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Moving Towards a More Accurate Level of Inspection Against Fare Evasion in Proof-of-Payment Transit Systems
Networks and Spatial Economics ( IF 2.4 ) Pub Date : 2019-05-02 , DOI: 10.1007/s11067-019-09468-3
Benedetto Barabino , Sara Salis

This paper proposes an accurate economic framework to determine the optimum inspection level—the number of ticket inspectors—in a long time window, in order to maximize the system-wide profit when fare evasion occurs. This is the first framework that introduces: i) a refined characterization of the passenger demand, ii) a profit function with new constraints, iii) an alternative estimation of the percentage of passengers who choose to evade, and iv) a new formulation accounting for inspectors who cannot fine every passenger caught evading. The implementation of this framework is illustrated by using six years of data gathered from an Italian public transport company. Based on 57,256 stop-level inspections and 21,827 on-board personal interviews, the optimum inspection rate maximizing the profit is in the range of 3.4%-4.0%. This outcome provides more accurate results, which are discussed and compared to previous research. Finally, the framework is flexible, and it may be applied to any urban context in which proof-of-payment systems are adopted.

中文翻译:

在付款证明过境系统中朝着更准确的级别进行反逃票检查

本文提出了一个准确的经济框架,可以在很长的时间范围内确定最佳的检查级别(检票员的数量),以在发生逃票时最大化全系统的利润。这是第一个引入以下框架:i)对旅客需求的精确描述,ii)具有新约束的利润函数,iii)对选择逃避的旅客百分比的另一种估计,以及iv)考虑了不能对每位逃避的乘客处以罚款的检查员。通过使用从意大利公共交通公司收集的六年数据说明了该框架的实施。根据57,256次停站检查和21,827次船上个人访谈,使利润最大化的最佳检查率在3.4%-4.0%的范围内。该结果提供了更准确的结果,将其进行讨论并与以前的研究进行比较。最后,该框架是灵活的,可以应用于任何城市环境中,采用付款证明系统。
更新日期:2019-05-02
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