Assessing the wider economy impacts of transport infrastructure investment with an illustrative application to the North-West Rail Link project in Sydney, Australia

Hensher, David A.; Truong, Truong P.; Mulley, Corinne; Ellison, Richard

doi:10.1016/j.jtrangeo.2012.03.009

Cited by 63 publications

(39 citation statements)

References 7 publications

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“…It seems fair to state that the dominant focus in this literature has been on the analysis of the generative economic effects of infrastructure developments, e.g. estimating employment growth after the creation of a railway link as in Hensher et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Exploring causality in trade and air passenger travel relationships: the case of Asia-Pacific, 1980–2010

Vijver¹,

Derudder²,

Witlox³

2014

Journal of Transport Geography

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Section: Introductionmentioning

confidence: 99%

Exploring causality in trade and air passenger travel relationships: the case of Asia-Pacific, 1980–2010

Vijver¹,

Derudder²,

Witlox³

2014

Journal of Transport Geography

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“…Instead direct integration of the accessibility function is needed -a function that needs to capture how the attractiveness of locations alters with changes in land uses (Neuberger, 1971;Martinez and Araya, 2000;Simmonds, 2004;Bates, 2006). Applications of such approaches include Geurs et al, (2006;, Hensher et al (2012) and Simmonds et al (2012).…”

Section: <Insert Figure 1 Around Here>mentioning

confidence: 99%

Transformational transport infrastructure: cost-benefit analysis challenges

Laird

Nash

Mackie

2014

Town Planning Review

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Institute for Transport Studies 38-40 University Rd University of Leeds Leeds LS2 9JT Research interests:James Laird (J.J. Laird@its.leeds.ac.uk): cost benefit analysis; value of travel time savings; rural transport appraisal; wider economic benefits; and demand forecasting.Chris Nash (C.A.Nash@its.leeds.ac.uk): rail transport; transport appraisal; transport pricing and externalities.Peter Mackie (P.J.Mackie@its.leeds.ac.uk): cost benefit analysis; transport appraisal, value of travel time savings; wider economic benefits; and bus regulation ii TRANSFORMATIONAL TRANSPORT INFRASTRUCTURE:COST BENEFIT ANALYSIS CHALLENGES ABSTRACT Current economic conditions are dominated by the imperative for growth, so the planning context to transport infrastructure is increasingly one of supporting economic growth. This change creates challenges for the appraisal of transport projects particularly transformational ones. In this paper, the technique of transport cost-benefit analysis (CBA)is reviewed with particular emphasis on incorporating the wider economy impacts. CBA is a robust framework, but when dealing with truly transformational projects where land uses change, CBA methods need to develop. Further empirical evidence on the scale of economic change induced by the change in accessibility is also needed.

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“…30 In this experiment, we investigate the impacts of a transport infrastructure investment project (known as the North West Rail project, a 23 km new rail investment (see Hensher et al 2012 for details)) in the Sydney 30 For more details on this experiment, see Truong and Hensher (2012) and Hensher et al (2012).…”

Section: An Illustrative Experimentsmentioning

confidence: 99%

“…The income levels of workers are assumed to be linked simply to their wage levels and here the only effects on wage level are from 'agglomeration (or dis-agglomeration) effects'. For a detailed description of these effects, as well as other parts of the spatial general equilibrium model, see Hensher et al (2012). 24 A variable without a subscript is used to refer to the aggregate level (i.e.…”

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Linking discrete choice to continuous demand in a spatial computable general equilibrium model

Truong

Hensher

2014

Journal of Choice Modelling

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Discrete choice (DC) models are often used to describe consumer behaviour at a disaggregate level. At this level, a choice decision is defined in terms of a set of alternatives representing different 'varieties' of a particular product differentiated mainly by their quality attributes rather than just prices. Individuals making these choice decisions are also differentiated by their socioeconomic characteristics rather than just income level. DC models therefore are rich in details which are relevant for policies at a microeconomic and intra-sectoral level. In contrast, continuous demand (CD) models are specialized in describing aggregate behaviour at an intersectoral level. DC and CD models are therefore complements rather than substitutes and increasingly, there is a need to combine the use of both types of models to look at activities at a microeconomic and intra-sectoral level but at the same time measuring the impacts of these activities at a macroeconomic and economy-wide level. Using both of these types of models within a single framework (such as that of a spatial general equilibrium model) requires solutions to some theoretical and empirical issues because the two types of models are based on different theoretical approaches and also use different types of data. This paper looks at these issues and presents a way of overcoming the differences and combines the specializations of both types of models in a coherent and consistent manner. The paper also presents an empirical study to illustrate the usefulness of the methodology suggested.

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Assessing the wider economy impacts of transport infrastructure investment with an illustrative application to the North-West Rail Link project in Sydney, Australia

Abstract: Assessing the wider economy impacts of transport infrastructure investment with an illustrative application to the northwest rail link project in Sydney, Australia.

Cited by 63 publications

References 7 publications

Exploring causality in trade and air passenger travel relationships: the case of Asia-Pacific, 1980–2010

Exploring causality in trade and air passenger travel relationships: the case of Asia-Pacific, 1980–2010

Transformational transport infrastructure: cost-benefit analysis challenges

Linking discrete choice to continuous demand in a spatial computable general equilibrium model

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