Research progress of travel behavior characteristics ofelderly people based on knowledge graph(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2021年4期
- Page:
- 101-114
- Research Field:
- 交通工程
- Publishing date:
Info
- Title:
- Research progress of travel behavior characteristics ofelderly people based on knowledge graph
- Author(s):
- YAN Hai1; JIN Ruixin1; LI Tao2
- (1. Beijing Key Laboratory of Traffic Engineering， Beijing University of Technology, Beijing 100124, China；2. Research Institute of Highway Ministry of Transport, Beijing 100088, China)
- Keywords:
- traffic engineering; travel behavior; review; elderly people; knowledge graph; traffic strategy
- PACS:
- -
- DOI:
- -
- Abstract:
- In order to fully understand the current research progress of travel behavior characteristics of elderly people, knowledge graph analysis combined with traditional literature research were used. Through the Web of Science Core Collection database and CNKI database, 303 articles in Chinese literature and 306 articles in English literature were obtained, on the travel of elderly people and published between 1993 and 2020(up to 16th August, 2020). The current research of travel of elderly people in the past 10 years were focused, and the knowledge graph was used to show the development process and frontier hotspots. Based on keyword graph, the results of the existing research were summarized from three aspects, including models using multivariate data, analysis of travel behavior characteristics of elderly people, and strategies to ensure or promote the travel of elderly people. The results show that concerning data type, the research mostly uses data of trip surveys with insufficient analysis of big data and limited use of opensource or multisource data. Many descriptive statistical methods or mathematical models are used for the selection of research methods and models, but there is a lack of comprehensive analysis from a multidisciplinary perspective. In terms of the analysis of travel behavior characteristics, the research on flexible transportation services and emerging travel modes are relatively scant. Moreover, the research on influencing factors mostly focuses on socialdemographic factors and built environment factors that can be directly observed, relatively less attention is put on latent variable factors such as psychological factors. Besides, the strategies are summarized into three aspects, spatial planning, transportation planning, and policy. Further find that strategies such as intelligent and refined traffic demand management are lacking. Future research can start from different social dimensions that based on Chinas national conditions to study the travel needs of the elderly. A comprehensive and accurate analysis of the travel behavior characteristics of the elderly require the integration of multisource data through diversified methods. The results of the analysis can provide a basis for the improvement and formulation of humanized strategies for improving the travel of the elderly. 5 figs, 55 refs.
Last Update: 2021-08-12