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Impact of transit stations on house prices across entire price spectrum: A quantile regression approach
Land Use Policy ( IF 6.189 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.landusepol.2020.104828
Shishir Mathur

Abstract This study provides evidence on the impact of a heavy-rail-based transit station on house prices by employing quantile regression method on a dataset that inventories sales transactions of single-family houses during the January 2000–April 2018 period, and within eight kilometers (five miles) of the Warm Springs station of the San Francisco Bay Area Rapid Transit system. The station is located in Fremont, CA. The results show that a) the station increased house prices across the entire price spectrum, and b) the price increase began more than ten years before the rail service commenced. On a larger note, this study should strengthen efforts to a) provide or extend heavy-rail-based rapid transit systems in areas of high need and b) explore the use of value capture tools to fund transit.

中文翻译:

公交站点对整个价格范围内房价的影响:分位数回归方法

摘要 本研究通过对 2000 年 1 月至 2018 年 4 月期间 8 公里范围内单户住宅的库存销售交易数据集采用分位数回归方法,为重轨交通站对房价的影响提供了证据。 (五英里)旧金山湾区捷运系统的温泉站。该站位于加利福尼亚州弗里蒙特。结果表明,a) 车站在整个价格范围内提高了房价,b) 价格上涨在铁路服务开始前十多年就开始了。从更大的角度来看,这项研究应加强努力 a) 在高需求地区提供或扩展基于重轨的快速交通系统,以及 b) 探索使用价值获取工具为交通提供资金。
更新日期:2020-12-01
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