Reshaping Chinese space-economy through high-speed trains: opportunities and challenges
By Chia-Lin Chen. 2012
137 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Industrial and Manufacturing Engineering, Urban Studies
View Paper: https://www.semanticscholar.org/paper/a53ebde8e9350b00cbf6a84d2b0f6c11da4735b6
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- R. Vickerman
- Ming-xi Yin
- Jin Duan
- Luca Bertolini
- Chia-Lin Chen
- Kingsley E. Haynes
- Zhenhua Chen
- Jerry Olsson
In Industrial and Manufacturing Engineering
In Urban Studies
Citations in the corpus
- The effects of the high-speed railway on urban development: International experience and potential implications for China (2015, background): “…about this topic based on the international experience and there is a recent publication pointing out the challenges stemming from HSR development (Chen, 2012), there is still no systematic discussion relating to actual urban development effects abroad, potential effects in China and ensuing…”
- Impacts on accessibility of China’s present and future HSR network (2014, unknown): “The existing literature (Chen, 2012; Cao et al., 2013; Shaw et al., 2014) on the impacts of China’s HSR have also reported the existence of ‘‘uneven space–time convergence’’, ‘‘corridor effects’’ and ‘‘inequality in accessibility’’, but have not considered the increase in the degree of accessibility”
- Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line☆ (2015, background): “Chen, K.E. Haynes / Journal of Transport Geography 43 (2015) 91–100”
- Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China (2017, background): “The passenger-dedicated lines (PDLs) comprise two major HSR systems, i.e., crisscrossed PDLs across the country and inter-city PDLs around 10 city clusters that serve more economically advanced and densely populated areas (Chen, 2012; Yin, Bertolini, & Duan, 2015).”