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Due to the elderly’s limited physical ability, their mode choice behavior with particular demand for the traffic system is significantly distinguished compared to young people. The emergence of Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) will allow the elderly to travel independently and offer more mode choices. However, emerging vehicles will continue to coexist with other traditional modes such as public transport. This paper aims to explore the internal mechanism of the elderly’s choice behavior among public transport, AVs, and SAVs. We integrated the relevant factors by expanding the ecological model and used the Multiple Indicators and Multiple Causes (MIMIC) model to analyze the constructs’ relationship. The results show that the elderly believe that public transport, AVs, and SAVs are useful and convenient travel modes for themselves, affecting intention significantly. In addition, the elderly’s well-being and social influence during travel are also significant constructs for their behavioral intention. The research could provide academic supports for the traffic management departments when making relevant policies and measures for the elderly.
Huiqian Sun; Peng Jing; Mengxuan Zhao; YueXia Chen; Fengping Zhan; Yuji Shi. Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model. Sustainability 2020, 12, 10661 .
AMA StyleHuiqian Sun, Peng Jing, Mengxuan Zhao, YueXia Chen, Fengping Zhan, Yuji Shi. Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model. Sustainability. 2020; 12 (24):10661.
Chicago/Turabian StyleHuiqian Sun; Peng Jing; Mengxuan Zhao; YueXia Chen; Fengping Zhan; Yuji Shi. 2020. "Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model." Sustainability 12, no. 24: 10661.
Accessibility is a key concept in the field of transportation, and there is a rich amount of reviews available on this topic which concentrate on certain perspectives. However, none of them presents a comprehensive and quantitative overview on accessibility-related publications. To fill this gap, this study reviewed two decades of publications (during 2000–2019) drawn from Web of Science (WoS), and aims to figure out the evolution pathway of accessibility related studies so that future research directions can be recognized. By employing the bibliometric analysis techniques, this study provides the potential to trace historical and geographic trends at global level, covering leading journals and institutions, keywords characteristics, citation network analysis, and a qualitative review of the most influential papers. The output results show that there is an increasing geographic spread along with the growth spurt of research publications on the topic of accessibility especially since 2010s. Both the keywords' characteristics and citation network analysis help to identify research hot points, categorized as new indicators development and accessibility-based applications. Finally, this paper highlights the need for further studies for those two hot points respectively. It is hoped the results output here could benefit researchers engaging in this field to sharpen their own future research directions, and provide practitioners with a greater understanding of the various types of accessibility metrics and help them to identify the most appropriate practice for their specific situation.
Yuji Shi; Simon Blainey; Chao Sun; Peng Jing. A literature review on accessibility using bibliometric analysis techniques. Journal of Transport Geography 2020, 87, 102810 .
AMA StyleYuji Shi, Simon Blainey, Chao Sun, Peng Jing. A literature review on accessibility using bibliometric analysis techniques. Journal of Transport Geography. 2020; 87 ():102810.
Chicago/Turabian StyleYuji Shi; Simon Blainey; Chao Sun; Peng Jing. 2020. "A literature review on accessibility using bibliometric analysis techniques." Journal of Transport Geography 87, no. : 102810.
Excessive dependence on autonomous vehicles (AVs) may exacerbate traffic congestion and increase exhaust emissions in the future. The diffusion of AVs may be significantly affected by the public’s acceptance. A few factors that may affect people’s acceptance of AVs have been researched in the existing studies, one-third of which cited behavioral theories, while the rest did not. A total of seven factors with behavior theories are screened out that significantly affect the acceptance intention, including perceived ease of use, attitude, social norm, trust, perceived usefulness, perceived risk, and compatibility. Six factors without behavior theories are summed up that affect AV acceptance, namely safety, performance-to-price value, mobility, value of travel time, symbolic value, and environmentally friendly. We found that people in Europe and Asia have substantial differences in attitudes toward AVs and that safety is one of the most concerned factors of AVs by scholars and respondents. Public acceptance of the different types of AVs and consumers’ dynamic preferences for AVs are highlighted in the review too. The quality of literature is systematically assessed based on previously established instruments and tailored for the current review. The results of the assessment show potential opportunities for future research, such as the citation of behavior theories and access to longitudinal data. Additionally, the experimental methods and the utilization of mathematical and theoretical methods could be optimized.
Peng Jing; Gang Xu; YueXia Chen; Yuji Shi; Fengping Zhan. The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review. Sustainability 2020, 12, 1719 .
AMA StylePeng Jing, Gang Xu, YueXia Chen, Yuji Shi, Fengping Zhan. The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review. Sustainability. 2020; 12 (5):1719.
Chicago/Turabian StylePeng Jing; Gang Xu; YueXia Chen; Yuji Shi; Fengping Zhan. 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review." Sustainability 12, no. 5: 1719.
A deep understanding of the behavior of travel mode choice can provide a theoretical basis for alleviating the negative impact on the environment due to the growth of car ownership. However, the existing reviews of travel mode choices are based on specific research angles and do not provide a comprehensive perspective from the entire field. This article collects 19 years (2000–2018) of publications about travel mode choice, drawn from six databases, which were subjected to bibliometric analysis and social network analysis. It can be seen from the research results that the number of publications increases gradually and the United States, China, and the United Kingdom make more contributions to academic cooperation. Through literature coupling analysis, 6 clusters were obtained, which were school trip/policy, elderly, geography, ecology/psychology/habit, travel satisfaction, and university student travel, respectively. The five essential elements, research subject, travel mode, factors, purposes, and methods, are revealed by content analysis. Finally, the keyword distribution shows the current research hotspots and provides future research directions.
Linlin Wu; Wei Wang; Peng Jing; YueXia Chen; Fengping Zhan; Yuji Shi; Tian Li. Travel mode choice and their impacts on environment—a literature review based on bibliometric and content analysis, 2000–2018. Journal of Cleaner Production 2019, 249, 119391 .
AMA StyleLinlin Wu, Wei Wang, Peng Jing, YueXia Chen, Fengping Zhan, Yuji Shi, Tian Li. Travel mode choice and their impacts on environment—a literature review based on bibliometric and content analysis, 2000–2018. Journal of Cleaner Production. 2019; 249 ():119391.
Chicago/Turabian StyleLinlin Wu; Wei Wang; Peng Jing; YueXia Chen; Fengping Zhan; Yuji Shi; Tian Li. 2019. "Travel mode choice and their impacts on environment—a literature review based on bibliometric and content analysis, 2000–2018." Journal of Cleaner Production 249, no. : 119391.
This paper proposes a subnetwork origin-destination (OD) matrix estimation model under travel demand constraints (SME-DC) that explicitly considers both internal-external subnetwork connections and OD demand consistency between the subnetwork and full network. This new model uses the maximum entropy of OD demands as the objective function and uses the total traffic generations (attractions) along with some fixed OD demands of the subnetwork OD nodes as the constraints. The total traffic generations and attractions along with the fixed OD demands of the subnetwork OD nodes are obtained through an OD node transformation and subnetwork topology analysis. For solving the proposed model, a convex combination method is used to convert the nonlinear SME-DC to the classical linear transportation problem, and a tabular method is used to solve the transportation problem. The Sioux Falls network and Kunshan network were provided to illustrate the essential ideas of the proposed model and the applicability of the proposed solution algorithm.
Chao Sun; Yulin Chang; Yuji Shi; Lin Cheng; Jie Ma. Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints. Networks and Spatial Economics 2019, 19, 1123 -1142.
AMA StyleChao Sun, Yulin Chang, Yuji Shi, Lin Cheng, Jie Ma. Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints. Networks and Spatial Economics. 2019; 19 (4):1123-1142.
Chicago/Turabian StyleChao Sun; Yulin Chang; Yuji Shi; Lin Cheng; Jie Ma. 2019. "Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints." Networks and Spatial Economics 19, no. 4: 1123-1142.
Autonomous vehicle (AV) is an innovative transport option that has the potential to disrupt all industries tied to transportation systems. The advent of AV technology will bring a novel on-demand mobility pattern such as shared autonomous vehicle (SAV). To promote AV technology, it is important to understand which factors influence travelers’ intention to use AVs and SAVs. This paper collected literature from databases such as Scopus, Web of Science and ScienceDirect, and made a systematic review. The study aims to explore the determinants that influence travelers’ behavioral intentions towards use AVs and SAVs based on an extended version of the theory of planned behavior, which incorporates knowledge and perceived risk. This study was tested empirically using a valid survey sample collected from 906 respondents in China. Structural equation model was conducted to investigate the predictors of intentions to use AVs and SAVs. Results showed that knowledge about AV technology and perceived risk are the two main potential obstacles for travelers to use AVs and SAVs. Attitude significantly affects AVs and SAV choice intentions. Subjective norm is the most critical factor affecting the travelers’ intention to use AVs. Perceived behavioral control potentially stymie the travelers’ intention to use SAVs. The findings will enhance the understanding of travelers’ choice motivation from psychological and service perspectives, and provide data support for governments and companies in improving travel management strategies and product services.
Peng Jing; Hao Huang; Bin Ran; Fengping Zhan; Yuji Shi. Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China. Sustainability 2019, 11, 1155 .
AMA StylePeng Jing, Hao Huang, Bin Ran, Fengping Zhan, Yuji Shi. Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China. Sustainability. 2019; 11 (4):1155.
Chicago/Turabian StylePeng Jing; Hao Huang; Bin Ran; Fengping Zhan; Yuji Shi. 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China." Sustainability 11, no. 4: 1155.