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Assessing the social costs of urban transport infrastructure options in low and middle income countries

Assessing the social costs of urban transport infrastructure options in low and middle income countries
Assessing the social costs of urban transport infrastructure options in low and middle income countries
This paper develops cost models for urban transport infrastructure options in situations where motorcycles and various forms of taxis are important modes of transport. The total social costs (TSCs) of conventional bus, Bus Rapid Transit (BRT), Monorail, Metro (Elevated Rail), car, motorcycle, Taxi and Uber are calculated for an urban corridor covering operator, user and external costs. Based on the parameters for a 7 km corridor in Hanoi, Vietnam, the results show the lowest average social cost (ASC) transport modes for different ranges of demand. Motorcycle might be the best option at low demand levels while conventional bus has advantages with low-medium demand. At medium demand levels, bus-based technologies and Monorail are competitive options while Metro, with a higher person capacity, is the best alternative at the highest demand levels. Compared to other modes, the ASCs of car and Taxi/Uber are greater because of high capital cost (related to vehicles) per passenger and low occupancy. Transport planners and decision makers in low and middle income countries (LMICs) can draw on the findings of this study. However, a few limitations are identified and additional research suggested.
social cost model, private transpor, public transport, demand responsive transit
1029-0354
365-384
Vu, Minh Tam
0fa20579-5dba-4048-810d-3ea6f70aac21
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Vu, Minh Tam
0fa20579-5dba-4048-810d-3ea6f70aac21
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b

Vu, Minh Tam and Preston, Jonathan (2020) Assessing the social costs of urban transport infrastructure options in low and middle income countries. Transportation Planning and Technology, 43 (4), 365-384. (doi:10.1080/03081060.2020.1747202).

Record type: Article

Abstract

This paper develops cost models for urban transport infrastructure options in situations where motorcycles and various forms of taxis are important modes of transport. The total social costs (TSCs) of conventional bus, Bus Rapid Transit (BRT), Monorail, Metro (Elevated Rail), car, motorcycle, Taxi and Uber are calculated for an urban corridor covering operator, user and external costs. Based on the parameters for a 7 km corridor in Hanoi, Vietnam, the results show the lowest average social cost (ASC) transport modes for different ranges of demand. Motorcycle might be the best option at low demand levels while conventional bus has advantages with low-medium demand. At medium demand levels, bus-based technologies and Monorail are competitive options while Metro, with a higher person capacity, is the best alternative at the highest demand levels. Compared to other modes, the ASCs of car and Taxi/Uber are greater because of high capital cost (related to vehicles) per passenger and low occupancy. Transport planners and decision makers in low and middle income countries (LMICs) can draw on the findings of this study. However, a few limitations are identified and additional research suggested.

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Assessing the social costs of urban transport infrastructure options in low and middle income countries - Accepted Manuscript
Restricted to Repository staff only until 26 September 2021.
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More information

Accepted/In Press date: 5 March 2020
e-pub ahead of print date: 27 March 2020
Published date: 2020
Additional Information: Universities’ Transport Study Group UK Annual Conference 2019 Special Issue
Keywords: social cost model, private transpor, public transport, demand responsive transit

Identifiers

Local EPrints ID: 439693
URI: http://eprints.soton.ac.uk/id/eprint/439693
ISSN: 1029-0354
PURE UUID: 2c26aa29-c268-4969-b22e-601c2009df6c
ORCID for Jonathan Preston: ORCID iD orcid.org/0000-0002-6866-049X

Catalogue record

Date deposited: 29 Apr 2020 16:35
Last modified: 07 Oct 2020 01:52

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