Transportation Research Part A-Policy and Practice最新文献

{"title":"Enhancing autonomous vehicle acceptance with age and education sensitive simulation interventions: an experimental trial","authors":"Celina Kacperski ,&nbsp;Roberto Ulloa ,&nbsp;Jérémy Wautelet ,&nbsp;Tobias Vogel ,&nbsp;Florian Kutzner","doi":"10.1016/j.tra.2025.104415","DOIUrl":"10.1016/j.tra.2025.104415","url":null,"abstract":"<div><div>The familiarity principle posits that acceptance increases with exposure, which has previously been shown with in vivo and simulated experiences with connected and autonomous vehicles (CAVs). We investigate the impact of a simulated video-based first-person drive on CAV acceptance, as well as the impact of information customization, with a particular focus on acceptance by older individuals and those with lower education. Findings from an online experiment with N = 799 German residents reveal that the simulated experience improved acceptance across response variables such as intention to use and ease of use, particularly among older individuals. However, the opportunity to customize navigation information decreased acceptance of older individuals and those with university degrees and increased acceptance for younger individuals and those with lower educational levels.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104415"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear effects of changes in the built environment and life events on mode choice: A longitudinal analysis","authors":"Senkai Xie,&nbsp;Feixiong Liao","doi":"10.1016/j.tra.2025.104417","DOIUrl":"10.1016/j.tra.2025.104417","url":null,"abstract":"<div><div>Many studies have investigated the relationships between the built environment attributes, life events, and travel mode choice. However, few have explored their dynamic, nonlinear relationships in a holistic framework. Using five waves of the Netherlands mobility panel data, this study applies a light gradient boosting machine model to examine the nonlinear effects of socio-demographics, changes in the built environment, and life events on evolving mode choice. We find that socio-demographics and life events have the dominant relative importance for predicting four latent evolving mode choice patterns. Results show that education, gender, employment status, change in working hours, and starting a new job are among the determinants with the highest relative importance. Most life events show nonlinear effects and a few exhibit deviated short- and long-term effects on the modal shifts between car and green modes. Changes in built environment attributes have nonlinear associations with evolving mode choice, but the impacts are rather limited. These findings offer policy implications and planning guidelines for promoting the modal shift from car to green modes toward sustainable mobility transition.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104417"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adoption of speed pedelecs as a commuting vehicle: Investigating the influence of a test period","authors":"Nikolaas Van den Steen ,&nbsp;Jan Cappelle ,&nbsp;Lieselot Vanhaverbeke","doi":"10.1016/j.tra.2025.104414","DOIUrl":"10.1016/j.tra.2025.104414","url":null,"abstract":"<div><div>The rising registration numbers show that speed pedelecs are being adopted in Flanders, Belgium. A speed pedelec (SP), i.e. a fast electric bicycle with a maximum pedal-assisted speed of 45 km/h and a maximum continuous rated motor power of 4 kW, is a good alternative to cars as a commuting vehicle for certain distances. Qualitative studies identified the existing motivations for this uptake, but a model describing the specific factors driving this adoption, linked to empirical validation, is missing. This paper suggests a new SP adoption model based on several existing adoption theories and tests the theory through an experimental trial with a pre-test and post-test measurement. The study reveals that attitude formation is influenced by several factors, including Trust, Result Demonstrability, Design, Relative Advantage and Ease of Use before the test period. After the test period, however, the set of influencing factors narrows, with only Design and Ease of Use remaining significant predictors of attitude formation. This indicates that the test period not only reinforces certain perceptions but also filters out less impactful attributes, concentrating participants’ attitudes around the usability and design of the speed pedelec. The findings confirm that attitude formation towards speed pedelecs is instrumental in driving the intention to adopt them as commuting vehicles, with the test period playing a key role in reshaping perceptions. These insights are valuable for marketers and policymakers aiming to encourage active mobility, highlighting the importance of emphasising specific characteristics like design and usability to potential adopters.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104414"},"PeriodicalIF":6.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is mobility transition driven by wealth inequality? Evidence from analysis of the electric two-wheelers adoption in India","authors":"Rajesh Gupta ,&nbsp;Arjun Anand","doi":"10.1016/j.tra.2025.104407","DOIUrl":"10.1016/j.tra.2025.104407","url":null,"abstract":"<div><div>Electric Vehicles (EVs) adoption is considered a key strategy for the transition to green mobility worldwide. However, there is wide global heterogeneity in the EV adoption rates among various countries. The manifestation of wealth inequality in the proliferation of EVs is an area of immense importance for policymakers interested in calibrating EV incentives by socio-economic characteristics. Since the predominant mode of personal transport is not the same in all countries, only a particular category of EVs can be studied to probe the impact of wealth inequality. India, due to its economy and population size, along with the sub-national level of wealth inequality, is suitable for a study on the relationship of EV adoption with wealth inequality. Two-wheelers dominate the Indian vehicular spectrum, and the sale of electric two-wheelers in India has picked up in the last five years. This study explores the impact of wealth inequality on electric two-wheeler sales in India. We use Instrumental Variable Quantile Regression (IVQR) and smooth IVQR method on the district-level data for India. Issues of endogeneity and heterogenous treatment effect are addressed through instrumental variable and quantile regression approaches, respectively. This study finds that wealth inequality is not only correlated with EV adoption, but also, the association is more pronounced in high EV adoption districts. These findings have serious policy repercussions because inequality-driven mobility transition can bring forth long-term undesirable outcomes for both economic growth and sustainability. Though the findings of this study are in the context of the Indian EV market, the inferences drawn are of global application due to increasing emphasis on EV adoption all over the world, which mostly overlooks the wealth distribution at the sub-national level.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104407"},"PeriodicalIF":6.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial transferability of machine learning based models for ride-hailing demand prediction","authors":"Sudipta Roy ,&nbsp;Bat-hen Nahmias-Biran ,&nbsp;Samiul Hasan","doi":"10.1016/j.tra.2025.104413","DOIUrl":"10.1016/j.tra.2025.104413","url":null,"abstract":"<div><div>Accurate prediction of ride-hailing demand is crucial to provide quality service to consumers, to effectively schedule vehicles, and to maintain a well-functioning transportation system. As information of ride-hailing demand in most of the cities is not available, assessing the spatial transferability of ride-hailing demand models is an important research problem. To address this problem, this study aims to develop a ride-hailing demand prediction model using trip information available from ride-hailing service providers and to test the spatial transferability of the model. Using aggregated trip data, we have developed ride-hailing generation and attraction prediction models using several well-known machine learning algorithms such as random forest, extreme gradient boost, support vector machine, and artificial neural network for two study areas including the New York City and Chicago with similar built environment and land use characteristics. The random forest and extreme gradient boost models have superior performance for predicting ride-hailing demand with both the training and testing data in the intra-city level. The developed models for the New York City are later used to predict the ride-hailing demand of Chicago using two different transfer learning approaches. A knowledge transfer approach shows better transferability potential of ride-hailing demand models with reduced error rates. An analysis of prediction errors suggests that the models achieve better accuracy to predict demand on areas near central business districts or during peak periods.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104413"},"PeriodicalIF":6.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing transit service headways and planning activity location with carbon credit charge scheme: An activity-based approach","authors":"Xiao Fu ,&nbsp;Yuqian Jin","doi":"10.1016/j.tra.2025.104397","DOIUrl":"10.1016/j.tra.2025.104397","url":null,"abstract":"<div><div>In the transportation system, carbon emissions are generated as a result of individuals’ activity and travel choices. The simultaneous planning of transport networks (e.g., optimizing transit services) and land use (e.g., planning activity locations), along with the implementation of environmental policies, collectively influence individuals’ activity and travel choices, thereby impacting carbon emissions. This paper presents a carbon credit charge scheme without initial credit allocations. Under this scheme, travelers are required to pay credits for emitting carbon dioxide and other greenhouse gases based on their chosen mode of transport, travel route, and departure time. We develop a bi-level programming model to capture the interaction between transit service headways, activity location plan, credit price, and their effects on individuals’ activity and travel choice behaviors. In the upper-level model, we optimize transit service headways and activity locations as well as credit price to attain green mobility and equity goals. In the lower-level model, we account for travelers’ heterogeneity in value of time and propose a comprehensive framework to schedule their activity and travel choice behaviors within a multi-modal transport network using a time-dependent activity-based approach. With our proposed model, we comprehensively analyze the activity-travel choice behaviors of heterogeneous travelers and resulting carbon emissions. The application of our proposed model is demonstrated using the Nyguen-Dupuis network. Numerical results show that our proposed model effectively enhances transport management by modeling individuals’ activity-travel choice behavior under the new transport policy.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104397"},"PeriodicalIF":6.3,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Home delivery vs. out-of-home delivery: Syncretic value-based strategies for urban last-mile e-commerce logistics","authors":"Tanmoy Kundu ,&nbsp;Mark Goh ,&nbsp;Tsan-Ming Choi","doi":"10.1016/j.tra.2024.104309","DOIUrl":"10.1016/j.tra.2024.104309","url":null,"abstract":"<div><div>Adopting the Out-Of-Home Delivery (OOHD) model of using parcel lockers and convenience stores to act as pick-up and drop-off points offers many benefits over the conventional Home Delivery (HD) model in e-commerce logistics. Despite these benefits, consumers still prefer HD over OOHD for their last-mile e-commerce deliveries. While the convenience of HD is a core feature of online shopping, a question arises: Can OOHD offer better customer utility and reduce the delivery costs of last-mile logistics? Motivated by observed industrial practices, this study adopts a game-theoretic approach to analyze the strategies concerning a customer’s preference for delivery (HD vs. OOHD) and the switching (from HD to OOHD) behavior in response to an e-commerce firm’s self-pickup discount. A distinctive feature of this work is the conceptualization of an e-commerce firm’s orientation towards the triple bottom line goal of meeting consumer expectations (people), financial gains (profit), and reducing environmental impact (planet), collectively termed as the <em>syncretic value</em> in this paper. Setting the syncretic value as the business objective function, we obtain the equilibrium solutions on the discount (for OOHD) and shipping charge (for HD) that would entice a switch to OOHD. Unlike the current practice of some e-commerce delivery markets offering a flat rebate for self-pickup, our results reveal that the e-commerce firm should peg the self-pickup discount based on the online product’s price and levy a shipping charge for low-price products to encourage self-pickup. Online retailers should focus on low-price products for the OOHD-based incentivization scheme for better profitability. We provide a comparative analysis between the HD-only and hybrid (HD with OOHD) delivery models to guide the e-commerce platform operators in positioning their business models and customer engagements. The results suggest that including the syncretic value in the business objectives not only increases consumer utility (more delivery choices) and profitability of the e-commerce firm (lower delivery costs) but also addresses the environmental impact of urban logistics, thus contributing to the sustainable development goals.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104309"},"PeriodicalIF":6.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-objective model for fair location of stations and geofence parking area to address disorderly parking in free-floating micromobility systems","authors":"Simona De Bartolomeo,&nbsp;Michele Ottomanelli,&nbsp;Leonardo Caggiani","doi":"10.1016/j.tra.2025.104390","DOIUrl":"10.1016/j.tra.2025.104390","url":null,"abstract":"<div><div>Transport within cities has been significantly changed by micromobility, particularly with the spread of shared systems. There are two types of these systems: station-based and free-floating. The former is characterised by the presence of stations in which a user can pick up or drop off a vehicle. The latter offers users the same functions but, where enabled, anywhere within the service area. Free-floating systems may appear more equitable and convenient than station-based ones, as stated in literature, but on the other hand, they can lead to unauthorised and irregular parking, obstructing pedestrians and vehicle flow. To reduce disordered parking, one of the possible solutions is to implement stations also in free-floating systems. However, this can reduce their attractiveness, forcing users to walk longer and making the system less fair. To address these issues, we proposed to convert a free-floating system into a mixed one with free-floating and station-based geofenced service sub-areas. The station locations are defined through a new multi-objective problem with the aim of finding a compromise among three objectives: the maximisation of drop-off station demand to minimise irregular parking, the minimisation of users’ walking distances in active and passive accessibility, and the minimisation of inequality in walking distance changes due to the conversion to a mixed system. This model was applied to a real case study and shows that our proposal can be of help for municipalities and operators in choosing fair station locations or a trade-off solution based on the importance they attach for one objective compared to the others.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104390"},"PeriodicalIF":6.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior","authors":"Jakob Kappenberger ,&nbsp;Heiner Stuckenschmidt ,&nbsp;Frederic Gerdon","doi":"10.1016/j.tra.2025.104389","DOIUrl":"10.1016/j.tra.2025.104389","url":null,"abstract":"<div><div>It has been widely recognized that public parking, if not managed correctly, can significantly decrease a city’s quality of life due to increased traffic and its impact on mobility and the environment. To avoid these negative effects, various parking policies have been proposed to reduce traffic while guaranteeing high accessibility, especially in city centers. This work investigates different pricing policies for public parking, including dynamic pricing and Machine Learning-based strategies that can directly optimize policy goals, such as improving mobility or accessibility. In doing so, we pay special attention to an aspect often ignored when implementing pricing policies for public parking: fairness with regard to equal outcomes for different social groups. Since the effects of pricing policies are very sensitive to financial inequality, we specifically investigate the impact of policies on different income groups. As a foundation for these experiments, we introduce a parking simulation featuring an empirically calibrated behavioral model of parking. We find that (1) dynamic pricing schemes may negatively impact fairness; (2) fair pricing for parking may require different fees for individual social groups; (3) focusing on single policy goals when devising pricing for parking results in unintended consequences; (4) Machine Learning shows potential for creating pricing strategies combining different policy goals.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104389"},"PeriodicalIF":6.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143259791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the potential for dynamic parking reservation systems to increase delivery vehicle accommodation","authors":"Aaron Burns ,&nbsp;Connor R. Forsythe ,&nbsp;Jeremy J. Michalek ,&nbsp;Kate Whitefoot","doi":"10.1016/j.tra.2025.104380","DOIUrl":"10.1016/j.tra.2025.104380","url":null,"abstract":"<div><div>We estimate the potential for a dynamically managed parking reservation system to increase the accommodation of real-time delivery demand by implementing a sliding time window mixed integer linear programming parking slot assignment formulation. Through our research, we reveal key trade-offs in the performance of a dynamic reservation system based on the lead time of a parking request from submission to requested arrival time, flexibility in the requested arrival time, and arrival time uncertainty. Comparing results across a range of scenarios, we find that a reservation system in our representative case can either <em>increase</em> parking accommodation by up to 330 h per space per year or <em>reduce</em> parking accommodation by up to 130 h per space per year, relative to first-come first-serve. Reservation systems tend to increase parking accommodation most when drivers have flexible but reliable arrival times, requests are made in advance, and demand is low or moderate. Reservation systems can especially reduce parking accommodation when unoccupied buffer periods between reservations are used to guarantee reservations due to uncertainty in arrival and departure times. Our results suggest that the application of dynamic curb reservation systems may be most appropriate for targeted applications where drivers have flexible but reliable arrival times.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104380"},"PeriodicalIF":6.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143259790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}