Were COVID pedestrian streets good for business? Evidence from interviews and surveys from across the US

IF 1.6 4区 工程技术 Q4 TRANSPORTATION
Hayden Andersen, D. Fitch, S. Handy
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引用次数: 0

Abstract

During the COVID pandemic, at least 97 US cities closed downtown streets to vehicles to create commercial pedestrian streets with the goal of encouraging active travel and economic activity at safe social distances. This study addressed three questions about these programs for businesses located on a pedestrian street: 1) what factors influenced their feelings about the program; 2) what concerns did businesses located on pedestrian streets have; and 3) how did the pedestrian street program impact a business’s revenue as compared to other businesses in the area on streets that did not close. We created a geographic database of these pedestrian streets and identified nearly 14,000 abutting businesses, from which we collected interview and survey data. The interviews and survey results highlight key issues surrounding businesses’ experiences with pedestrian streets. Businesses abutting pedestrian streets had a slightly higher opinion of these programs than businesses not abutting these streets. A test of the effect of pedestrian street interventions on business revenue using a pseudo-control group showed the effect to be uncertain but, on average, negligible. The findings point to steps that cities can take to maximize the benefits of pedestrian streets for local businesses. 
新冠肺炎步行街对商业有好处吗?来自美国各地采访和调查的证据
在新冠肺炎疫情期间,至少有97个美国城市关闭了市中心街道,禁止车辆通行,以创建商业步行街,目的是鼓励在安全社交距离内积极出行和经济活动。这项研究针对步行街上的企业提出了关于这些项目的三个问题:1)是什么因素影响了他们对该项目的感受;2) 位于步行街上的企业有什么顾虑;以及3)与该地区未关闭街道上的其他企业相比,步行街计划如何影响企业的收入。我们创建了这些步行街的地理数据库,确定了近14000家毗邻企业,并从中收集了采访和调查数据。采访和调查结果突出了围绕企业步行街体验的关键问题。与不毗邻这些街道的企业相比,毗邻步行街的企业对这些项目的评价略高。使用伪对照组对步行街干预对商业收入的影响进行的测试表明,这种影响是不确定的,但平均而言可以忽略不计。研究结果指出,城市可以采取措施,最大限度地提高步行街对当地企业的好处。
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来源期刊
CiteScore
3.40
自引率
5.30%
发文量
34
审稿时长
30 weeks
期刊介绍: The Journal of Transport and Land Usepublishes original interdisciplinary papers on the interaction of transport and land use. Domains include: engineering, planning, modeling, behavior, economics, geography, regional science, sociology, architecture and design, network science, and complex systems. Papers reporting innovative methodologies, original data, and new empirical findings are especially encouraged.
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