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Understanding the determinants of demand for public transport: Evidence from suburban rail operations in five divisions of Indian Railways

机译：了解公共交通需求的决定因素：来自印度铁路五局的郊区铁路运营的证据

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This paper analyses suburban rail fare elasticity and compares the results across five suburban divisional operations of the Indian Railways in three cities viz., Chennai, Kolkata and Mumbai. The three cities chosen have a highly varying modal share of public transport trips and thus offer interesting insights into the attitudes of trip makers towards the changes in operational variables such as fares, service levels. This paper contributes towards understanding of the determinants of demand for public transport in a developing country and applies econometric methods involving static and dynamic modelling methodologies. This research addresses the question of smaller sample sizes which constrain the use of standard regression approaches and applies a bootstrapping method which substitutes for traditional assumptions on distributions and asymptotic results. It was found that the suburban rail demand is inelastic to fare which indicates that the revenue would increase with an increase in fare. Finally, the paper illustrates the use of computed elasticities by estimating the demand for suburban rail in Kolkata. (C) 2016 Elsevier Ltd. All rights reserved.
机译：本文分析了郊区铁路票价的弹性，并比较了印度铁路在钦奈，加尔各答和孟买这三个城市的五个郊区分区运营的结果。所选择的三个城市在公共交通出行方式中所占的比重差异很大，因此，对于出行者对票价，服务水平等运营变量变化的态度提供了有趣的见解。本文有助于理解发展中国家对公共交通需求的决定因素，并应用涉及静态和动态建模方法的计量经济学方法。这项研究解决了样本量较小的问题，该样本量限制了标准回归方法的使用，并采用了一种自举方法来代替对分布和渐近结果的传统假设。结果发现，郊区铁路需求对票价没有弹性，这表明随着票价的增加，收入将增加。最后，本文通过估算加尔各答郊区铁路的需求说明了计算弹性的使用。 （C）2016 Elsevier Ltd.保留所有权利。

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