Indonesia's air transport network plays a crucial role in national connectivity; however, the island-specific effects on airport performance remain understudied. The analysis covers 77 Indonesian airports from 2016 to 2023, applying a Game Cross-Efficiency Data Envelopment Analysis (DEA) model to capture competitive relationships among airports. Following this, Tobit regression and multi-period Difference-in-Differences (DiD) analysis identify efficiency drivers and isolate causal effects of ownership. The results show that evident regional disparities exist, with Java Island and Injourney-managed airports exhibiting higher efficiency. Specifically, key factors influencing efficiency include gross regional domestic product, unemployment, and airport location. Moreover, ownership transfer to Injourney led to a short-term decline in efficiency, followed by medium-term gains, whereas the pandemic caused severe and sustained disruption. Overall, the study emphasizes targeted investment in underperforming regions, tailored transition policies, and resilience planning to strengthen the air transport system.
{"title":"Assessing the performance of airports in Indonesia based on game cross-efficiency DEA model","authors":"Andry Yuliyanto , Chania Rahmah , Nevin Geraldo Kosasih","doi":"10.1016/j.rtbm.2025.101555","DOIUrl":"10.1016/j.rtbm.2025.101555","url":null,"abstract":"<div><div>Indonesia's air transport network plays a crucial role in national connectivity; however, the island-specific effects on airport performance remain understudied. The analysis covers 77 Indonesian airports from 2016 to 2023, applying a Game Cross-Efficiency Data Envelopment Analysis (DEA) model to capture competitive relationships among airports. Following this, Tobit regression and multi-period Difference-in-Differences (DiD) analysis identify efficiency drivers and isolate causal effects of ownership. The results show that evident regional disparities exist, with Java Island and Injourney-managed airports exhibiting higher efficiency. Specifically, key factors influencing efficiency include gross regional domestic product, unemployment, and airport location. Moreover, ownership transfer to Injourney led to a short-term decline in efficiency, followed by medium-term gains, whereas the pandemic caused severe and sustained disruption. Overall, the study emphasizes targeted investment in underperforming regions, tailored transition policies, and resilience planning to strengthen the air transport system.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101555"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467361","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 : 2026-01-01Epub Date: 2025-11-28DOI: 10.1016/j.rtbm.2025.101566
Miaojia Lu , Rui Liu , Gonçalo Homem de Almeida Correia , Kuldeep Kavta , Chengyuan Huang
With the rapid growth of instant delivery services in China, the number of couriers is rising due to low entry barriers such as minimal educational requirements, flexible hours, and competitive salaries. However, the industry faces challenges like excessive workloads and high accident rates, which could reduce couriers' job satisfaction. While the literature on couriers' job satisfaction is extensive, the application of holistic needs-based theories remains unexplored, particularly through advanced quantitative methods. This study operationalizes Maslow's Hierarchy of Needs Theory (MHNT) as a multi-dimensional construct and incorporates it into a Structural Equation Modeling (SEM) framework to examine its hierarchical impact on job satisfaction. Additionally, it explores the impact of physical health, occupational discrimination, and new technologies on couriers' job satisfaction. To test the framework and derive a nuanced understanding of factors influencing courier job satisfaction, data from 490 couriers in Shanghai, China, and nearby areas was collected. To account for differences in employment types, the survey data was split into full-time and part-time courier groups, with a multigroup analysis conducted using a structural equation model. The results show differing factors influencing job satisfaction. Part-time couriers are significantly affected by compensation and working environment, while full-time couriers are, besides compensation and working environment, also influenced by career development. These findings enhance the understanding of work conditions and motivators for couriers across different employment types within the instant delivery sector, offering key insights to enhance courier job satisfaction and promote sustainable development of this business.
{"title":"Examining couriers' job satisfaction in instant delivery services: A structural equation model with multi-group analysis based on Maslow's hierarchy of needs theory","authors":"Miaojia Lu , Rui Liu , Gonçalo Homem de Almeida Correia , Kuldeep Kavta , Chengyuan Huang","doi":"10.1016/j.rtbm.2025.101566","DOIUrl":"10.1016/j.rtbm.2025.101566","url":null,"abstract":"<div><div>With the rapid growth of instant delivery services in China, the number of couriers is rising due to low entry barriers such as minimal educational requirements, flexible hours, and competitive salaries. However, the industry faces challenges like excessive workloads and high accident rates, which could reduce couriers' job satisfaction. While the literature on couriers' job satisfaction is extensive, the application of holistic needs-based theories remains unexplored, particularly through advanced quantitative methods. This study operationalizes Maslow's Hierarchy of Needs Theory (MHNT) as a multi-dimensional construct and incorporates it into a Structural Equation Modeling (SEM) framework to examine its hierarchical impact on job satisfaction. Additionally, it explores the impact of physical health, occupational discrimination, and new technologies on couriers' job satisfaction. To test the framework and derive a nuanced understanding of factors influencing courier job satisfaction, data from 490 couriers in Shanghai, China, and nearby areas was collected. To account for differences in employment types, the survey data was split into full-time and part-time courier groups, with a multigroup analysis conducted using a structural equation model. The results show differing factors influencing job satisfaction. Part-time couriers are significantly affected by compensation and working environment, while full-time couriers are, besides compensation and working environment, also influenced by career development. These findings enhance the understanding of work conditions and motivators for couriers across different employment types within the instant delivery sector, offering key insights to enhance courier job satisfaction and promote sustainable development of this business.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101566"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614439","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 : 2026-01-01Epub Date: 2025-10-25DOI: 10.1016/j.rtbm.2025.101534
Bien Van Nguyen , Duy Quy Nguyen-Phuoc , Nhat Dinh Quang Vo , Diep Ngoc Su , Oscar Oviedo-Trespalacios
Urban transportation in Vietnam, dominated by fossil fuel-powered motorbikes, is causing severe air pollution, contributing to climate change, and posing a threat to public health. In response to these challenges, promoting the transition from traditional motorbikes to electric motorcycles (EMs) is considered a sustainable transportation solution, aligning with the global trend toward green development. However, to expand market share and enhance the acceptance of electric motorcycles, a deeper understanding of consumer perception and behavior is essential. This study aims to develop and test a research model based on the cognitive–affective–conative framework. Data collected from 506 conventional motorbike users in Vietnam were analyzed using the SEM method. The study employs a second-order model, grounded in the cognitive–affective–conative framework, to evaluate the relationship between perceived value and perceived cost with the intention to use electric motorcycles, mediated by the role of anticipated emotions. The findings clarify the role of perceived value and perceived cost in shaping customers' anticipated emotions, which significantly influence their intention to switch to electric motorcycles. These insights not only provide valuable information for manufacturers and policymakers but also contribute to shaping development and marketing strategies for electric motorcycles in the future.
{"title":"How value, cost, and emotions drive electric motorcycle adoption in Vietnam: A cognitive–affective–conative approach","authors":"Bien Van Nguyen , Duy Quy Nguyen-Phuoc , Nhat Dinh Quang Vo , Diep Ngoc Su , Oscar Oviedo-Trespalacios","doi":"10.1016/j.rtbm.2025.101534","DOIUrl":"10.1016/j.rtbm.2025.101534","url":null,"abstract":"<div><div>Urban transportation in Vietnam, dominated by fossil fuel-powered motorbikes, is causing severe air pollution, contributing to climate change, and posing a threat to public health. In response to these challenges, promoting the transition from traditional motorbikes to electric motorcycles (EMs) is considered a sustainable transportation solution, aligning with the global trend toward green development. However, to expand market share and enhance the acceptance of electric motorcycles, a deeper understanding of consumer perception and behavior is essential. This study aims to develop and test a research model based on the cognitive–affective–conative framework. Data collected from 506 conventional motorbike users in Vietnam were analyzed using the SEM method. The study employs a second-order model, grounded in the cognitive–affective–conative framework, to evaluate the relationship between perceived value and perceived cost with the intention to use electric motorcycles, mediated by the role of anticipated emotions. The findings clarify the role of perceived value and perceived cost in shaping customers' anticipated emotions, which significantly influence their intention to switch to electric motorcycles. These insights not only provide valuable information for manufacturers and policymakers but also contribute to shaping development and marketing strategies for electric motorcycles in the future.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101534"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418199","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 : 2026-01-01Epub Date: 2025-10-21DOI: 10.1016/j.rtbm.2025.101536
Shenzi Yang , Fan Li , Hong Sun
To assess the efficiency under different resource allocation scenarios and achieve a comprehensive efficiency ranking, based on flight training trainee panel data, this study uses egoistic and non-egoistic models to generate efficiency intervals. An attitude function is then incorporated into the possibility degree theory to achieve a complete ranking of training efficiency that considers the developmental preferences of trainees. The results show that most trainees achieve a good balance between flight training and team cooperation. Comparative results indicate that the proposed model is more stable than the super-efficiency model and more accurate than the virtual frontier model. The proposed method provides valuable insights into efficiency changes under different resource configurations, which offer guidance and optimization recommendations for both flight training institutions and trainees.
{"title":"Improved DEA model based on possibility degree theory for general aviation operational efficiency assessments","authors":"Shenzi Yang , Fan Li , Hong Sun","doi":"10.1016/j.rtbm.2025.101536","DOIUrl":"10.1016/j.rtbm.2025.101536","url":null,"abstract":"<div><div>To assess the efficiency under different resource allocation scenarios and achieve a comprehensive efficiency ranking, based on flight training trainee panel data, this study uses egoistic and non-egoistic models to generate efficiency intervals. An attitude function is then incorporated into the possibility degree theory to achieve a complete ranking of training efficiency that considers the developmental preferences of trainees. The results show that most trainees achieve a good balance between flight training and team cooperation. Comparative results indicate that the proposed model is more stable than the super-efficiency model and more accurate than the virtual frontier model. The proposed method provides valuable insights into efficiency changes under different resource configurations, which offer guidance and optimization recommendations for both flight training institutions and trainees.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101536"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364806","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 : 2026-01-01Epub Date: 2025-10-31DOI: 10.1016/j.rtbm.2025.101547
Ting-Hsiang Tseng , Muhammad Dliya'ul Haq , Artya Lathifah , Armando Susanto
This study examines the interaction between system quality, information quality, and perceived suitability of price in shaping customer outcomes such as value, brand image, satisfaction, and repurchase intentions within the ride-sharing industry. It specifically explores the dual moderating role of perceived suitability of price, analyzing how it strengthens and weakens the effects of system and information quality on brand image. Grounded in expectation-confirmation theory (ECT) and perceived value theory, the study utilizes Structural Equation Modeling (SEM) to analyze data collected from 509 ride-sharing users in Indonesia. Findings indicate that system and information quality enhance customer value and brand image, thereby boosting satisfaction and repurchase intentions. Notably, the perceived suitability of price was found to have a dual moderating effect: it enhances the positive impact of system quality on brand image and unexpectedly weakens the influence of information quality on brand image. These findings challenge the typical assumption that favorable price perceptions enhance brand evaluations, offering new insights for aligning service improvements with pricing strategies on digital platforms. In conclusion, these results provide actionable insights for ride-sharing platforms to optimize digital service delivery and pricing strategies, thereby enhancing customer satisfaction and loyalty, which support the development of more sustainable transportation solutions in the ride-sharing sector.
{"title":"Beyond price and quality: How perceived price suitability shapes consumer outcomes in ride-sharing services","authors":"Ting-Hsiang Tseng , Muhammad Dliya'ul Haq , Artya Lathifah , Armando Susanto","doi":"10.1016/j.rtbm.2025.101547","DOIUrl":"10.1016/j.rtbm.2025.101547","url":null,"abstract":"<div><div>This study examines the interaction between system quality, information quality, and perceived suitability of price in shaping customer outcomes such as value, brand image, satisfaction, and repurchase intentions within the ride-sharing industry. It specifically explores the dual moderating role of perceived suitability of price, analyzing how it strengthens and weakens the effects of system and information quality on brand image. Grounded in expectation-confirmation theory (ECT) and perceived value theory, the study utilizes Structural Equation Modeling (SEM) to analyze data collected from 509 ride-sharing users in Indonesia. Findings indicate that system and information quality enhance customer value and brand image, thereby boosting satisfaction and repurchase intentions. Notably, the perceived suitability of price was found to have a dual moderating effect: it enhances the positive impact of system quality on brand image and unexpectedly weakens the influence of information quality on brand image. These findings challenge the typical assumption that favorable price perceptions enhance brand evaluations, offering new insights for aligning service improvements with pricing strategies on digital platforms. In conclusion, these results provide actionable insights for ride-sharing platforms to optimize digital service delivery and pricing strategies, thereby enhancing customer satisfaction and loyalty, which support the development of more sustainable transportation solutions in the ride-sharing sector.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101547"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418197","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 : 2026-01-01Epub Date: 2025-11-03DOI: 10.1016/j.rtbm.2025.101552
Pengxiang Ding , Suwei Feng , Dorina Pojani
{"title":"Corrigendum to “The impact of China's Transit Metropolis Pilot program on carbon emissions” Research in Transportation Business & Management 64 (2026) 101544","authors":"Pengxiang Ding , Suwei Feng , Dorina Pojani","doi":"10.1016/j.rtbm.2025.101552","DOIUrl":"10.1016/j.rtbm.2025.101552","url":null,"abstract":"","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101552"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736713","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 : 2026-01-01Epub Date: 2025-11-29DOI: 10.1016/j.rtbm.2025.101563
Hongliang Ding , Caiyin Dong , Yang Cao , Tiantian Chen , Hyungchul Chung
High-speed rail (HSR) and low-cost carriers (LCCs) have emerged as increasingly prominent modes of intercity travel, particularly in rapidly urbanizing regions. Understanding the determinants of passengers' mode choices is essential for informing transportation policy, optimizing infrastructure investments, and enhancing the overall travel experience. This study employs a stated preference (SP) survey to investigate these determinants in two distinct urban contexts: Shanghai and Chengdu. A total of 494 valid responses were collected in Shanghai and 524 in Chengdu, capturing data on sociodemographic attributes, attitudinal dispositions, and travel-related characteristics. To analyze this dataset, we integrated machine learning techniques with the SHAP (Shapley Additive Explanations) algorithm, enabling both high predictive accuracy and interpretability. Three models—random forest (RF), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost)—were evaluated, with the RF model demonstrating superior performance. This model was subsequently used to interpret the relative importance of influencing factors. The findings reveal that factors associated with HSR travel, such as service frequency, ticket price, and in-vehicle travel time, play a vital role in passengers' mode choice. Regional contrasts also emerged: passengers in Shanghai exhibited a stronger preference for LCCs, while those in Chengdu were more inclined toward HSR, particularly among price-sensitive travelers. Interestingly, travelers who prioritize safety, comfort, and convenience tended to favor LCCs in both regions, suggesting a shifting perception of LCC quality and reliability. Finally, this study presents targeted recommendations for both government and operators, focusing on enhancing market transparency, maintaining fare stability, adopting region-specific strategies, and improving safety, comfort, and convenience. The findings offer theoretical insights into the mechanisms driving passengers' choices between HSR and LCCs, along with practical implications for policymaking and strategic optimization.
{"title":"Low-cost carriers vs. high-speed rail? Difference in passenger's travel preferences in Shanghai and Chengdu","authors":"Hongliang Ding , Caiyin Dong , Yang Cao , Tiantian Chen , Hyungchul Chung","doi":"10.1016/j.rtbm.2025.101563","DOIUrl":"10.1016/j.rtbm.2025.101563","url":null,"abstract":"<div><div>High-speed rail (HSR) and low-cost carriers (LCCs) have emerged as increasingly prominent modes of intercity travel, particularly in rapidly urbanizing regions. Understanding the determinants of passengers' mode choices is essential for informing transportation policy, optimizing infrastructure investments, and enhancing the overall travel experience. This study employs a stated preference (SP) survey to investigate these determinants in two distinct urban contexts: Shanghai and Chengdu. A total of 494 valid responses were collected in Shanghai and 524 in Chengdu, capturing data on sociodemographic attributes, attitudinal dispositions, and travel-related characteristics. To analyze this dataset, we integrated machine learning techniques with the SHAP (Shapley Additive Explanations) algorithm, enabling both high predictive accuracy and interpretability. Three models—random forest (RF), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost)—were evaluated, with the RF model demonstrating superior performance. This model was subsequently used to interpret the relative importance of influencing factors. The findings reveal that factors associated with HSR travel, such as service frequency, ticket price, and in-vehicle travel time, play a vital role in passengers' mode choice. Regional contrasts also emerged: passengers in Shanghai exhibited a stronger preference for LCCs, while those in Chengdu were more inclined toward HSR, particularly among price-sensitive travelers. Interestingly, travelers who prioritize safety, comfort, and convenience tended to favor LCCs in both regions, suggesting a shifting perception of LCC quality and reliability. Finally, this study presents targeted recommendations for both government and operators, focusing on enhancing market transparency, maintaining fare stability, adopting region-specific strategies, and improving safety, comfort, and convenience. The findings offer theoretical insights into the mechanisms driving passengers' choices between HSR and LCCs, along with practical implications for policymaking and strategic optimization.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101563"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736714","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 : 2026-01-01Epub Date: 2025-11-15DOI: 10.1016/j.rtbm.2025.101556
Sulafa Badi, Salam Khoury, Kholoud Yasin, Khalid Al Marri
Mobility-as-a-Service (MaaS) is a transportation concept that integrates multiple modes of transportation into a single service accessible via a single mobile application platform. MaaS has the potential to provide efficient, affordable, and environmentally friendly transportation options that can help decrease traffic congestion, minimise air pollution, and reduce carbon emissions. This study aims to identify the antecedents influencing MaaS adoption intention by considering a user’s pro-environmental and pro-technology attitudes, mediated by variables proposed by the Unified Theory of Acceptance and Use of Technology. The study utilises a quantitative questionnaire with 744 responses across the United Arab Emirates, which were analysed using descriptive and inferential statistics. Constructs, such as perceived hedonic motivation, social influence, performance expectancy, price value, and effort expectancy, were found to significantly affect users’ behavioural intention to adopt MaaS. The findings also revealed that attitudinal influences operate indirectly through social influence and hedonic motivation, underscoring the mediating role of these constructs in shaping user intention. The factors of social influence and hedonic motivation were found to mediate the relationship between pro-environment attitude, pro-technology attitude, and user intention to adopt MaaS. The extended model incorporating attitudinal constructs explained R2 = 0.57 of the variance in behavioural intention, compared to R2 = 0.54 for the baseline UTAUT2 model. Design and management strategies that directly address these factors can stimulate MaaS adoption.
{"title":"The role of pro-environment and pro-technology attitudes in MaaS adoption in the UAE: An extended UTAUT2 model","authors":"Sulafa Badi, Salam Khoury, Kholoud Yasin, Khalid Al Marri","doi":"10.1016/j.rtbm.2025.101556","DOIUrl":"10.1016/j.rtbm.2025.101556","url":null,"abstract":"<div><div>Mobility-as-a-Service (MaaS) is a transportation concept that integrates multiple modes of transportation into a single service accessible via a single mobile application platform. MaaS has the potential to provide efficient, affordable, and environmentally friendly transportation options that can help decrease traffic congestion, minimise air pollution, and reduce carbon emissions. This study aims to identify the antecedents influencing MaaS adoption intention by considering a user’s pro-environmental and pro-technology attitudes, mediated by variables proposed by the Unified Theory of Acceptance and Use of Technology. The study utilises a quantitative questionnaire with 744 responses across the United Arab Emirates, which were analysed using descriptive and inferential statistics. Constructs, such as perceived hedonic motivation, social influence, performance expectancy, price value, and effort expectancy, were found to significantly affect users’ behavioural intention to adopt MaaS. The findings also revealed that attitudinal influences operate indirectly through social influence and hedonic motivation, underscoring the mediating role of these constructs in shaping user intention. The factors of social influence and hedonic motivation were found to mediate the relationship between pro-environment attitude, pro-technology attitude, and user intention to adopt MaaS. The extended model incorporating attitudinal constructs explained R<sup>2</sup> = 0.57 of the variance in behavioural intention, compared to R<sup>2</sup> = 0.54 for the baseline UTAUT2 model. Design and management strategies that directly address these factors can stimulate MaaS adoption.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101556"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520211","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 : 2026-01-01Epub Date: 2025-10-07DOI: 10.1016/j.rtbm.2025.101522
Yi-Fei Chuang, Chin-Wei Huang, Chia-Hung Hsieh
This research explores the supply and delivery of medical masks in Taiwan during the COVID-19 pandemic in order to develop a practical model for the emergency logistics of epidemic prevention supplies. This model ensures both timeliness and fairness, meaning during the outbreak of the epidemic that all individuals received masks in a timely manner. Data for this study come from semi-structured interviews, supplemented by government publications and news reports. Based on the framework proposed herein, a practical model is developed through content analysis including coding and categorizing. The research results indicate that the key elements of the practical model include a legally-empowered Central Epidemic Command Center, logistical support from the state-owned postal company, sales through dense retail networks, the set-up of a real-name mask system, and multi-stakeholder collaboration across the public and private sectors. This paper offers a detailed account of the emergency supply and distribution processes for medical supplies during the epidemic. The findings give valuable insights for governments and help bridge the gap in the emergency logistics literature.
{"title":"Timeliness and fairness: The practical model of healthcare emergency logistics during the pandemic - A case of Taiwan","authors":"Yi-Fei Chuang, Chin-Wei Huang, Chia-Hung Hsieh","doi":"10.1016/j.rtbm.2025.101522","DOIUrl":"10.1016/j.rtbm.2025.101522","url":null,"abstract":"<div><div>This research explores the supply and delivery of medical masks in Taiwan during the COVID-19 pandemic in order to develop a practical model for the emergency logistics of epidemic prevention supplies. This model ensures both timeliness and fairness, meaning during the outbreak of the epidemic that all individuals received masks in a timely manner. Data for this study come from semi-structured interviews, supplemented by government publications and news reports. Based on the framework proposed herein, a practical model is developed through content analysis including coding and categorizing. The research results indicate that the key elements of the practical model include a legally-empowered Central Epidemic Command Center, logistical support from the state-owned postal company, sales through dense retail networks, the set-up of a real-name mask system, and multi-stakeholder collaboration across the public and private sectors. This paper offers a detailed account of the emergency supply and distribution processes for medical supplies during the epidemic. The findings give valuable insights for governments and help bridge the gap in the emergency logistics literature.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101522"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271313","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 : 2026-01-01Epub Date: 2025-11-03DOI: 10.1016/j.rtbm.2025.101553
Elisabete Arsenio , Joao Tiago Aparicio , Rui Henriques , Gabriel Dias
Green and intelligent freight logistics play a crucial role in driving sustainable development and are increasingly recognised as innovations within Logistics 5.0. This research examines the dynamics of knowledge transfer between academia and industry, focusing on intermodal transport and sustainability. By analyzing academic publications from Scopus and patents from PATENTSCOPE (2014–2024), this research employs advanced methodologies, including transformer-based keyword extraction and multilayer network analysis, to investigate indicators of knowledge transfer. Findings reveal distinct phases of technological innovation, including acceleration driven by AI, IoT, and blockchain technologies, followed by stabilization and consolidation in logistical operations. A patent surge after 2018 highlights industry-led advancements, contrasting with academia's focus on theoretical sustainability frameworks. However, cross-layer analyses highlight the declining industry adoption of academic findings, revealing gaps in the effective transfer of knowledge. The integration of mature innovations into logistical practices reflects the emergence of a consolidation phase. The findings underline the criticality of aligning academic discoveries with industrial applications, fostering mutual collaboration to drive the evolution of green logistics. By uncovering the dynamics underpinning sustainable innovation, the research contributes to the discourse on the twin transition towards greener and more intelligent freight logistics, offering pathways to strengthen academia-industry collaborations.
{"title":"Assessing the co-evolution of intermodal freight transport research and patenting technology trends for advancing green and intelligent logistics","authors":"Elisabete Arsenio , Joao Tiago Aparicio , Rui Henriques , Gabriel Dias","doi":"10.1016/j.rtbm.2025.101553","DOIUrl":"10.1016/j.rtbm.2025.101553","url":null,"abstract":"<div><div>Green and intelligent freight logistics play a crucial role in driving sustainable development and are increasingly recognised as innovations within Logistics 5.0. This research examines the dynamics of knowledge transfer between academia and industry, focusing on intermodal transport and sustainability. By analyzing academic publications from Scopus and patents from PATENTSCOPE (2014–2024), this research employs advanced methodologies, including transformer-based keyword extraction and multilayer network analysis, to investigate indicators of knowledge transfer. Findings reveal distinct phases of technological innovation, including acceleration driven by AI, IoT, and blockchain technologies, followed by stabilization and consolidation in logistical operations. A patent surge after 2018 highlights industry-led advancements, contrasting with academia's focus on theoretical sustainability frameworks. However, cross-layer analyses highlight the declining industry adoption of academic findings, revealing gaps in the effective transfer of knowledge. The integration of mature innovations into logistical practices reflects the emergence of a consolidation phase. The findings underline the criticality of aligning academic discoveries with industrial applications, fostering mutual collaboration to drive the evolution of green logistics. By uncovering the dynamics underpinning sustainable innovation, the research contributes to the discourse on the twin transition towards greener and more intelligent freight logistics, offering pathways to strengthen academia-industry collaborations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101553"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467359","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}
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