Traffic congestion has become a critical issue in developing countries,as it tends to increase social costs in terms of travel cost and time,energy consumption and environmental degradation.With limited resources,redu...Traffic congestion has become a critical issue in developing countries,as it tends to increase social costs in terms of travel cost and time,energy consumption and environmental degradation.With limited resources,reducing travel demand by influencing individuals’ travel behavior can be a better long-term solution.To achieve this objective,alternate travel options need to be provided so that people can commute comfortably and economically.This study aims to identify key motives and constraints in the consideration of carpooling policy with the help of stated preference questionnaire survey that was conducted in Lahore City.The designed questionnaire includes respondents’ socioeconomic demographics,and intentions and stated preferences on carpooling policy.Factor analysis was conducted on travelers’ responses,and a structural model was developed for carpooling.Survey and modeling results reveal that social,environmental and economic benefits,disincentives on car use,preferential parking treatment for carpooling,and comfort and convenience attributes are significant determinants in promoting carpooling.However,people with strong belief in personal privacy,security,freedom in traveling and carpooling service constraints would have less potential to use thecarpooling service.In addition,pro-auto and pro-carpooling attitudes,marital status,profession and travel purpose for carpooling are also underlying factors.The findings implicate that to promote carpooling policy it is required to consider appropriate incentives on this service and disincentives on use of private vehicle along with modification of people’s attitudes and intentions.展开更多
Urban traffic congestion is a severe and widely studied problem over the decade because of the negative impacts. However, in recent years some approaches emerge as proper and suitable solutions. The Carpooling initiat...Urban traffic congestion is a severe and widely studied problem over the decade because of the negative impacts. However, in recent years some approaches emerge as proper and suitable solutions. The Carpooling initiative is one of the most representative efforts to propitiate a responsible use of particular vehicles. Thus, the paper introduces a carpooling model considering the users’ preference to reach an appropriate match among drivers and passengers. In particular, the paper conducts a study of 6 of the most avid classified techniques in machine learning to create a model for the selection of travel companions. The experimental results show the models’ precision and assess the best cases using Friedman’s test. Finally, the conclusions emphasize the relevance of the proposed study and suggest that it is necessary to extend the proposal with more drives and passengers’ data.展开更多
With the rapid development of intelligent transportation, carpooling with the help of Vehicular Networks plays an important role in improving transportati<span>on efficiency and solving environmental problems. H...With the rapid development of intelligent transportation, carpooling with the help of Vehicular Networks plays an important role in improving transportati<span>on efficiency and solving environmental problems. However, attackers us</span>ually launch attacks and cause privacy leakage of carpooling users. In addition, the trust issue between unfamiliar vehicles and passengers reduces the efficiency of carpooling. To address these issues, this paper introduced a trusted and pr<span>ivacy-preserving carpooling matching scheme in Vehicular Networks (T</span>PCM). TPC<span>M scheme introduced travel preferences during carpooling matching, according to the passengers’ individual travel preferences needs, which adopt</span>ed th<span>e privacy set intersection technology based on the Bloom filter to match t</span>he passengers with the vehicles to achieve the purpose of protecting privacy an<span>d meeting the individual needs of passengers simultaneously. TPCM sch</span>eme adopted a multi-faceted trust management model, which calculated the trust val<span>ue of different travel preferences of vehicle based on passengers’ carp</span>ooling feedback to evaluate the vehicle’s trustworthiness from multi-faceted when carpooling matching. Moreover, a series of experiments were conducted to verify the effectiveness and robustness of the proposed scheme. The results show that the proposed scheme has high accuracy, lower computational and communication costs when compared with the existing carpooling schemes.展开更多
Carpooling is a sustainable,economical,and environmentally friendly solution to reduce air pollution and ease traffic congestion in urban areas.However,existing regret theories lack consideration of the heterogeneity ...Carpooling is a sustainable,economical,and environmentally friendly solution to reduce air pollution and ease traffic congestion in urban areas.However,existing regret theories lack consideration of the heterogeneity of attribute perception in different ways and the psychological factors that affect regret,so they cannot accurately portray urban residents’carpool travel decisions and cannot provide a correct explanation of the actual carpool choice behavior.In this paper,based on the analysis of classical random regret minimization models and random regret minimization models considering heterogeneity,the concept of psychological distance is introduced to address shortcomings of the existing models and construct an improved random regret minimization model considering heterogeneity and psychological distance.The results show that the fit and explanatory effect of the improved model proposed in this paper is better than that of the other two models.The psychological distance of travel residents during the Corona Virus Disease 2019(COVID-19)affects the anticipated regret value and the willingness to carpool.The model can better describe the carpool travel choice mechanism of travelers and effectively explain the carpool travel choice behavior of travelers.展开更多
Carpooling has emerged as a highly efficient method for mitigating traffic congestion.By strategically consolidating multiple travelers into fewer vehicles,carpooling substantially cuts down the overall number of vehi...Carpooling has emerged as a highly efficient method for mitigating traffic congestion.By strategically consolidating multiple travelers into fewer vehicles,carpooling substantially cuts down the overall number of vehicles on the road.However,the effectiveness of a car-pooling system highly depends on the proportion of interested users who can be success-fully matched and the amount of benefits users gain from these matches.This paper develops analytical models to estimate these metrics for a carpooling system that serves a many-to-one demand pattern,in which travelers share the same basic destination but travel from different origins.Two distinct scenarios are incorporated in the models:one where users have a preferred role as a driver or rider and another in which they are ambivalent between the two roles.The models provide the system’s expected match rate and average user surplus as a function of the network size,number of users,and travel costs.Different from previous studies,the proposed models developed here consider that users only participate in trips beneficial to them from a cost perspective,rather than assuming fixed detours.This allows for matching incorporating spatial and financial con-siderations,promising flexible and rational matches in carpool systems.Simulation tests are used to validate the effectiveness of the analytical models.Results also offer insights into how various factors impact the system’s performance.展开更多
Although the pick-up/drop-off(PUDO)strategy in carpooling offers the convenience of short-distance walking for passengers during boarding and disembarking,there is a noticeable hesitancy among commuters to adopt this ...Although the pick-up/drop-off(PUDO)strategy in carpooling offers the convenience of short-distance walking for passengers during boarding and disembarking,there is a noticeable hesitancy among commuters to adopt this travel method,despite its numerous benefits.Here,this paper establishes a tripartite evolutionary game theory(EGT)model to verify the evolutionary stability of choosing the PUDO strategy of drivers and passengers and offering subsidies strategy of carpooling platforms in carpooling system.The model presented in this paper serves as a valuable tool for assessing the dissemination and implementation of PUDO strategy and offering subsidies strategy in carpooling applications.Subsequently,an empirical analysis is conducted to examine and compare the sensitivity of the parameters across various scenarios.The findings suggest that:firstly,providing subsidies to passengers and drivers,along with deductions for drivers through carpooling platforms,is an effective way to promote wider adoption of the PUDO strategy.Then,the decision-making process is divided into three stages:initial stage,middle stage,and mature stage.PUDO strategy progresses from initial rejection to widespread acceptance among drivers in the middle stage and,in the mature stage,both passengers and drivers tend to adopt it under carpooling platform subsidies;the factors influencing the costs of waiting and walking times,as well as the subsidies granted to passengers,are essential determinants that require careful consideration by passengers,drivers,and carpooling platforms when choosing the PUDO strategy.Our work provides valuable insight into the PUDO strategy’s applicability and the declared results provide implications for traffic managers and carpooling platforms to offer a suitable incentive.展开更多
As a sustainable mode of travel,carpooling is an effective solution to environmental and energy problems,but it has not been fully utilized.The research on carpooling attitudes,especially for college students,still ne...As a sustainable mode of travel,carpooling is an effective solution to environmental and energy problems,but it has not been fully utilized.The research on carpooling attitudes,especially for college students,still needs to be improved.In response to this problem,this paper aims to investigate the effect of personal attributes,travel attributes,attitude attributes and other attributes of students on carpooling attitudes in China.To collect the data,an online questionnaire survey was implemented at Shenzhen University,and 514 students participated.Based on the samples,the multinomial logit model is used to explore the contribution of all variables.The model results showed that personal attributes such as sex and age had no significant effect on the attitude of college students towards carpooling.The safety of carpooling and its high cost make college students have a neutral attitude towards it.The most concerning factor for college students in carpooling is comfort.These findings can provide valuable suggestions for measures to be taken in response to different attributes affecting students’attitudes and are particularly important for the university and government to make optimal decisions to motivate students to select carpooling.展开更多
In the light of the increasingly severe traffic congestion in the city, the rising number of private cars on the road and the low occupancy rate of those cars, this paper explores the current legal obstacles to carpoo...In the light of the increasingly severe traffic congestion in the city, the rising number of private cars on the road and the low occupancy rate of those cars, this paper explores the current legal obstacles to carpooling and proposes "neighborhood carpooling" as an innovative mobility project aimed at alleviating traffic pressure in the areas around residential districts and reducing the use of private cars. The paper begins by introducing the preparatory investigation, consultation and scheme design process, and then elaborates on the series of measures undertaken to ensure that the project runs smoothly, including the formulation and distribution of the proposal, establishment of carpooling stations, registration and management of carpooling information, signing of the voluntary undertakings, design of the carpooling stickers and encouragement of public participation through the media. The analysis of different data on the actual practice of carpooling and the results of the media survey shows that the "neighborhood carpooling" project can indeed reduce private car use and has achieved certain social benefits through media publicity. Finally, the paper points out that with the guarantee of the two-level management system involving the community administrative committee and the residents’ committees, effective community organization is the key to the successful operation of the project.展开更多
目前网约车拼车服务存在响应不及时、乘客舒适度低等现象,亟需对拼车路线及求解算法进行优化。本文首先考虑路网条件及时间窗阈值影响,以网约车运行成本与乘客出行成本最小化为目标,构建基于双向线路的网约车拼车优化模型("one-to-...目前网约车拼车服务存在响应不及时、乘客舒适度低等现象,亟需对拼车路线及求解算法进行优化。本文首先考虑路网条件及时间窗阈值影响,以网约车运行成本与乘客出行成本最小化为目标,构建基于双向线路的网约车拼车优化模型("one-to-many"online car-hailing carpooling model under multiple constraints)。其次以遗传算法为基础,结合模拟退火温度调控机制,改进适应度评价和接受准则,提出混合遗传-模拟退火算法(hybrid genetic-simulated annealing algorithm,H-GASA)。最后以呼和浩特东站及其周围交通网络为例进行实例验证。实验结果表明,与其他算法相比,H-GASA算法在多种时间窗下均能有效降低乘客出行时间和车辆运营成本。此外,H-GASA算法得到的网约车拼车服务问题求解方案更优,收敛曲线更平缓,效率更高,验证了H-GASA在克服遗传算法过快收敛问题上的有效性。展开更多
针对影响互联网拼车的因素,选择某拼车网站为数据来源,采用回归分析和试验设计(De-sign of Experiment,DOE)方法,分析影响网上拼车行为的因素及其对实际拼车成功和拼车申请人数的影响强度.结果表明,拼车信息回复数和点击数对拼车成功率...针对影响互联网拼车的因素,选择某拼车网站为数据来源,采用回归分析和试验设计(De-sign of Experiment,DOE)方法,分析影响网上拼车行为的因素及其对实际拼车成功和拼车申请人数的影响强度.结果表明,拼车信息回复数和点击数对拼车成功率有正面影响;对于拼车网站而言,可以采取适当的鼓励措施提高点击数和回复数,从而增强网站活跃度;从社会整体而言,提高拼车参与率更需要有相关政策的支持.展开更多
基金conducted at University of Engineering and Technology Lahore with support of Department of Transportation Engineering and Management Department
文摘Traffic congestion has become a critical issue in developing countries,as it tends to increase social costs in terms of travel cost and time,energy consumption and environmental degradation.With limited resources,reducing travel demand by influencing individuals’ travel behavior can be a better long-term solution.To achieve this objective,alternate travel options need to be provided so that people can commute comfortably and economically.This study aims to identify key motives and constraints in the consideration of carpooling policy with the help of stated preference questionnaire survey that was conducted in Lahore City.The designed questionnaire includes respondents’ socioeconomic demographics,and intentions and stated preferences on carpooling policy.Factor analysis was conducted on travelers’ responses,and a structural model was developed for carpooling.Survey and modeling results reveal that social,environmental and economic benefits,disincentives on car use,preferential parking treatment for carpooling,and comfort and convenience attributes are significant determinants in promoting carpooling.However,people with strong belief in personal privacy,security,freedom in traveling and carpooling service constraints would have less potential to use thecarpooling service.In addition,pro-auto and pro-carpooling attitudes,marital status,profession and travel purpose for carpooling are also underlying factors.The findings implicate that to promote carpooling policy it is required to consider appropriate incentives on this service and disincentives on use of private vehicle along with modification of people’s attitudes and intentions.
文摘Urban traffic congestion is a severe and widely studied problem over the decade because of the negative impacts. However, in recent years some approaches emerge as proper and suitable solutions. The Carpooling initiative is one of the most representative efforts to propitiate a responsible use of particular vehicles. Thus, the paper introduces a carpooling model considering the users’ preference to reach an appropriate match among drivers and passengers. In particular, the paper conducts a study of 6 of the most avid classified techniques in machine learning to create a model for the selection of travel companions. The experimental results show the models’ precision and assess the best cases using Friedman’s test. Finally, the conclusions emphasize the relevance of the proposed study and suggest that it is necessary to extend the proposal with more drives and passengers’ data.
文摘With the rapid development of intelligent transportation, carpooling with the help of Vehicular Networks plays an important role in improving transportati<span>on efficiency and solving environmental problems. However, attackers us</span>ually launch attacks and cause privacy leakage of carpooling users. In addition, the trust issue between unfamiliar vehicles and passengers reduces the efficiency of carpooling. To address these issues, this paper introduced a trusted and pr<span>ivacy-preserving carpooling matching scheme in Vehicular Networks (T</span>PCM). TPC<span>M scheme introduced travel preferences during carpooling matching, according to the passengers’ individual travel preferences needs, which adopt</span>ed th<span>e privacy set intersection technology based on the Bloom filter to match t</span>he passengers with the vehicles to achieve the purpose of protecting privacy an<span>d meeting the individual needs of passengers simultaneously. TPCM sch</span>eme adopted a multi-faceted trust management model, which calculated the trust val<span>ue of different travel preferences of vehicle based on passengers’ carp</span>ooling feedback to evaluate the vehicle’s trustworthiness from multi-faceted when carpooling matching. Moreover, a series of experiments were conducted to verify the effectiveness and robustness of the proposed scheme. The results show that the proposed scheme has high accuracy, lower computational and communication costs when compared with the existing carpooling schemes.
基金the National Natural Science Foundation of China(No.52062026)the Educational Commission of Gansu Province of China(No.2019A-041)the Double-First Class Major Research Programs of Educational Department of Gansu Province(No.GSSYLXM-04)。
文摘Carpooling is a sustainable,economical,and environmentally friendly solution to reduce air pollution and ease traffic congestion in urban areas.However,existing regret theories lack consideration of the heterogeneity of attribute perception in different ways and the psychological factors that affect regret,so they cannot accurately portray urban residents’carpool travel decisions and cannot provide a correct explanation of the actual carpool choice behavior.In this paper,based on the analysis of classical random regret minimization models and random regret minimization models considering heterogeneity,the concept of psychological distance is introduced to address shortcomings of the existing models and construct an improved random regret minimization model considering heterogeneity and psychological distance.The results show that the fit and explanatory effect of the improved model proposed in this paper is better than that of the other two models.The psychological distance of travel residents during the Corona Virus Disease 2019(COVID-19)affects the anticipated regret value and the willingness to carpool.The model can better describe the carpool travel choice mechanism of travelers and effectively explain the carpool travel choice behavior of travelers.
文摘Carpooling has emerged as a highly efficient method for mitigating traffic congestion.By strategically consolidating multiple travelers into fewer vehicles,carpooling substantially cuts down the overall number of vehicles on the road.However,the effectiveness of a car-pooling system highly depends on the proportion of interested users who can be success-fully matched and the amount of benefits users gain from these matches.This paper develops analytical models to estimate these metrics for a carpooling system that serves a many-to-one demand pattern,in which travelers share the same basic destination but travel from different origins.Two distinct scenarios are incorporated in the models:one where users have a preferred role as a driver or rider and another in which they are ambivalent between the two roles.The models provide the system’s expected match rate and average user surplus as a function of the network size,number of users,and travel costs.Different from previous studies,the proposed models developed here consider that users only participate in trips beneficial to them from a cost perspective,rather than assuming fixed detours.This allows for matching incorporating spatial and financial con-siderations,promising flexible and rational matches in carpool systems.Simulation tests are used to validate the effectiveness of the analytical models.Results also offer insights into how various factors impact the system’s performance.
基金the National Natural Science Foundation of China under Grant Nos.72171172 and 62088101the Shanghai Municipal Science and Technology,China Major Project under Grant No.2021SHZDZX0100the Shanghai Municipal Commission of Science and Technology,China Project under Grant No.19511132101.
文摘Although the pick-up/drop-off(PUDO)strategy in carpooling offers the convenience of short-distance walking for passengers during boarding and disembarking,there is a noticeable hesitancy among commuters to adopt this travel method,despite its numerous benefits.Here,this paper establishes a tripartite evolutionary game theory(EGT)model to verify the evolutionary stability of choosing the PUDO strategy of drivers and passengers and offering subsidies strategy of carpooling platforms in carpooling system.The model presented in this paper serves as a valuable tool for assessing the dissemination and implementation of PUDO strategy and offering subsidies strategy in carpooling applications.Subsequently,an empirical analysis is conducted to examine and compare the sensitivity of the parameters across various scenarios.The findings suggest that:firstly,providing subsidies to passengers and drivers,along with deductions for drivers through carpooling platforms,is an effective way to promote wider adoption of the PUDO strategy.Then,the decision-making process is divided into three stages:initial stage,middle stage,and mature stage.PUDO strategy progresses from initial rejection to widespread acceptance among drivers in the middle stage and,in the mature stage,both passengers and drivers tend to adopt it under carpooling platform subsidies;the factors influencing the costs of waiting and walking times,as well as the subsidies granted to passengers,are essential determinants that require careful consideration by passengers,drivers,and carpooling platforms when choosing the PUDO strategy.Our work provides valuable insight into the PUDO strategy’s applicability and the declared results provide implications for traffic managers and carpooling platforms to offer a suitable incentive.
基金supported by the National Key R&D Program of China(Grant No.2020YFB2103503).
文摘As a sustainable mode of travel,carpooling is an effective solution to environmental and energy problems,but it has not been fully utilized.The research on carpooling attitudes,especially for college students,still needs to be improved.In response to this problem,this paper aims to investigate the effect of personal attributes,travel attributes,attitude attributes and other attributes of students on carpooling attitudes in China.To collect the data,an online questionnaire survey was implemented at Shenzhen University,and 514 students participated.Based on the samples,the multinomial logit model is used to explore the contribution of all variables.The model results showed that personal attributes such as sex and age had no significant effect on the attitude of college students towards carpooling.The safety of carpooling and its high cost make college students have a neutral attitude towards it.The most concerning factor for college students in carpooling is comfort.These findings can provide valuable suggestions for measures to be taken in response to different attributes affecting students’attitudes and are particularly important for the university and government to make optimal decisions to motivate students to select carpooling.
文摘In the light of the increasingly severe traffic congestion in the city, the rising number of private cars on the road and the low occupancy rate of those cars, this paper explores the current legal obstacles to carpooling and proposes "neighborhood carpooling" as an innovative mobility project aimed at alleviating traffic pressure in the areas around residential districts and reducing the use of private cars. The paper begins by introducing the preparatory investigation, consultation and scheme design process, and then elaborates on the series of measures undertaken to ensure that the project runs smoothly, including the formulation and distribution of the proposal, establishment of carpooling stations, registration and management of carpooling information, signing of the voluntary undertakings, design of the carpooling stickers and encouragement of public participation through the media. The analysis of different data on the actual practice of carpooling and the results of the media survey shows that the "neighborhood carpooling" project can indeed reduce private car use and has achieved certain social benefits through media publicity. Finally, the paper points out that with the guarantee of the two-level management system involving the community administrative committee and the residents’ committees, effective community organization is the key to the successful operation of the project.
文摘目前网约车拼车服务存在响应不及时、乘客舒适度低等现象,亟需对拼车路线及求解算法进行优化。本文首先考虑路网条件及时间窗阈值影响,以网约车运行成本与乘客出行成本最小化为目标,构建基于双向线路的网约车拼车优化模型("one-to-many"online car-hailing carpooling model under multiple constraints)。其次以遗传算法为基础,结合模拟退火温度调控机制,改进适应度评价和接受准则,提出混合遗传-模拟退火算法(hybrid genetic-simulated annealing algorithm,H-GASA)。最后以呼和浩特东站及其周围交通网络为例进行实例验证。实验结果表明,与其他算法相比,H-GASA算法在多种时间窗下均能有效降低乘客出行时间和车辆运营成本。此外,H-GASA算法得到的网约车拼车服务问题求解方案更优,收敛曲线更平缓,效率更高,验证了H-GASA在克服遗传算法过快收敛问题上的有效性。
文摘针对影响互联网拼车的因素,选择某拼车网站为数据来源,采用回归分析和试验设计(De-sign of Experiment,DOE)方法,分析影响网上拼车行为的因素及其对实际拼车成功和拼车申请人数的影响强度.结果表明,拼车信息回复数和点击数对拼车成功率有正面影响;对于拼车网站而言,可以采取适当的鼓励措施提高点击数和回复数,从而增强网站活跃度;从社会整体而言,提高拼车参与率更需要有相关政策的支持.
