TY - JOUR
T1 - Analysis of the temporal characteristics of the elderly traveling by bus using smart card data
AU - Shi, Zhicheng
AU - Pun-Cheng, Lilian S.C.
AU - Liu, Xintao
AU - Lai, Jianhui
AU - Tong, Chengzhuo
AU - Zhang, Anshu
AU - Zhang, Min
AU - Shi, Wenzhong
N1 - Funding Information:
Funding: This research was funded by the Hong Kong Polytechnic University (grant number: ZVN6) and Ministry of Science and Technology, National Key R&D Program of China (grant number: 2019YFB2103102).
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Elderly mobility
KW - Public transport
KW - Smart card data
KW - Spatiotemporal analytics
UR - http://www.scopus.com/inward/record.url?scp=85103100128&partnerID=8YFLogxK
U2 - 10.3390/ijgi9120751
DO - 10.3390/ijgi9120751
M3 - Journal article
AN - SCOPUS:85103100128
SN - 2220-9964
VL - 9
JO - ISPRS International Journal of Geo-Information
JF - ISPRS International Journal of Geo-Information
IS - 12
M1 - 751
ER -
