Coupling effects analysis of jobs-housing distribution and rail transit network

Abstract:

For the coordinated development of urban rail transit network and urban spatial structure, a spatial simultaneous equation was utilized based on multi-source spatiotemporal data to analyze the spatial interaction between jobs-housing spatial structure and rail transit network. The jobs-housing self-contained index was employed to measure the urban jobs-housing balance. On the basis of the actual road network, the Gaussian-based two-step floating catchment area (2SFCA) method was used to calculate the accessibility of rail transit stations. A spatial simultaneous equation was utilized to reveal the spatial interaction effect between jobs-housing balance and rail transit accessibility. The spatial autocorrelation analysis was introduced to explore the coupling between the urban jobs-housing space and the rail transit network in Xi′an. Results show that the Gaussian 2SFCA method based on the actual road network can evaluate the accessibility of rail transit more reasonably. There is mutual feedback effect mechanism between regional jobs-housing balance and rail transit accessibility: both of them have positive spatial spillover effect, and there is a positive interaction spatial spillover effect between them. From the perspective of local coupling effect, the planning and construction of rail transit in the north and southwest of the main urban area of Xi′an should be strengthened. The urban spatial structure can be optimized through the guidance of urban rail transit on urban development. The research results can reveal the interaction between urban rail transit network and jobs-housing space and play a reasonable role in guiding urban rail transit to optimize urban spatial layout.