Transportation最新文献

{"title":"A courier’s choice for delivery gigs in a real-world crowdshipping service with observed sender-courier preference discrepancy","authors":"Hui Shen, Jane Lin","doi":"10.1007/s11116-024-10528-y","DOIUrl":"https://doi.org/10.1007/s11116-024-10528-y","url":null,"abstract":"<p>A courier’s choice for delivery gigs in a crowdshipping service is not well understood in the literature. Thus the objective of this study is to empirically investigate the crowdshipping (CS) couriers’ bidding preferences for delivery gigs, and how the gig features impact the gig delivery status of a real-world CS service in the United States. The delivery records were made available between 2015 and 2018. A descriptive analysis reveals that there exist significant preference discrepancies between the senders and the couriers in terms of package size, delivery time window, delivery distance, and delivery fee. Therefore, four features to capture the above discrepancy are specifically created from the data in predicting <i>the bidding level</i> and <i>the delivery status</i>. The bidding level which is measured by the number of bids received per gig is classified into low, medium, and high bidding levels to reflect the couriers’ preferences for the delivery gigs. The delivery status, labeled as delivered or undelivered, is affected by the couriers’ eventual choice of the delivery gigs. Five popular machine learning (ML) methods, namely Random Forest Decision Tree, Artificial Neural Network, eXtreme Gradient Boosting (XGBoost), Support Vector Machine, and Bayesian Network are applied to the predictions. Among them, the XGBoost is found to perform the best. Furthermore, the Shapley Additive exPlanations (SHAP) values are introduced to explain and visualize how each feature influences the dependent variable (prediction target). The SHAP values provide an effective visualization and interpretability of the feature impact values and importance rankings, much like the coefficients of the traditional econometric based logit model. The paper further demonstrates that the ML models and the logit models produce consistent feature influences. Overall, the couriers are generally interested in the delivery gigs of extra-large and huge package sizes, medium to long delivery distance, insured packages, and flexible delivery time window. Discrepancy related features significantly influence couriers’ bidding behavior as expected. The study also reveals that gigs that receive a high number of bids do not translate into their eventual successful deliveries. Finally, policy and practical implications for improving the CS service particularly through pricing strategies are discussed.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"25 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which variables influence electric vehicle adoption?","authors":"Hamed Naseri, E. O. D. Waygood, Zachary Patterson, Bobin Wang","doi":"10.1007/s11116-024-10525-1","DOIUrl":"https://doi.org/10.1007/s11116-024-10525-1","url":null,"abstract":"<p>Understanding the factors that will influence people’s preferences for Electric Vehicles (EVs) over Internal Combustion Engine Vehicles (ICEVs) is crucial. A discrete choice experiment was designed and administered as an online survey resulting in 1077 completed questionnaires. This study examined the influence of over 83 variables on preferences for EVs. As well, previous studies have used tailpipe emissions only to present GHG information, but in this study lifecycle GHG emissions of vehicles are presented. Five ensemble learning techniques and two interpretation techniques were employed to investigate individual decisions regarding selecting between EVs and ICEVs. The results demonstrate that when lifecycle emissions are presented, financial impacts are the principal influences on predicting preference for an EV over ICEV. Following the financial impacts are existing preferences for EVs and attitudes related to climate change. How the emissions are presented was the 12th and 9th most influential factor for BEVs and PHEVs respectively.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"12 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of parents on their children’s car purchase intention","authors":"Muhamad Abdilah Ramdani, Prawira Fajarindra Belgiawan, Jan-Dirk Schmöcker, Muhammad Zhafir Afif, Nila Armelia Windasari, Muhamad Rizki, Dong Zhang","doi":"10.1007/s11116-024-10516-2","DOIUrl":"https://doi.org/10.1007/s11116-024-10516-2","url":null,"abstract":"<p>The study investigates car purchase intention among students. We advance existing literature by proposing a model integrating parent influence, attitude toward car ownership and psychological predictors in the scope of family or household decision-making. We collected 514 multi-actor sample data consisting of fathers, mothers, and their young adult children from the Jakarta metropolitan area. The results show that parents’ car attitudes are determinants of their influence on their children’s car purchases. The influence is further indirectly related to the child’s perception of their parent’s expectations which in turn depends on the closeness of family relationships. Moreover, children’s car attitude toward the prestige value of a car and their father’s influence significantly affects their car purchase intention. Based on this, we suggest that it is important to target families instead of only young adults in mobility intervention policies.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"16 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ride-pooling service assessment with heterogeneous travellers in non-deterministic setting","authors":"Michal Bujak, Rafal Kucharski","doi":"10.1007/s11116-024-10527-z","DOIUrl":"https://doi.org/10.1007/s11116-024-10527-z","url":null,"abstract":"<p>Ride-pooling remains a promising emerging mode with a potential to contribute towards urban sustainability and emission reductions. Recent studies revealed complexity and diversity among travellers’ ride-pooling attitudes. So far, ride-poling analyses assumed homogeneity of ride-pooling travellers. This, as we demonstrate, leads to a false assessment of ride-pooling system performance. We experiment with an actual NYC demand from 2016 and classify travellers into four groups of various ride-pooling behaviours (value of time and penalty for sharing), as reported in the recent SP study from Netherlands. We replicate their behavioural characteristics, according to the population distribution, to obtain meaningful performance estimations. Results vary significantly from the homogeneous benchmark: mileage savings were lower, while the utility gains for travellers were greater. Observing performance of heterogeneous travellers, we find that those with a low value of time are most beneficial travellers in the pooling system, while those with an average penalty for sharing benefit the most. Notably, despite the highly variable travellers’ behaviour, the confidence intervals for the key performance indicators are reasonably narrow and system-wide performance remains predictable. Our results show that the incorrect assumption of homogeneous traits leads to a high dissatisfaction of 18.5% and a cancellation rate of 36%. Such findings shed a new light on the expected performance of large scale ride-pooling systems.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"44 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deriving weeklong activity-travel dairy from Google Location History: survey tool development and a field test in Toronto","authors":"Melvyn Li, Kaili Wang, Yicong Liu, Khandker Nurul Habib","doi":"10.1007/s11116-024-10523-3","DOIUrl":"https://doi.org/10.1007/s11116-024-10523-3","url":null,"abstract":"<p>This paper introduces an innovative travel survey methodology that utilizes Google Location History (GLH) data to generate travel diaries for transportation demand analysis. By leveraging the accuracy and omnipresence among smartphone users of GLH, the proposed methodology avoids the need for proprietary GPS tracking applications to collect smartphone-based GPS data. This research utilizes the existing travel survey software, TRavel Activity Internet Survey Interface (TRAISI), which allows for the design and implementation of surveys through highly modular and customizable components. A new module was developed within this software to serve as a repository for GLH, enabling the derivation of activity-travel diaries from each respondent’s GLH. The feasibility of this data collection approach is showcased through the Google Timeline Travel Survey (GTTS) conducted in the Greater Toronto Area, Canada. The resultant dataset from the GTTS is demographically representative and offers detailed and accurate travel behavioural insights.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"43 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"More bus subsidies, better bus benefits? Evidence from the effect of bus subsidy policies in 33 key cities of China","authors":"Chunqin Zhang, Meng Liu, Yi Huang, Jinpei Li, Martin Skitmore","doi":"10.1007/s11116-024-10530-4","DOIUrl":"https://doi.org/10.1007/s11116-024-10530-4","url":null,"abstract":"<p>To explore the effectiveness of China's current bus subsidy policies, we select 33 key cities in China that have implemented operation subsidies and dedicated bus lane policies from 2016 to 2019 as the study objects. Utilizing a propensity score matching approach to control for urban characteristic variables, we examined the relationship between different levels of subsidy policies and bus benefits. We calculated the propensity scores of the samples, matched them accordingly, and then derived quantitative results on the impact of the bus subsidy policy. We used lagged variable and whether a city is a coastal city as an instrumental variable to conduct an endogeneity test and found no evidence of endogeneity. The results show that a high proportion of dedicated bus lanes has a significant boosting effect on the improvement of bus benefit, and theoretically the promotion effect reaches 8.3%. A high level of operation subsidies can improve bus benefits by 3.5%, but it is not significant. The larger the sidewalk area per capita, the less likely a city will receive high levels of operation subsidies. Cities with higher population density and larger urban road area per capita may not construct a higher proportion of dedicated bus lanes, while cities with more car ownership and bus parking area are likely to construct more dedicated bus lanes. Our study contributes to bus subsidy research by employing a propensity score matching method that minimizes sample selection bias, ensuring the reliability of the results. This paper provides a theoretical basis for the adjustment of China’s urban bus subsidy policy and enriches bus subsidy research.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"102 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141904656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Place Generator and Place Interpreter: a new methodology to collect data on regular mobility patterns","authors":"Benjamin Gramsch-Calvo, Kay W. Axhausen","doi":"10.1007/s11116-024-10526-0","DOIUrl":"https://doi.org/10.1007/s11116-024-10526-0","url":null,"abstract":"<p>When observing the temporal trajectory of an individual, there is a high probability of them visiting an already-known place due to habit and routine in human mobility behavior. To collect data and understand these routine activities, we propose the Place Generator and the Place Interpreter, a survey adapted from the Name Generator and Name Interpreter methodology of social network studies for travel behavior. In the survey, we asked the participants to name the venues they regularly visit for leisure by category. This methodology captures the characteristics of the venues and the reasons to be chosen. We tested this method in the Zurich Metropolitan Area in Switzerland, focusing on leisure activities and the social environment of the venues. Hence, we ask the individuals to describe the reasons for choosing that specific location and the sociodemographic characteristics of the other visitors. This methodology worked well when compared with earlier long-duration GPS tracking surveys. Respondents report, on average, 9.85 locations for nine types of venues, mainly supermarkets and restaurants or cafes, and respondents can describe their similarities with other visitors to that location. The survey is complemented with a survey of sociodemographic characteristics and the respondent’s ego-centric social network to get information on social connections and their impact on leisure activity.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"56 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141904654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The TimeUse+ data set: 4 weeks of time use and expenditure data based on GPS tracks","authors":"Caroline Winkler, Adrian Meister, Kay W. Axhausen","doi":"10.1007/s11116-024-10517-1","DOIUrl":"https://doi.org/10.1007/s11116-024-10517-1","url":null,"abstract":"<p>This data paper introduces the TimeUse+ data set and outlines the comprehensive survey methodologies employed in its collection. The TimeUse+ study comprised two online questionnaires and a smartphone-based diary, recording travel, time use, and expenditure data. Participants were instructed to utilize the TimeUse+ application over a 4-week period. The app passively tracked participants’ movements via GPS and enabled them to annotate their trips and time spent at fixed locations with relevant time use and expenditure information. We begin by providing an overview of extant research on smartphone-based activity-travel diaries and the survey methodological research that informed the TimeUse+ app’s design. We then delineate the study design and components of TimeUse+, highlighting insights derived from prior focus groups and pretests. The data analyzed in this study were collected during the main study wave of TimeUse+, conducted in German-speaking Switzerland from July 2022 to February 2023. Approximately 63,000 individuals were invited to participate, of which approximately 10% initially indicated interest. Despite the study’s extensive and burdensome nature, we observed a net response rate of 2.1%. We present findings related to travel behavior, time use patterns, and expenditure habits, and discuss the challenges faced and lessons learned during each stage of development and execution of the TimeUse+ study. These extensive longitudinal data, which include validated information on travel mode and purpose, as well as detailed data on duration, social partners, and expenditures associated with activities performed at each destination, are being made available for further research.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"40 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Promoting active transportation: A comparative assessment of paths and prices","authors":"Darja Mihailova, Colin Vance","doi":"10.1007/s11116-024-10520-6","DOIUrl":"https://doi.org/10.1007/s11116-024-10520-6","url":null,"abstract":"<p>The time people spend traveling has far reaching implications for their health and for environmental outcomes. Urban planning paradigms—such as that of the \"15-minute city\"—have consequently endeavoured to bring key services and amenities to residents within a walkable or cycleable 15–20-minute distance. These efforts notwithstanding, the policy levers that influence travel-related time allocation remain poorly understood. Drawing on a panel of household travel data from Germany covering 2005–2020, the present study analyses the role of 2 such levers—bicycle/pedestrian paths and fuel prices—as determinants of time allocation across modes. We start with a descriptive analysis that identifies a stable average travel time expenditure ranging between 65–70 min for women and 75–80 min for men until 2020, when it dropped precipitously as COVID-19 spread. We subsequently estimate fractional response models to identify the influence of the policy variables on time expenditures across motorized, nonmotorized, and public transit modes. We complete the analysis by feeding the model estimates into the World Heath Organization’s on-line Health and Economic Assessment Tool (HEAT) to quantify the health and environmental impacts of the planned expansion of the bike path network in the city of Munich, comparing this with the impact of Germany’s recently introduced carbon tax on fuel. Both measures result in substantial benefits, with the implementation of the tax yielding a considerably higher benefit/cost ratio owing to its lower cost of implementation.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"80 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring commuters’ mode preference to autonomous vehicles based on a personalized travel experience survey","authors":"Huanmei Qin, Binhai Yu, Yonghuan Zhang","doi":"10.1007/s11116-024-10529-x","DOIUrl":"https://doi.org/10.1007/s11116-024-10529-x","url":null,"abstract":"<p>With the rapid development of autonomous driving technology and the sharing economy, autonomous driving has significant potential to offer a broader range of travel choices for travelers. To explore different commuters’ autonomous vehicles—related behavioral decisions and choice preference, this study designed a personalized travel experience survey and established travel choice models incorporating individual perceptions and attitudes for two groups. It was found that commuters’ perceptions of autonomous vehicles were significantly improved by travel experience. Travel time is the most concerned factor in travel mode choice for private car commuters, while travel cost is the most important factor for public transport commuters. Therefore, enhancing operational efficiency and reducing the energy consumption of autonomous vehicles could effectively encourage commuters to adopt new travel modes. Improving travelers’ travel experiences and positive attitudes towards using autonomous vehicles is conducive to the adoption of private autonomous vehicles by private car commuters and the choice of shared autonomous vehicles by public transport users. By promoting people’s acceptance of ride-sharing and awareness of its benefits through user experience, publicity, and guidance, a substantial increase in the adoption of shared autonomous vehicles can be achieved among both commuter groups. Suitable thresholds for crucial factors, including travel time and cost, perception, and attitudes towards ride-sharing, were determined for both groups to facilitate their mode transfer among traditional travel modes and autonomous vehicles. The research findings can provide a reference for anticipating travel demand and guiding the formulation of transport policies for future transportation systems.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"42 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}