Travelers'attitudes toward carpooling in Lahore:motives and constraints

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.

A Comparison of Machine Learning Techniques in the Carpooling Problem

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.

A Trusted and Privacy-Preserving Carpooling Matching Scheme in Vehicular Networks

With the rapid development of intelligent transportation, carpooling with the help of Vehicular Networks plays an important role in improving transportation efficiency and solving environmental problems. However, attackers usually 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 privacy-preserving carpooling matching scheme in Vehicular Networks (TPCM). TPCM scheme introduced travel preferences during carpooling matching, according to the passengers’ individual travel preferences needs, which adopted the privacy set intersection technology based on the Bloom filter to match the passengers with the vehicles to achieve the purpose of protecting privacy and meeting the individual needs of passengers simultaneously. TPCM scheme adopted a multi-faceted trust management model, which calculated the trust value of different travel preferences of vehicle based on passengers’ carpooling 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.

Factors affecting college students’attitudes towards carpooling

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.

A tripartite evolutionary game analysis of providing subsidies for pick-up/drop-off strategy in carpooling problem

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.

Will Online Car-Hailing Affect Consumers’ Decisions about Automobile Purchase?—An Empirical Study Based on Questionnaire Investigation

The online car-hailing industry, which provides the right of use, has a certain impact on the traditional automobile market, but there is no unified theory on whether it has a positive impact or a negative impact. Based on 362 consumer questionnaire data, this study builds a structural equation model to discuss the driving factors of residents’ choice of online car-hailing and whether the development of online car-hailing will have a certain substitution impact on the sales of private cars. From the perspective of consumers’ purchase intention, the research results show that consumers’ price consciousness, convenience consciousness, environmental protection consciousness and possession tendency will affect their choice of travel mode, and the use of online car-hailing is positively correlated with consumers’ willingness to replace private car ownership with online car-hailing.

Neighborhood Carpooling Project in Changqing Community in Wuhan City

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.