Abstract
In the overall planning of a city, it is important to formulate the reasonable structure of urban space which needs lots of research studies as strong supports. One of these supports is the relationship between the urban built environment and human behavior, and this has been of interest to the field of urban transportation planning. The essential element in this research field is the development of appropriate measures for individual’s activity space based on the collected data. This study introduced a new dataset, the cellular signaling data (CSD), and corresponding measures to analyze the relationship between the urban built environment and individual’s activity space. The CSD have more detailed time-space stamps of individual’s activities compared with traditional surveys, questionnaires, and even call detailed record (CDR) data. The individual’s activity space is defined based on the anchor point theory. The convex polygon approach was used to describe the geometrical shape of individual’s activity space. The proposed methodology was verified with the CSD collected in Shanghai. The results show that the total number of the cellphone users investigated in this study can be categorized into three different groups with specific characteristics of activity spaces. The results may benefit for related urban agencies to implement customized policy for the purpose of transportation demand management.
Highlights
E proposed methodology was verified with the cellular signaling data (CSD) collected in Shanghai. e results show that the total number of the cellphone users investigated in this study can be categorized into three different groups with specific characteristics of activity spaces. e results may benefit for related urban agencies to implement customized policy for the purpose of transportation demand management
Recent studies [4, 5] have focused on the impacts of land use and design policies on the usage of different transport modes, such as transit, walking, and bicycling. e results of such relationship can be used by urban planners for the evaluation of proper policies to guide human travel activities. e essential element in this research field is the development of appropriate measures for individual’s activity space based on the collected data
To represent the sprawl direction of activity space, we defined the major-minor axis ratio major axis/ minor axis, where the major axis is the longest distance between the activity points and the minor axis is the plus of longest distances from both sides to major axis (CD + EF in Figure 4). e specific method is as follows: (1) e outermost point of the resident stay point is screened out, and the distance between the two is calculated, among which the longest distance AB is the long axis of the convex polygon
Summary
E proposed methodology was verified with the CSD collected in Shanghai. e results show that the total number of the cellphone users investigated in this study can be categorized into three different groups with specific characteristics of activity spaces. e results may benefit for related urban agencies to implement customized policy for the purpose of transportation demand management. E traffic patterns with the priority of bus cannot take the place of a reasonable urban space structure, which should be the focus of strategic controlling. Under these circumstances, it is necessary to discuss the relationship between the urban built environment (BE) and individual’s activity space. E essential element in this research field is the development of appropriate measures for individual’s activity space based on the collected data. Previous studies on the link between the urban built environment and individual’s activity space mostly rely on traditional traffic surveys and questionnaires and the corresponding measures including travel behavior patterns [6], human mobility patterns [7], and activity patterns [8]. All the above shortcomings of the traditional data collection restrict the development of the temporal and spatial patterns of individual’s activities
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