title: Incorporating Human Movement Behavior into the Analysis of Spatially Distributed Infrastructure.
abstract: For the first time in human history, the majority of the world's population resides in urban areas. Therefore, city managers are faced with new challenges related to the efficiency, equity and quality of the supply of resources, such as water, food and energy. Infrastructure in a city can be viewed as service points providing resources. These service points function together as a spatially collaborative system to serve an increasing population. To study the spatial collaboration among service points, we propose a shared network according to human's collective movement and resource usage based on data usage detail records (UDRs) from the cellular network in a city in western China. This network is shown to be not scale-free, but exhibits an interesting triangular property governed by two types of nodes with very different link patterns. Surprisingly, this feature is consistent with the urban-rural dualistic context of the city. Another feature of the shared network is that it consists of several spatially separated communities that characterize local people's active zones but do not completely overlap with administrative areas. According to these features, we propose the incorporation of human movement into infrastructure classification. The presence of well-defined spatially separated clusters confirms the effectiveness of this approach. In this paper, our findings reveal the spatial structure inside a city, and the proposed approach provides a new perspective on integrating human movement into the study of a spatially distributed system.
authors.affiliation: Wuhan University, Department of Communication Engineering, Wuhan, 430072, China.
authors.forename: Lihua
authors.initials: L
authors.lastname: Wu
authors.affiliation: University of Calgary, Department of Electrical and Computer Engineering, Calgary, T2N 1N4, Canada.
authors.forename: Henry
authors.initials: H
authors.lastname: Leung
authors.affiliation: Wuhan University, Department of Communication Engineering, Wuhan, 430072, China.|Wuhan University, Geospatial Information Technology Cooperative Innovation Center, Wuhan, 430072, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Jiang
authors.affiliation: Wuhan University, Department of Communication Engineering, Wuhan, 430072, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Zheng
authors.affiliation: Wuhan University, Department of Communication Engineering, Wuhan, 430072, China.
authors.forename: Li
authors.initials: L
authors.lastname: Ma
mesh_terms: D002681:China; D002755:Choice Behavior; D002947:Cities; D062305:Geographic Mapping; D006295:Health Resources; D006801:Humans; D011157:Population Dynamics; D012111:Residence Characteristics; D013037:Spatial Behavior; D014507:Urbanization / Q000639:trends*