Eshwar Dayal , Lisa Khuntia , Lakshay Lakshay , Heleen Buldeo Rai , Agnivesh Pani
{"title":"Behavioral intention to use parcel lockers in the last mile and underlying linkages with travel modal choice","authors":"Eshwar Dayal , Lisa Khuntia , Lakshay Lakshay , Heleen Buldeo Rai , Agnivesh Pani","doi":"10.1016/j.retrec.2025.101568","DOIUrl":"10.1016/j.retrec.2025.101568","url":null,"abstract":"<div><div>As e-commerce expands globally, using parcel lockers is becoming more and more common. Ultimately, our study contributes to a better understanding of last-mile delivery intents by providing insightful information to legislators and courier businesses seeking to encourage locker usage. After an online survey was completed in Mumbai, India, a Latent class cluster analysis and structural equation modeling were used to examine the variables influencing parcel locker users' usage. The study is unique in that it looks at three clusters: regular transit users, car owners, and those who own and use two-wheelers to explore the relationship between transportation mode choice and intention to utilize parcel lockers. According to the findings, perceived usefulness, perceived ease of use, perceived risks, and shopping preference are among the major drivers of behavioral intention to use parcel lockers. Owners of motorcycles and bicycles showed a positive correlation between all parameters and their intention to use parcel lockers, suggesting that ease of access will lead them to utilize this service. The relevance of convenience in locker accessibility was shown by the positive link between perceived usefulness and attitude among regular transit users. Contrary, car owners only indicated a positive correlation with perceived ease of use, indicating a low propensity to use parcel lockers. These results highlight the necessity for urban logistics regulations to adjust to new delivery models like parcel lockers by matching service offerings to various means of transportation and considering locker placement. In cities, these flexible regulations may increase accessibility and encourage creative last-mile solutions.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101568"},"PeriodicalIF":4.6,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Critical factors influenced pedestrian walking speed: A meta-analysis","authors":"Wei-Ting Shen, Barbara T.H. Yen","doi":"10.1016/j.retrec.2025.101564","DOIUrl":"10.1016/j.retrec.2025.101564","url":null,"abstract":"<div><div>Active transport plays a vital role in sustainable transport and urban planning and is beneficial for people's health. Since improving active transport facilities improves safety and convenience for users, it is important to measure the performance of active transport facilities. Walking speed has been recognised as the main design factor for pedestrian facilities. The purpose of this study is to identify key factors that affect walking speed. Therefore, this study reviews 41 papers with 191 samples and collects external data of quality of life indexes to control the built environment and economic status of each case. A two-step modeling process is developed. First, DBSCAN was used to identify the similarities among the samples. The three clusters (i.e., developed countries, developing countries with higher population density, and developing countries with lower population density) identified are one of the inputs into the second stage where a meta-analysis regression model was used to find critical factors influencing walking speed. Factors with significant positive impacts on walking speed are young pedestrians, cold weather, and two of the DBSCAN clusters (i.e., developed countries, and developing countries with lower population density). Factors that have significant negative impacts on walking speed are elderly pedestrians, female pedestrians, wearing specific clothing, commercial land use, and measuring speed as mean speed (compared to free flow speed). Being in a developed country is found to have the greatest negative impact on walking speed. This study further compares the worldwide Global Street Design Guide indicators with the meta-analysis model results. Findings provide policymakers and planners with a clear guide on the design of facilities for pedestrians to improve walking speed.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101564"},"PeriodicalIF":4.6,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 potential impact of childbirth on women's commute time and labour market participation: a cohort analysis","authors":"Azamsadat Hosseini Shoabjareh, Milad Ghasri","doi":"10.1016/j.retrec.2025.101563","DOIUrl":"10.1016/j.retrec.2025.101563","url":null,"abstract":"<div><div>Women are reported to have lower commute times and labour market participation (LMP) than men, reflecting gender inequality in the labour market. While progress in workplace gender equality and a more equitable distribution of household responsibilities are expected to reduce this gap, certain biological life events, such as childbirth, may continue to disproportionately impact women's LMP and commute times. This study examines the temporal effect of childbirth on women's LMP and commute time while controlling for individual, period, and cohort effects. We use the longitudinal survey of Household, Income and Labour Dynamics in Australia (HILDA) to analyse historical trends in the gender gap across four cohorts of Post-War, Baby Boomers, Generation X, and Millennials and quantify the impact of childbirth on women's LMP and commute time. The results show that the gender gap exists in LMP and commute time across all the investigated generations, nevertheless, the gap has decreased for younger generations. Childbirth reduces women's LMP and commute time by up to 82.3 % and 45.8 %, respectively. The adverse effect of childbirth on LMP and commute time diminishes over time. However, even 12 months after childbirth, LMP and commute time do not fully revert to their pre-childbirth levels.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101563"},"PeriodicalIF":4.6,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Opening the tracks: The impact of rail liberalization on ridership growth in the Czech Republic","authors":"Zdeněk Tomeš, Vilém Pařil","doi":"10.1016/j.retrec.2025.101567","DOIUrl":"10.1016/j.retrec.2025.101567","url":null,"abstract":"<div><div>The Czech Republic has carried out dedicated rail liberalization. Two major lines, Prague–Ostrava and Prague–Brno, were opened for on-track competition and entered by private operators. These entries led to fare declines, frequency increases, and quality improvements. Ridership increased significantly, but it has not been clear what part of the ridership growth has been caused by competition and what part by other factors. We used data about Czech rail ridership that consists of 12 long-distance connections from Prague to regional centres. Four were routes with competition and eight were routes operated solely by the incumbent. This design enables differentiation of what part of the ridership increases was caused by competition and what part by other factors. The main result is that after controlling for economic growth and travel-time improvements, ridership on lines with competition grew by 5 % p.a. more than it did on lines without competition.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101567"},"PeriodicalIF":4.6,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Direct and cross cost elasticity estimations for freight transport in Europe using constructed dependent variables","authors":"Bart Jourquin","doi":"10.1016/j.retrec.2025.101566","DOIUrl":"10.1016/j.retrec.2025.101566","url":null,"abstract":"<div><div>Elasticities can be used in the context of transport policy decisions to estimate the impact of changes in transport costs, or the impact of new infrastructure on traffic or modal split, for example. Their estimation is often made difficult by the lack of available data, especially when the study area represents a large international territory.</div><div>In this context, a modal choice model with three explanatory variables is presented. In a fairly standard way, transport costs and transit times are used. The originality of the model presented is that it also incorporates two accessibility measures and that the values for the three explanatory variables are computed using origin-destination matrices and digitized networks. Transport costs and transit times are calculated for each origin-destination relationship, type of commodity and transport mode, using a transport network model. The latest also provides the length of each relationship, which is used, along with the annual transported tons, to calculate two accessibility measures.</div><div>The article explains why accessibility finds its place in the utility function used in the modal choice model and shows how it improves the model's performance.</div><div>The model is further used to compute a set of direct and cross freight demand elasticities for road, inland waterways and rail transport with respect to a change in the total cost of transport on the European territory. The computed elasticities are compared with other values identified in the literature. The presented values can be considered as being credible and robust.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101566"},"PeriodicalIF":4.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Walking Women: Exploring gender differences in perceived physical exertion of walking short-distance trips in Malta","authors":"Karyn Scerri, Maria Attard","doi":"10.1016/j.retrec.2025.101565","DOIUrl":"10.1016/j.retrec.2025.101565","url":null,"abstract":"<div><div>Gendered travel behaviour differences when using active travel modes are a key line of research. This is particularly important in the context of different geographic realities and cities to support policy-relevant research that discourages private motorized vehicle use. There is a need to focus on the urban contexts where there is the opportunity to reduce car use for short, walkable distances. In this study, such mobility behaviour is researched within the context of the car-dependent, Euro-Mediterranean Island of Malta. A web-based survey was distributed in Malta's principal urban area (n = 855) to examine potential gender differences in people's modal choices, their perceived exertion of a short-distance walking trip, and the threshold distance for walking. The findings show an overall significantly higher frequency of car use in comparison to walking, but only slight gender differences. There were no significant gender differences between the perceived exertion scores for walking a short-distance trip and for reported distance thresholds for walking, Respondents were willing to walk an average of 17 min or 1.3 km even if they have a car available for the same trip. The research reveals significant correlations between the walking and car use frequencies, perceived exertion, and distance thresholds of the respondents and these are discussed with policy-relevant suggestions for reducing reliance on motorized vehicle use and encouraging active travel.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101565"},"PeriodicalIF":4.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrés Rodríguez, Maira Delgado-Lindeman, Silvia Sipone, Luigi dell’Olio
{"title":"Gender dynamics in electric bike-sharing: Insights on usage and fare structures","authors":"Andrés Rodríguez, Maira Delgado-Lindeman, Silvia Sipone, Luigi dell’Olio","doi":"10.1016/j.retrec.2025.101561","DOIUrl":"10.1016/j.retrec.2025.101561","url":null,"abstract":"<div><div>Bike-sharing systems offer an efficient urban mobility solution by reducing traffic congestion, improving health, reducing pollution and promoting intermodality. Designing a pricing strategy for urban electric bicycle rental systems is an important issue to guarantee the desired levels of system adoption. This research explores gender differences in willingness to pay for and use electric bike-sharing services through two case studies, Santander (Spain) and Cartagena (Colombia). The methodology involved creating a survey to collect data on the socioeconomic characteristics of participants, their current patterns of bicycle use, and their future use of the electric bike-sharing system. Additionally, the survey explores preferences for e-bike system prices through a stated preference experiment.</div><div>Various discrete choice models were estimated to evaluate willingness to pay and elasticities based on different pricing scenarios, including per-use tariffs and annual subscriptions. The results provide variations in context and gender in the perceived value and willingness to pay for bike-sharing services. The study of elasticities reveals that users in Santander are more sensitive to changes in subscription costs and pay-per-use fees than users in Cartagena. Also, women are more sensitive to price changes in both contexts, with higher sensitivity in Santander. This research contributes to an understanding of the factors that influence the acceptance and use of e-bike systems, highlighting the influence of gender when designing and assessing the suitability of rental bike systems in different cities.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101561"},"PeriodicalIF":4.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding the effects of vehicle portfolios on plug-in electric vehicles (PEVs)-adopting households’ vehicle replacement decision: an application of vehicles transaction model","authors":"Jean Y. Ji , David S. Bunch , Alan Jenn","doi":"10.1016/j.retrec.2025.101559","DOIUrl":"10.1016/j.retrec.2025.101559","url":null,"abstract":"<div><div>Research on plug-in electric vehicles (PEVs) adoption to date has focused on understanding consumers' vehicle purchase decisions as single vehicle transactions. This research expands on this decision-making process by employing a vehicle transaction model to account for vehicle portfolio preferences at the household level. By leveraging discrete choice modeling techniques, specifically mixed multinomial logistic regression, we evaluate a sample of two-vehicle and PEV-adopting Californian households' vehicle transactions from 2017 to 2020. Our results demonstrate that there are strong complementarities among certain vehicle classes. Namely, PEV-adopting households are more likely to pair a car with a large truck or a SUV than with another car. Fuel type complementarities are also observed as households prefer to own a PEV and an internal combustion engine vehicle (ICEV) rather than a PEV-PEV portfolio. We also investigate households' income elasticity of choice for PEVs by quantifying their income sensitivity to the capital costs and operating costs of their vehicle portfolios. The implications of our work are two-fold: by applying the vehicle transaction model to empirical data, we estimate households’ preference parameters for PEVs attributes and portfolios. These results contribute to the growing literature on the quantitative understanding of vehicle replacement decisions for PEV-adopting households. Our work also has implications for the projection of vehicle fleets, where understanding how households take vehicle portfolio complementarities into account is essential for future projections of vehicle fleets.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101559"},"PeriodicalIF":4.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling the brand choice behavior of shared micro-mobility users: A case of electric scooter sharing","authors":"Yu-Shyun Chien , Chung-Cheng Lu","doi":"10.1016/j.retrec.2025.101556","DOIUrl":"10.1016/j.retrec.2025.101556","url":null,"abstract":"<div><div>The growing number of shared micro-mobility service providers coexisting in the market has diversified the market composition, leading to challenges in expanding their own-brand market share. Therefore, developing effective strategies for competition and marketing requires a deeper understanding of users' choice behavior among heterogeneous service providers. However, most previous studies often overlook the heterogeneity among service providers, resulting in limitations in precisely explaining users' choice behavior. To address this research gap, a hybrid choice modeling approach is employed to explore the brand choice behavior within the same transport service. The proposed brand choice model integrates various latent variables, such as brand attitude and shared micro-mobility usage characteristics, to capture the key factors influencing users' service provider choices. Using electric scooter sharing (ESS) as a case study, stated preference data were collected to analyze the choice behavior of ESS users. The results show that travel attributes, latent variables, and socioeconomic characteristics have significant direct effects on choice probability, whereas brand attitude has substantial mediation effects, revealing the importance of brand evaluation on users' choice behavior. The managerial insights derived will enhance the competitive and marketing strategies of ESS service providers, while the policy implications will provide direction for government planning.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101556"},"PeriodicalIF":4.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 bus drivers' intentions to collaborate with level 4 autonomous buses: Integrating the technology acceptance model and assemblage theory","authors":"Jyun-Kai Liang , Yu-Kai Huang , Chung-Cheng Lu","doi":"10.1016/j.retrec.2025.101555","DOIUrl":"10.1016/j.retrec.2025.101555","url":null,"abstract":"<div><div>As AI proliferates, human-AI collaboration has become necessary in many domains, not least in public transportation, where highly automated, if not fully driverless buses, require human-AI cooperation. However, existing technology acceptance models lack insight into the unique factors that influence acceptance in collaborative human-AI contexts. This study integrates the Technology Acceptance Model (TAM) with Assemblage Theory to provide a comprehensive framework that does explicate key mechanisms underlying bus drivers' behavioral intentions toward Level 4 autonomous buses. Drawing upon Assemblage Theory, we conceptualize the driver and the autonomous bus as a human-machine collaborative assemblage. Perceived usefulness and perceived ease of use from TAM are modeled as antecedents, with compatibility and trust from Assemblage Theory as mediators, predicting attitude and behavioral intention. The theoretical model is examined using structural equation modeling on data collected from 719 bus drivers of four major transit companies in Taipei. Results robustly support all hypotheses, with perceived usefulness exhibiting stronger positive effects on trust and compatibility than perceived ease of use. Trust and compatibility positively influenced attitude, which strongly predicted behavioral intention to cooperate with Level 4 autonomous bus introduction. The empirical findings show TAM is enriched by the integration of Assemblage Theory concepts, extending both theories' ability to facilitate autonomous mobility human-AI collaboration.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"111 ","pages":"Article 101555"},"PeriodicalIF":4.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}