Evaluating the Impact of China’s Rail Network Expansions on Local Accessibility: A Market Potential Approach

Wu, Wenjie; Liang, Yujia; Wu, Di

doi:10.3390/su8060512

Cited by 29 publications

(18 citation statements)

References 31 publications

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“…The findings of this study support the results of other relevant literature pertaining to China's HSR network in the sense that the network generally improves accessibility across the nation [21][22][23]32,34] but the degree of improvement varies (Table 5). We adopted the door-to-door approach to calculate the times of each stage in a journey for the HSR travel mode, including the inner-city travel time, the transfer time and the waiting time for connecting services at the railway stations.…”

Section: Comparison Between the Two Indicatorssupporting

confidence: 87%

Potential Impacts of China 2030 High-Speed Rail Network on Ground Transportation Accessibility

et al. 2018

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Abstract:China has proposed an ambitious high-speed rail (HSR) program by 2030 to connect all provincial capitals (excluding Lhasa) and large cities with more than half million people. Little attention has been paid to evaluate its potential impacts on ground transportation accessibility. To answer this question, we adopted a door-to-door approach to calculate two indicators: the weighted average travel time and daily accessibility. The results show that the HSR network follows the same spatial patterns of population size and regional development, thus preferentially serving eastern China. The two accessibility indicators suggest that the large-scale construction of HSR network by 2030 will substantially improve accessibility and alter the spatial disparities of accessibility. On average, accessibility of all cities will increase by 61.7%. Geographically, cities with higher accessibility are located in the quadrilateral area of 'Wuhan-Zhengzhou-Jinan-Nanjing' on the southeastern section of the 'Hu Line.' While the least accessible cities are distributed in peripheral areas. Although the HSR development can benefit accessibility throughout the country, the disparities of accessibility would widen slightly among regions, provinces and cities.

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Section: Comparison Between the Two Indicatorssupporting

confidence: 87%

Potential Impacts of China 2030 High-Speed Rail Network on Ground Transportation Accessibility

et al. 2018

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“…It is an important environmental barrier and the water source in the world and is also the frontier region and a concentrated severely poverty-stricken area of China [47]. However, due to restrictions related to geography, climate and society, transport development in the area has lagged behind for a long time, which historically has hindered the socio-economic development of the region [48]. However, with China Western Development and the construction of major infrastructure, the transport network greatly improved, which has promoted socio-economic development and stability in the region and improved living standards.…”

Section: Study Areamentioning

confidence: 99%

Spatial Fairness and Changes in Transport Infrastructure in the Qinghai-Tibet Plateau Area from 1976 to 2016

Gao

Cao

2019

Sustainability

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The Qinghai-Tibet Plateau area (QTP) is the most unique environmental-population region and an important natural laboratory for the study of human-land relations. The poor transportation conditions have long restricted socio-economic development. The research on the transport infrastructure and spatial effect in the QTP is of significance to the sustainable development of the region. Accordingly, a spatial accessibility model was used to analyze the spatial pattern of accessibility in QTP from 1976–2016, examine the accessibility evolution trend on the township scale and reveal the spatial fairness and changes in accessibility. The main conclusions are as follows: (1) The accessibility to major cities improved and the time-space convergence effect was significant. (2) The spatial autocorrelation analysis results showed that the improvement in transport infrastructure had a significant impact on the agglomeration of the accessibility level. (3) Access time from towns to the nearest major city are much shorter. More Tibetan people have more opportunities to access cities. (4) The accessibility coefficient and relative accessibility revealed distributive effects and spatial fairness of accessibility. (5) The global coefficient of variation value demonstrated an increasing trend, which indicates that spatial unfairness of transport is increasing.

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“…To reduce the impact of unobserved factors on the results of the empirical analysis, this paper used a counterfactual method [51] for placebo testing. This study artificially set the HSR operation time points to test the effect of HSR on housing prices by using the data from the years 2008 to 2012.…”

Section: Placebo Testmentioning

confidence: 99%

The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities

Wang

Chen

2019

Sustainability

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The rapid development of the high-speed rail (HSR) network enhanced the regional accessibility between cities, drove the rise in cities’ investment levels, and expanded the activity radius of the labor force, causing changes in housing prices along the rail lines. Based on panel data of 285 cities in China from 2008–2016, this study used the difference-in-difference based on propensity score matching (PSM-DID) method to calculate the impact of HSR on housing prices. The conclusions of the study indicated that, at the regional level, HSR significantly promoted the rise in housing prices in HSR cities along the rail line. HSR had a positive effect on housing prices, where the coefficient of HSR influence was 0.1511 and passed a 1% significance test. From the perspective of the combination of sub-regional and sub-city scales, HSR mainly played a significant role in promoting housing prices in “small and medium-sized cities” and “central and western cities”, especially in small and medium-sized cities in the central and western regions; in general, HSR can narrow the housing price gap between “small and medium-sized HSR cities” in the central and western regions and large HSR cities in the east region. Lastly, the results of the intermediary mechanism test showed that the income level of residents and employment levels played an intermediary role in the influence of HSR on the housing prices of cities along the rail line. Thus, this paper suggests that the Chinese government needs to formulate housing price control policies that suit local conditions according to the characteristics of different cities.

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Evaluating the Impact of China’s Rail Network Expansions on Local Accessibility: A Market Potential Approach

Cited by 29 publications

References 31 publications

Potential Impacts of China 2030 High-Speed Rail Network on Ground Transportation Accessibility

Potential Impacts of China 2030 High-Speed Rail Network on Ground Transportation Accessibility

Spatial Fairness and Changes in Transport Infrastructure in the Qinghai-Tibet Plateau Area from 1976 to 2016

The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities

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