2016
DOI: 10.1016/j.tranpol.2016.05.007
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Rail transit investment and property values: An old tale retold

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Cited by 81 publications
(74 citation statements)
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“…Finally, recent literature has addressed the need for local examination of the price effect as these literature sees that the generalization of market responsiveness based on global models from the past research may not be adequate (Du and Mulley ; Mulley ; Bohman and Nilsson ; Higgins and Kanaroglou ; Zhong and Li ). In this study, both the spatial Durbin model and the GWR model indicate that great spatial variation exists even from the same rail system.…”
Section: Resultsmentioning
confidence: 99%
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“…Finally, recent literature has addressed the need for local examination of the price effect as these literature sees that the generalization of market responsiveness based on global models from the past research may not be adequate (Du and Mulley ; Mulley ; Bohman and Nilsson ; Higgins and Kanaroglou ; Zhong and Li ). In this study, both the spatial Durbin model and the GWR model indicate that great spatial variation exists even from the same rail system.…”
Section: Resultsmentioning
confidence: 99%
“…The numerous amount of literature on evaluating the impact of rail transit on property values derives from a clear policy interest in understanding what values can be captured from public transportation investment (Mulley et al ; Zhong and Li ). The literature with hedonic price model generally assumes that station proximity has immediate effects on adjacent properties, and should be capitalized into property values.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…It seems reasonable to expect a light rail system that provides accessibility benefits to also have significant ridership. Zhong and Li (2016) suggests that heterogeneity across cities in terms of technology, development stage and housing markets could explain differences in property values. Furthermore, Baum-Snow and Kahn (2005) argue that new rail transit is most effective in more densely populated areas and in locations with elevated commuting times.…”
Section: Overview and Economic Theorymentioning
confidence: 99%