The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy

IF 2.2 3区工程技术 Q2 ECONOMICS

Economics of Transportation Pub Date : 2020-03-01 DOI:10.1016/j.ecotra.2019.100151

Alejandro Tirachini , Constantinos Antoniou

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引用次数: 53

Abstract

It is currently unknown in which city environments, automated vehicles could be deployed at reasonable speeds, given safety concerns. We analytically and numerically assess the impact of automation for optimal vehicle size, service frequency, fare, subsidy and degree of economies of scale, by developing a model that is applied for electric vehicles, with data from Chile and Germany, taken as illustrative examples of developed and developing countries. Automation scenarios include cases with partial driving cost savings and reduced running speed for automated vehicles. We find that a potential reduction in vehicle operating cost due to automation benefits operators, through a reduction of operator costs, and also benefits public transport users, through a reduction on waiting times and on the optimal fare per trip. The optimal subsidy per trip is also reduced. The benefits of vehicle automation are greater in countries where drivers’ salaries are larger.

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自动化公共交通的经济学:对运营商成本、出行时间、票价和补贴的影响

考虑到安全问题，目前尚不清楚在哪些城市环境中，自动驾驶汽车可以以合理的速度部署。我们通过开发一个适用于电动汽车的模型，分析和数值评估自动化对最佳车辆尺寸、服务频率、票价、补贴和规模经济程度的影响，并将智利和德国的数据作为发达国家和发展中国家的例证。自动化场景包括部分节省驾驶成本和降低自动驾驶车辆运行速度的情况。我们发现，由于自动化，车辆运营成本的潜在降低有利于运营商，通过降低运营商成本，也有利于公共交通用户，通过减少等待时间和每次旅行的最佳票价。每次出行的最优补贴也减少了。在司机工资较高的国家，汽车自动化带来的好处更大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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