Evidence-based practices in sustainable travel behavior intervention: A knowledge graph-based systematic review

作     者：Jian Li Chenjie Xu 

作者机构：Key Laboratory of Road and Traffic Engineering of the Ministry of EducationCollege of Transportation EngineeringTongji UniversityShanghai 201804China 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2024年第11卷第2期

页      面：293-311页

核心收录：

学科分类：12[管理学] 1205[管理学-图书情报与档案管理] 120203[管理学-旅游管理] 1202[管理学-工商管理] 0814[工学-土木工程] 0823[工学-交通运输工程] 

基　　金：supported by the Science and Technology Commission of Shanghai Municipal under Grant 22511104200 the Fundamental Research Funds for the Central Universities under No.2022-5-YB-02. 

主　　题：Evidence-based decision-making Evidence assessment Knowledge graph Travel behavior intervention Sustainable travel 

摘      要：Sustainable travel behavior intervention is an essential strategy to promote the development of urban transportation.The interventions offer personalized strategies based on certain scenario and participants to promote its effectiveness over hard travel restrictions.However,personalized strategies may also bring about difficulties to identify the actual effect of the measures.Furthermore,based on current practice,to make full use of travel behavior interventions,it is necessary to construct a unified methodological evidencebased framework to assess the reliability and effectiveness of travel behavior intervention studies.In response to these issues,we applied evidence-based knowledge graph to the field of sustainable travel behavior interventions to help decision supporters design sustainable travel behavior interventions wisely and in turn avoid excessive use of hard travel restrictions.We introduced concept of evidence-based practice to conduct a systematic analysis concerning reliability and validity of current full volume empirical studies by dimensions of scenarios,types of interventions and targets.In addition,we took advantage of high extensivity and integrability of knowledge graph to organize evidence-based related elements.Result of the systematic analysis shows that in terms of reliability of evidence,school intervention is the best scenario,knowledge incentive is the best intervention type and promoting public transit and walking proportion are the best targets.Oppositely,the reliability of interventions in workplace,belonging to reward and threat along with aiming at changing travel patterns generally and lowering travel carbon emission need to be enhanced.From the study,various research prospects are raised to promote evidence quality in the field of travel behavior intervention implementation.As a pioneer study,our research contributes to the field of urban transportation in introducing concepts of evidence-based practice and enabling optimization and extension of our achievement via the usage of knowledge graph,enhancing reliability and objectivity in urban transportation decision-making.