Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of...

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Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering [email protected] Assoc. Prof. Kim Hassall Department of Infrastructure Engineering [email protected] IIT Bombay 10 th April 2014

Transcript of Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of...

Page 1: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Urban Freight Networks and Fleet Optimization

Assoc. Prof. Russell G. Thompson

Department of Infrastructure [email protected]

Assoc. Prof. Kim Hassall

Department of Infrastructure [email protected]

IIT Bombay 10th April 2014

Page 2: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Outline

Common Network Structures by commoditiesCommodity Types & VehiclesPerformance Based Standards (PBS) Vehicles

PBS in AustraliaSimulating Benefits

High Performance Freight Vehicles (HPFVs)Dimensions and ConfigurationsBenefits studyFirst & Last Mile Access

References

Page 3: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Common Urban Freight Network Structures

Page 4: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

More Common Urban Freight Network Structures

Page 5: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Commodity Types that influence Vehicle design • DG Tanker, Other

Tanker • Waste• Containers• Agricultural other• Taxi Trucks• Livestock• Reefer• Security• Glass• Horse carriers• Concrete• Mini Skips

• Earth moving construction

• Over dimensional • Car Carrier • Volumetric Parcels• Grain• Steel • Logging• Furniture• Mining

Page 6: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

A). With Adjacent CBD Inner Depot

B). With Outer Suburban Depot

a

a

b

c

c

c

c

b+c

c

cb+c

Inner depot

Outer

Depot

Effects of Logistics Sprawl

Page 7: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Fleet Optimisation

Determining

Vehicle fleet (truck size mix)Freight network structureBlend of internal & outsource transport contracts

Page 8: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Fleet Mix

Common Questions

1. What is the best fleet mix if get a new contract with 20%+ more work than now?

2. What’s the impact of a larger vehicle that has good access potential?

Page 9: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Optimising Freight Networks

Considerations

• Number of Depots• Depot connections• Customer Connections• Vehicle access to Customers• Types of Vehicles and Frequencies • Growth potential etc…

Page 10: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

PBS Impact on Bi Polar Urban Network:

Load Productivity 43%

Interchange

Load Productivity “Milk Runs”= +2 nodes per duty = 28%

C1 C2

Page 11: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Gains using PBS Vehicle

• 8% less km per introduced vehicle per working shift

• When an “appropriate number” are seeded into a large urban environment the outcomes are:

37% increase in productivity19% less rigid truck kms20% less rigid trucks9% cost saving per urban Km

Page 12: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Network Evolution Case Study

Network 1 1998 36 Links

CBD

Page 13: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Network 2 2003 Links 16

CBD

Page 14: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Restructuring Network Issues

• Can perceived critical time windows be relaxed?• Can individual link runs be replaced by sweep or

milk runs?• Can the network be collapsed, or• Is the fleet mix right?

Page 15: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

PBS in Australia

• PBS developed to improve productivity, efficiency & safety

• Innovative vehicle designs promoted• Criteria developed for safety & infrastructure

protection • Current assessment framework

– National vehicle assessment & permits

Page 16: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

PBS Concept

What a vehicle should do...

Instead of what it should be like

Page 17: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Fleet Analysis

• Ancillary and Hire & Reward operators considered

• Vehicles classified into 31 categories• 10 vehicle classes forecasted to have significant

PBS take up

Page 18: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Evaluation Methodology

• Vehicle operating cost savings• Safety• Environmental Benefits• Costs

– Compliance– Administrative– Infrastructure

• Flow on Benefits

Page 19: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

PBS vehicles demand analysis factors

Sector

Hire & RewardAncillary

U rban

Linehaul/R egional

Area

Vehicle Class

Rigid: 2 axle, w /o tra iler, G VM >12t

R igid: 2 axle, w ith tra iler, G VM <42.5t

R igid: 3 axle, w /o tra iler, G VM >18t

R igid: 3 axle, w ith tra iler, G VM <42.5t

R igid: 4 axle, w ith tra iler, G VM >42.5t

Artic.: 4 axle, s ingle 3 axle tra iler, 6 axle rig

Super B -double

B-trip le

A-double

Articulated Buses

Page 20: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

PBS & Freight Networks

• Vehicle usage depends on commodity carried & type of freight network

• 16 case studies simulations to estimate distance & vehicle reductions

• Growth rates by vehicle class for ancillary and hire and reward sector produced

Page 21: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Super B Double 30m

2 x 40’ or 4 x 20’ containers

Page 22: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Urban Port Scenario Simulation Single Articulated Vehicles

Port

Page 23: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Urban Port Scenario SimulationSuper B-Double Vehicles

Port

Page 24: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Simulation Results

To Port Super B-double vs Single Articulated TruckSingle Super B-double Change

Directional Trips 24 12 -50.0%Kilometers 708 530.4 -25.1%Vehicles 4 3 -25.0%On duty hours 26.5 22 -17.0%Ave kms per trip duty 29.5 44.2 49.8%Other DataContainer Mix 60% TEU 40% FEUCustomers 17Time window 8 hour total shift operation

Page 25: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Distance Formula

New KMS = A x Change in Truck Capacity +

B x Change in Truck Numbers +

Constant

= -10% * (Change in Vehicle Capacity)

+ 75% (New Truck Number estimates post PBS)

+ 25% Constant

Example

Mini Skips = -10% * 1.000 + 75%* 0.62 + 0.25 = -0.1 + 0.465 + 0.25 = 0.615

(estimate)

Actual = 0.559 or 56% of pre PBS Network Km

Savings = 1 – (NKms + ∆ (Capacity) + κ)

Page 26: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

New Kilometre Factors with PBS Takeup

55%

65%

75%

85%

95%

Concr

ete

Forest

ry

DC-DC

City 2

030

Steel

Urb

an

Port t

o/from

Skips

Lineh

aul

Was

te

Port I

ntra

Min

eral

San

ds

Courie

r

Furnitu

re

Tanke

r

Shuttl

e Par

cel

Po

st

PB

S K

ilom

etr

e F

ac

tor

Operation

Page 27: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Freight Networks

• Vehicle usage depends on commodity carried & type of freight network

• 16 case studies simulations to estimate distance & vehicle reductions

• Growth rates by vehicle class for ancillary and hire & reward sector produced

Page 28: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Average PBS Savings (%)

Reduction in Kilometres

Reduction inVehicles

Linehaul/Regional

25.2 28.3

Urban 19.1 21.0

Page 29: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Semi Trailer vs B-Double

Semi Trailer: Length 19m, Width 2.5m Height max 4.3mWeight 42.5 tonnes GVM (45.5 Tonnes with MMA)

B-Double: 9 axle configurationLength 25m, Width 2.5m Height max 4.3m

Weight 62.5 tonnes GVM (68 Tonnes with mass management accreditation)

Page 30: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Growth of B-Doubles in Australia

0

2000

4000

6000

8000

10000

Vehic

le Nu

mbe

rs

Total operational B-Doubles

Page 31: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

B-Double Experience

• Have access to 99% arterial road network• Productivity benefits for freight operators & their

customers• Reduced total number of freight trips• Are safer: moving 45% freight task in loaded

tkm, 23.6% large truck crashes

Page 32: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Urban Impacts of PBS Vehicles3000 PBS Vehicles (at 2014)

Forecast > 11,000 by 2030

Majority of these 3000 PBS Vehicles are:

• Operating on Regional Linehaul

• Outer Areas of Major Cities to Regional Cities

PBS Demand & Areas of Operation

Page 33: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

HPFVs: Moving more with less

Access for HPFVs carrying cubic (lightweight) freight up to 68.5 tonnes on high quality duplicated roads

These HPFV are no heavier than a standard B-double

Page 34: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

WHAT AREHPFVs?

26 metre combination

30 metre combination

36.5 metre combination

Page 35: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

HPFVs

• Offers significant potential to further lower costs, improve safety & protect environment by reducing number of truck movements

• Use concentrated on key strategic segments of road network on freeways & major highways

• No increase in truck mass required for ‘cubic HPFVs’ does not require costly upgrades to road pavements & bridges

Page 36: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

-90

Page 37: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Dimensions of HPFV

B Triples: Approx. 33m long, 63t to 90t Axle configuration dependent

Super B-Doubles: Approx. 30m long; 62.5t to 68t Quad axles will be also used

Dimensions of HPFVs

Page 38: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Truck and 4 Axle Dog HPV – Soil, quarry, construction materials

Page 39: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Super B-Double – Quad / Quad Configuration – Port to container parks or large customers

Page 40: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

A Double Bulk Grain HML/HPV – Regional to Urban Container Port

Page 41: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

A Double container HML/PBS

Page 42: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

A Double Bulk Grain HML / PBS – Regional to Urban container port

Page 43: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

A Double container HML/HPV

Page 44: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

A Double container HML/PBS

Page 45: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

B Triple HML/HPV – outer Urban to Regional Centres

Page 46: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Container B-Triple – Container Port to large customers on high capacity roads

Page 47: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Usage of HPFVs

• Primary produce, intermodal containers & for transport of parts & components between major manufacturing establishments

• Suited to certain commodities & uses, on specific routes– Lighter commodities: eg. paper products & empty

shipping containers– fill currently permitted trucks before they reach the

current truck mass limit

Page 48: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Metro Routes

For exclusive operation within metropolitan Melbourne HPFV limit of 30m length

Page 49: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Regional Routes

For operations in regional Victoria, limit of 36.5 metres in length

Page 50: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

MOVINGMORE

WITH LESS

• More efficient vehicles without infrastructure upgrades

• More flexibility for industry in HPFV configuration

• Recognition of country/city conditions

Page 51: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Estimating Benefits of HPFV

Direct Benefits• Safety• Productivity• Environmental

Indirect Benefits• Economic flow on• Freight Exposure• Pavement performance

Page 52: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Data Sources for the Study

Three non public domain data sources used for study:

• Insurance company accident data• HPV fleet operators survey data• Private vehicle operating cost data

| PRESENTATION TITLE | DATE52

Page 53: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

HPV Operators Survey

| PRESENTATION TITLE | DATE53

Commodities Transported by HPV

2%

2%

6%

2%

1%

3%

15%

5%

2%

36%

8%

3%

13%

1%

0% 5% 10% 15% 20% 25% 30% 35% 40%

Other

Containers

Tanker Dangerous Goods'

Tanker Non Dangerous

Waste

Livestock

Agriculture/Grain/Fertilizer

Forrestry/Wood/Poles

Iron Ore/Steel

Quarry Gravel/Sand/soil

Containers

Bldg Material

General Freight

Parcels

Page 54: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

HPV Fleet Operators - Savings in kilometres

| PRESENTATION TITLE | DATE54

PBS Vehicle TypeKM Savings factors

(previous saving estimates)

6AA (20m)Single 0.091

7AA Single 0.207

Ave 6/7AA 0.149

EBD 0.273

SBD 0.365

A-Double 0.315

B-Triple 0.325

Quad Trailer 0.405

Average Articulated Savings 0.375

HR3ATD 0.129

HR4ATD 0.221

HR5ATD 0.264

HR6ATD 0.300

Average Rigid Savings 0.226

Page 55: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

HPV Fleet Outlook to 2030

| PRESENTATION TITLE | DATE55

Vehicle Type Area of Operations Growth ScenarioHR3ATD Urban 312

HR4ATD Urban/Outer Urban 1802

HR5ATD Urban/Regional 666

HR6ATD Urban/Regional/ IS 392

Enhanced BD Regional/ IS 242

6/7AA Urban/Regional Urban/Regional /IS 2555

Quad Trailer Regional 295

Super-BD Urban/Regional 729

B-Triple Outer Urban/Regional/IS 1282

A-Double Outer Urban/Regional/IS 1345

Bus 1 & 2 Urban/Regional 916

Total 10536

Growth Rate p a 13.8%

Page 56: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

HPFVs Total Benefit Estimates to 2030

Benefit Segment($m)

Nominal ($m)

Discounted ($m)

Value of Fatality savings (95 lives)

218 156

Insurance savings 89 63

Value of CO2 savings 200 142

HPV Operating Savings 9,164 6,529

Total Direct Benefits 9,671 6,890HPV Economic Flow-on benefits 7,678 5,692

Total 17,349 12,582

Page 57: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

First and Last Mile Access

VicRoads has developed a three stage process for First and Last Mile assessments of these combinations:

Stage One – Desktop Study

Stage Two – A Swept Path overlay

Stage Three – A physical trial of the combination

Page 58: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

First & Last Mile Access – Stage 1

Page 59: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

First & Last Mile Access – Stage 2

Page 60: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

Local Councils

First and Last Mile Access on Local Council roads require written permission from the Local Council

Vic roads provides assistance if a Stage 3 physical trial is required on a Local Road

Page 61: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

References

Department of Transport, Planning and Local Infrastructure, (2013). Victoria the Freight State, The

Victorian Freight and Logistics Plan, Victorian Government, Melbourne.

Di Christoforo, R., C. Blanksby and A. Germanchev. Performance-based design of an innovative truck-trailer configuration, safer and more efficient distribution of liquid fuel in Australia, Transportation Research Record: Journal of the Transportation Research Board, No. 1966, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 110-117.

Hassall, K. and R.G. Thompson, (2011). Estimating the Benefits of Performance Based Standards

Vehicles, Transportation Research Record, No. 2224, Journal of the Transportation Research Board,

Transportation Research Board of the National Academies, Washington, D.C., 94-101.

NTARC, (2013). Estimating the Benefits of Higher Productivity Vehicles in Australia,

National Truck Accident Research Centre, Brisbane.

NTC (2010). Performance Based Standards Draft Regulatory Impact Statement, 2010, National Transport Commission, Melbourne, 2010.

NTC (2008). Performance Based Standards Scheme, The Standards and Vehicle Assessment Rules, as at 10 November 2008 (incorporating all amendments consented to by the ATC up to that date), National Transport Commission, Melbourne, 2008.

NTC (2007). Performance Based Standards Scheme Network Classification Guidelines, National Transport Commission, Melbourne, 2007.

OECD, (1995). Performance Based Standards for the Road Sector, OECD Report, OECD Paris. http://www.oecd.org/document/44/0,2340,en_2649_37433_35693996_1_1_1_37433,00.html

VicRoads, (2013). Moving More with less, Kew.

Page 62: Urban Freight Networks and Fleet Optimization Assoc. Prof. Russell G. Thompson Department of Infrastructure Engineering rgthom@unimelb.edu.au Assoc. Prof.

© Copyright The University of Melbourne 2011