Abstract
Employment is one of the essential socioeconomic connections in urban agglomeration. However, both the demand and the supply of transjurisdictional public transport service are unevenly distributed in such area. Customized bus has a high potential of serving transjurisdictional and long-distance commuting demand. This study proposes a network-based layout design method to generate hierarchical service scopes and stations for customized bus system. First, the home and the workplace of residents are identified using mobile phone data, to construct a jobs-housing relationship network. Then, an iterative algorithm based on network community detection and density-based spatial clustering is applied to the jobs-housing relationship network to hierarchically segment the urban agglomeration area into communities. Three methods are proposed for location selection of customized bus stations. A case study is conducted using the mobile phone dataset from nine cities in the Yangtze River Urban Agglomeration in China. A four-level hierarchical customized bus system layout is generated and both the spatial properties and network properties of service scopes are analyzed. The proposed three methods of customized bus station location selection are compared based on the average travel distance and the rationality of the resulted customized bus station location.
Highlights
Urban land expansion and urban population growth are the outcomes of rapid urbanization
With the massive population flooding into the urban areas, urban agglomeration is widely believed as the future direction of further urbanization and regional development
This paper introduces a customized bus (CB) system layout design and develops a network-based hierarchical location selection method based on the jobs-housing relationship from mobile phone data
Summary
Urban land expansion and urban population growth are the outcomes of rapid urbanization. Unlike the morphological patterns of individual cities, urban agglomeration includes the urban area and satellite cities and intervening rural land [1,2]. For central urban areas in the urban agglomeration, public transportation networks are usually well developed and connected, offering high accessibility for citizens. The unevenly distributed demand for commuting makes it difficult to offer direct and efficient public transport services in the urban agglomeration, especially encountered with the jurisdiction under different political entities and the conflict of interest between different entities. It is urgent to offer a fast, direct, and efficient transportation mode for commuting as a supplement of the unevenly developed transportation system in urban agglomeration. The high reliability, directive, and efficiency of CB lines make it a perfect solution for long-distance commuting demand in the urban agglomeration area. The rest part of this paper is organized as follows—hereafter this section, this paper reviews the related works from the literature and describes the overview of the CB system and the basic rules of the service scope division and station location selection; Section 2 presents the detailed methodology of this work, including the iterative algorithm of generating service scopes and station location; Section 3 presents the result of the case study in Yangtze River Urban Agglomeration in China; Section 4 proposes the conclusions and the future prospects of this study
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