Identifying and interpreting the demand-supply relationship for potential transit service improvement in China's Pearl River Delta
In an era of integrated regional development,the quantity of multi-city travel is increasing,which demands for high-quality public transit services.Taking China's Pearl River Delta as a case,we analyze the jobs-housing relationship and public transit services with the location-based big data and multimodal public transit service model.Specifically,we quantify and geo-visualize the patterns of the jobs-housing relationship and transit services,identify the demand-supply relationship and potential demand for public transit service using the K-means clustering method,and analyze the causal factors using a multi-nominal logit model.We reach the following conclusions.First,transit services for inter-city commuting trips are of lower quality compared to their intra-city counterpart.Second,the demand-supply relationship can be grouped into a few clusters.Third,institutional barriers and development intensity produced significant but varying impacts,from either the supply or demand side,on the quality of public transit services.Inter-city collaboration and innovative transit solutions can advance the supply of regionalized transit services.Our research can help government officials,urban planners,and transit operators better solve the problems of transit services from a regional perspective.
transit service evaluationjobs-housing relationshipPearl River Delta of Chinaregional integration
万方数据
维普
