地铁站落成、房价和交通可达性:德黑兰案例研究

IF 1.6 4区 工程技术 Q4 TRANSPORTATION Journal of Transport and Land Use Pub Date : 2021-04-25 DOI:10.5198/JTLU.2021.1622
Yekta Yazdanifard, Hosein Joshaghani, Masoud Talebian
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引用次数: 2

摘要

作为交通走廊的一种模式,新地铁站的开通可能会对房价产生不同的影响。我们利用伊朗德黑兰地铁网络大规模扩建的数据,调查了地铁对这些车站周围住宅物业价值的影响。在我们的研究期间(2010年4月至2018年12月),德黑兰有45个地铁站落成。我们使用差中差回归方法来确定感兴趣的因果效应,其中使用相邻属性作为治疗组,使用相似但距离较远的属性作为对照组。结果表明,平均而言,相对于较远的房产,邻近的房产受到3.7%的价格上涨的影响。我们还扩展了我们的研究,根据预先进入其他公共交通方式(如快速公交系统)的程度对新建地铁站进行了分类。我们发现,在公共交通较少的地区,新建地铁站的积极效应为2%至11%,而在公共交通系统预先广泛的地区,我们发现积极效应不到2%。
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Metro station inauguration, housing prices, and transportation accessibility: Tehran case study
The opening of a new metro station, as a mode of the transportation corridor, potentially could have different effects on housing prices. We have investigated its effect on the value of residential properties around those stations, using data from large expansions of the metro network in Tehran, Iran. In the period of our study (April 2010 to December 2018), forty-five metro stations were inaugurated in Tehran. We use a difference-in-difference regression method to identify the causal effect of interest, where adjacent properties are used as the treatment group and similar but distant properties as the control group. The results indicate that, on average, the adjacent properties are affected by a 3.7 percent increase in price relative to distant properties. We also extend our study by categorizing new metro stations according to the extent of ex-ante access to other modes of public transportation such as bus rapid transit (BRT). We find 2 to 11 percent positive effect of new metro stations in regions with lower public transport, while in regions with ex-ante extensive public transportation system, we find less than 2 percent positive effect.
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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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