Abstract

Although urban rain transit (URT) is an attractive alternative mode of daily travel, barriers exist in URT development across the world, in particular, the high cost of construction and operation and relative low rates of URT ridership. Despite these barriers, URT has gained considerable popularity worldwide in recent years; much of this trend is driven by projects in China. Despite this public support and implementation of URT projects, the ridership, capital costs and cost-effectiveness of URT projects remain largely unstudied. This paper addresses this planning and policy issue by examining line-level ridership and investment data for 97 heavy rail transit (HRT) lines and 12 light rail transit (LRT) lines in 28 Chinese cities. Comparative analysis is conducted so as to evaluate the performance and cost-effectiveness of HRT and LRT. Multiple linear regression analysis is used to explain the variability of URT cost-effectiveness and how it varies depending on land use density, project design, system service, and multimodal transit integration. Findings indicate that land-use density, line length, number of transfer stations, operation time, and bus ridership significantly contribute to higher levels of URT ridership, while URT ridership decreases significantly with train headway and the station’s distance from the city center. It is cost-effective to develop URT in high-density cities in spite of high costs, and some, if not all, LRT lines are more cost-effective than HRT lines. As of this analysis, the overdevelopment of HRT in China has failed to plan for multimodal transport integration and operational optimization. However, these shortcomings are also opportunities for Chinese transportation and land-use planners to develop more cost-effective URT projects that also improve the level of service available to the public.

Highlights

  • JOURNAL OF TRANSPORT AND LAND USE 11.1Urban rail transit (URT) has experienced considerable development in the metropolitans across the world as an alternative mode of daily travel and a popular strategy to improve accessibility and mobility (Lee & Sener, 2017)

  • We focus on the impacts of factors measuring land-use density, project design, system service, and multimodal transit integration on urban rain transit (URT) cost-effectiveness performance at the line level in China

  • Where Y denotes the dependent variable of daily weekday ridership, or capital costs, or capital costs per daily weekday ridership; Xi are the independent variables reflecting land-use density, project design, system service, and multimodal transit integration; light rail transit (LRT) denotes the dummy variable of LRT or not

Read more

Summary

Introduction

Urban rail transit (URT) has experienced considerable development in the metropolitans across the world as an alternative mode of daily travel and a popular strategy to improve accessibility and mobility (Lee & Sener, 2017). The accuracy of cost and ridership projections have improved with the development of URT systems. The importance of URT cost-effectiveness analysis has not been widely acknowledged, by the emerging countries that have been developing URT ambitiously in recent years. China operates the longest running URT network in the world with ambitious plans to construct additional URT lines. It is both possible and necessary to conduct a cost-effectiveness analysis in order to improve the performance of the existing systems as well as to guide new investment in the URT development. As a nation–level analysis, findings from this study would provide academics and practitioners with useful information on URT appraisal and development.

Literature review
Study context
Data sources
Dependent variable
Independent variables
Land-use density
Project design
Multimodal transit integration
Analytical methods
Comparative analysis
Regression results for daily ridership
Regression results for capital costs
Regression results for capital costs per daily ridership
Discussion and conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call