Abstract
As the outcomes of rapid urbanization, the spatial separation of homes and workplaces extends the commuting distance and complicates the commuting demand of residents. To promote urban livability and sustainability, it becomes crucially important to understand the commuting patterns by decomposing and simplifying the diverse commuting demand. In this paper, a methodology framework is proposed to describe the spatial structure of commuting demand in a city using mobile phone data. Four steps are mainly included in the proposed methodology: the preprocessing of mobile phone data, the labeling of individuals and their activity points, the construction of the jobs-housing relationship network, and the network decomposition based on the community detection algorithm. To demonstrate the practical use of the proposed methodologies, a case study is carried out in Shanghai to explore the commuting patterns of Shanghai residents. The result indicates the regions with dense jobs-housing connections and cross-regional commuting demand. The result also finds that the administrative boundaries show a significant effect on the residential commuting behavior and the metro lines on the cross-regional commuting behavior. The results generated by the methodology proposed can be referenced by policymakers to support urban transportation planning and promote urban livability and sustainability.
Highlights
Commuting is defined as the regular travel between one’s place of residence and place of work or full-time study
Comparing nonoverlapping and overlapping communities, we find that they describe the urban commuting demand structure in different aspects: (i) For nonoverlapping communities, each node only belongs to one community, which forces them to be inside the community with the strongest connection. us, nonoverlapping communities are more suitable to describe the whole picture of the spatial structure of urban commuting demand
As for the spatial demand of urban commuting demand, it is found that (i) By decomposing the jobs-housing network into nonoverlapping communities, according to the number of job activity points, communities can be classified into three types. e commuting demand structure in Shanghai can be simplified into a combination of concentric, sector, and multiple nuclei structure
Summary
Commuting is defined as the regular travel between one’s place of residence and place of work or full-time study. As a substantial component of urban transportation and individual mobility, commuting plays a very important role in the overall travel patterns of residents and determines urban livability and sustainability [1]. In the urban space reconstruction, the spatial separation of home and workplace extends the distance of commute. Many studies find that commuting has a great impact on the residents’ well-being [5, 6]. Commuting pattern is widely regarded as an indicator of urban spatial structure [7]. Erefore, understanding the commuting patterns of residents and unveiling the spatial structure of commuting demand throughout the city are the prerequisites for the promotion of livability and sustainability Commuting pattern is widely regarded as an indicator of urban spatial structure [7]. erefore, understanding the commuting patterns of residents and unveiling the spatial structure of commuting demand throughout the city are the prerequisites for the promotion of livability and sustainability
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