Comparative analysis of daily travel patterns within spatial-social network communities
Abstract Code: 33427

Abstract

This research project explores the daily travel patterns of individual urban residents and compares group differences in such patterns among spatial-social network communities. Utilizing a rich dataset amalgamated from human subject surveys and mobile calling records, our study aims to construct a spatial-social network of urban residents who participated in a survey of the study, and then compare the distinct daily travel characteristics of individuals belonging to different spatial-social clusters.

We first develop a detailed daily travel trajectory database, integrating information from survey responses and mobile calling records. Then, a spatial-social network is constructed from the same data source. Applying network analysis methods, human communities are identified from the spatial-social network. Through advanced spatiotemporal analysis techniques, we aim to unravel the intricacies of the daily mobility behavior of residents in the case study city, identifying similarities and differences between spatial-social network communities.

We expect that the study can provide valuable insights into the social dynamics influencing daily travel and shed light on factors that shape individual movement patterns within specific social contexts. The outcomes of this research contribute to a deeper understanding of the interplay between social networks and daily mobility, with potential implications for urban planning, public health management, and transportation management.