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Aug 12, 2020
The Effect of Land-Use along Bus Lines on Travel Behavior of the Elderly
Authors: Zhi Li [email protected], Yuanchang Deng [email protected], Baohua Mao [email protected], and Qi Xu [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
With the rapid aging of the population in China, it is becoming increasingly important to study the travel behavior of elderly people. This paper focuses on the effect of the bus route’s land-use feature on the travel behavior of the elderly. The general spatial autoregressive models of the three bus lines (lines 16, 87, 651 in Beijing) were established and the regression analysis was conducted based on the smart card swiping data and the POI (points of interest) on Baidu Map. Results showed that when a POI of the Green Space and Square Land type is added to the service area of the three bus lines, the trips of the elderly increase. These figures illustrated that parklands are the main places where the elderly go for daily activities. This demonstrates the close relationship between the travel behavior of the elderly and land-use features along the bus lines.
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Published In
CICTP 2020
Pages: 4111 - 4121
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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Authors
Affiliations
1Guangdong Provincial Key Laboratory of Intelligent Transportation Systems, School of Intelligent Systems Engineering, Sun Yat-Sen Univ., P.O. Box 510275, No. 135, Xingang Xi Rd., Guangzhou, China. Email: [email protected]
2Guangdong Provincial Key Laboratory of Intelligent Transportation Systems, School of Intelligent Systems Engineering, Sun Yat-Sen Univ., P.O. Box 510275, No. 135, Xingang Xi Rd., Guangzhou, China. Email: [email protected]
3MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong Univ., P.O. Box 100044, No. 3, Shangyuancun, Haidian District, Beijing, China. Email: [email protected]
4MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong Univ., P.O. Box 100044, No. 3, Shangyuancun, Haidian District, Beijing, China. Email: [email protected]
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