Viewpoint: Turning streets into housing

IF 1.6 4区 工程技术 Q4 TRANSPORTATION Journal of Transport and Land Use Pub Date : 2021-10-06 DOI:10.5198/jtlu.2021.2020
A. Millard‐Ball
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Abstract

I argue that wide residential streets in US cities are both a contributor to homelessness and a potential strategy to provide more affordable housing. In residential neighborhoods, subdivision ordinances typically set binding standards for street width, far in excess of what is economically optimal or what private developers and residents would likely prefer. These street width standards are one contributor to high housing costs and supply restrictions, which exacerbate the housing affordability crisis in high-cost cities. Planning for autonomous vehicles highlights the overprovision of streets in urban areas. Because they can evade municipal anti-camping restrictions that restrict the use of streets by unhoused people, autonomous camper vans have the ability to blur the distinction between land for housing and land for streets. I propose two strategies through which excess street space can accommodate housing in a formalized way. First, cities could permit camper van parking on the right-of-way, analogous to liveaboard canal boats that provide housing options in some UK cities. Second, extending private residential lots into the right-of-way would create space for front-yard accessory dwelling units.
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观点:把街道变成住房
我认为,美国城市宽阔的住宅街道既是造成无家可归的原因,也是提供更多负担得起的住房的潜在策略。在住宅区,分区条例通常为街道宽度设定有约束力的标准,远远超过经济最佳或私人开发商和居民可能喜欢的标准。这些街道宽度标准是高住房成本和供应限制的一个因素,这些因素加剧了高成本城市的住房负担能力危机。自动驾驶汽车的规划凸显了城市街道的过度规划。因为自动露营车可以避开限制无家可归者使用街道的市政反露营限制,所以它们能够模糊住房用地和街道用地之间的区别。我提出了两种策略,通过这些策略,多余的街道空间可以以正式的方式容纳住房。首先,城市可以允许露营车在路权上停车,类似于在英国一些城市提供住房选择的运河船。其次,将私人住宅地块延伸到路权中,将为前院附属住宅单元创造空间。
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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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