Journal
CITIES
Volume 138, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.cities.2023.104340
Keywords
TOD; Mountainous city; Accessibility; Nonlinear effects; Big data; Gradient-boosting decision tree
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The increasing pace of urbanization has led to various challenges in urban areas, such as limited land resources, severe traffic congestion, and environmental degradation. This study examines the nonlinear relationship between public-transport accessibility and urban development in mountainous cities, using Chongqing, China as a case study. The results highlight the significant impact of metro and street accessibility on urban development in Chongqing, while the effects of the central-business-district (CBD) and bus transportation are relatively weaker compared to flat cities.
The increasing pace of urbanization has given rise to numerous challenges in urban areas, including limited land resources, severe traffic congestion, and environmental degradation. To address these issues, Transit-Oriented Development (TOD) has been identified as an effective strategy for promoting sustainable urban development by enhancing the link between transportation and land use. This study explores the nonlinear relationship be-tween public-transport accessibility and urban development from the perspective of mountainous cities, using Chongqing, China as a case study. The gradient-boosting decision tree (GBDT) is employed to analyze nonlinear effects via big data and open data. The results of the study reveal that metro and street accessibility significantly impact urban development in Chongqing, while the effects of the central-business-district (CBD) and bus transportation are weaker compared to plain cities. Four metro stations in Chongqing are selected to examine the local effects of public-transport accessibility on urban development. This research sheds light on the accessibility and urban-development issues in mountainous cities, considering the influence of topographical factors.
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