Less workplace parking with fully autonomous vehicles?

Stefan Tscharaktschiew;Felix Reimann
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引用次数: 1

Abstract

Purpose - Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer. Design/methodology/approach - This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm's decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer-employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs. Findings - This paper's analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking. Originality/value - This study's findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.
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使用全自动驾驶汽车减少工作场所停车?
目的-最近关于全自动驾驶汽车时代通勤者停车的研究表明,通勤者所需的靠近工作场所的停车位数量将下降,因为全自动驾驶车辆能够回家、在其他地方寻求(免费)停车或只是巡游。这将是一个好消息,因为截至今天,停车场是城市土地的最大消费者之一,与社会的巨大成本有关。然而,没有一项研究涉及雇主提供停车的特殊情况,尽管工作场所停车是一种普遍现象,在许多情况下,也是通勤停车的主要形式。本文的目的是分析当雇主提供停车位时,通勤停车位是否会随着自动驾驶汽车的出现而减少。设计/方法/方法-本研究从雇主和员工的角度看待通勤停车,因为在雇主提供停车的情况下,公司提供停车位的决定和员工接受该提议的动机是密切相关的,因为工作场所停车的附带利益特征。本研究开发了一个经济均衡模型,该模型明确映射了雇主与雇员的关系,考虑了所得税法中对停车规定和停车政策的处理,并考虑了通勤、停车和公共交通的不利影响。这项研究确定了在没有和存在FAV的情况下,雇主提供的停车场的市场水平,并确定了造成差异的因素。然后,这项研究根据最近(第一次)关于FAV影响的经验证据,对每个因素的大小进行了近似。调查结果-本文的分析表明,只要扭曲的(税收)政策有利于雇主提供的停车场,FAV就不能保证最终通勤停车场会减少。独创性/价值-这项研究的发现表明,在自动驾驶汽车的世界里,与工作通勤相关的政策干预(如附加福利税或交通定价)可能比今天更有必要。
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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7.10
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Front Cover Contents Advancements and Prospects in Multisensor Fusion for Autonomous Driving Extracting Networkwide Road Segment Location, Direction, and Turning Movement Rules From Global Positioning System Vehicle Trajectory Data for Macrosimulation Decision Making and Control of Autonomous Vehicles Under the Condition of Front Vehicle Sideslip
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