Research on the Daily Travel Behavior Characteristics of the Elderly in New Urban Areas in China Based on GNSS Trajectory (77114)

Session Information:

Session: On Demand
Room: Virtual Video Presentation
Presentation Type: Virtual Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

The community living circle is the basic unit of urban community life. As one of the most active user groups, the elderly’s daily travel behavior plays an important guiding role in the spatial layout planning of community facilities. This study uses the GNSS action tracking method, taking Binhu Century Community in new urban areas in Hefei, China as an example, to obtain 222 sets of valid daily travel action data of the elderly, and combines GIS kernel density to analyze the accessibility and facilities of the elderly's daily travel. Select preferences and explore the mobility characteristics and influencing factors of daily travel for the elderly in new urban areas through movement trajectories, walking distances, and walking speeds. Then we explore the correlation between the layout of community facilities, the composition of surrounding space in the community and the travel behavior of the elderly. The study found that the travel behavior of the elderly in the new urban area is mainly concentrated on resting, shopping, etc., the travel distance is concentrated between 250-500 meters, and the trajectory lines are mainly concentrated along the walking space of urban roads. The study ultimately proposes improvement strategies and management measures to optimize the configuration of age-friendly community facilities and the community space environment.

Yiqing Cai, Hefei University of Technology, China
Zao Li, Anhui Jianzhu University, China

About the Presenter(s)
Cai Yiqing is Hefei University of Technology and Kyushu University jointly train doctoral students now.The main research directions covers sustainable urban planning and design, community aging environment, spatial-temporal behavior.

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00