High-speed rail is a large-scale form of public infrastructure that delivers obvious public benefits and economic externalities. The effects of high-speed rail on housing prices are significant, generating positive effects such as increased accessibility between cities as well as negative impacts su...
High-speed rail is a large-scale form of public infrastructure that delivers obvious public benefits and economic externalities. The effects of high-speed rail on housing prices are significant, generating positive effects such as increased accessibility between cities as well as negative impacts such as noise pollution. The development of housing projects and urban spaces that surround high-speed rail stations can be improved by scientifically examining the effects of high-speed rail stations on housing prices. In examining the Beijing high-speed rail station, this study develops a hedonic model to study the effects of a high-speed rail station on housing prices at varying geographical spatial ranges. Research shows that greater accessibility between cities, increased investment attractiveness, and an expansion of public service infrastructure results from the establishment of high-speed rail stations, which in turn positively affects housing prices. However, traffic congestion, electromagnetic radiation pollution, noise, and higher crime rates negatively affect housing prices. Spatial variations in housing prices result from the combined effects of positive and negative impacts. From the research result that housing price increases with an decline in distance between houses and high-speed rail stations within (0.891 km, 11.704 km) by the influence of high-speed rail station, and thus we recommend that residential land-transferring fee premiums resulting from high-speed rail station construction should be dedicated to the construction of affordable housing. In addition, housing price declines with an decline in distance between houses and high-speed rail stations within (0.475 km, 0.891 km), and thus regarding negative impacts of high-speed rail stations on housing prices, we recommend that compensation be made available to homeowners residing in affected regions. While land use intensities and urban space layouts should be considered during the planning of high-speed rail stations.
High-speed rail is a large-scale form of public infrastructure that delivers obvious public benefits and economic externalities. The effects of high-speed rail on housing prices are significant, generating positive effects such as increased accessibility between cities as well as negative impacts such as noise pollution. The development of housing projects and urban spaces that surround high-speed rail stations can be improved by scientifically examining the effects of high-speed rail stations on housing prices. In examining the Beijing high-speed rail station, this study develops a hedonic model to study the effects of a high-speed rail station on housing prices at varying geographical spatial ranges. Research shows that greater accessibility between cities, increased investment attractiveness, and an expansion of public service infrastructure results from the establishment of high-speed rail stations, which in turn positively affects housing prices. However, traffic congestion, electromagnetic radiation pollution, noise, and higher crime rates negatively affect housing prices. Spatial variations in housing prices result from the combined effects of positive and negative impacts. From the research result that housing price increases with an decline in distance between houses and high-speed rail stations within (0.891 km, 11.704 km) by the influence of high-speed rail station, and thus we recommend that residential land-transferring fee premiums resulting from high-speed rail station construction should be dedicated to the construction of affordable housing. In addition, housing price declines with an decline in distance between houses and high-speed rail stations within (0.475 km, 0.891 km), and thus regarding negative impacts of high-speed rail stations on housing prices, we recommend that compensation be made available to homeowners residing in affected regions. While land use intensities and urban space layouts should be considered during the planning of high-speed rail stations.
The Annals of Regional Science Blum 31 1 1 1997 10.1007/s001680050036 Introduction to the special issue: the regional and urban effects of high-speed trains
Transport Reviews Chang 28 1 87 2008 10.1080/01441640701421495 Accessibility analysis of Korean high-speed rail: a case study of the Seoul metropolitan area
The Annals of Regional Science David 48 1 203 2012 10.1007/s00168-010-0405-5 The successes and failures of a key transportation link: accessibility effects of Taiwan's high-speed rail
Journal of Transport Geography David 18 1 166 2010 10.1016/j.jtrangeo.2008.10.012 Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan
Chinese rail ways Francois 10 7 1998 Socioeconomic benefit of French TGV high-speed train
Freeman 1979 The economics of neighborhood The hedonic price approach to measuring demand for neighborhood characteristics
Journal of Transport Geography Gutierrez 4 4 227 1996 10.1016/S0966-6923(96)00033-6 The European high speed train network: predicted effects on accessibility patterns
The Annals of Regional Science Haynes 31 57 1997 10.1007/s001680050039 Labor markets and regional transportation improvements: the case of high-speed trains
Built environment Sands 19 3 257 1993 The development effects of high-speed rail station and implications for California
The Annals of Regional Science Sasaki 31 l 77 1997 10.1007/s001680050040 High-speed rail transit impact on regional systems: does the shinkansen contribute to dispersion?
Tim 1998 Analysis of the economic impacts of Florida high-speed rail
Habitat International Wen 44 31 2014 10.1016/j.habitatint.2014.05.001 Spatial effect of lake landscape on housing price : a case study of the West Lake in Hangzhou, China
Habitat International Wen 42 155 2014 10.1016/j.habitatint.2013.12.004 Do educational facilities affect housing price? an empirical study in Hangzhou, China
Habitat International Zhang 44 545 2014 10.1016/j.habitatint.2014.10.012 Transit development shaping urbanization: evidence from the housing market in Beijing
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