Waka Kotahi COVID-19 transport impact - Fieldwork waves 1 to16 deep dive analysis - walking and cycling Regional active mode travel 18 August 2020 ...
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Waka Kotahi COVID-19 transport impact Fieldwork waves 1 to16 deep dive analysis – walking and cycling Regional active mode travel 18 August 2020
Disclaimer
This presentation is based on research currently being undertaken by Ipsos on behalf of
Waka Kotahi NZ Transport Agency. In order to support an agile response to the
unfolding COVID-19 pandemic, we are releasing regular key insights from the
preliminary findings prior to this work being finalised. Please note that these
deliverables have not yet been through a formal peer review process and the findings
should be considered as draft
While Waka Kotahi provided investment, the research was undertaken independently,
and the resulting findings should not be regarded as being the opinion, responsibility or
policy of Waka Kotahi or indeed of any NZ Government agency.
For more information on the COVID-19 weekly tracker contact:
NZTAresearch@nzta.govt.nz.
Draft version
Report content
COVID-19 transport impact
• Section 1 – About this research
• Overview & technical notes
• Section 2 – Context
• Section 3 – Modal Changes
• Section 4 – Perceptions of transport modes
• Section 5 – Active mode travel patterns and volume over time
• Section 6 – The role of journeys in active mode travel
Draft version
Section 1 – About this research
Draft version
COVID-19 transport impact study purpose and design
Description
➢ Continuous monitor to assess impact of COVID-19 on New Zealanders’
transport choices
➢ Investigates how transport choices, attitudes and perceptions are
changing
➢ Help to understand, respond and influence future travel habits
Study design
➢ Online 15 minute quantitative survey of a nationally representative sample
➢ Sample of about 1,260 (15+ year olds), including those with disability
Running weekly
Since Friday 3 April (alert level 4 began Thursday 26 March)
Published online: www.nzta.govt.nz/covid-19-impacts-on-transport
Study purpose and importance
Introducing the Waka Kotahi NZ Transport Agency COVID-19 transport impact tracker
The purpose of the COVID-19 Tracker research is: The importance of this research cannot be understated:
To understand how travel is changing and evolving in There has been a major disruption to travel habits that will have long-
response to COVID-19 on a weekly* basis lasting impacts on society:
such as trip frequency and journey type changes.
Where and how people choose to work, and how they choose to
To understand why travel is changing and evolving in travel will change.
response to COVID-19 on a weekly basis* Where people choose to travel domestically will change.
such as perceptions/attitudes towards COVID-19 and How these changes will play out in the medium to long-term is
travel options. unknown.
To include sufficient respondent numbers to understand how Without regularly updated knowledge on what people are thinking and
this varies across region and cohorts of interest feeling, and why they are choosing to travel the way they do, we won’t
such as different employment types (work from home, be able to quantify how people are responding to COVID-19, and without
essential workers, etc.), vulnerable groups (elderly, this we won’t know how best to respond and how we are able to influence
immune compromised, etc), DHB, etc. travel habits.
With regularly updated knowledge on COVID-19’s impact, we can
To provide weekly* updates in a timely fashion so actions and
planning can respond to the evolving situation. quantify how road usage and modal choice is changing, and we
will know how to respond and influence future travel habits.
*From wave 14, fieldwork and reporting shifted to bi-weekly to account for limited shifts occurring in level 1.
Draft version
Overview of research (i)
Research design and outputs
The design of the tracker ensures we can undertake analysis at various There will be three types of outputs available:
levels for different purposes, and for different stakeholders.
1) Online dashboard results delivered through Harmoni
The study is an online quantitative survey that is a nationally representative with the ability to manipulate, interrogate and export the data according to
sample of New Zealanders 15+ years old, with a weekly* sample of n=1259 per your areas of interest.
week, using quotas and data weighting. 2) Weekly* overview power point report
• With sample boosts to ensure sufficient numbers to analyse key benchmark and longitudinal summary of key data points
cities of interest, such as Tauranga, Dunedin and Hamilton. including extra analysis based on topical questions.
• Sample numbers allow longitudinal view on cohorts and regions of 3) An infographic of key data points
interest. visual representative of results for ease of access.
• Sample is sourced from a blend of online panels, including Pure
Profile, Ipsos iSay, Dynata and Consumer Link.
Average survey duration of between 12-15 mins
• Outside core measures, flexibility to change questions every week
Fast turnaround of results to allow a weekly* view on how behaviours and
attitudes are changing.
• Design will pivot according to alert level changes that may occur at
nationwide and regional levels.
*From wave 14, fieldwork and reporting shifted to bi-weekly to account for limited shifts
occurring in level 1. Example: Harmoni dashboard page
Draft version
Overview of research (ii)
Question topics in the survey
Question areas covered in the research:
Level of personal concern of the impact of COVID-19
to themselves, their families, their work, the country, etc.
Current essential journeys and domestic travel undertaken and changes
change is measured since February 2020.
Modal shift patterns and perceptual shifts
including perceptions of public transport among users
perceptions of various transports modes with regards to safety, hygiene, convenience, etc
perceptions of potential shifts in work flexibility.
Measuring attitudinal shifts towards COVID-19
using a Behavioural Science framework to understand current people’s current state to facilitate potential interventions.
Questions to classify into a variety of segments of interest
including journey profile, vulnerability, COVID-19 attitudes, economic, etc.
Ad hoc questions of interest
including perceptions of future workplace flexibility, domestic tourism intentions, intention to return children to school, etc.
Draft versionWave Dates of fieldwork Alert level
Report notes (i) 1
2
Friday 3 April to Wednesday 8 April
Thursday 9 April to Tuesday 14 April
Alert level 4
Key information to note for this report 3 Thursday 16 April to Monday 20 April
4 Thursday 23 April to Sunday 26 April
• This report is based on sixteen waves of fieldwork, see table ► 5 Thursday 30 April to Sunday 3 May
Alert level 3
6 Thursday 7 May to Sunday 10 May
• The sample for this report is presented in a number of ways, 7 Thursday 14 May to Sunday 17 May
including as a combined sum of the first four fieldwork waves, 8 Thursday 21 May to Sunday 24 May
combined sum of waves 5 and 6, combined sum of waves 7, 8 Alert level 2
9 Thursday 28 May to Monday 1 June
9 and 10, and combined waves 11, 12, 13, 14, 15 and 16 as well
as individual waves where appropriate. 10 Thursday 4 June to Sunday 7 June
11 Thursday 11 June to Sunday 14 June
• The focus of this report is tracking trends and changes 12 Thursday 18 June to Sunday 21 June
over time and how New Zealanders have adjusted their use of
13 Thursday 25 June to Sunday 28 June
transport and travel behaviour. As this study was not conducted Alert level 1
14 Thursday 2 July to Sunday 5 July
prior to level 4 restrictions, respondents were asked to recall
their transport and travel behaviour prior to level 4 restrictions 15 Thursday 16 July to Sunday 19 July
based on a ‘normal week’ ie in February this year. 16 Thursday 30 July to Sunday 2 August
• At a total population level, significance testing indicated in this wave 16 report is based on a statistically significant shift of results between
waves 1 to 16, as well as statistically significant shifts from combined level 4 alert results vs combined level 3 alert results vs combined level
2 alert results vs combined level 1 alert results to date.
• At a sub-population level, significance testing indicates a statistically significant difference between the sub-population and the base or total
population. The total population benchmark is based on the total sample base collected across the first four waves of data.
Draft versionReport notes (ii)
Key transport terms and demographic groupings
There are a number of transport terms used in this There are a number of demographic subgroup terms used in this report.
report. Below are key terms with definitions: Below are key groups with definitions:
Public transport (PT): refers to bus, train and ferry Any disability: All respondents indicating that they have a great deal of
and does not include taxi/uber services and private difficulty or cannot do the following: seeing, even when wearing glasses;
hirer vehicles (these will be treated separately in the hearing, even with a hearing aid; walking or climbing steps; remembering or
analysis). concentrating; washing or dressing; communicating in their usual language.
Private vehicle (PVT): refers to car, van, motorcycle COVID-19 vulnerable: All respondents indicating that they personally have
or scooter, and does not include e-bikes. a medical condition that makes them acutely vulnerable to COVID-19, such
as heart disease, hypertension, chronic respiratory disease or cancer.
Active modes: refers to walking (of at least 10 mins)
and cycling, including e-bikes.
Draft versionSample structure and further definitions
Definition Waves 1 - 4 Waves 5 - 6 Waves 7 - 10 Waves 11 – 16
Sample MoE* Sample MoE* Sample MoE* Sample MoE*
Total n=5,060 1.38 n=2,532 1.95 n=5,043 1.38 n=7,561 1.13
Auckland All in Auckland Region, including city and surrounding rural areas n=1,324 2.69 n=662 3.81 n=1,324 2.69 n=1,964 2.21
Tauranga All living in the city of Tauranga n=400 4.9 n=200 6.93 n=400 4.9 n=599 4.0
Hamilton All living in the city of Hamilton n=400 4.9 n=200 6.93 n=400 4.9 n=600 4.0
Wellington All in Wellington Region, including city and surrounding rural areas n=684 3.75 n=418 4.79 n=799 3.47 n=1,129 2.92
Christchurch All living in the city of Christchurch n=400 4.9 n=200 6.93 n=400 4.9 n=601 4.0
Dunedin All living in the city of Dunedin n=398 4.91 n=200 6.93 n=392 4.95 n=607 3.98
Rest of NZ All living in areas outside of those noted above n=1,454 2.57 n=652 3.84 n=1,328 2.69 n=2,061 2.16
Disability, Vulnerability and COVID-19**
Any Disability See previous page n=550 4.18 n=297 5.69 n=611 3.96 n=866 3.33
COVID-19
See previous page n=1,230 2.79 n=597 4.01 n=1,139 2.9 n=1,640 2.42
Vulnerable
Aged 70 + All indicating that they are considered higher risk for COVID-19 as they are aged 70
n=618 3.94 n=315 5.52 n=627 3.91 n=830 3.4
years or over
*Margin of error is calculated at 95% confidence level based upon an estimated population of 4,978,388 as at Thursday 16 April 12:44pm.
**Sub-groups are not mutually exclusive as individuals may fit into more than one category (for example, some may be aged over 70 and also have a chronic respiratory condition that makes
them more vulnerable to COVID-19) any such respondents within the sample would be counted in both applicable groups.
Margin of error is calculated based upon an estimated population of 4,978,388 as at Thursday 16 April 12:44pm.
Draft versionContext: New Zealand COVID-19 timeline
3 February 20 April
Travellers leaving from China denied entry to NZ unless they are NZ citizens
PM Jacinda Ardern announces NZ will move to level 3 at 11:59pm, 27 April,
or permanent residents
remaining there for at least two weeks
28 February 27 April
New Zealand confirms its first COVID-19 case
Travel restrictions introduced for those coming from Iran New Zealand moved to alert level 3 at 11:59pm
4 May
4–18 March First day where no new COVID-19 cases are recorded in NZ
Cases continue to rise, with the number reaching 20 by 18 March
11 May
14 March PM Jacinda Arden announces that New Zealand will move to level 2 at 11:59pm, 13 May, with
Announcement that all travellers arriving in NZ must self-isolate for 14 days schools to open Monday 18 May and bars Thursday 21 May.
upon arrival
13 May
16 March
New Zealand moved to alert level 2 at 11:59pm
Public gatherings of more than 500 people banned
18 May & 21 May
17 March All schools open to students on Monday and bars allowed to open Thursday
COVID-19 business package worth $12.1 billion announced
8 June
19 March
New Zealand bans all non-residents from entering the country New Zealand moved to alert level 1 at 11:59pm
Indoor events of more than 100 people now banned 16 June
Two new COVID-19 cases are confirmed after 24 days with no new cases, followed by more
21 March new cases during the week
PM Jacinda Ardern announces a four level, country-wide alert system
New Zealand at alert level 2 25 June
12 active COVID-19 cases are confirmed in NZ, with a number of changes implemented to
23 March ensure improved border management
NZ upgraded to level 3, public notified this would be raised to level 4 at 6 July – present
11:59pm, 25 March. Non-essential services required to close in 48 hours Victoria experiences a resurgence of COVID-19 cases and re-enters lockdown conditions.
24 March All public transport to be free during lockdown period New cases also begin to appear again in NSW and restrictions begin to be reimposed
25 March 15 July
New Zealand upgraded to level 4, resulting in a nationwide lockdown PM Jacinda Arden announces response framework going forward, which will involve localised
lockdowns in the event there was another community-wide outbreak of COVID-19
3 April Waka Kotahi COVID-19 impact tracker
fieldwork beginsDeep dive analysis Emergent stories and trends • It is expected that with the constantly evolving nature of the COVID-19 pandemic, the changing alert levels governing public behaviour and emergent narratives impacting civil society discourse, the environment in which this research takes place will also be ever evolving. • Deep dive analysis delivered as part of this research will enable questions to be answered outside of the core remit, and to periodically check in on societal variables and trends that may not be of interest every single week, but will speak to contextual changes and important landmarks in New Zealand’s response to the COVID-19 overtime. • Content included in the deep dive is generated from steering group requests. • The emerging narratives in this deck are in places more complex than would warrant inclusion in the core report, included also are other narratives that may take on greater prominence later on when more responses are accumulated or when alert levels are changed.
Section 2 – Context
Draft versionKey findings – context
Waka Kotahi objective – how do general attitudes and fears
impact transport usage?
• Understanding attitudes around COVID-19 provides the context in which journey
and mode changes can be viewed. General fears and attitudes may work as
external factors influencing the choices that New Zealanders make.
• Economic concerns around the impact of COVID-19 are largely unchanged,
although there has been continued increase in the proportion claiming to be
concerned about job security.
• Explicit concerns about infection and transmission have not abated to the low level
they reached at the start of level 1. Since new cases were reported ahead of wave
12, more than a third have expressed explicit concern about catching the virus in
each subsequent wave of interviewing.
• Contextually, the public continues to receive updates about new cases caught at the
border among returning New Zealanders.
• In light of this consistently high level of concern, there has been a slight reversion
towards self isolation, with roughly one in four now wholly or partially self isolating,
the highest proportion since wave 12.
Draft versionAlthough not statistically significant wave on wave, there has been a steady
increase over July in those concerned about risk of job loss
Concerns: economic concerns
Discussions about Discussions about level 1 begin
level 3 begin 58% 57%
57%
55% 55% 56% 55% 56%
54% 53% 54% 54% 54%
53% ▼ 53% Your personal financial
situation
51%
The economy of New Zealand
in general
40%
38% 38% 38%
36% 37% 37% 37%
▼ 36% 35% 36% 35% 36% 36% 34%
35% ▼
The risk of losing employment
34% 34%
33% 33% of myself or others in
32% 32% 32% 32% 32% household
31%
30% 30% 30% 30% 30%
▼ 29%
Public/school holidays
New cases reported
W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 W14 W15 W16
(n=1264) (n=1263) (n=1232) (n=1301) (n=1267) (n=1265) (n=1263) (n=1264) (n=1255) (n=1261) (n=1268) (n=1263) (n=1263) (n=1230) (n=1273) (n=1264)
Level 4 Level 3 Level 2 Level 1
QPTUSE3. How personally concerned are you about each of the following?
Base:all adults 15+ in New Zealand
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodConcerns about COVID-19 transmission have not recovered to the lower level
seen at the start of level 1
Concerns: COVID-19 transmission
Discussions about Discussions about level 1 begin
level 3 begin
55%
▲
52% The risk of COVID-19 infection
49% 51% 51% 49% 51% to yourself
49% ▲ 50% 50% 50% 49% 49% ▼ 50%
49%
48%
45% 45%
▼
43%
41% The risk of transmitting COVID-
40% 38% 39% 19 to others
43% 39% 39% ▲ ▲
37% 36%
40% 40% 36%
38% 38% 38% ▲ 33% 34%
▼ ▼ 36% 36%
35% 32% 36%
35% ▲ 35% The impact COVID-19 will
▼ 30% 33% have on the world
31% 31%
28%
Public/school holidays
New cases reported
W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 W14 W15 W16
(n=1264) (n=1263) (n=1232) (n=1301) (n=1267) (n=1265) (n=1263) (n=1264) (n=1255) (n=1261) (n=1268) (n=1263) (n=1263) (n=1230) (n=1273) (n=1264)
Level 4 Level 3 Level 2 Level 1
QPTUSE3. How personally concerned are you about each of the following?
Base:all adults 15+ in New Zealand
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodThere has been a significant increase in those wholly or partially self-isolating
in wave 16
Reported activity and movement during the past seven days by wave, excludes exercise
Discussions about Discussions about
level 3 begin level 1 begin
6% 4% 2% 3% 6% I did not leave the house for any reason during
11% 9% ▼ 6% 6% ▼ 4% ▼ ▲
12% ▼ this week
18% 18% 17% 16% 14% ▼ 17% 17% 15% 14%
▼ 19%
▲ I left the house only for essentials (e.g. food,
9% medical reasons or supporting a vulnerable
39% 37%
35% 35% 11% 10% person)
▼ 14% ▼ 10%
13% I left the house for essentials and/or also to
12%
51% 52% 12% 8% collect things I’d purchased, or to travel a short
54% 13% ▼ distance within my region
▼ ▲
61% 66% 12%
63% 66% ▼ ▲ 13% I travelled for essentials, and for some other
16% reasons this week
14% 10%
▼ 43%
13%
13% 33% 38%
▲ ▲ 47%
▲ 44% I am moving around as I normally would
14% ▲
21% 15% ▲ 22%
15% ▲ ▼ 10% 15% ▲
▲ 7% ▲ ▲ I am an essential worker and am required to
8% 7% ▲
6% 5% ▲ 7% 4% 5% ▲ leave home for my job
1% 1% 2% 1% 1% ▼ 2%
13% 17%
▲ 19% 16% 16% 19% 19% 17% 13% 13%
12% 10% 12% 10% 12% 11% ▲ ▼ I left the house mainly to travel to work
W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 W14 W15 W16
(n=1264) (n=1263) (n=1232) (n=1301) (n=1267) (n=1265) (n=1263) (n=1264) (n=1255) (n=1261) (n=1268) (n=1263) (n=1263) (n=1230) (n=1273) (n=1264)
Level 4 Level 3 Level 2 Level 1
ISO_1_TRAVEL. Which, if any of the following best describes your approach to leaving the house over the last week, excluding for exercise?
Base:all adults 15+ in New Zealand
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time period
Draft versionSection 3 – Modal changes
Draft versionThe proportion claiming to use public transport during the past week increased
significantly and is above pre-lockdown claimed usage for the first time
Changes in mode usage by wave Discussions about level 1
Tertiary education semester starts with face to
face teaching returning
Discussions about begin
94% 93% 94% 92% 95% 94% 95% 93%
level 3 begin
91% 92%
87% 88%
83% 83% 84%
81%
77%
74% 73% 72%
71% 69% 70% 70%
68% 68% 78% 67% 67% 67% 67% 66% 68%
63%
NETT Active modes
NETT Public transport
NETT Private vehicle
21% 23% Public/school
19% 18% 19% 17% holidays
14% 14% 15% 16%
10%
6% 6% 6% 7% 7%
5% NB: Wave 1 began outside of university
term time, with term due to restart on 2 nd
March. Pre-alert behaviour is anchored
in February 2020 and may not
Pre-alert W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 W14 W15 W16 incorporate normal university term time
behaviour.
Level 4 Level 3 Level 2 Level 1
QFREQ1/QFREQ2 –And in the course of a normal week, on how many days would you normally travel via each of the methods listed below? And during the past seven days, on how many days have you travelled
via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a normal week (e.g. in February this year)?/ And which, if any of the following types of
journeys did you make during the last seven days? Base: all adults 15+ in New Zealand in Benchmark: (n=3,759); Wave 1 (n=1,264); Wave 2 (n=1,263); wave 3 (n=1,232); wave 4 (n=1,301), wave 5 (n=1,267), wave 6
(n=1,265), wave 7 (n=1,263), wave 8 (n=1,264), wave 9 (n=1,255), wave 10 (n=1,261); wave 11 (n=1,268); wave 12 (n=1,263); wave 13 (n=1,263); wave 14 (n=1,230), wave 15 (n=1,273), wave 16 (n=1,264)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodActive mode travel has always been primarily driven by walking, but significant recent
increases in cycling have coincided with a directional increase in active modes
Active mode travel: national overview
77%
▲
74% 73% 72%
69% 68% 68% 70% 68% 70%
67% 67% 67% 67% 66%
75% 72% 63%
▲ 71% 70%
67% 66% 68% 66% 69%
66% 65% 66% 66% 65% 65%
62%
Walk of more than 10 mins
Bicycle including E bike
NETT Active modes
16%
13% 15% 16% 14% 14% ▲ Public/school holidays
11% ▲ 13% 14%
11% 12% 8%
10% 9% 10% ▼ 11%
Discussions about
New cases reported
level 3 begin
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ1/QFREQ2 –And in the course of a normal week, on how many days would you normally travel via each of the methods listed below? And during the past seven days, on how many days have you travelled
via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a normal week (e.g. in February this year)?/ And which, if any of the following types of
journeys did you make during the last seven days? Base: all adults 15+ in New Zealand in Benchmark: (n=3,759); Wave 1 (n=1,264); Wave 2 (n=1,263); wave 3 (n=1,232); wave 4 (n=1,301), wave 5 (n=1,267), wave 6
(n=1,265), wave 7 (n=1,263), wave 8 (n=1,264), wave 9 (n=1,255), wave 10 (n=1,261); wave 11 (n=1,268); wave 12 (n=1,263); wave 13 (n=1,263); wave 14 (n=1,230), wave 15 (n=1,273); wave 16 (n=1,264)
*Wave frequency shifts to once every 2 weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodAll public transport modes have seen a statistically significant increase in wave
16, with bus usage roughly equivalent to claimed pre-lockdown behaviour
Changes in mode usage by wave
Discussions about Discussions about level 1 Tertiary education semester starts with face to
level 3 begin begin face teaching returning
19% 20%
17%
16% 16%
14% 14% Bus
13% 13% 13%
Train
12% Ferry
10%
8% 8% Taxi/ Uber
8% 8% 8% 10%
7% 7% 7% 7% 7% Flying by plane
6% 6% 6% 7%
6% 6% 6%
6% 4% 5% 5%
5%
4% Public/school
4% 4% 3% 5% 4% 6%
3% 3% 3% 5% 3% holidays
3% 3% 3% 2% 4%
2% 3% 5%
2% 3% 3%
3% 3% 3%
NB: Wave 1 began outside of
2% 2% 2% 1% 2% 2% 3% 2% 2% 3% university term time, with
term due to restart on 2nd
March. Pre-alert behaviour is
Pre-alert W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 W14 W15 W16 anchored in February 2020
and may not incorporate
normal university term time
Level 4 Level 3 Level 2 Level 1 behaviour.
QFREQ1/QFREQ2 –And in the course of a normal week, on how many days would you normally travel via each of the methods listed below? And during the past seven days, on how many days have you travelled
via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a normal week (e.g. in February this year)?/ And which, if any of the following types of
journeys did you make during the last seven days? Base: all adults 15+ in New Zealand in Benchmark: (n=3,759); Wave 1 (n=1,264); Wave 2 (n=1,263); wave 3 (n=1,232); wave 4 (n=1,301), wave 5 (n=1,267), wave 6
(n=1,265), wave 7 (n=1,263), wave 8 (n=1,264), wave 9 (n=1,255), wave 10 (n=1,261); wave 11 (n=1,268); wave 12 (n=1,263); wave 13 (n=1,263); wave 14 (n=1,230), wave 15 (n=1,273), wave 16 (n=1,264)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodThe average number of days walking has increased in line with the proportion
claiming to travel that way, with more than 2.5 days travelling that way per week
Walking – mode usage and frequency
Discussions about Discussions about level 1
4 level 3 begin begin 120
Tertiary education semester starts with face to
face teaching returning
3.5
100
31% 33% 34% 34% 29% 30% 32% 35% 34% 34% 35% 38% 35% 34% 31%
3 3.27
3.15 3.10 3.04 2.94
2.86 2.81 25% 28% 80
2.5 2.70 2.78
2.59 2.67 2.57 2.68
2.52 2.46 2.53
2.37 No walking
2 60
NET Any
1.5 AVG Walking days per week
75% 72% 40
69% 67% 66% 66% 71% 70% 68% 65% 66% 66% 65% 65% 66% 69%
1 62%
20
0.5 NB: Wave 1 began outside of university term
time, with term due to restart on 2nd March. Pre-
alert behaviour is anchored in February 2020
0 0 and may not incorporate normal university term
Pre-alert 3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul - time behaviour.
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1
QFREQ1/QFREQ2 –And in the course of a normal week, on how many days would you normally travel via each of the methods listed below? And during the past seven days, on how many days
have you travelled via each of the modes listed below? Base: all adults 15+ in New Zealand in Benchmark: (n=3,759); Wave 1 (n=1,264); Wave 2 (n=1,263); wave 3 (n=1,232); wave 4 (n=1,301), wave
5 (n=1,267), wave 6 (n=1,265), wave 7 (n=1,263), wave 8 (n=1,264), wave 9 (n=1,255), wave 10 (n=1,261), wave 11 (n=1,268); wave 12 (n=1,263); wave 13 (n=1,263); wave 14 (n=1,230); Wave 15
(n=1,273), wave 16 (n=1,264)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodThe average number of cycling days has recovered significantly, but is still a little
way short of the volume recorded at the start of level 3
Cycle travel – mode usage and frequency
3
Discussions about Discussions about level 1 120
Tertiary education semester starts with face to
begin face teaching returning
level 3 begin
2.5 100
2 80
No cycling
1.5 85% 87% 85% 84% 86% 86% 87% 86% 88% 84% 60
89% 90% 89% 91% 90% 92% 89% NET Any
AVG cycling days per week
1 40
0.54
0.46 ▲ 0.43 0.39
0.45 0.36 0.37 ▲ ▼ 0.40 0.40 0.32 ▲
0.5 ▼ 0.28 ▲ 0.35 ▼ 0.34 20
▼ 0.26 0.28 0.24 0.26
NB: Wave 1 began outside of university term
15% 11% 13% 15% 16% 14% 14% 13% 14% 11% 10% 12% 11% 16% time, with term due to restart on 2nd March. Pre-
10% 9% 8% alert behaviour is anchored in February 2020
0 0 and may not incorporate normal university term
Pre-alert 3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul - time behaviour.
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1
QFREQ1/QFREQ2 –And in the course of a normal week, on how many days would you normally travel via each of the methods listed below? And during the past seven days, on how many days
have you travelled via each of the modes listed below? Base: all adults 15+ in New Zealand in Benchmark: (n=3,759); Wave 1 (n=1,264); Wave 2 (n=1,263); wave 3 (n=1,232); wave 4 (n=1,301), wave
5 (n=1,267), wave 6 (n=1,265), wave 7 (n=1,263), wave 8 (n=1,264), wave 9 (n=1,255), wave 10 (n=1,261), wave 11 (n=1,268); wave 12 (n=1,263); wave 13 (n=1,263); wave 14 (n=1,230); Wave 15
(n=1,273), Wave 16 (n=1,264)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodSection 4 – Perceptions of transport modes The following transport modes image slides are from Wave 15 report
Key findings – perceptions of transport modes Waka Kotahi objective – how might people’s perception of transport modes impact travel choices • The COVID-19 environment may over time change the way that New Zealanders perceive different modes of transport. This will be important to understand as these perceptions may impact people’s travel patterns and behaviour. • For trains and buses a lot of perceptions have improved over time but one thing that has not shifted is the capacity for social distancing, which appears to be more of a fixed perception around public transport modes and generally immovable within the public consciousness. • Taxis and ubers have also improved on many perceptions through the levels, in particular improving the perception of social distancing capabilities from level 3 onwards. • Generally perceptions of active modes were better in level 3 before dropping off in many places, this was particularly the case for cycling which was much better perceived before the return of other vehicles to the roads.
With each COVID-19 alert level, the proportion saying that buses are safe,
convenient and can get them where they need has increased
Perceptions of the bus NB: users were only asked about transport
modes that they personally use during a normal
Is safe week.
60%
50%
Allows me to keep my distance from others Is hygienic
40%
30%
20%
10% Level 4
Is reliable 0% Is convenient Level 3
Level 2
Level 1
Is affordable Can get me to where I need to go
Lets me travel the way I want to travel
QPTIMAGE. Image Statements - And which transportation methods would you currently associate with each of the following qualities?
Base: New Zealanders who travel by Bus normally: level 4 (n=943), level 3 (n=452); level 2 (n=979); level 1 (n=1,192)
Indicates a statistically significant increase against level 2
Indicates a statistically significant decrease against level 2Perceptions of travel by train are broadly better overall in level 1, with the exception
of reliability and capacity for social distancing
Perceptions of the train NB: users were only asked about transport
modes that they personally use during a normal
Is safe week.
50%
45%
40%
Allows me to keep my distance from others 35% Is hygienic
30%
25%
20%
15%
10%
Level 4
5%
Is reliable 0% Is convenient Level 3
Level 2
Level 1
Is affordable Can get me to where I need to go
Lets me travel the way I want to travel
QPTIMAGE. Image Statements - And which transportation methods would you currently associate with each of the following qualities?
Base: New Zealanders who travel by train normally: level 4 (n=323), level 3 (n=160); level 2 (n=405); level 1 (n=443)
Indicates a statistically significant increase against level 2
Indicates a statistically significant decrease against level 2Private hire vehicles are also perceived as better in level 1 than they were in
previous levels on almost every metric, with affordability the exception
Perceptions of taxi / uber NB: users were only asked about transport
modes that they personally use during a normal
Is safe week.
60%
50%
Allows me to keep my distance from others Is hygienic
40%
30%
20%
10% Level 4
Is reliable 0% Is convenient Level 3
Level 2
Level 1
Is affordable Can get me to where I need to go
Lets me travel the way I want to travel
QPTIMAGE. Image Statements - And which transportation methods would you currently associate with each of the following qualities?
Base: New Zealanders who normally travel by Uber / Taxi: level 4 (n=355), level 3 (n=164); level 2 (n=471); level 1 (n=498)
Indicates a statistically significant increase against level 2
Indicates a statistically significant decrease against level 2Perceptions of travelling by car have been stronger than other modes and the
least likely to change from level to level
Perceptions of car / van NB: users were only asked about transport
modes that they personally use during a normal
Is safe week.
100%
90%
80%
Allows me to keep my distance from others 70% Is hygienic
60%
50%
40%
30%
20%
Level 4
10%
Is reliable 0% Is convenient Level 3
Level 2
Level 1
Is affordable Can get me to where I need to go
Lets me travel the way I want to travel
QPTIMAGE. Image Statements - And which transportation methods would you currently associate with each of the following qualities?
Base: New Zealanders who normally travel by Car / Van: level 4 (n=1,453), level 3 (n=746); level 2 (n=1,584); level 1 (n=1,861)
Indicates a statistically significant increase against level 2
Indicates a statistically significant decrease against level 2In level 1 there has been a statistically significant increase in the proportions who
say walking can get them where they need to go and travel how they want
Perceptions of walking NB: users were only asked about transport
modes that they personally use during a normal
Is safe week.
90%
80%
70%
Allows me to keep my distance from others Is hygienic
60%
50%
40%
30%
20%
10%
Level 4
Is reliable 0% Is convenient Level 3
Level 2
Level 1
Is affordable Can get me to where I need to go
Lets me travel the way I want to travel
QPTIMAGE. Image Statements - And which transportation methods would you currently associate with each of the following qualities?
Base: New Zealanders who normally use walking as a means of travel: level 4 (n=1,445), level 3 (n=736); level 2 (n=1,579); level 1 (n=1,840)
Indicates a statistically significant increase against level 2
Indicates a statistically significant decrease against level 2Perceptions of cycling as a transport mode have generally weakened since
level 3 and have changed little since level 2
Perceptions of bicycle including e-bike NB: users were only asked about transport
modes that they personally use during a normal
Is safe week.
80%
70%
Allows me to keep my distance from others 60%
Is hygienic
50%
40%
30%
20%
10%
Level 4
Is reliable 0% Is convenient Level 3
Level 2
Level 1
Is affordable Can get me to where I need to go
Lets me travel the way I want to travel
QPTIMAGE. Image Statements - And which transportation methods would you currently associate with each of the following qualities?
Base: New Zealanders who travel by bike normally: level 4 (n=782), level 3 (n=419); level 2 (n=795); level 1 (n=856)
Indicates a statistically significant increase against level 2
Indicates a statistically significant decrease against level 2Section 5 – Active mode travel patterns and volume over time
Active modes travel patterns and volume over time Active modes deep dive The national context Nationally, active modes have declined in winter weather conditions and walking has made up the majority of active mode travel in all regions. Peak levels of active mode travel occurred at the end of level 4 and the beginning of level 3, although there has been a recent spike in cycling as a mode of transport across the country during the latest wave, and a directional increase in reported active mode travel since wave 13 (end of June). Wellington and Dunedin have been more resilient in rates of active mode travel The pattern of declining active mode travel across winter has not been seen to the same extent in these two major urban areas. In part this could be driven by a pre-existing higher rates of usage for daily commutes and non-essential journeys with active modes continuing to make up a larger share of travel for these journeys than other cities. Wellington and Dunedin have consistently seen higher volume of weekly walking days than other urban centres or rural New Zealand, but have not been national leaders on weekly cycling volume. Where this analysis is possible, it’s apparent that it is in Wellington city rather than the Greater Wellington region that this activity is most common. Urbanity is a contributing factor Undoubtably active modes as a means of travel are often easier in cities and towns where the trips may be shorter with safer pedestrian areas. As such, reported active mode travel has generally been higher where population density is higher, driven by greater rates of walking. However, there is much more variation in cycling where reported mode usage has often been as high, or higher in rural areas. In some regions, active mode usage for certain journeys has recovered with level 2 and 1 Reopening schools and universities has meant more active mode travel in many regions, particularly Christchurch and Dunedin, although Auckland has seen a shift towards public transport for this journey type. Walking and cycling have not fully recovered as commuting modes in the cities of Wellington and Dunedin, although they continue to be used more for this purpose in these regions. There has never been much regional variation in walking children to and from school, and all regions still have lower levels of this travel than before lockdown, but this could be a feature of patterns during winter and summer terms. Leisure travel has been somewhat slower to recover than essential journeys, but active mode usage for these purposes remains higher in Dunedin and Wellington city, where it was more common before lockdowns began.
In the North Island, active mode travel has consistently been highest in the Wellington
region and hasn’t dropped in the same way as other regions through winter
Weekly active mode travellers by level: major urban areas on the North Island
75% 75% 74% 73% 77% 75%
▲ 71% 74% 72% 75%
71% 69% 69% 67%
▼ 68% 69%
▼
62% 65% 66% 64%
▼
Total
Auckland
Wellington
Tauranga
Hamilton
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
Bases: All in Auckland interviewed in level 4 (n=1,515), level 3 (n=757), level 2 (n=1,576), level 1(n=2,411), Wellington in L4 (n=478), L3 (n=308), L2 (n=582), L1(n=840); Tauranga in L4 (n=207), L3 (n=101), L2
(n=215), L1 (n=337); in Hamilton in L4 (n=218), L3 (n=110), L2 (n=231), L1 (n=333)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodPatterns of active mode travel in Dunedin are similar to Wellington in that they have
not seen the seasonal decline present in other regions
Weekly active mode travellers by level: major urban areas on the South Island/rest of New Zealand
78%
75% 73% 75% 75%
72% ▲ 71% 69% 73% 73%
71% ▼ 67% 70%
67% 65% ▼
▼ 64%
Total
Christchurch
Dunedin
Rest of New Zealand
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
* Bases: All in Christchurch interviewed in level 4 (n=330), level 3 (n=167), level 2 (n=360), level 1(n=537); in Dunedin in L4 (n=437), L3 (n=226), L2 (n=457), L1 (n=716); in the Rest of New Zealand in L4 (n=1,351),
L3 (n=636), L2 (n=1,345), L1 (n=2,129)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodWalking has generally been more common in Wellington and the number of
reported walking days there has increased steadily since the middle of June
Number of walking days: major urban areas on the North Island
3.45
3.24 New cases reported Auckland
3.17 3.15 3.13 3.11
3.09
3.04
2.98 2.96 2.97 2.95
2.92 2.94
2.86 2.92
3.02 2.82 2.8 Wellington
2.96
2.71 2.84 2.88 2.92 2.93
2.78 2.77
2.66▲ 2.59 2.75
2.8 2.66
2.72 2.5 2.48 2.48
2.51
2.58
2.64
2.38 2.5 Tauranga
2.55 2.53 2.35
2.41 2.34
▼ 2.37 2.16 2.4
2.33 ▼ 2.12 2.09 2.34▼ 2.27 2.33
▼ 2.2 2.2 Hamilton
2.12 2.17
▼ 2.07
2.05
2.01 Public/school
1.91
holidays
1.69
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
*Wave frequency shifts during Level 1 to once every two weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodWhile cycling has generally occurred at a lower level and been more variable,
it has been used more in Tauranga than other North Island cities
Number of cycling days: major urban areas on the North Island
New cases reported Auckland
0.73 0.74
0.7▲
0.67 Wellington
0.64 0.69
0.6
0.56 0.56 0.57
0.55▲ 0.54 0.53 0.52 0.49
0.5
▲
Tauranga
0.46
0.44 0.45 0.46 0.45
0.43 ▲
0.43
0.41 0.4 0.4 0.41
0.44
0.39 0.37 0.36
0.35 0.34 0.35
0.42 0.39▲ 0.32 0.41 0.38 0.35 0.34 Hamilton
0.4 ▼ 0.38
0.38 0.32 0.27 0.36
0.36 0.33
0.29 0.34 0.32 0.23
0.31
0.15 Public/school
▼ 0.26▼ 0.22 0.25
0.24 holidays
0.22 0.22 0.17 ▼
0.22
▼
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
*Wave frequency shifts during Level 1 to once every two weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodThe volume of walking in Dunedin has generally been more common at all points
during the lockdown period
Number of walking days: major urban areas on the South Island/rest of New Zealand
New cases reported
Christchurch
3.52 3.7
▲
3.29
Dunedin
3.16 3.18
3.12 3.12 3.09
3.3
2.97 2.99
2.91 2.98 2.92
2.86
2.81 2.78 2.92
2.79 2.86 2.72 Rest of New
2.68 2.81 2.78 2.63
▲ ▼
2.75 2.79 2.75 2.62
Zealand
2.71
2.55 2.47
2.56 2.6 2.56
2.32 Public/school
2.44 2.4 2.44 2.31
2.43 holidays
2.32 2.3 2.32 2.12▼
2.27 2.28
2.22
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
*Wave frequency shifts during Level 1 to once every two weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodIn Dunedin walking occurred on a much larger scale, whereas Christchurch and rural
parts of New Zealand often saw greater rates of cycling than the rest of the country
Number of cycling days: major urban areas on the South Island/rest of New Zealand
0.93▲ New cases reported
Christchurch
0.82 0.82▲
0.83 0.82
0.77 0.74
0.68 0.69
0.62 Dunedin
0.6 0.63 0.59
0.68 0.67
0.56 0.55
0.51 0.6 0.51
0.58 0.52
0.46
0.43 0.42 0.48 0.51 0.43
0.47 0.38
0.42 0.44 Rest of New
0.34 0.42
0.39 0.38
Zealand
▼
0.33 0.32 0.32
0.3 0.3 Public/school
0.28
0.24 0.25 holidays
0.21 0.21
0.18 0.19
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
*Wave frequency shifts during Level 1 to once every two weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodThere is a relationship between lower rates of reported weekly active mode travel
and rural areas, with city centres seeing the highest rates of active mode travel
Active mode travel by urban vs. rural location
New cases reported
80% A city centre
▲ 80%
77%
▲ 76% 76% 75%
76% 75% 75% 75% 76% A suburban area
74% ▲ 75% 73%
72% 74% 72% 71% 72% 71% 71%
71% 75% 72%
70% 72% 71% 70%
70% 71% 70% 69% A town
70% 71% 70% 68% 69% 70%
69% 69% 69% 68% 68% 67% 68%
▼ 68%
67% 67% 64%
66% 66% NETT
63% 65% 65% Urban/Suburban/town
62% 64% 62%
▼ 61%
62% 62% ▼
60% 60% 60% NETT Rural
60% 60%
58% 58% 58%
Public/school
Discussions about
level 3 begin holidays
54%
▼ 53%
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
*Wave frequency shifts during Level 1 to once every two weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodThere have been weeks during lockdown where cycling as a mode of transport has
been as common, or more common in rural areas than in towns and cities
Weekly reported cycling by urbanity
33%
▲
A city centre
28%
24% 22% A suburban area
22% ▲
20% 23% 21%
▲ 20% 20% 19% ▲ 19%
18% A town
18% 17% 19% 19% 17% 17%
▲ ▲
15% 17% 15% 15% 16%
15%
15% 15% 14% 13% 15% NETT
13% 13% 12% 12% 13% 12%
12% 11% 13% ▼ 12% Urban/Suburban/town
12% 12% 12% 10% 12% 10% 10% 11%
11% 10% 12%
▼ 10% 10% 11% ▼ ▲ 9%
9% 10% 10% 10% NETT Rural
9% 8% 9% 9% 9% 8% 9% 8% 9% 9%
7% ▼
▼ Discussions about 7% 7% 7% 6% Public/school
level 3 begin
holidays
3Apr - 9Apr - 16Apr- 23Apr - 30Apr - 7May - 14May - 21May - 28May - 4Jun - 11Jun- 18Jun - 25Jun - 2Jul - 16Jul- 30Jul -
8Apr 14Apr 20Apr 26Apr 3May 10May 17May 24May 1Jun 7Jun 14Jun 21Jun 28Jun 5Jul 19Jul 2Aug
Level 4 Level 3 Level 2 Level 1*
QFREQ2 And during the past seven days, on how many days have you travelled via each of the modes listed below? QJOURNEY1-2. Which, if any of the following types of journeys would you have made in a
normal week (e.g. in February this year)?/ And which, if any of the following types of journeys did you make during the last seven days?
*Wave frequency shifts during Level 1 to once every two weeks after wave 15 (2-5 July)
Indicates a statistically significant increase from previous time period
Indicates a statistically significant decrease from previous time periodSection 6 – The role of journeys in active mode travel
Prior to lockdown, travelling for education and taking children to school had the
biggest share of active mode travel, journeys which all but disappeared under level 4
Active modes as a share of essential journey modes, pre-alert
8% 4%
10% 9%
20% 3% 5% 15%
11% 6%
2%
21%
NETT Active modes
NETT Public Transport
88% 90%
78% 83% 83% NETT Private vehicle
58% Taxi/ Uber
Don’t know
Travelling to work Travelling to a place Going to a medical Shopping for Travel to support Taking children
of education appointment groceries vulnerable friend or to/from school
family
QMODE1 How would you normally make each of the following types of journeys listed below? For each journey, please select the method of transport that makes up the majority of the journey
Base: all adults 15+ in New Zealand interviewed during benchmark waves (n=3,759)With the exception of central Wellington and Dunedin, active mode commuting
largely stopped across New Zealand during the higher levels of lockdown
Commuter modes
2% 6% 3%
▼ 9% 18% 9% 7%
9% ▼
10% 7% 11% 30% ▼
11% 2% 5% ▲ 3%
▼ 6% ▼ ▲ 26% 18% Pre-alert
▼ ▲
▲
29%
90%
84% 85% 86% ▲ 88%
78% ▲ ▲ 74% ▲ 75% ▲
67%
40%
▼
Pre-alert total Tauranga (n=164) Hamilton (n=170) Christchurch Dunedin (n=195) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=2230) (n=173) Zealand (n=603) (n=209) (n=100) (n=537) (n=79)
6%
4%
2% 6% 8%
1% 9%
2%
1%
7% 23% 5% 4%
4%
2% Levels 4 & 3
▼ ▲ 8% 7%
▲
14%
▲
96%
88% ▲ 92% 91% 88% 90% 88% 85% 94%
63%
▼
L4 + 3 total Tauranga (n=84) Hamilton (n=93) Christchurch Dunedin (n=122) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=1120) (n=96) Zealand (n=312) (n=71) (n=65) (n=242) (n=35)
4% 13% 6% 3%
8% 3% ▼ 9% 9% ▲ 8% 21% 6% ▼
▼ 4% 6% 2% 13%▼ 10%
9% ▼ ▲
▼ ▼ 7% 22% ▲
24% ▲
▲
93% 87% 89%
82% ▲ 84% 79% ▲ 72% 80% 84%
▲ 53% ▼
▼
Levels 2 & 1
L2 + 1 total Tauranga (n=432) Hamilton (n=488) Christchurch Dunedin (n=489) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=5689) (n=450) Zealand (n=1374) (n=514) (n=366) (n=1378) (n=198)
QMODE2 How did you make each of the journeys listed below? – travelling to work
Base: all adults 15+ in each region during each time period
Indicates a statistically significant increase against total sample
Indicates a statistically significant decrease against total sampleThe re-opening of universities saw travel for this journey shift in different ways, with
active modes becoming more common in Tauranga and South Island cities
Modes travelling to a place of education
20% 20% 10% 13% 13%
26% 21% 33%
7% Pre-alert
▼ 15% ▲ 10%
21% 29% 11% ▼ Note University not open
▲ 37% 18%
▲ 77%
▲ 76%
67% 68% ▲
58% 51% 37% 47%
▼
Pre-alert Total Auckland (n=211) Wellington (n=95) Tauranga (n=50) Hamilton (n=42) Christchurch (n=54) Dunedin (n=67) Rest of New
(n=689) Zealand (n=170)
20% 12% 13% 14%
▼ 24% 26% 36% 41%
9%
▲ ▲ 11%
20% 32% 5% ▼
▲ 24% ▼ 7%
▼ 10%
▼
78% 72%
58% 66% ▲ ▲
52% 51% 56% 48%
Levels 2 & 1
Level 2 + 1 total Auckland (n=234) Wellington (n=109) Tauranga (n=46) Hamilton (n=57) Christchurch (n=56) Dunedin (n=84) Rest of New
(n=754) Zealand (n=168)
QMODE2 How did you make each of the journeys listed below? – travelling to a place of education
Base: all adults 15+ in each region during each time period
Indicates a statistically significant increase against total sample
Indicates a statistically significant decrease against total sampleThe return to schools has seen an erosion of active modes by private vehicles, but it
should be noted that these two time periods reflect summer and winter terms
Modes taking children to/from school
15% 17% 17% 13% 12% 19% 11% 12%
Pre-alert
83% 80% 82% 83% 86% 80% 88% 85%
Total (n=767) Auckland (n=196) Wellington (n=74) Tauranga (n=77) Hamilton (n=66) Christchurch (n=62) Dunedin (n=60) Rest of New
Zealand (n=232)
11% 12% 11% 7% 11% 15% 12% 9%
4%
5%
86% 85% 84% 89% 84% 83% 85% 90%
Levels 2 & 1
Total (n=1315) Auckland (n=363) Wellington (n=191) Tauranga (n=104) Hamilton (n=87) Christchurch Dunedin (n=118) Rest of New
(n=110) Zealand (n=342)
QMODE2 How did you make each of the journeys listed below? – Taking children to/from school
Base: all adults 15+ in each region during each time period
Indicates a statistically significant increase against total sample
Indicates a statistically significant decrease against total samplePrior to lockdown, active modes were more commonly used for travel to leisure
activities and more leisure-oriented retail trips
Active modes as a share of non-essential journey modes, pre-alert
85%
82%
73%
69%
NETT Active modes
NETT Public transport
NETT Private vehicle
Taxi/ Uber
20% 22%
17% Don’t know
13%
10% 8% 8% 8%
2% 3% 3% 2%
0% 1% 1% 1%
Shopping for non-grocery items Travel for leisure or recreation Travel to visit friends or family Travel to somewhere else e.g.
e.g. clothing, post shop, bank, e.g. restaurant, gym place of worship, library
books
QMODE1A How would you normally make each of the following types of journeys listed below? For each journey, please select the method of transport that makes up the majority of the journey
Base: all adults 15+ in New Zealand interviewed during benchmark waves (n=3,759)Rates of non-essential travel have yet to return to normal, but the use of active
modes for non-essential shopping is back to normal in Tauranga and Christchurch
Modes for non-essential shopping trips
91%
▲ 85%
83% 83% 77% ▲ 86% 79%
▼ 69% ▼ 78%
▼ Pre-alert
36%
28% ▲
▲
12% 20% 20% 19% 14% 19% 22%15% 14%
▼ 5% ▲ ▲ 4% ▼13%
1% 8% 10% 11% 4% 11%
▼ ▼ ▲
▼ 1% 1% 0% 2% 0% 1% 0% 2% 1% 2% 0% 1% 0% 0% 2% 0%
Tauranga (n=400) Hamilton (n=400) Christchurch Dunedin (n=392) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=400) Zealand (n=1328) (n=400) (n=399) (n=1140) (n=184)
76% 71%
▼ 69% 68%
69% 63% ▼ ▼ ▼ 70%
64% ▼ 55%
▼
27%
23% Levels 2 & 1
19% 16%
13% 16% 14%
12% 10% 9% 10%8%
6% 5% 8% 6%
3% 1% 0% 1% 0% 1% 0% 3% 1% 0% 1% 0% 1% 0% 2% 0% 2% 0%
0% 0%
Tauranga (n=999) Hamilton Christchurch Dunedin (n=999) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=1000) (n=1001) Zealand (n=3389) (n=1001) (n=927) (n=2828) (n=460)
QMODE2A How, if at all did you make each of the journeys listed below in the past seven days? - Shopping for non-grocery items e.g. clothing, post shop, bank, books
Base: all adults 15+ in each region during each time period
Indicates a statistically significant increase against total sample
Indicates a statistically significant decrease against total sampleActive modes have always made up a greater share of leisure travel in Dunedin and
central Wellington, two areas where walking has generally been more common
Modes for leisure travel
80%
▲ 75%
▲ 72% 73%
70% 70% 67% Pre-alert
66% 55%
▼
38%
30% ▲
▲
18% 24% 16% 22% 23%12%
20% 21%
▼ ▲ 17%13%
2% 4% 2% 4% ▲ 5% ▲
0% 6% 1% 8% 8% 9% ▲
▼ ▼ 1% 3% 0% ▼ ▼ 1% ▲ 2% 0% 2% 0%
▼ 0% 1% 0% 1% 1%
Tauranga (n=400) Hamilton (n=400) Christchurch Dunedin (n=392) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=400) Zealand (n=1328) (n=400) (n=399) (n=1140) (n=184)
57% 58%
▲ ▲
53% 55% 55%
51% 50% 45% 52%
▼
29%
22% ▲
▲ 14%
12% 18% 16%
15%
▼
15% 8% ▼
6%
10% Levels 2 & 1
▲
6% ▼
2% 1% 2% 2% ▲ ▲ 3% 6%
4% 5% 5% ▲ 1%
▼ 1% 1% 2% 1% 1% 1% ▼ 1% ▼ 1% 1% ▲ 0% 0% 0% 2% 0%
Tauranga (n=999) Hamilton Christchurch Dunedin (n=999) Rest of New Wellington city Other Wellington Auckland city Other Auckland
(n=1000) (n=1001) Zealand (n=3389) (n=1001) (n=927) (n=2828) (n=460)
QMODE2A How, if at all did you make each of the journeys listed below in the past seven days?
Base: all adults 15+ in each region during each time period - Travel for leisure or recreation e.g. restaurant, gym,
Indicates a statistically significant increase against total sample
Indicates a statistically significant decrease against total sampleYou can also read
