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Zhenhua Chen and Kingsley E. Haynes

Transportation investment policy faces an unprecedented critical moment especially when traditional public funding sources shrink. How to allocate the limited funding source among different modes of transportation infrastructure to maintain their quality and function is not only a challenging decision, it also requires the knowledge and understanding of the relationships between transportation infrastructure and regional economic development. This study conducts a comparative assessment investigating this relationship with a focus on a multimodal perspective. Through the comparison of the authors’ previous evaluation studies conducted at different geographic scales in the US and using different data and methodologies, the regional economic impacts of different modes of transportation infrastructures are contrasted and discussed. Although transportation infrastructure is found to have a consistent positive impact on regional development across different studies, the effects vary considerably among different modes of transportation. Issues of impact assessment and policy implications are raised and discussed.

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

Chapter 1 provides a background introduction of the development of high speed rail (HSR) in China.

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

Chapter 2 evaluates the spatial impacts of China’s HSR on urban transformation with a focus on land value. The land value change in the process of HSR new town development is evaluated empirically using a spatial difference-in-differences model. The assessment is based on micro -level land transaction data with 629,741 records for the period 2007–15. The research finding shows that HSR plays a significant role in facilitating urban transformation in China. The development of HSR is associated with a 3–13 percent increase in land value, ceteris paribus, but the impacts are found to vary considerably by type of city, land and the specific location within a city. Overall, the study provides evidence and implications for policy makers to improve decision making on land policy reforms and future infrastructure development through an understanding of the effectiveness of HSR on land value change.

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

Chapter 3 investigates the spatial-temporal impacts of China’s HSR on urban growth and land use change using remote sensing data and geographical information systems, with a focus on the areas near three HSR stations along the Beijing-Shanghai passenger dedicated line (BSPDL). The spatial variations of the impacts of HSR on urban growth are captured by comparing land use changes using satellite images of three different cities: Beijing, Jinan and Bengbu. The temporal variations of urban growth are evaluated through a comparative analysis based on digitalized Landsat TM/TIRS images of 2005, 2010 and 2016. The research findings suggest that the development of HSR plays a more significant role in facilitating urban expansion in medium and small cities than in large cities. In terms of temporal variations, urban growth is found to be much stronger before and during the development of HSR than after system deployment.

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

Chapter 4 investigates the impact of long-distance HSR on housing prices in China. The analysis focuses on the 1,016 housing communities in 22 cities along the Beijing-Shanghai HSR line. The tradition of the hedonic pricing model was adopted using three estimation procedures: a robust ordinary-least squares regression, a Box-Cox transformation technique and a spatial econometric model. After controlling for the physical characteristics of housing property, the neighboring environment and locational accessibility, the study finds that the establishment of the Beijing-Shanghai HSR line has a considerable regional impact (including local effects and spillover effects) on housing values in medium and small cities but a negligible impact in larger capital cities.

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Zhenhua Chen, Kingsley E. Haynes, Yulong Zhou and Zhaoxin Dai

Chapter 5 further evaluates the housing impact of HSR with a focus on China’s metropolitan intercity HSR systems. The chapter investigates the spatial impact of urban transit systems on urban housing prices in three metropolitan areas: Guangzhou, Wuhan and Chengdu. Based on a data set of 7,348 housing properties, a spatial hedonic modeling approach is adopted to explore the impacts of urban mass transit systems in general and by specific mode (bus, metro and IPR) on urban housing prices in the three different metropolitan areas. The study finds a positive effect of the newly deployed intercity passenger rail services on housing price, but the spatial impacts of urban transit systems vary substantially across different metro areas.