sustainability Article Does High-Speed Rail Influence Urban Dynamics and Land Pricing? Panrawee Rungskunroch 1,2,3, Yuwen Yang 1 and Sakdirat Kaewunruen 1,2,* 1 School of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UK;
[email protected] (P.R.);
[email protected] (Y.Y.) 2 Birmingham Centre for Railway Research and Education (BCRRE), University of Birmingham, Birmingham B15 2TT, UK 3 Institute of Transportation Study (ITS), University of California, Berkeley, CA 94720, USA * Correspondence:
[email protected] Received: 27 February 2020; Accepted: 1 April 2020; Published: 9 April 2020 Abstract: At present, many countries around the world have significantly invested in sustainable transportation systems, especially for high-speed rail (HSR) infrastructures, since they are believed to improve economies, and regenerate regional and business growth. In this study, we focus on economic growth, dynamic land use, and urban mobility. The emphasis is placed on testing a hypothesis about whether HSRs can enable socio-economic development. Real case studies using big data from large cities in China, namely Shanghai province and Minhang districts, are taken into account. Socio-technical information such as employment rate, property pricing, and agglomeration in the country’s economy is collected from the China Statistics Bureau and the China Academy of Railway Sciences for analyses. This research aims to re-examine practical factors resulting from HSR’s impact on urban areas by using ANOVA analysis and dummy variable regression to analyse urban dynamics and property pricing. In addition, this study enhances the prediction outcomes that lead to urban planning strategies for the business area.