This document discusses smart transport solutions for smart cities. It begins by introducing the authors and their consulting firm, which has over 20 years of experience in transport projects. The document then critiques traditional approaches to public transport planning, which focus on infrastructure but overlook the passenger experience. It argues for a new approach called Personal Rapid Transit (PRT), which would provide direct, non-stop point-to-point travel in individual automated vehicles on an elevated guided network. This would offer passengers a more convenient and reliable experience without the need to transfer or interact with strangers. The document also discusses how PRT aligns with the needs of transport operators and cities by being affordable and easy to implement while reducing congestion.
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ShanghaiSmartCities2014 141016
1. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 1
Wilkie Lam BSc, MSc, CEng, MICE, MHKIE, CMILT
Managing Director, LLA Consultancy Ltd, wilkie@lla.com.hk
Dr. Thomas Huang BSc, MSc
General Manager, LLA (Shanghai) Consultancy Ltd,
thomas.huang@llashanghai.com.cn
Richard Di Bona BA(Hons), MSc, MBA, CMILT, MCIHT
Director, LLA Consultancy Ltd, richard@lla.com.hk
2014 Smart City Expo & Congress
Shanghai, China, 16-18 October 2014
Smart Transport
for
Smart Cities
2. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 2
Introduction
?Hong Kong practice established in 1996
?China practice (ÀïÀïͨ) established in 2002
?Over 1000 transport-related projects for various clients including
the SAR Government, quasi-government organisations, major
property developers, contractors, etc.
?ISO 9001:2008 certified.
3. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 3
20 Years¡¯ International Experience
?Our Projects
4. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 4
Partners
?Clients
?Real Estate
?Architect
5. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 5
Latest Technologies and Trends
6. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 6
New Highlights of Smart Transport
Electronic Car Plate Electronic Road Pricing
System
Smart Reversible Lanes Smart Crosswalk Smart GPS
Warning System of
Traffic Safety
7. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 7
Smart Parking System
Searching, Booking
Smart GPS
Identifying , Entering
Parking
Remote Payment
Smart GPS
Before Parking
Parking
Leaving
Indoor Positioning System
Indoor Positioning
System
8. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 8
Micro Simulation
?Plan Testing
Before Construction During Construction
?Pedestrian Simulation of Retail
Retail Distribution Pedestrian Distribution
9. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 9
Problems with Current
Transport Planning
Approaches
10. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 10
Challenges: The Motor Car
? From 1960-2002: real income growth 2.0% p.a.
cars per capita growth 4.6% p.a.
(Dargay, J., Gately, D. & Sommer, M. Vehicle Ownership and Income Growth, Worldwide: 1960-2030, Energy Journal, 2007, Vol. 28, No. 4)
? Compound growth: 130% income; 560% cars per capita
? Then add to this population growth
? Despite massive investments in public transport
? CapEx & OpEx
11. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 11
12. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 12
A Need to Critique Standard Practice
Standard practice has NOT solved traffic congestion
? Let alone delivered ¡°smart solutions for smart cities¡±
New thinking and new approaches are necessary
13. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 13
Functional Road Hierarchy
Trunk Routes:
? Higher speed & capacity
? For longer distances
? Higher Speeds
Distributors:
? Between trunk & local roads
Local Roads:
? Low speeds
? In/around neighbourhoods
14. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 14
Traditional Public Transport Hierarchy
Heavy Rail:
? Commuter Rail
? Metro
Intermediate:
? LRT or Monorail
? Bus Rapid Transit
Local:
? Bus
? Minibus
15. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 15
Issues with Public Transport Hierarchy
For driving, a Functional Road Hierarchy makes sense:
? It is quite easy to drive from one road to another
(congestion permitting) ¨C no need to change vehicle
But on Public Transport, passengers must physically
interchange between services:
? Time consuming
? Inconvenient
? Adds uncertainty to journey time
? Passengers may not have a seat on the next leg
? There may be substantial distances to walk/ roads to cross
16. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 16
Issues with Interchange
17. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 17
Why Buses Can Be Good (or Not)
? With good bus networks, travellers sometimes prefer bus:
? Point-to-point journeys possible; no need to interchange
? However, buses get caught up in congestion
? So journey times less reliable
18. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 18
Is Bus Priority (or BRT) the Answer?
? Takes capacity away from other road users
? Can intensify congestion and emissions
? So might lead to more scarce land being used to reinstate
road capacity
? But the costs of
this seldom
considered
19. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 19
How Do Cities Plan Public Transport?
? Due to the scale of investment and works required
for mass transit, a strategic view is usually taken
? This approach is infrastructure-focussed
? Aligns with how infrastructure engineers think
? But for the passenger/ customer, the experience
can be quite different
? Many hassles faced by passengers are overlooked in the
strategic planning of infrastructure
20. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 20
Origin
Destination
Public Transport Trip: Strategic View
21. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 21
Origin
Destination
Journey Broken Down into Stages
Which is the weakest link?
Uncertainty at every stage.
Compound uncertainty worse.
Do not overlook any stage!
22. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 22
Walking is Not Always Easy!
What about:
? The elderly?
? Disabled?
? With young
children?
? Heavy
shopping
bags?
? In bad
weather?
23. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 23
Waiting
? Uncertainty: increases with interchange
? Comfort, safety, security of facilities ¨C and bad weather?
24. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 24
Onboard: Comfort, Crowding, etc
? Crowding
? Comfort: getting a seat?
Temperature
? Security
news.bbc.co.uk
www.straitstimes.com news.com.au
25. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 25
Feeders ¨C Journey Time Reliability
www.unblockcambridge.com
author¡¯s photo author¡¯s photo
author¡¯s photo
26. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 26
A New Way Forward:
Personal Rapid Transit
27. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 27
What is Personal Rapid Transit (PRT)?
? Automated guideway transit
system
? Vehicles for an individual or small
group (family or friends)
travelling together
? On a segregated network
? Trips are non-stop without
transfers
? All stations are on bypasses
? No interference with mainline
traffic
28. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 28
What does Personal Rapid Transit Offer?
? No travelling with strangers: Sense of security
? Stations can be spaced far more closely than metro
? Point-to-point journeys:
? No transfers between lines needed
? Mass customisation
? Likely quicker journeys for passengers:
? No intermediate stopping
? Service available on demand, minimal wait
29. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 29
Smart Transport for Smart Cities
What would the key features be for
¡°Smart Transport for Smart Cities¡±?
Three perspectives:
? The passenger perspective: the customer
? The operator (developer) perspective
? The city¡¯s perspective: government, social,
environmental
30. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 30
Smart City Transport: Passenger Perspectives
? Accessible, especially for those with children, luggage, the
mobility impaired, etc; with minimal road crossings
? Provide reliable information on journey times
? Comfortable, convenient, safe, secure, affordable
? Like car without the hassle of parking or congestion
? Like taxi without the hassle of finding one
? Public transport without crowding, strangers, interchange
or inconvenient service schedules
? Personalised: ¡°mass customisation¡±
31. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 31
Smart City Transport: Operator Perspective
? Reliable and robust systems: good automation
? Easy to manage:
? Reduced reliance of factors beyond immediate control
(e.g. issue metro operators face with bus feeders)
? Affordable and quick to build
? Cheap to operate
? Offers adequate capacity and flexibility to add or alter
routes (a current advantage of bus over rail)
? Ideally, profitable to implement and operate
32. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 32
Smart City Transport: City Perspective
? Affordable for cities:
? Minimise CapEx requirements
? Reduce or eliminate OpEx subsidies (ideally profitable?)
? Easy to implement
? Modest space-take; minimal take of ground level space
? Able to fit/ retrofit into small areas
? Quick to implement
? System attractive to users:
? Makes investment worthwhile
? Can have a real impact on traffic congestion
? And so can help ¡°green¡± the city
33. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 33
LLA¡¯s Experience with Personal Rapid Transit
? LLA has been following Personal Rapid Transit (PRT) for
more than 10 years
? We have reviewed a number of systems
? Some are better than others
? A critical difference is between heavy, supported PRT¡¯s
and lightweight suspended PRT¡¯s
Heavy, Supported PRT Lightweight, Suspended PRT
34. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 34
Issues with Heavy Supported PRT Systems
? Maximum gradient (of best-in-class) = 10%. So either:
? Wholly elevated: expensive; accessibility issues for stations;
? At street-level: substantial land-take and interference with
pedestrians and street traffic; or,
? Elevated track with very long ramps for street-level stations
? Systems become more expensive and visually intrusive
? Harder to fit/ retrofit into urban environments
? Fewer stations possible per km of track
35. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 35
The Need for a Light, Suspended PRT Solution
LLA prefers lightweight, suspended PRT:
? Maximum ramp gradient = 45 degrees. Turning radius = 3m
? Main track 5-15m above ground, with street-level stops:
? Minimises ground level space-take
? Allows good accessibility for mobility impaired
? Does not interfere with road traffic or pedestrians
? Can easily be fitted/ retrofitted into urban spaces
? Modular track design enables rapid construction
? Can have stations 200m apart; and on either side of road
36. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 37
? Capacity for five people, or two with bicycles, those with
shopping bags, pushchairs, wheelchairs (level boarding)
? Cornering: swivel suspension means that no super-elevation
(cost) of track is required. Journeys are comfortable
? Offers real-time journey information
? Reliable journey times
Aboard the PRT
37. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 39
? Due to cost of traditional LRT, monorail, metro systems,
often there are relatively few lines
? But a grid of lightweight, suspended PRT tracks is possible:
? Spreads demand across the network
? Increased boarding/ alighting capacity per unit area
? Decreases walk-in distances
? 500m grid results in most destinations under 200m from a stop
? More point-to-point journeys: improved market penetration
? Property development benefits would be more
widespread, covering larger areas of a city than possible
with metro stations 1-2km apart
Developing an Urban Grid
38. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 40
Metro: Stations Spaced at 2000m
Within 50m
Within 200m
Within 300m
Within 500m2km x 2km area:
39. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 41
Metro: Stations Spaced at 1000m
Within 50m
Within 200m
Within 300m
Within 500m2km x 2km area:
40. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 42
One Line of PRT
Within 50m
Within 200m
Within 300m
Within 500m2km x 2km area:
41. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 43
PRT with 1000-metre grid
Within 50m
Within 200m
Within 300m
Within 500m2km x 2km area:
42. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 44
PRT with 500-metre grid
Within 50m
Within 200m
Within 300m
Within 500m2km x 2km area:
43. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 45
Comparison of Area Coverage
% of Area within
Station Catchment
Area
Metro
Spaced at
2000m
Metro
Spaced at
1000m
PRT:
One
Line
PRT:
1000m
Grid
PRT:
500m
Grid
Within 50m 0.3% 0.5% 2% 6% 10%
Within 200m 4% 7% 19% 61% 96%
Within 300m 9% 16% 31% 82% 100%
Within 500m 25% 44% 54% 100% 100%
Beyond 500m 75% 56% 46% 0% 0%
Track km (Two-way) 2km 2km 2km 8km 16km
Likely Capital Cost ?2,000m ?2,000m <?100m <?400m <?750m
Grids of PRT offer Smart Cities an effective, efficient and
Smart transport system
44. Lam, Huang, Di BonaSmart Transport for Smart Cities
2014 Smart City China Expo & Conference, Shanghai, China, 16-18 October, 2014 46
Take Advantage of the Cost Difference
Capital Costs
(RMBm/km)
Capacity
(passengers/ hour/direction)
Capacity
per RMBm
System Range Say (A) Range Say (B) (B) ¡Â (A)
Heavy Metro ?320-1600m ?960m 30-90,000 60,000 63
Light Metro ?240-560m ?400m 10-40,000 25,000 63
LRT ?80-560m ?320m 5-40,000 23,000 72
Tram ?40-200m ?120m 2.5-20,000 11,000 92
Monorail ?210-610m ?410m 1-15,000 8,000 20
PRT ?30¨C60m ?45m 8,250 8,250 183
Note: Cheaper LRTs &Trams are street-level systems (interfering with traffic)
? PRT has a tremendous capital cost advantage over alternatives
? Offers tremendous cost effectiveness, relative to alternatives