Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
Canberra
                                               17 September 2015

Photo courtesy and copyright: Website source

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
Case Study on
       Singapore’s Land Transport Master Plan
                           17 September 2015

Looi Teik Soon
Dean, LTA Academy
Land Transport Authority

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
At a glance
•   How do we fare?
•   How do we plan?
•   What’s in the Land Transport Master Plan?
•   What’s next?

                  Centre for Liveable Cities (CLC)
             A Framework for Preparing and Developing
                                        a Liveable City

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
How do we fare?
  We have come a long way in a
relatively short period of 50 years

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
A compact city-state.
                                    Population: 5.5 million
          25 km                     Land area: 718 sq km
49 km                               Roads: 12%

              15%
                    12%
                          Housing
        73%
                          Roads
                          Others

                                    Photo courtesy and copyright: URA, Singapore

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
We transformed from this …
                                                    • Traffic congestion
                                                    • Rising travel demand
                                                    • Unreliable bus services

Photo courtesy and copyright: Hansen Report ,1980

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
… to a modern metropolis
 • Efficient and sustainable urban transport system

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
We put public transport at the core
 • More choices, affordable and viable public transport

                       1 million        2.9 million 3.8million
                       Daily Taxi trips Daily Rail trips Daily Bus trips

Total public transport trips – 7.7 million
Average daily travel figures for the year 2014

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
We rely on bus and rapid transit system

   • Comprehensive coverage                    Backbone of public transport
   • 3 operators - SMRT Buses, SBS Transit,    2 operators - SMRT Trains & SBS
     Tower Transit*                             Transit
   • > 357 services, > 4,552 buses             182 km of MRT & LRT Lines
   • Fares and services are regulated          Fares and services are regulated
   • Transition to government contracting      Competitive tendering for operating
     model (GCM)                                licences

* Revenue service in early 2016

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Canberra 17 September 2015 - Bureau of Infrastructure, Transport and ...
Bus and rail are comparatively well used
                                     Bus                                                                                                       1.0
                                                                                                                                                           Rail
                        0.9                                                         y = 0.0006x - 0.0508                                                                                                         Tokyo
                                                                                         R² = 0.7048                                                                                   Vienna
                                                                                                                                               0.9
                        0.8                                                                                                                                                                               y = 0.8108x + 0.2647
                                                                                     Warsaw                                                                                                                    R² = 0.3819
                                                                                    London                                                     0.8
                        0.7                                                             Beijing

                                                                                                                  Daily rail ridership per person
                                                                                Singapore              Taipei                                  0.7
Daily Bus ridership per person

                                                                                            Guangzhou                                                                    HongKong                                         Seoul
                        0.6
                                                                                                                                                                                                    Taipei
                                                                       HongKong                                                                0.6
                                                                                                                                                                                                                          New York
                        0.5
                                                                     Seoul                                                                     0.5                           Singapore
                                                                                                                                                                                                                          Madrid
                                                                                                                                                         Stockholm          London
                        0.4
                                                                                        Stockholm                                              0.4         Guangzhou
                                                                     Madrid                                                                                                   Berlin
                                                                       Shanghai                                                                                                         Barcelona
                        0.3                           Berlin
                                                                                                                                               0.3                            Beijing
                                                               Chicago
                                                                                                                                                         Washington DC    Shanghai
                        0.2                  Vienna            New York
                                                                                                                                               0.2           Warsaw
                                                                                                                                                           Sydney           Chicago
                                                  Barcelona
                                                         Sydney                                                                                           Melbourne
                        0.1          Tokyo           Melbourne                                                                                 0.1
                                                       Washington DC

                        0.0                                                                                                                    0.0
                                 0     200        400          600        800       1,000      1,200      1,400                                      0          0.1         0.2          0.3        0.4             0.5            0.6

                                                      Bus fleets per million person                                                                                       Number of stations per km2

             Source: The Journeys, LTA, 2013

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High mode share and low private cars
                     100%                                                                                                                                    60
                                                                                                                                                                                                                                                      Sydney
                                                                                                                                                                                Warsaw                            y = 0.0004x + 14.072
                                          90%                  HongKong                                                                                                                                                                            Melbourne
                                                                                                                                                                                                                       R² = 0.1797
                                                                                               y = -0.0079x + 0.7566
Public transport mode share of motorised trips

                                                                                                    R² = 0.5312                                              50
                                          80%                              Tokyo

                                                                                                                                        Private cars per 100 persons
                                          70%                                    Seoul
                                                                                                                                                                                                      Madrid
                                                          Singapore                                                                                          40                                                                         Stockholm
                                                                  Shanghai                           Barcelona                                                                                                                 Vienna
                                          60%                       Guangzhou                                                                                                                         Barcelona
                                                                       Beijing                                Madrid
                                                                                                                                                                                                                     Berlin
                                                                                                          Vienna                                                                                           London
                                          50%                                                                                                                30
                                                                                 Taipei                                      Warsaw
                                                                                                Berlin
                                                                                 New York
                                          40%                                               London
                                                                                                         Stockholm                                                                           Taipei                              New York
                                                                                                                                                             20                           Seoul
                                          30%                                                                                                                                                                                 Tokyo
                                                                                                                            Melbourne
                                                                                                                                                                                Beijing
                                          20%
                                                                                                                              Sydney                         10                   Guangzhou
                                                                                                                                                                                                                                      Singapore

                                          10%                                                                                                                                                                  HongKong
                                                                                                                                                                                Shanghai

                                                 0%                                                                                                                    0
                                                      0         10        20              30             40            50          60                                  10,000       20,000       30,000        40,000     50,000           60,000         70,000

                                                                       Private cars per 100 persons
                                                                                                                                                                                                           GDP per capita (US$)
                         Source: The Journeys, LTA, 2013

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But, we do have challenges

    Growing                    Competing          Changing       Profits vs
    Population                 Demands            Commuter       Performance
    and Economy                for Limited        Expectations   of PTOs
                               Land               and Norms
    Population                                                   Restructuring
    White Paper:               12% of land        Commuter-      the Public
    6.0mil by                  for roads vs       centric and    Transport
    2020, 6.9mil               14% of land        inclusive      Industry
    by 2030*                   for housing        transport
                                                  system

*parameters adopted for infrastructure planning

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How do we plan?
Integrating planning and development
      has been our key strategy

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An integrated hub-and-spoke network
HDB Towns   Transport Hub                          City

                            • Feeder/MRT journeys
                            • Long-haul journeys in corridors
  Town A                     not yet well served by MRT
                            • Serve local needs or short
                             journeys

  Town C

                            • Make transfers seamless and
                             take care of first-mile last-mile

  Town B

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Our master planning is holistic
      Concept Plan                                              Land Use Plan Beyond 2030

                                  1972

                                             Concept Plan1991

Map courtesy and copyright: URA, Singapore

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We take a strategic long term view
                     Planning Process
Long Term                                        Long term plans
                          Concept Plan
RTS/bus and RMP                                  30-40 years

                                                 Medium term plans
Medium Term RTS            Master Plan           10-15 years
and Road Plans

                       Planning Feasibility
                                                 Near term plans
                             Studies             5-10 years

                  5 Year Road        Rail Lines and
                  Development        Bus Network
                  Programme

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Why long range transport planning?
 • Value capture - promote high
   density, transit oriented
   developments                   Integration of transport and towns
    • Optimise land-take
    • Maximise value capture
    • Enhance system viability

 • Shape travel needs and car
   dependency

 • Safeguard future transport
   corridors

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Some examples of integrated
 developments…
 •   A mix of uses
 •   High density
 •   Good connectivity
 •   Transportation choices
 •   High quality design

                              PUNGGOL LRT SYSTEM ROUTE

          Sengkang
           Station

Sengkang Town

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Dhoby Ghaut Interchange

                Info-graphics courtesy and copyright: The Straits Times, Singapore

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What’s in the
Land Transport Master Plan 2013?
A flavour of the road-map is presented here

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A people-centred land transport system
                               More
                            Connections

                            Enhancing
                            Your Travel
                 Better     Experience    Liveable and
                                            Inclusive
                 Service
                                          Community

                Reduce reliance on private transport

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LTMP key targets by 2030

        75%                             8 in 10
        Of all journeys in peak      HOUSEHOLDS
        hours undertaken on
        public transport

       85%
More Connections
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A denser rail network with greater
 coverage and resilience
                    Jurong                Thomson Cross
                    Region                Line    Island
                                                              North East Line
                    Line                          Line
                                                              Extension
                                                                Downtown
Tuas West                                                       Line
Extension

                                                                       Downtown Line
                                                                       Extension
                                                             Eastern Region Line
                               Downtown             North-South Line
                               Line                 Extension
Today                2030                       Circle Line Stage 6

6 Rail Lines with    11 Rail Lines with                                Blue: Opening by 2022
15 interchanges      40* interchanges                                  Red: Opening by 2030
*Indicative

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More choices, more connecting bus services

 LTA as the                   More City Direct
 central bus planner          Services

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Promote active mobility
• National Cycling Plan
• Cycling Infrastructure                  Walk2Ride

                                            200km
• Bike Sharing

                                            Additional covered
                                            link-ways by 2018

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Better Service
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Ramp up train services
    • More trains mean shorter waiting times and less
      crowding for commuters

             *

                                                      Punggol LRT     NSL
                                                       West Loop    Extension
                                                        Opening      Opening
                                                        2H2014      End-2014

*First 2 trains in service; last train in by 3Q2014

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We want to ramp up bus services quickly to:
  Increase connectivity          Reduce crowding            Increase reliability

 Bus Service Enhancement Programme
 (BSEP)
 • Additional 1000 buses by 2017 to relieve
 crowding and reduce waiting time
 • 80 new bus services to improve connectivity
 • Contracting private operators to provide City   Quality Incentive Framework
 Direct Services and Peak Period Short Services    Incentivize operators based on
 to further augment service levels                 regularity of en-route arrival
                                                   times at bus stops.

                          Bus Priority Schemes
                          Give buses more priority on roads with dedicated bus
                          lanes and mandatory give-way to buses schemes

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Transition to GCM
Gradual transition to ensure stability for the industry and workers
 All bus routes grouped into 12 packages
    Area-based, centered around depots
    About 300-500 buses for each package
 Three packages to be tendered out (20% of existing buses)
    5-year contracts, option for 2-year extension
 Remaining 9 packages to be operated by incumbents (80% of
  existing buses)
                                                       Loyang Package
    Negotiated contracts for
       5 years or more

                                  Bulim Package

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Promote a smarter way to travel
Smoothen travel demand around peak hours

   Off-peak travel incentives for commuters

   Free               $0.50             Win
travel if you exit
                     discount if you
  at designated
 stations before
                        exit from      prizes
                      7.45 to 8am      with your points
     7.45am

           Engagement of key employers
            Public sector taking the lead

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Provide timely and reliable info

                                     Live traffic on social   Bus and trains arrival
       Smartphone traffic apps
                                             media             information system

Real-time info on the move         Comprehensive and            Reliable, relevant and
  – anytime, anywhere            Integrated transport Info           intuitive info
Liveable & Inclusive Community

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Make public transport even more inclusive
 •   Barrier-free at all MRT stations and bus interchanges
 •   Lifts at pedestrian overhead bridges
 •   All buses to be wheelchair-accessible
 •   More wheelchair-accessible taxis

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… and more inclusive streets
 Expand Green Man + Scheme

                             More silver zones

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Reducing Reliance on Private Transport

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Rely less on private transport

     Change overall narrative from “I want a car”
         to “Why would I even want a car”

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Ownership restraint: Vehicle quota system
• New vehicle registration is controlled, while the market
  determines the price of owning a vehicle
• Open on-line bidding for Certificate of Entitlement (COE)
                                            Price vs Quota

           Vehicle growth rate

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Usage restraint: Electronic Road Pricing (ERP)
                  • Both cordon-based and point-based
                  • Equitable - motorists pay for
                    congestion costs imposed on others
                    or choose to travel at different time,
                    route or use public transport
                  • ERP rates - determine based on local
                    traffic conditions, vehicle types,
                    location and time of the day

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More flexible spatial and temporal pricing
• ERP rates reviewed every 3 months
• 85% of motorists assured of smooth
  travel within the optimal speed ranges

Expressways                           45 km/h             65 km/h
                           Increase rate    Optimal Speed Range   Decrease rate

Increase rate   Optimal Speed Range    Decrease rate

        20 km/h               30 km/h                  Other Roads

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How are speed ranges determined?
• Rates are adjusted to keep traffic within
  optimal Level of Service (LOS)

                                                Unstable
                                                 Zone

                                     Max flow

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Effectiveness is self-evident
Index

                                          Car Growth

                                                     Vehicle
                       Start of ERP                  Growth

                                                 Population
        Start of ALS                             Growth

                                               Road
                                               Growth

                                      CBD Traffic (Am peak)

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Next generation ERP
 Today: Point Charging                      ERP2: Distance Charging

                                                         GNSS technology

Benefits of ERP2:
•More cost-efficient: Removes the need to build more gantries
•Fairer: Charges motorists according to the congestion they cause
•Value-added services: e.g. coupon-less roadside parking
Expected timeline for implementation – around 2019/2020

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What’s next?
A glimpse into what we are working on

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Towards Future Mobility

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Our ITS vision…

           “Moving towards a more connected and
             interactive land transport community”

                                                          Copyright © 2015 LTA   © All Rights Reserved. 46
Info-graphics courtesy and copyright: LTA and ITS, 2014    All rights reserved
Reality of Autonomous Vehicles (AV) is here

         Robosoft                                       Google          Catapult, UK    Mercedes

                            BMW                                  Audi                  Volvo

Photo courtesy and copyright: Various website sources

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AV possibilities for land transport system
                                                                                             AV Mobility-On-Demand
                                       AV automated driving                                  for point-to-point travels using
                                       whereby applications can                              a network of demand
                                       enhance traffic management                            responsive shared vehicles

                                       AV automated driving
                                                                                    AV Mobility-on-Demand
                                                                                  for “Car-lite” oriented town

   Autonomous bus for a
   mass transport service that                                                                      “Platooning” of AVs and
   operates on fixed routes and                                                                       autonomous freight
   scheduled timings. This can
   alleviate Singapore’s heavy
   reliance on manpower.                              Autonomous bus
                                                                                                       AV Freight for
                                                      Autonomous utility                               movement of goods on
                      AV utility                      rubbish trucks, road                             expressways during
                                                      sweepers for effective                           night time. This can
                                                      navigation and operation                         alleviate traffic
                                                      during off-peak hours                            congestion during day
                                                      (e.g. navigating close to                        time and maximise road
                                                      road kerbs for cleaning)                         capacity

Photo credit and copyright: Various website sources
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INNOVATING TRANSPORT FOR LIVEABLE CITIES

                                       MARK YOUR CALENDAR

                                  19-21 October 2016
                                           www.sitce.org

                                      SEE YOU IN SINGAPORE!

                                                           © All Rights Reserved.
A great city to call home

                                               Thank You
Photo courtesy and copyright: URA, Singapore

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