Borrowed sizes: A hedonic price approach to the value of netowrk structure in public transport systems

IF 1.6 4区 工程技术 Q4 TRANSPORTATION Journal of Transport and Land Use Pub Date : 2021-01-18 DOI:10.5198/JTLU.2021.1664
Helena Bohman, Desirée Nilsson
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引用次数: 4

Abstract

Property prices are known to be higher in places with high accessibility, such as in proximity to train stations and especially to commuter rail, than in places without this access. This study provides a better understanding of how regional accessibility, through the structure of railway networks, can influence local agglomeration economies by providing accessibility to large labor markets. Previous literature has shown a positive impact of proximity to railway stations on housing prices, and our study adds to the literature by analyzing the impact of network structure. We argue that public transport systems can support the benefits of city networks in line with Alonso’s concept of borrowed sizes (1973). Using network theory to measure accessibility provided by the network, we show that stations that provide accessibility to large labor markets across the region are perceived as more attractive by households. Cities in proximity to other cities are strengthened through their public transport links, which allow agglomeration benefits to be exploited by residents.
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借用规模:公共交通系统网络结构价值的享乐价格方法
众所周知,在交通便利的地方,比如靠近火车站,尤其是通勤铁路的地方,房价要高于没有交通便利的地区。这项研究更好地了解了区域可达性如何通过铁路网的结构,通过提供大型劳动力市场的可达性来影响当地的集聚经济。先前的文献表明,靠近火车站对房价有积极影响,我们的研究通过分析网络结构的影响来补充文献。我们认为,公共交通系统可以支持城市网络的利益,这符合Alonso的借用规模概念(1973)。使用网络理论来衡量网络提供的可访问性,我们发现,为整个地区的大型劳动力市场提供可访问性的车站被家庭认为更具吸引力。与其他城市相邻的城市通过其公共交通连接得到了加强,这使得居民能够利用集聚效益。
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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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