This page has only limited features, please log in for full access.
The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway autonomous vehicles is studied by combining the structural equation model and an artificial neural network. The structural equation model’s output variables are used as the input variables of the artificial neural network, which compensates for the linear problem of the structural equation model and ensures the accuracy of the input variables of the artificial neural network. In order to summarize the influencing factors of autonomous vehicles acceptance, the Unified Theory of Acceptance and Use of Technology model was expanded by adding two variables: risk expectation and consumer innovation. The results show that social influence is the strongest predictor of the acceptance of independent autonomous vehicles. The most significant factor of the cooperative vehicle-highway autonomous vehicles’ acceptance is effort expectation. Additionally, risks, performance, existing traffic conditions, and personal innovation awareness also significantly affect autonomous driving acceptance. The research results can provide a theoretical basis for technology developers and industry managers to develop autonomous driving technology and policymaking.
Shuang Zhang; Peng Jing; Gang Xu. The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles. Information 2021, 12, 346 .
AMA StyleShuang Zhang, Peng Jing, Gang Xu. The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles. Information. 2021; 12 (9):346.
Chicago/Turabian StyleShuang Zhang; Peng Jing; Gang Xu. 2021. "The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles." Information 12, no. 9: 346.
High-level autonomous vehicles (AVs) are likely to improve the quality of children’s travel to and from school (such as improve travel safety and increase travel mobility). These expected benefits will not be presented if parents are not willing to use AVs. Therefore, it is necessary to explore parents’ intentions of using AVs to transport children to and from school (parents’ intentions). This study has two primary aims: 1) Exploring parents’ intentions and their potential determinants. 2) Making recommendations for manufacturers to develop and market AVs suitable for school travel based on the research results. Research results show that face consciousness with Chinese characteristics can significantly affect parents’ intentions. Knowledge of AVs is the most significant factor in influencing parents’ intentions. Perceived usefulness, attitude towards school travel in AVs, and perceived risk can significantly affect parents’ intentions. The direct impact of perceived ease of use and public engagement on parents’ intentions is not significant. Finally, this research could provide decision-making support for governments and manufacturers to formulate relevant policies and marketing strategies, promoting parents’ acceptance of AVs.
Peng Jing; Liuyang Du; YueXia Chen; Yuji Shi; Fengping Zhan; Junping Xie. Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school. Accident Analysis & Prevention 2021, 152, 105991 .
AMA StylePeng Jing, Liuyang Du, YueXia Chen, Yuji Shi, Fengping Zhan, Junping Xie. Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school. Accident Analysis & Prevention. 2021; 152 ():105991.
Chicago/Turabian StylePeng Jing; Liuyang Du; YueXia Chen; Yuji Shi; Fengping Zhan; Junping Xie. 2021. "Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school." Accident Analysis & Prevention 152, no. : 105991.
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.
Security is one of the most critical factors influencing individuals’ mobility. Ensuring security along ride-hailing trips is also a fundamental challenge to service providers. After two cases of rape and homicide, Didi has rectified measures again to meet passengers’ need for security. However, there are few scientific findings concerning the impact of Didi rectified measures on personal perception of security. This study aims to explore critical latent factors that affect individuals’ intentions to use or reuse ride-hailing after the rectification of security measures. This paper examines individuals’ usage intentions by integrating and expanding both the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). Research results suggest that perceived security, security risk, and government credibility are correlated with the intentions to use or reuse ride-hailing. Importantly, perceived security and security risk both have a direct impact on behavioral intentions from a different perspective. In contrast, government credibility has an indirect effect. Hence, a mediating effect test is conducted. Government credibility could indirectly influence behavioral intention by affecting trust. Finally, this study verifies that the effectiveness of security measures could be evaluated and improved by studying the influence of latent factors on the intentions to use or reuse ride-hailing.
Peng Jing; Yuanyuan Chen; Xingyue Wang; Kewen Pan; Daibiao Yuan. Evaluating the effectiveness of Didi ride-hailing security measures: An integration model. Transportation Research Part F: Traffic Psychology and Behaviour 2020, 76, 139 -166.
AMA StylePeng Jing, Yuanyuan Chen, Xingyue Wang, Kewen Pan, Daibiao Yuan. Evaluating the effectiveness of Didi ride-hailing security measures: An integration model. Transportation Research Part F: Traffic Psychology and Behaviour. 2020; 76 ():139-166.
Chicago/Turabian StylePeng Jing; Yuanyuan Chen; Xingyue Wang; Kewen Pan; Daibiao Yuan. 2020. "Evaluating the effectiveness of Didi ride-hailing security measures: An integration model." Transportation Research Part F: Traffic Psychology and Behaviour 76, no. : 139-166.
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.
Autonomous vehicles (AVs) may have a transformative influence on transportation systems. AV use is expected to reduce crash, transport costs, and land use. However, the net effects of the autonomous vehicle are unknown because there are no fully-autonomous vehicles in reality. The simulation systems are indispensable to be built up not only for cost but also for obtaining massive data. An agent-based simulation is capable of simulating the entities in a complex system, such as the AV system. Considering the potential of agent-based models to complement existing models and the difficulty to understand, to duplicate and to compare different agent-based models, this paper review existing agent-based modeling of autonomous vehicles with the help of ODD protocol, which has been applied in the review of agent-based land-use change models and agricultural policy evaluation. The significant variables that researchers have taken into consideration in sensitivity analysis and in the different scenarios are explored in the paper. Fleet size is the primary variable researchers considered, and we also discussed the probable causes of different AV replacement rates. We have assessed the quality of reviewed articles to gain more acceptance from the agent-based modeling community. Most of the reviewed papers follow the ODD protocol of agent decision making. However, in order to improve the level of modeling transparency, the executable and related data shall be available, at least the data source and the programming language/simulation platform should be provided. Several recommendations for further research are also presented.
Peng Jing; Hanbin Hu; Fengping Zhan; YueXia Chen; Yuji Shi. Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review. IEEE Access 2020, 8, 79089 -79103.
AMA StylePeng Jing, Hanbin Hu, Fengping Zhan, YueXia Chen, Yuji Shi. Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review. IEEE Access. 2020; 8 (99):79089-79103.
Chicago/Turabian StylePeng Jing; Hanbin Hu; Fengping Zhan; YueXia Chen; Yuji Shi. 2020. "Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review." IEEE Access 8, no. 99: 79089-79103.
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.
Online car-hailing travel is an increasingly popular mode of urban transport. A fundamental understanding of the relationship between the urban built environment and online car-hailing travel is essential for developing the corresponding traffic strategy and addressing sustainable urban planning and design. However, the varying impact of the urban built environment on online car-hailing travel in the spatial dimension has not been sufficiently investigated. This paper aims to fill this gap by using geographically weighted regression (GWR) to check the spatial heterogeneity of the likely influence. The result shows that the GWR model is superior to the global model (OLS) from the perspective of goodness of fit. The study finds that the recreation and entertainment Point of Interest (POI) and the residential district POI are the most influential factors on night online car-hailing travel. Land-use mix is found to have a positive effect on online car-hailing travel, and online car-hailing services can be a complementary mode for public transport, especially in suburban areas.
Tian Li; Peng Jing; Linchao Li; Dazhi Sun; Wenbo Yan. Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China. Sustainability 2019, 11, 1336 .
AMA StyleTian Li, Peng Jing, Linchao Li, Dazhi Sun, Wenbo Yan. Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China. Sustainability. 2019; 11 (5):1336.
Chicago/Turabian StyleTian Li; Peng Jing; Linchao Li; Dazhi Sun; Wenbo Yan. 2019. "Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China." Sustainability 11, no. 5: 1336.
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.
In recent years, traffic congestion has become increasingly serious and the urban environment has deteriorated, posing a challenge to the modern sustainable transportation system. Sustainable travel behavior is a solution that many scholars recognize as being an important aspect in the development of socially, environmentally, and economically sustainable communities. Increasing numbers of studies analyzed the travel choice behavior based on Random Regret-Minimization (RRM) model. RRM considers multiple attribute compromises to capture the traveler’s choice behavior based on minimizing the perceived regret decision criteria. Travel route choice and travel mode choice are interrelated and mutual restraint when a traveler makes a travel decision. To our knowledge, there are limited literatures that overall considered travel mode and travel route choice behavior based on RRM at present. This paper aims to fill this gap and presents a literature review for the application of RRM on sustainable travel mode and travel route choice behavior from empirical issues, influencing factors, theories and methods to evaluate RRM’s potential and limitations as a discrete model of travel choice behavior. The results will provide reference for researchers to study this field and develop novel strategies to promote the sustainable traffic system in the future.
Peng Jing; Mengxuan Zhao; Meiling He; Long Chen. Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review. Sustainability 2018, 10, 1185 .
AMA StylePeng Jing, Mengxuan Zhao, Meiling He, Long Chen. Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review. Sustainability. 2018; 10 (4):1185.
Chicago/Turabian StylePeng Jing; Mengxuan Zhao; Meiling He; Long Chen. 2018. "Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review." Sustainability 10, no. 4: 1185.
In the last few years, the number of private cars has expanding quickly in China, more and more parents use cars to escort their children to school, thus cause serious traffic congestions near school in many cities. In this paper, we developed an agent-based model (ABM) of the parents’ choice of escort mode. The core of this model is an escort mode choice motivation adjustment function that combines distance, traffic safety and social influence. We also used ABM to exhibit the emergent decoy effect phenomenon, which is a dynamic phenomenon that the introduction of a decoy to the choice-set could increase the share of other alternatives. The model reveals the parents’ inner psychological mechanism when facing competing escort mode choice in transportation system. The simulation results show that the proportion of parents to choose bus escort was 62.45% without the decoy effect was introduced, while the proportion of parents to choose bus escort increased to 74.29% with the decoy effect was entry. The use of the ABM method gives the potential to cope with the dynamic changes in studying parent escort mode choice behavior.
Peng Jing; Qingku You; Long Chen. Agent-Based Simulation of Children’s School Travel Mode with Parental Escort Decisions. Information 2018, 9, 50 .
AMA StylePeng Jing, Qingku You, Long Chen. Agent-Based Simulation of Children’s School Travel Mode with Parental Escort Decisions. Information. 2018; 9 (3):50.
Chicago/Turabian StylePeng Jing; Qingku You; Long Chen. 2018. "Agent-Based Simulation of Children’s School Travel Mode with Parental Escort Decisions." Information 9, no. 3: 50.
Smart card data is increasingly used to investigate passenger behavior and the demand characteristics of public transport. The destination estimation of public transport is one of the major concerns for the implementation of smart card data. In recent years, numerous studies concerning destination estimation have been carried out—most automatic fare collection (AFC) systems only record boarding information but not passenger alighting information. This study provides a comprehensive review of the practice of using smart card data for destination estimation. The results show that the land use factor is not discussed in more than three quarters of papers and sensitivity analysis is not applied in two thirds of papers. In addition, the results are not validated in half the relevant studies. In the future, more research should be done to improve the current model, such as considering additional factors or making sensitivity analysis of parameters as well as validating the results with multi-source data and new methods.
Tian Li; Dazhi Sun; Peng Jing; Kaixi Yang. Smart Card Data Mining of Public Transport Destination: A Literature Review. Information 2018, 9, 18 .
AMA StyleTian Li, Dazhi Sun, Peng Jing, Kaixi Yang. Smart Card Data Mining of Public Transport Destination: A Literature Review. Information. 2018; 9 (1):18.
Chicago/Turabian StyleTian Li; Dazhi Sun; Peng Jing; Kaixi Yang. 2018. "Smart Card Data Mining of Public Transport Destination: A Literature Review." Information 9, no. 1: 18.
Travel to and from school can have social, economic, and environmental implications for students and their parents. Therefore, understanding school travel mode choice behavior is essential to find policy-oriented approaches to optimizing school travel mode share. Recent research suggests that psychological factors of parents play a significant role in school travel mode choice behavior and the Multiple Indicators and Multiple Causes (MIMIC) model has been used to test the effect of psychological constructs on mode choice behavior. However, little research has used a systematic framework of behavioral theory to organize these psychological factors and investigate their internal relationships. This paper proposes an extended theory of planned behavior (ETPB) to delve into the psychological factors caused by the effects of adults’ cognition and behavioral habits and explores the factors’ relationship paradigm. A theoretical framework of travel mode choice behavior for students in China is constructed. We established the MIMIC model that accommodates latent variables from ETPB. We found that not all the psychological latent variables have significant effects on school travel mode choice behavior, but habit can play an essential role. The results provide theoretical support for demand policies for school travel.
Peng Jing; Jing Wang; Long Chen; Qi-Fen Zha. Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China. Transportation Planning and Technology 2017, 41, 119 -137.
AMA StylePeng Jing, Jing Wang, Long Chen, Qi-Fen Zha. Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China. Transportation Planning and Technology. 2017; 41 (2):119-137.
Chicago/Turabian StylePeng Jing; Jing Wang; Long Chen; Qi-Fen Zha. 2017. "Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China." Transportation Planning and Technology 41, no. 2: 119-137.
With the unparalleled growth of motor vehicles, traffic accident between pedestrians and vehicles is one of the most serious issues in the word-wild. Plenty of injuries and fatalities are caused by the traffic accidents and crashes. The connected vehicular ad hoc network as an emerging approach which has the potential to reduce and even avoid accidents have been focused on by many researchers. A large number of car-to-pedestrian communication safety systems based on the vehicular ad hoc network are researching and developing. However, to our limited knowledge, a systematic review about the car-to-pedestrian communication safety system based on the vehicular ad-hoc network has not be written. The purpose and goal of this review is to systematically evaluate and access the reliability of car-to-pedestrian communication safety system based on the vehicular ad-hoc network environment and provide some recommendations for the future works according to throwing some light on the previous literatures. A quality evaluation was developed through established items and instruments tailored to this review. Future works are needed to focus on developing a valid as well as effective communication safety system based on the vehicular ad hoc network to protect the vulnerable road users.
Peng Jing; Wei Huang; Long Chen. Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review. Information 2017, 8, 127 .
AMA StylePeng Jing, Wei Huang, Long Chen. Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review. Information. 2017; 8 (4):127.
Chicago/Turabian StylePeng Jing; Wei Huang; Long Chen. 2017. "Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review." Information 8, no. 4: 127.
In the last few years, traffic congestion has become a growing concern due to increasing vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic signal control systems cannot adjust the timing pattern depending on road traffic demand. This results in excessive delays for road users. Adaptive traffic signal control in a connected vehicle environment has shown a powerful ability to effectively alleviate urban traffic congestions to achieve desirable objectives (e.g., delay minimization). Connected vehicle technology, as an emerging technology, is a mobile data platform that enables the real-time data exchange among vehicles and between vehicles and infrastructure. Although several reviews about traffic signal control or connected vehicles have been written, a systemic review of adaptive traffic signal control in a connected vehicle environment has not been made. Twenty-six eligible studies searched from six databases constitute the review. A quality evaluation was established based on previous research instruments and applied to the current review. The purpose of this paper is to critically review the existing methods of adaptive traffic signal control in a connected vehicle environment and to compare the advantages or disadvantages of those methods. Further, a systematic framework on connected vehicle based adaptive traffic signal control is summarized to support the future research. Future research is needed to develop more efficient and generic adaptive traffic signal control methods in a connected vehicle environment.
Peng Jing; Hao Huang; Long Chen. An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review. Information 2017, 8, 101 .
AMA StylePeng Jing, Hao Huang, Long Chen. An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review. Information. 2017; 8 (3):101.
Chicago/Turabian StylePeng Jing; Hao Huang; Long Chen. 2017. "An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review." Information 8, no. 3: 101.
Over the past couple of decades, global positioning system (GPS) technology has been utilized to collect large-scale data from travel surveys. As the precise spatiotemporal characteristics of travel could be provided by GPS devices, the issues of traditional travel survey, such as misreporting and non-response, could be addressed. Considering the defects of dedicated GPS devices (e.g., the need for a large sum of money to buy devices, forgetfulness in the taking of devices to collect data, limiting of the sample size because of the number of devices, etc.), and the fact that the smartphone is becoming one of the necessities of life, there is an opportunity for smartphones to replace dedicated GPS devices. Although several general reviews of GPS travel survey and GPS data-processing methods have been written, a systematic review of smartphone-based GPS data collection and travel mode detection has not be made.. The studies were collected from six databases. The purpose of this review is to critically evaluate the current literature on the existing methodologies of travel mode detection based on GPS raw data collected by smartphones. Meanwhile, according to a systematic comparison of the different methods of data preprocessing for travel mode detection, this paper details the strengths and weaknesses of the existing methods. Furthermore, it is a very important step towards developing methodologies and applications for GPS raw data collected by smartphones.
Linlin Wu; Biao Yang; Peng Jing. Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies. Information 2016, 7, 67 .
AMA StyleLinlin Wu, Biao Yang, Peng Jing. Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies. Information. 2016; 7 (4):67.
Chicago/Turabian StyleLinlin Wu; Biao Yang; Peng Jing. 2016. "Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies." Information 7, no. 4: 67.
To research the systematized impacts of psychological factors on travel mode choice behavior, the paper constructed three multiple indicators and multiple causes (MIMIC) models for motorcycle, bus and car, according to the expanded theory of planned behavior (TPB) including a variety of psychological factors with respect to commuter mode choice behavior. The fitted values of latent variables from estimation of MIMIC as explanatory independent variables were induced into the conditional logit model (CLM), which is often called a hybrid choice model (HCM). The empirical data were collected and used to compare the difference influences of parameters between the traditional discrete choice model (DCM) and HCM. The results indicated that not all of the psychological latent variables have significant effects on mode choice behavior. The outcome of estimation of HCM has a higher degree of fit and much more robust predictions than the traditional DCM without latent variables.
Peng Jing; Zhi-Cai Juan; Qi-Fen Zha. Effects of Incorporating the Extended Theory of Planned Behavior in a Mode Choice Model. CICTP 2015 2015, 3682 -3693.
AMA StylePeng Jing, Zhi-Cai Juan, Qi-Fen Zha. Effects of Incorporating the Extended Theory of Planned Behavior in a Mode Choice Model. CICTP 2015. 2015; ():3682-3693.
Chicago/Turabian StylePeng Jing; Zhi-Cai Juan; Qi-Fen Zha. 2015. "Effects of Incorporating the Extended Theory of Planned Behavior in a Mode Choice Model." CICTP 2015 , no. : 3682-3693.
The traffic state of the urban road network is determined by travelers choices of travel modes and routes. With the development of science and technology, people tend to have more travel choices and their distinctive temperaments often lead to different choices even in the same situation. Therefore, a study of different factors that may affect peoples travel choices plays a crucial role in the optimization of the traffic system. Focusing on the four major travel modes between Minhang campus and Xuhui campus of Shanghai Jiao Tong University (SJTU) in Shanghai, China, this paper tries to gather the information of the factors that affect travel choices and the extent of such effects both in general cases and when prior information is given by means of questionnaires. Based on data processing, the paper draws pie charts on the travel choices under different circumstances and makes a qualitative analysis of the influential factors. Then, a quantitative analysis is made by using the models of utility function and linear programming. Finally, in contrast with the results, the paper finds out the extent of the effect of travel information on the choice of travel modes and routes of the travelers with different temperaments.
Linjie Gao; Zhicai Juan; Anning Ni; Peng Jing. The Effect of Travel Information on Travelers’ Choice of Travel Modes and Routes: A Case Study of the Travel between the Campuses. Mathematical Problems in Engineering 2014, 2014, 1 -9.
AMA StyleLinjie Gao, Zhicai Juan, Anning Ni, Peng Jing. The Effect of Travel Information on Travelers’ Choice of Travel Modes and Routes: A Case Study of the Travel between the Campuses. Mathematical Problems in Engineering. 2014; 2014 (1):1-9.
Chicago/Turabian StyleLinjie Gao; Zhicai Juan; Anning Ni; Peng Jing. 2014. "The Effect of Travel Information on Travelers’ Choice of Travel Modes and Routes: A Case Study of the Travel between the Campuses." Mathematical Problems in Engineering 2014, no. 1: 1-9.
Congestion in intercity corridors of metropolitan area has been increasing steadily. To alleviate congestion, many major investment projects, such as the high speed railway projects, were proposed by agency. To evaluate the adequacy and efficiency of these projects, the intercity travel behavior should be analyzed in metropolitan area. The paper constructed a Multiple Indicators and Multiple Causes (MIMIC) model according to an expanded theory of planned behavior (TPB) to study the travel behavior of choosing from the choice set of the traditional train, the high speed railway and the coach by demographic and psychological factors. Through empirical data collection and analysis, we found that demographic factors of travelers indeed positively engender the latent variables in MIMIC, and descriptive norm and habit had direct or indirect significant effect on travel behavior and intention. On the basis of the effect of psychological constructors of the expanded TPB on the intercity travel behavior and differentiation of traveler's demographic characteristics, the agency can make reasonable policies and proper information for the intercity transportation. The results will support the basic theory of optimizing the transportation system in metropolitan area. Implications for researchers and suggestions for future research are also addressed in this study.
Jing Peng; Juan Zhi-Cai; Gao Lin-Jie. Application of the Expanded Theory of Planned Behavior in Intercity Travel Behavior. Discrete Dynamics in Nature and Society 2014, 2014, 1 -10.
AMA StyleJing Peng, Juan Zhi-Cai, Gao Lin-Jie. Application of the Expanded Theory of Planned Behavior in Intercity Travel Behavior. Discrete Dynamics in Nature and Society. 2014; 2014 (2):1-10.
Chicago/Turabian StyleJing Peng; Juan Zhi-Cai; Gao Lin-Jie. 2014. "Application of the Expanded Theory of Planned Behavior in Intercity Travel Behavior." Discrete Dynamics in Nature and Society 2014, no. 2: 1-10.