停车要求的机会成本:如果停车要求更低,硅谷会更富有吗?

IF 1.6 4区 工程技术 Q4 TRANSPORTATION
C. J. Gabbe, M. Manville, Taner Osman
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引用次数: 3

摘要

我们估计了加利福尼亚州圣克拉拉县(更广为人知的是硅谷)七个经济效益最高的城市的路边停车供应量。利用评估员数据、城市分区数据和航空图像的目视检查,我们估计这些城市约13%的土地面积用于停车,超过一半的平均商业地块是停车位。后一个事实表明,如果最低停车要求具有约束力,就会降低硅谷的商业和工业密度,从而降低其经济产出。在一项探索性的实证研究中,我们模拟了从2000年开始停车需求的减少,并表明在保守的假设下,该地区本可以增加近13000个工作岗位的空间,相当于比当时的实际工作岗位增长了37%。这些额外的工作岗位将不成比例地位于该地区工资最高的邮政编码,每年可能增加超过10亿美元的工资,这进一步意味着生产力的大幅提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
opportunity cost of parking requirements: Would Silicon Valley be richer if its parking requirements were lower?
We estimate the off-street parking supply of the seven most economically productive cities in Santa Clara County, California, better known as Silicon Valley. Using assessor data, municipal zoning data, and visual inspection of aerial imagery, we estimate that about 13 percent of the land area in these cities is devoted to parking, and that more than half of the average commercial parcel is parking space. This latter fact suggests that minimum parking requirements, if binding, depress Silicon Valley’s commercial and industrial densities, and thus its economic output. In an exploratory empirical exercise, we simulate a reduction in parking requirements from the year 2000 forward and show that under conservative assumptions the region could have added space for nearly 13,000 jobs, equivalent to a 37 percent increase over the actual job growth that occurred during that time. These additional jobs would be disproportionately located in the region’s highest-wage zip codes and could add more than $1 billion in payroll annually, further implying a large productivity gain.
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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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