Pub Date : 2026-01-31DOI: 10.1016/j.rtbm.2026.101617
Saurabh Kumar , Syeedun Nisa , Reshma Nasreen
This study aimed to identify determinants of electric vehicles (EVs) adoption intention (AI) given the limited availability and low awareness of EVs in India. Adopting a novel theoretical perspective, the study assessed the role of the government (as an enforcer through indirect actions) on the users' EVs AI. Purposive sampling was employed to disseminate the survey questionnaire in the National Capital Region of India, resulting in 614 responses selected for final analysis. Multiple regression and the PROCESS macro were utilized for model validation and hypothesis testing. The findings indicated that government enforcement–indirect actions (GEIA), complexity (i.e., less complex mechanism), purchase price, and financial-non financial incentives had a highest effect on EVs AI, among all significant influencers with GEIA emerging as the strongest predictor (β 0.328, p < 0.001) after controlling for socio-psycho and demographic variables. Further investigation proved a substantial indirect effect of GEIA on the relationship between influencing variables (socio-psycho-contextual) and EVs AI. The study addressed the gaps in the literature and overlooked cause-and-effect relationships through an original research methodology, identified the relevant influencing variables of EVs AI, and introduced GEIA as a significant contributing factor affecting EVs AI directly and indirectly.
鉴于印度电动汽车的可用性有限和认知度低，本研究旨在确定电动汽车（ev）采用意图（AI）的决定因素。该研究采用新颖的理论视角，评估了政府（通过间接行动作为执行者）对用户电动汽车人工智能的作用。采用有目的抽样的方法在印度国家首都地区发放调查问卷，最终选出614份回复进行最终分析。采用多元回归和PROCESS宏观进行模型验证和假设检验。研究结果表明，在所有显著影响因素中，政府执法-间接行动（GEIA）、复杂性（即不太复杂的机制）、购买价格和财政-非财政激励对电动汽车人工智能的影响最大，在控制社会心理和人口变量后，GEIA成为最强的预测因子（β 0.328, p < 0.001）。进一步的调查证明了GEIA对影响变量（社会心理情境）与电动汽车AI之间的关系具有实质性的间接影响。本研究通过独创的研究方法弥补了文献空白和忽略因果关系的问题，确定了电动汽车人工智能的相关影响变量，并引入了GEIA作为直接和间接影响电动汽车人工智能的重要贡献因素。
{"title":"Investigating government enforcement – Indirect actions and other factors roles in determining the adoption intention of battery-powered cars","authors":"Saurabh Kumar , Syeedun Nisa , Reshma Nasreen","doi":"10.1016/j.rtbm.2026.101617","DOIUrl":"10.1016/j.rtbm.2026.101617","url":null,"abstract":"<div><div>This study aimed to identify determinants of electric vehicles (EVs) adoption intention (AI) given the limited availability and low awareness of EVs in India. Adopting a novel theoretical perspective, the study assessed the role of the government (as an enforcer through indirect actions) on the users' EVs AI. Purposive sampling was employed to disseminate the survey questionnaire in the National Capital Region of India, resulting in 614 responses selected for final analysis. Multiple regression and the PROCESS macro were utilized for model validation and hypothesis testing. The findings indicated that government enforcement–indirect actions (GEIA), complexity (i.e., less complex mechanism), purchase price, and financial-non financial incentives had a highest effect on EVs AI, among all significant influencers with GEIA emerging as the strongest predictor (β 0.328, <em>p</em> < 0.001) after controlling for socio-psycho and demographic variables. Further investigation proved a substantial indirect effect of GEIA on the relationship between influencing variables (socio-psycho-contextual) and EVs AI. The study addressed the gaps in the literature and overlooked cause-and-effect relationships through an original research methodology, identified the relevant influencing variables of EVs AI, and introduced GEIA as a significant contributing factor affecting EVs AI directly and indirectly.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101617"},"PeriodicalIF":4.4,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079130","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}
Pub Date : 2026-01-31DOI: 10.1016/j.rtbm.2026.101616
Zuopeng Xiao , Yonglin Li , Xiangyu Du
The rapid growth of e-commerce has intensified the need for parcel delivery microhubs as essential nodes in urban logistics chains. While existing studies have examined the macro-level distribution of microhubs, they often overlook the heterogeneity of micro-scale built spaces and their influence on siting decisions. This research addresses this gap by using 2434 microhubs in the city of Shenzhen, China. Spatial coupling analysis reveals that microhubs are unevenly concentrated in four micro-scale built space types: village manufacturing areas, urban villages, commercial housing communities, and commercial and office parks. Results from a two-stage zero-inflated model indicate that limited transport accessibility and low delivery demand preclude microhub establishment. Conversely, areas with high population density and intensive commercial activities within a 3-km radius demonstrate significantly higher probabilities of microhub agglomeration. Notably, low-cost built environments such as village manufacturing areas and urban villages within these high-demand zones are particularly attractive to parcel delivery companies due to their affordable rents and fewer constraints on logistics activities. These insights underscore the necessity for urban development strategies that preserve affordable and flexible spaces to sustain the deployment of urban logistics infrastructure.
{"title":"How do heterogeneous micro-scale built spaces influence the location of parcel delivery microhubs? Evidence from the case of Shenzhen, China","authors":"Zuopeng Xiao , Yonglin Li , Xiangyu Du","doi":"10.1016/j.rtbm.2026.101616","DOIUrl":"10.1016/j.rtbm.2026.101616","url":null,"abstract":"<div><div>The rapid growth of e-commerce has intensified the need for parcel delivery microhubs as essential nodes in urban logistics chains. While existing studies have examined the macro-level distribution of microhubs, they often overlook the heterogeneity of micro-scale built spaces and their influence on siting decisions. This research addresses this gap by using 2434 microhubs in the city of Shenzhen, China. Spatial coupling analysis reveals that microhubs are unevenly concentrated in four micro-scale built space types: village manufacturing areas, urban villages, commercial housing communities, and commercial and office parks. Results from a two-stage zero-inflated model indicate that limited transport accessibility and low delivery demand preclude microhub establishment. Conversely, areas with high population density and intensive commercial activities within a 3-km radius demonstrate significantly higher probabilities of microhub agglomeration. Notably, low-cost built environments such as village manufacturing areas and urban villages within these high-demand zones are particularly attractive to parcel delivery companies due to their affordable rents and fewer constraints on logistics activities. These insights underscore the necessity for urban development strategies that preserve affordable and flexible spaces to sustain the deployment of urban logistics infrastructure.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101616"},"PeriodicalIF":4.4,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079131","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}
Pub Date : 2026-01-30DOI: 10.1016/j.rtbm.2025.101591
Utpal Deka, Deepthi Mary Dilip
This paper explores the financial sustainability of Demand Responsive Transport (DRT) using empirical operations data from Dubai's Bus on Demand (DBOD) system. A regression-based methodological framework was developed to predict the Cost Recovery Ratio (CRR) – a key measure of operational viability - by determining and measuring the influence of core Key Performance Indicators (KPIs) including vehicle utilization, fleet size, circuity factor, completed ride percentage and vehicle miles travelled. The study employs a multi-stage statistical approach comprising bivariate correlation and Variance Inflation Factor (VIF) analysis to address multicollinearity and ensure robust variable selection. Five regression models (linear, interaction-based, log-linear, hybrid, and log-linear with interaction terms) were evaluated using R2, Nash–Sutcliffe Efficiency (NSE) and Mean Squared Error (MSE) as performance metrics. The log-linear model (Model 3) emerged as the most robust and comprehensible, effectively capturing non-linear relationships while avoiding overfitting. Sensitivity analysis revealed that vehicle utilization and fleet size demonstrated uniform positive impact on CRR, whereas vehicle miles showed a strong negative correlation. The research contributes a user-friendly analytical decision-support tool for mobility operators, enabling evidence-based resource allocation and service optimization without requiring advanced analytical tools or expert intervention. By integrating academic rigor with practical operational applicability, this study demonstrates how simplified statistical modeling can enhance cost effectiveness and inform KPI based performance planning in shared mobility systems, particularly in low-density service areas or first-and-last mile scenarios.
{"title":"Analytics-driven cost recovery modeling for demand responsive transport: Integrating demand patterns and operational performance data","authors":"Utpal Deka, Deepthi Mary Dilip","doi":"10.1016/j.rtbm.2025.101591","DOIUrl":"10.1016/j.rtbm.2025.101591","url":null,"abstract":"<div><div>This paper explores the financial sustainability of Demand Responsive Transport (DRT) using empirical operations data from Dubai's Bus on Demand (DBOD) system. A regression-based methodological framework was developed to predict the Cost Recovery Ratio (CRR) – a key measure of operational viability - by determining and measuring the influence of core Key Performance Indicators (KPIs) including vehicle utilization, fleet size, circuity factor, completed ride percentage and vehicle miles travelled. The study employs a multi-stage statistical approach comprising bivariate correlation and Variance Inflation Factor (VIF) analysis to address multicollinearity and ensure robust variable selection. Five regression models (linear, interaction-based, log-linear, hybrid, and log-linear with interaction terms) were evaluated using R<sup>2</sup>, Nash–Sutcliffe Efficiency (NSE) and Mean Squared Error (MSE) as performance metrics. The log-linear model (Model 3) emerged as the most robust and comprehensible, effectively capturing non-linear relationships while avoiding overfitting. Sensitivity analysis revealed that vehicle utilization and fleet size demonstrated uniform positive impact on CRR, whereas vehicle miles showed a strong negative correlation. The research contributes a user-friendly analytical decision-support tool for mobility operators, enabling evidence-based resource allocation and service optimization without requiring advanced analytical tools or expert intervention. By integrating academic rigor with practical operational applicability, this study demonstrates how simplified statistical modeling can enhance cost effectiveness and inform KPI based performance planning in shared mobility systems, particularly in low-density service areas or first-and-last mile scenarios.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101591"},"PeriodicalIF":4.4,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079248","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}
Pub Date : 2026-01-29DOI: 10.1016/j.rtbm.2026.101618
Zheng Wang , Rong Deng , Robbie Napper , Zhiyuan Wang
The development of age-friendly smart bus services is a vital aspect of sustainable urban development and sustainable transport, particularly in the context of an increasingly aging population and the growing demand for elderly-adaptive transit systems. However, significant research gaps remain in understanding the user experience of older adults in such systems. Moreover, how to optimize smart transit services to encourage seniors' outdoor activities and consumption—thereby promoting the silver economy and achieving truly sustainable smart public transport—has yet to receive sufficient scholarly attention. This study adopts a mixed-methods approach combining user interviews, literature review, and Process Chain Network (PCN) analysis to design an integrated age-friendly smart bus service system. The proposed system encompasses digital mobile applications, physical vehicles, and operational service mechanisms. A corresponding user experience evaluation scale was developed and validated using factor analysis and linear regression. Seven key dimensions were identified: service quality, information accessibility, operational scheduling, interpersonal interaction, social equity, perceived usefulness, and environmental atmosphere. All were found to positively influence satisfaction. Among them, service quality, information accessibility, operational scheduling, and perceived usefulness consistently played a dominant role in both real-time experience and overall satisfaction assessments, warranting prioritized focus. This study establishes for the first time a user experience evaluation scale for aging-friendly smart bus services and proposes a systematic service design framework. By constructing a satisfaction model, the design is validated and the priority differences among factors between real-time experience and overall satisfaction are compared. The findings provide theoretical foundations and practical guidance for optimizing such services, demonstrating significant research value.
{"title":"Bridging the digital divide in older adults' smart public transport experience: A design proposal and validation study based on PCN and factor analysis","authors":"Zheng Wang , Rong Deng , Robbie Napper , Zhiyuan Wang","doi":"10.1016/j.rtbm.2026.101618","DOIUrl":"10.1016/j.rtbm.2026.101618","url":null,"abstract":"<div><div>The development of age-friendly smart bus services is a vital aspect of sustainable urban development and sustainable transport, particularly in the context of an increasingly aging population and the growing demand for elderly-adaptive transit systems. However, significant research gaps remain in understanding the user experience of older adults in such systems. Moreover, how to optimize smart transit services to encourage seniors' outdoor activities and consumption—thereby promoting the silver economy and achieving truly sustainable smart public transport—has yet to receive sufficient scholarly attention. This study adopts a mixed-methods approach combining user interviews, literature review, and Process Chain Network (PCN) analysis to design an integrated age-friendly smart bus service system. The proposed system encompasses digital mobile applications, physical vehicles, and operational service mechanisms. A corresponding user experience evaluation scale was developed and validated using factor analysis and linear regression. Seven key dimensions were identified: service quality, information accessibility, operational scheduling, interpersonal interaction, social equity, perceived usefulness, and environmental atmosphere. All were found to positively influence satisfaction. Among them, service quality, information accessibility, operational scheduling, and perceived usefulness consistently played a dominant role in both real-time experience and overall satisfaction assessments, warranting prioritized focus. This study establishes for the first time a user experience evaluation scale for aging-friendly smart bus services and proposes a systematic service design framework. By constructing a satisfaction model, the design is validated and the priority differences among factors between real-time experience and overall satisfaction are compared. The findings provide theoretical foundations and practical guidance for optimizing such services, demonstrating significant research value.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101618"},"PeriodicalIF":4.4,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079129","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}
Integrating air transport with alternative modes of transport holds great promise for substituting short-distance flights in regions like Europe, provided that the benefits of existing transport networks are preserved. Effective multimodal integration requires collaboration among transport operators and hubs to enhance the passenger experience. This study explored the perspectives of these practitioners across Europe through an interview-based case study, identifying key factors for a passenger-oriented multimodal air journey and examining the mechanisms that influence their delivery.
The findings reveal five Passenger Experience Factors (PEFs) that contribute to a successful passenger-oriented multimodal air journey: 1) integration of booking systems; 2) whole journey guidance; 3) transfer time and ease; 4) baggage management; and 5) disruption management.
We found that delivering these PEFs necessitates support processes within and between organizations to align, including IT, infrastructure, scheduling, operations, commercial, interorganizational, and strategic efforts. Additionally, external conditions – such as market dynamics and regulatory frameworks – play a pivotal role in either enabling or constraining these efforts. We discovered that these underlying support processes converge in delivery mechanisms that influence the provision of PEFs for multimodal air travel.
The findings emphasize that while airlines often lead in shaping the multimodal experience, progress is hindered by fragmented responsibilities, misaligned incentives among operators, and market competition. It is crucial to recognize that delivering passenger-oriented multimodal journeys requires effective cross-system collaboration, and that a regulatory framework must be established to create conditions for more sustainable transportation integration.
{"title":"Key factors and delivery mechanisms for passenger-oriented multimodal air journeys: A European practitioners' perspective","authors":"Aniek Toet , Jasper van Kuijk , Klaas Boersma , Sicco Santema","doi":"10.1016/j.rtbm.2026.101610","DOIUrl":"10.1016/j.rtbm.2026.101610","url":null,"abstract":"<div><div>Integrating air transport with alternative modes of transport holds great promise for substituting short-distance flights in regions like Europe, provided that the benefits of existing transport networks are preserved. Effective multimodal integration requires collaboration among transport operators and hubs to enhance the passenger experience. This study explored the perspectives of these practitioners across Europe through an interview-based case study, identifying key factors for a passenger-oriented multimodal air journey and examining the mechanisms that influence their delivery.</div><div>The findings reveal five Passenger Experience Factors (PEFs) that contribute to a successful passenger-oriented multimodal air journey: 1) integration of booking systems; 2) whole journey guidance; 3) transfer time and ease; 4) baggage management; and 5) disruption management.</div><div>We found that delivering these PEFs necessitates support processes within and between organizations to align, including IT, infrastructure, scheduling, operations, commercial, interorganizational, and strategic efforts. Additionally, external conditions – such as market dynamics and regulatory frameworks – play a pivotal role in either enabling or constraining these efforts. We discovered that these underlying support processes converge in delivery mechanisms that influence the provision of PEFs for multimodal air travel.</div><div>The findings emphasize that while airlines often lead in shaping the multimodal experience, progress is hindered by fragmented responsibilities, misaligned incentives among operators, and market competition. It is crucial to recognize that delivering passenger-oriented multimodal journeys requires effective cross-system collaboration, and that a regulatory framework must be established to create conditions for more sustainable transportation integration.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101610"},"PeriodicalIF":4.4,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079249","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}
Pub Date : 2026-01-29DOI: 10.1016/j.rtbm.2026.101614
Min-Seop Sim , Yul-Seong Kim , Chang-Hee Lee
As departure and arrival points for all modes of maritime transport, ports are pivotal to Korea's economic growth. Additionally, there is currently global discourse on enhancing the eco-friendliness of all ports and implementing safe working environments. However, despite these changing trends and social consensus, comprehensive research on port efficiency that considers a range of factors is scarce. Therefore, this study analyzes the comprehensive efficiency of Korean state-managed trade ports by evaluating it on the basis of three areas: operational efficiency, safety efficiency, and environmental efficiency. It also identifies each port's strengths and weaknesses through portfolio analysis and establishes operational strategies. The study employed a slacks-based measure data envelopment analysis and an undesirable output model to analyze overall efficiency. The findings identify Busan Port, Ulsan Port, and Yeosu–Gwangyang Port as the most efficient ports in all three areas. Further, the portfolio analysis indicates that Gunsan and Daesan ports strongly emphasize safety, whereas Incheon Port would benefit from implementing a marketing strategy that emphasizes eco-friendliness. Finally, Pohang Port, Masan Port, Mokpo Port, and Donghae and Mukho Port were found to deviate from the standards of safety and eco-friendly port operations. These findings have significant implications for the operational strategies and competitive advantage strategies of Korean ports.
{"title":"Comprehensive efficiency analysis of ports in South Korea: An evaluation of operational, safety, and environmental competencies","authors":"Min-Seop Sim , Yul-Seong Kim , Chang-Hee Lee","doi":"10.1016/j.rtbm.2026.101614","DOIUrl":"10.1016/j.rtbm.2026.101614","url":null,"abstract":"<div><div>As departure and arrival points for all modes of maritime transport, ports are pivotal to Korea's economic growth. Additionally, there is currently global discourse on enhancing the eco-friendliness of all ports and implementing safe working environments. However, despite these changing trends and social consensus, comprehensive research on port efficiency that considers a range of factors is scarce. Therefore, this study analyzes the comprehensive efficiency of Korean state-managed trade ports by evaluating it on the basis of three areas: operational efficiency, safety efficiency, and environmental efficiency. It also identifies each port's strengths and weaknesses through portfolio analysis and establishes operational strategies. The study employed a slacks-based measure data envelopment analysis and an undesirable output model to analyze overall efficiency. The findings identify Busan Port, Ulsan Port, and Yeosu–Gwangyang Port as the most efficient ports in all three areas. Further, the portfolio analysis indicates that Gunsan and Daesan ports strongly emphasize safety, whereas Incheon Port would benefit from implementing a marketing strategy that emphasizes eco-friendliness. Finally, Pohang Port, Masan Port, Mokpo Port, and Donghae and Mukho Port were found to deviate from the standards of safety and eco-friendly port operations. These findings have significant implications for the operational strategies and competitive advantage strategies of Korean ports.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101614"},"PeriodicalIF":4.4,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079243","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}
Pub Date : 2026-01-29DOI: 10.1016/j.rtbm.2026.101615
Chieh-Hua Wen, Peng-Chuan Li
Flight delays are one of the most common problems in the aviation industry. This study examines the determinants of the willingness to accept compensation offered by low-cost airlines for delayed flights. The willingness to accept using the contingent valuation method is used to investigate the amount of compensation for long delays before departure. Hypothetical scenarios involving flight delays are generated, and the payment card method is used to determine the range of starting bid values. Double-bounded dichotomous choice survey data, a bivariate probit model, and data collected from the Taoyuan International Airport in Taiwan are used to estimate compensation equations. The results indicate that the willingness to accept compensation is associated with sex, age, personal income, the purpose of the trip, nationality of the passengers, and preferences for alternative travel options. As the compensation offer increases, the probability that passengers will accept it also increases. The mean values of willingness to accept compensation range from US $34–$89 for a four-hour delay to US $131–$200 for an eight-hour delay. These estimates align with existing provisions, such as the JetBlue Airways customer protection program.
{"title":"Determinants of the willingness to accept compensation for flight delays by low-cost airlines","authors":"Chieh-Hua Wen, Peng-Chuan Li","doi":"10.1016/j.rtbm.2026.101615","DOIUrl":"10.1016/j.rtbm.2026.101615","url":null,"abstract":"<div><div>Flight delays are one of the most common problems in the aviation industry. This study examines the determinants of the willingness to accept compensation offered by low-cost airlines for delayed flights. The willingness to accept using the contingent valuation method is used to investigate the amount of compensation for long delays before departure. Hypothetical scenarios involving flight delays are generated, and the payment card method is used to determine the range of starting bid values. Double-bounded dichotomous choice survey data, a bivariate probit model, and data collected from the Taoyuan International Airport in Taiwan are used to estimate compensation equations. The results indicate that the willingness to accept compensation is associated with sex, age, personal income, the purpose of the trip, nationality of the passengers, and preferences for alternative travel options. As the compensation offer increases, the probability that passengers will accept it also increases. The mean values of willingness to accept compensation range from US $34–$89 for a four-hour delay to US $131–$200 for an eight-hour delay. These estimates align with existing provisions, such as the JetBlue Airways customer protection program.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101615"},"PeriodicalIF":4.4,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079250","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}
Pub Date : 2026-01-23DOI: 10.1016/j.rtbm.2026.101611
Aylin Altun , Ralf Elbert , Mahnam Saeednia
The climate objectives necessitate a modal shift of freight transport from road to rail, with single wagon load (SWL) transport playing a critical role due to its direct competition with truck transport. This paper investigates the impact of innovative freight wagon concepts on enhancing the competitiveness of SWL transport. Interviews with professionals from the SWL sector were conducted using a qualitative single-case study approach.
The findings reveal that retrofitting conventional freight wagons with innovative designs can significantly influence operational processes, including wagon disposition planning, turnaround times, and other key performance metrics. These improvements are likely to boost the competitiveness of SWL transport, contributing to an increased share of rail in the modal split.
This study adds to the literature on SWL transport by offering a focused analysis of how innovative freight solutions can address the sector's operational challenges. Furthermore, it provides practical insights for managers, emphasising the importance of adopting innovative wagon technologies to optimise efficiency, reduce costs, and strengthen the market position of SWL transport in the evolving freight sector.
{"title":"Innovative freight wagons in single wagon load transport: Potentials and impacts on improvement of competitiveness","authors":"Aylin Altun , Ralf Elbert , Mahnam Saeednia","doi":"10.1016/j.rtbm.2026.101611","DOIUrl":"10.1016/j.rtbm.2026.101611","url":null,"abstract":"<div><div>The climate objectives necessitate a modal shift of freight transport from road to rail, with single wagon load (SWL) transport playing a critical role due to its direct competition with truck transport. This paper investigates the impact of innovative freight wagon concepts on enhancing the competitiveness of SWL transport. Interviews with professionals from the SWL sector were conducted using a qualitative single-case study approach.</div><div>The findings reveal that retrofitting conventional freight wagons with innovative designs can significantly influence operational processes, including wagon disposition planning, turnaround times, and other key performance metrics. These improvements are likely to boost the competitiveness of SWL transport, contributing to an increased share of rail in the modal split.</div><div>This study adds to the literature on SWL transport by offering a focused analysis of how innovative freight solutions can address the sector's operational challenges. Furthermore, it provides practical insights for managers, emphasising the importance of adopting innovative wagon technologies to optimise efficiency, reduce costs, and strengthen the market position of SWL transport in the evolving freight sector.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101611"},"PeriodicalIF":4.4,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039352","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}
Pub Date : 2026-01-23DOI: 10.1016/j.rtbm.2026.101612
Minhyung Lee , HanByeol Stella Choi , Sulim Kim , Heeseok Lee
Carsharing services have gained popularity as part of the sharing economy trend, allowing individuals to share assets and services online. This study explores the impact of access-based consumption services like carsharing on driving behaviors and urban car accidents, drawing from existing literature on consumption patterns. Through a difference-in-differences analysis using data from major carsharing companies, it is found that the introduction of carsharing services has a mixed effect on car accidents, influenced by drivers' experience levels. While accidents involving inexperienced or young drivers tend to increase, those involving experienced drivers remain unaffected. These findings have significance for both theory and management in understanding the dynamics of carsharing's influence on driving habits.
{"title":"Impact of carsharing services on urban car accidents: An antithetic role of driving experience","authors":"Minhyung Lee , HanByeol Stella Choi , Sulim Kim , Heeseok Lee","doi":"10.1016/j.rtbm.2026.101612","DOIUrl":"10.1016/j.rtbm.2026.101612","url":null,"abstract":"<div><div>Carsharing services have gained popularity as part of the sharing economy trend, allowing individuals to share assets and services online. This study explores the impact of access-based consumption services like carsharing on driving behaviors and urban car accidents, drawing from existing literature on consumption patterns. Through a difference-in-differences analysis using data from major carsharing companies, it is found that the introduction of carsharing services has a mixed effect on car accidents, influenced by drivers' experience levels. While accidents involving inexperienced or young drivers tend to increase, those involving experienced drivers remain unaffected. These findings have significance for both theory and management in understanding the dynamics of carsharing's influence on driving habits.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101612"},"PeriodicalIF":4.4,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039356","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}
Pub Date : 2026-01-22DOI: 10.1016/j.rtbm.2026.101609
Nidhi Kathait, Amit Agarwal
Bicycle-sharing has attracted attention worldwide as a smart, sustainable, and active transportation option. This study aims to examine the psychological factors influencing behavioral intention to adopt public bicycle-sharing services (PBSS) in India, where bicycle-sharing is still at a nascent stage. The priori acceptance of PBSS is evaluated to understand the role of the various psychological factors during the initial stage of technology introduction. For this purpose, the technology acceptance model is extended where psychological constructs perceived fun (PF), subjective norm (SN), environmental value (EV), health value (HV), functional value (FV), perceived risk (PR), and transactional assurance (TA) are incorporated in the model, along with the original constructs (i.e., perceived usefulness (PU), perceived ease of use (PEoU) and behavioral intention (BI). A hybrid two-staged Structural Equation Modeling (SEM) - Artificial Neural Network (ANN) approach is proposed for the analysis that allows for both causal relationship assessment and accurate prediction analysis. The results of the SEM-ANN analysis revealed that PU, PF, SN, and FV are the most significant predictors of intention to use PBSS, followed by HV and EV. Surprisingly, neither TA nor PR had a statistically significant impact on BI. However, TA is positively associated with PEoU, while PR negatively predicts it. Nonetheless, PEoU does not have a significant direct impact on behavioral intention to adopt PBSS. The findings of the hybrid approach contribute toward the theory-building of PBSS acceptance at an early stage and thus provide ways in which decision-makers and policymakers can incorporate the findings while promoting PBSS adoption.
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