Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data

Many cities around the world face the challenge of an aging population. A full understanding of the mobility behavior characteristics of the elderly is one necessary and urgent consideration as regards the current aging trend if sustainable urban development is to be fully realized. This paper prese...

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Main Authors: Zhicheng Shi, Lilian S. C. Pun-Cheng, Xintao Liu, Jianhui Lai, Chengzhuo Tong, Anshu Zhang, Min Zhang, Wenzhong Shi
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/12/751
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author Zhicheng Shi
Lilian S. C. Pun-Cheng
Xintao Liu
Jianhui Lai
Chengzhuo Tong
Anshu Zhang
Min Zhang
Wenzhong Shi
author_facet Zhicheng Shi
Lilian S. C. Pun-Cheng
Xintao Liu
Jianhui Lai
Chengzhuo Tong
Anshu Zhang
Min Zhang
Wenzhong Shi
author_sort Zhicheng Shi
collection DOAJ
description Many cities around the world face the challenge of an aging population. A full understanding of the mobility behavior characteristics of the elderly is one necessary and urgent consideration as regards the current aging trend if sustainable urban development is to be fully realized. This paper presents a systematic approach to analyzing the dynamic mobility characteristics of the elderly who travel by bus using smart card big data. The characteristics include temporal distribution, travel distance, travel duration, travel frequency, and also the spatial distribution of such travelers. The findings of these mobility characteristics can directly contribute to both public transport policy making, service, and management. In this study, the analytics of the elderly are also compared with that of the average adult group so as to identify both the similarities and differences between the two groups. Beijing, a megacity, with a very high life expectancy and in which the bus is the dominant mode of public transport for the elderly, was used as the study area. The significance of this research concerns a newly developed systematic approach that is able to analyze the dynamic mobility characteristics of the elderly using smart card data.
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spelling doaj.art-cbdaf3f82d5a4baa8d88b27f12741fee2023-11-21T00:51:04ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-12-0191275110.3390/ijgi9120751Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card DataZhicheng Shi0Lilian S. C. Pun-Cheng1Xintao Liu2Jianhui Lai3Chengzhuo Tong4Anshu Zhang5Min Zhang6Wenzhong Shi7The Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaCollege of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, ChinaThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, ChinaMany cities around the world face the challenge of an aging population. A full understanding of the mobility behavior characteristics of the elderly is one necessary and urgent consideration as regards the current aging trend if sustainable urban development is to be fully realized. This paper presents a systematic approach to analyzing the dynamic mobility characteristics of the elderly who travel by bus using smart card big data. The characteristics include temporal distribution, travel distance, travel duration, travel frequency, and also the spatial distribution of such travelers. The findings of these mobility characteristics can directly contribute to both public transport policy making, service, and management. In this study, the analytics of the elderly are also compared with that of the average adult group so as to identify both the similarities and differences between the two groups. Beijing, a megacity, with a very high life expectancy and in which the bus is the dominant mode of public transport for the elderly, was used as the study area. The significance of this research concerns a newly developed systematic approach that is able to analyze the dynamic mobility characteristics of the elderly using smart card data.https://www.mdpi.com/2220-9964/9/12/751elderly mobilitypublic transportsmart card dataspatiotemporal analytics
spellingShingle Zhicheng Shi
Lilian S. C. Pun-Cheng
Xintao Liu
Jianhui Lai
Chengzhuo Tong
Anshu Zhang
Min Zhang
Wenzhong Shi
Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
ISPRS International Journal of Geo-Information
elderly mobility
public transport
smart card data
spatiotemporal analytics
title Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
title_full Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
title_fullStr Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
title_full_unstemmed Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
title_short Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
title_sort analysis of the temporal characteristics of the elderly traveling by bus using smart card data
topic elderly mobility
public transport
smart card data
spatiotemporal analytics
url https://www.mdpi.com/2220-9964/9/12/751
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