Understanding the costs of urban rail transport operations

被引：18

作者：

Anupriya ^{[1
]}

Graham, Daniel J. ^{[1
]}

Carbo, Jose M. ^{[1
]}

Anderson, Richard J. ^{[1
]}

Bansal, Prateek ^{[1
]}

机构：

[1] Imperial Coll London, Transport Strategy Ctr, Dept Civil & Environm Engn, South Kensington Campus, London SW7 2AZ, England

来源：

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL | 2020年 / 138卷

关键词：

Urban rail transport; Operational costs; Unobserved productivity; Scale economies; Endogeneity; PUBLIC-TRANSIT SYSTEMS; PRODUCTIVITY GROWTH; SCALE ECONOMIES; PANEL-DATA; SIZE; EFFICIENCY; DENSITY;

D O I：

10.1016/j.trb.2020.05.019

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

There is considerable variation in the average cost of operations across urban rail transport (or metro) systems. Since metros are typically owned and operated by public authorities, there is a public interest case in understanding the key drivers of their operational costs. This paper estimates short-run cost functions for metro operations using a unique panel dataset from twenty-four metro systems around the world. We use a flexible translog specification and apply dynamic panel generalised method of moments (DPGMM) estimation to control for confounding from observed and unobserved characteristics of metro operations. Our empirical results show that metro systems with a high density of usage are the most cost-efficient. We also find that operational costs fall as metro size increases. These results have important implications for the economic appraisal of metro systems. (C) 2020 Elsevier Ltd. All rights reserved.

引用

页码：292 / 316

页数：25

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