Pub Date : 2026-01-22DOI: 10.1016/j.rtbm.2026.101613
Ayşe Bora , Ekrem Tatoglu , Halit Keskin , Emel Esen
The liberalization of global air transport has encouraged airlines to adopt joint ventures (JVs) as a means of expanding networks, reducing risk, and strengthening competitiveness. While literature provides rich insights into JVs in mature markets, their feasibility in emerging markets remains underexplored. This study addresses this gap by examining the prospects for Saudia, the national carrier of Saudi Arabia, to pursue JVs in support of the country's Vision 2030 strategy. Drawing on transaction cost economics, the resource-based view, and network theory, the study employs a qualitative case design based on elite interviews with senior industry executives, policy advisors, and academic experts. The findings identify both opportunities and constraints, highlighting issues of strategic fit, regulatory reform, operational capacity, partnership design, cultural alignment, risk management, and market readiness. The analysis shows that while JVs could provide Saudia with a viable pathway to accelerate international integration and enhance competitiveness, success will depend on regulatory clarity, organizational modernization, and credibility with global partners. The study advances research on airline alliances in emerging markets and offers practical guidance for managers and policymakers engaged in shaping the future of aviation in Saudi Arabia.
{"title":"Airline joint ventures in emerging markets: The case of Saudia under vision 2030","authors":"Ayşe Bora , Ekrem Tatoglu , Halit Keskin , Emel Esen","doi":"10.1016/j.rtbm.2026.101613","DOIUrl":"10.1016/j.rtbm.2026.101613","url":null,"abstract":"<div><div>The liberalization of global air transport has encouraged airlines to adopt joint ventures (JVs) as a means of expanding networks, reducing risk, and strengthening competitiveness. While literature provides rich insights into JVs in mature markets, their feasibility in emerging markets remains underexplored. This study addresses this gap by examining the prospects for Saudia, the national carrier of Saudi Arabia, to pursue JVs in support of the country's Vision 2030 strategy. Drawing on transaction cost economics, the resource-based view, and network theory, the study employs a qualitative case design based on elite interviews with senior industry executives, policy advisors, and academic experts. The findings identify both opportunities and constraints, highlighting issues of strategic fit, regulatory reform, operational capacity, partnership design, cultural alignment, risk management, and market readiness. The analysis shows that while JVs could provide Saudia with a viable pathway to accelerate international integration and enhance competitiveness, success will depend on regulatory clarity, organizational modernization, and credibility with global partners. The study advances research on airline alliances in emerging markets and offers practical guidance for managers and policymakers engaged in shaping the future of aviation in Saudi Arabia.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101613"},"PeriodicalIF":4.4,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039354","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 : 2026-01-21DOI: 10.1016/j.rtbm.2026.101608
Naveed Farooz Marazi , Prasanta K. Sahu , Bandhan Bandhu Majumdar , Agnivesh Pani
This paper investigates the influence of a hybrid measure (systemic measure with enhanced transit service) on mode choice decisions for the success of congestion pricing (CP). The term hybrid measure is introduced in this research and the effect of this measure has not been given due attention especially in emerging economies. The hybrid measure consists of 1) push measure, i.e., CP; 2) pull measures for public transit, i.e., lesser number of transfers, lower- access, egress and in-vehicle time, reduced transit travel cost, decreased headway; 3) improvements in transit service, i.e., availability of air-conditioning, increased ease of boarding, lesser onboard crowdedness. We conducted a choice experiment considering several CP scenarios and collected 1028 responses with complete information related to commuters' socio-demographics, travel characteristics, etc. Results from multinomial logit modelling analysis indicated that CP coupled with the availability of air conditioning and ease of transit boarding would attract car commuters towards public buses. Seamless and reduced number of transfers to public buses would also play a major role in improving public bus ridership while implementing CP. We found that commuters' WTP is maximum towards the improvement in ease of boarding and reduction in access time attributes. Also, while estimating the modal trade-off among various generated scenarios, we found that public bus has a maximum probability of being preferred (68.5%) for block C second scenario: ease of boarding, availability of air conditioning are maximum, onboard crowdedness, access and egress time are minimum, and congestion charge for car commuters is highest. Thus, it is believed that a hybrid measure may get larger acceptance than a standalone implementation of push/pull/systemic measures to alleviate congestion and decarbonise urban transport network activities.
{"title":"Is hybrid measure an effective instrument for behavioural modal shift decisions to mitigate traffic congestion","authors":"Naveed Farooz Marazi , Prasanta K. Sahu , Bandhan Bandhu Majumdar , Agnivesh Pani","doi":"10.1016/j.rtbm.2026.101608","DOIUrl":"10.1016/j.rtbm.2026.101608","url":null,"abstract":"<div><div>This paper investigates the influence of a hybrid measure (systemic measure with enhanced transit service) on mode choice decisions for the success of congestion pricing (CP). The term hybrid measure is introduced in this research and the effect of this measure has not been given due attention especially in emerging economies. The hybrid measure consists of 1) push measure, i.e., CP; 2) pull measures for public transit, i.e., lesser number of transfers, lower- access, egress and in-vehicle time, reduced transit travel cost, decreased headway; 3) improvements in transit service, i.e., availability of air-conditioning, increased ease of boarding, lesser onboard crowdedness. We conducted a choice experiment considering several CP scenarios and collected 1028 responses with complete information related to commuters' socio-demographics, travel characteristics, etc. Results from multinomial logit modelling analysis indicated that CP coupled with the availability of air conditioning and ease of transit boarding would attract car commuters towards public buses. Seamless and reduced number of transfers to public buses would also play a major role in improving public bus ridership while implementing CP. We found that commuters' WTP is maximum towards the improvement in ease of boarding and reduction in access time attributes. Also, while estimating the modal trade-off among various generated scenarios, we found that public bus has a maximum probability of being preferred (68.5%) for block C second scenario: ease of boarding, availability of air conditioning are maximum, onboard crowdedness, access and egress time are minimum, and congestion charge for car commuters is highest. Thus, it is believed that a hybrid measure may get larger acceptance than a standalone implementation of push/pull/systemic measures to alleviate congestion and decarbonise urban transport network activities.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101608"},"PeriodicalIF":4.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039351","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 : 2026-01-20DOI: 10.1016/j.rtbm.2026.101598
Seda Sucu Sagmanli , Nazam Ali , Nima Dadashzadeh , Djamila Ouelhadj
The concept of Mobility-as-a-Service (MaaS) has gained much popularity in the recent years to overcome issues pertinent to conventional transport systems, specifically in car-dependent societies to shift the travel behaviour towards more sustainable options. Despite numerous MaaS trials and implementations, existing MaaS studies mostly focus on the potential adoption and uptake of MaaS rather than analysing the actual MaaS users and understanding the characteristics of various users and their needs for more inclusive transport planning. Understanding the socio-demographics, travel resources and travel behaviour of MaaS users is important to evaluate the reach of MaaS and create strategies to enhance uptake among less-engaged populations. To address this gap, a revealed preference data of 2,182 respondents was collected through Breeze MaaS app and a cluster analysis approach for MaaS users based on the Gaussian Mixture Modelling (GMM) was proposed. After implementing GMM on the collected data from the Breeze MaaS app users, seven clusters were identified based on the mode share of participants in the Solent area of the UK. Based on the collected data, it was found that most of the MaaS users are young people, living mostly in urban areas and have more sustainable mode selection. Additionally, a Multinomial Logistic Regression (MNL) model was developed to comprehend the factors affecting the selection of different modes for each identified cluster compared to the car dependent users. The identified clusters together with the MNL model provide insights that could help a thorough understanding of actual MaaS users and guide targeted recommendations to increase engagement among current users. The findings could be used to reach a wider audience and increase the uptake of MaaS and sustainable mobility options in car-dependent areas.
{"title":"Clustering Mobility-as-a-Service (MaaS) users through Gaussian Mixture Modelling and identifying factors affecting users' mode choice preferences","authors":"Seda Sucu Sagmanli , Nazam Ali , Nima Dadashzadeh , Djamila Ouelhadj","doi":"10.1016/j.rtbm.2026.101598","DOIUrl":"10.1016/j.rtbm.2026.101598","url":null,"abstract":"<div><div>The concept of Mobility-as-a-Service (MaaS) has gained much popularity in the recent years to overcome issues pertinent to conventional transport systems, specifically in car-dependent societies to shift the travel behaviour towards more sustainable options. Despite numerous MaaS trials and implementations, existing MaaS studies mostly focus on the potential adoption and uptake of MaaS rather than analysing the actual MaaS users and understanding the characteristics of various users and their needs for more inclusive transport planning. Understanding the socio-demographics, travel resources and travel behaviour of MaaS users is important to evaluate the reach of MaaS and create strategies to enhance uptake among less-engaged populations. To address this gap, a revealed preference data of 2,182 respondents was collected through Breeze MaaS app and a cluster analysis approach for MaaS users based on the Gaussian Mixture Modelling (GMM) was proposed. After implementing GMM on the collected data from the Breeze MaaS app users, seven clusters were identified based on the mode share of participants in the Solent area of the UK. Based on the collected data, it was found that most of the MaaS users are young people, living mostly in urban areas and have more sustainable mode selection. Additionally, a Multinomial Logistic Regression (MNL) model was developed to comprehend the factors affecting the selection of different modes for each identified cluster compared to the car dependent users. The identified clusters together with the MNL model provide insights that could help a thorough understanding of actual MaaS users and guide targeted recommendations to increase engagement among current users. The findings could be used to reach a wider audience and increase the uptake of MaaS and sustainable mobility options in car-dependent areas.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101598"},"PeriodicalIF":4.4,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039333","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 : 2026-01-17DOI: 10.1016/j.rtbm.2026.101606
Yijin Song , Haicheng Xu , Yingjie Zheng
As a crucial link connecting production and consumption, the logistics industry is of paramount importance in national economic performance and high-quality development. Against the backdrop of “dual carbon” goals, achieving the synergistic improvement of economic and green benefits in the logistics industry has become an urgent task. This study, based on China's logistics industry panel data from 2013 to 2023, constructs a regional smart logistics (SLs) spatial association network and measures the green total factor productivity (GTFP) of the logistics industry, to systematically examine the interaction mechanisms and influencing relationships between the two. The study finds that China's SLs network is becoming increasingly interconnected, showing obvious “core-periphery” structural characteristics, with core cities playing a significant radiating and driving role in promoting the intelligent transformation of less developed regions. Further empirical analysis indicates that the spatial association network of SLs can significantly promote the improvement of regional logistics GTFP. The mechanism inspection results show that this promotion effect is mainly achieved by enhancing industrial chain resilience, especially the improvement of defensive resilience and recovery resilience is the most significant. Heterogeneity analysis further demonstrates that this green enabling effect is more prominent in the eastern region, regions with lower levels of economic growth, and regions with stricter environmental governance constraints. This not only provides new empirical evidence for the inclusiveness and government governance role in regional digital development, but also provides useful references for other developing countries to improve logistics efficiency and promote green transformation.
{"title":"Smart logistics' spatial association network and green transformation of logistics industry–based on the perspective of industrial chain resilience","authors":"Yijin Song , Haicheng Xu , Yingjie Zheng","doi":"10.1016/j.rtbm.2026.101606","DOIUrl":"10.1016/j.rtbm.2026.101606","url":null,"abstract":"<div><div>As a crucial link connecting production and consumption, the logistics industry is of paramount importance in national economic performance and high-quality development. Against the backdrop of “dual carbon” goals, achieving the synergistic improvement of economic and green benefits in the logistics industry has become an urgent task. This study, based on China's logistics industry panel data from 2013 to 2023, constructs a regional smart logistics (SLs) spatial association network and measures the green total factor productivity (GTFP) of the logistics industry, to systematically examine the interaction mechanisms and influencing relationships between the two. The study finds that China's SLs network is becoming increasingly interconnected, showing obvious “core-periphery” structural characteristics, with core cities playing a significant radiating and driving role in promoting the intelligent transformation of less developed regions. Further empirical analysis indicates that the spatial association network of SLs can significantly promote the improvement of regional logistics GTFP. The mechanism inspection results show that this promotion effect is mainly achieved by enhancing industrial chain resilience, especially the improvement of defensive resilience and recovery resilience is the most significant. Heterogeneity analysis further demonstrates that this green enabling effect is more prominent in the eastern region, regions with lower levels of economic growth, and regions with stricter environmental governance constraints. This not only provides new empirical evidence for the inclusiveness and government governance role in regional digital development, but also provides useful references for other developing countries to improve logistics efficiency and promote green transformation.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101606"},"PeriodicalIF":4.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039350","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}
The paper investigates whether refrigerated diesel light commercial vehicles (D-LCVs) could be substituted by refrigerated electric LCVs (E-LCVs) or hydrogen LCVs (H2-LCVs), considering both their economic and logistics performances. The economic performance is evaluated via the total cost of ownership (TCO) methodology, while the logistics one is estimated via a multi-agent simulation model. If LCVs are operated in urban contexts, we find that both alternative powertrains exhibit operational parity versus D-LCVs, irrespective of the weather conditions. In terms of TCO, however, only E-LCVs are almost competitive with D-LCVs, while H2-LCVs are by far costlier. If LCVs are used to distribute refrigerated goods in regional contexts (with longer travel distances), E-LCVs show lower logistical efficiency than D-LCVs under normal conditions, further exacerbated in extreme weather, although they have better TCO metrics. On the contrary, H2-LCVs achieved similar logistical efficiency than D-LCVs but continue to show very poor economics.
{"title":"Economic and logistical performance of refrigerated electric and hydrogen light commercial vehicles. A total cost of ownership and hybrid simulation perspective","authors":"Romeo Danielis , Arsalan Muhammad Khan Niazi , Mariangela Scorrano , Manuela Masutti","doi":"10.1016/j.rtbm.2026.101595","DOIUrl":"10.1016/j.rtbm.2026.101595","url":null,"abstract":"<div><div>The paper investigates whether refrigerated diesel light commercial vehicles (D-LCVs) could be substituted by refrigerated electric LCVs (E-LCVs) or hydrogen LCVs (H2-LCVs), considering both their economic and logistics performances. The economic performance is evaluated via the total cost of ownership (TCO) methodology, while the logistics one is estimated via a multi-agent simulation model. If LCVs are operated in urban contexts, we find that both alternative powertrains exhibit operational parity versus D-LCVs, irrespective of the weather conditions. In terms of TCO, however, only E-LCVs are almost competitive with D-LCVs, while H2-LCVs are by far costlier. If LCVs are used to distribute refrigerated goods in regional contexts (with longer travel distances), E-LCVs show lower logistical efficiency than D-LCVs under normal conditions, further exacerbated in extreme weather, although they have better TCO metrics. On the contrary, H2-LCVs achieved similar logistical efficiency than D-LCVs but continue to show very poor economics.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101595"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980746","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 : 2026-01-14DOI: 10.1016/j.rtbm.2026.101597
Luyang Zhao , Luman Zhao , Zhe Wang
Developing green passenger transportation is beneficial for reducing air pollution emissions and improving the living environment of residents. However, research that comprehensively considers the two components of intercity travel, intercity transportation and intra-city connecting transportation, remains insufficient. To design an intercity green travel strategy with a continuous green guidance effect, this paper develops a tripartite evolutionary game model, with the government, high-speed rail enterprises, and intra-city public transportation enterprises as the key players. From the perspective of the entire intercity travel process, we analyze the evolutionary stable strategies of game participants and the applicable scopes of these strategies, and discuss the green travel strategies suitable for participants to adopt in different periods through case simulation. The simulation results show that (1) the cost to the government of ignoring passenger transport environmental protection significantly influences its decision-making. (2) Short-term strategy is relatively more advantageous. At this time, the government's subsidy support policy for the green passenger transport enterprises is also more effective. (3) In the long term, the government's choice of strategy will only affect itself. Green passenger transport companies will only implement green travel measures if these measures conform to the laws of the market economy—i.e., if the companies can benefit from them. This article concludes that the green travel subsidy strategy is suitable for the early intervention stage and provide corresponding policy recommendations. The research findings can provide a basis for the government to formulate implementation strategies for passenger transport environmental protection measures.
{"title":"Research on intercity green travel strategy based on tripartite evolutionary game","authors":"Luyang Zhao , Luman Zhao , Zhe Wang","doi":"10.1016/j.rtbm.2026.101597","DOIUrl":"10.1016/j.rtbm.2026.101597","url":null,"abstract":"<div><div>Developing green passenger transportation is beneficial for reducing air pollution emissions and improving the living environment of residents. However, research that comprehensively considers the two components of intercity travel, intercity transportation and intra-city connecting transportation, remains insufficient. To design an intercity green travel strategy with a continuous green guidance effect, this paper develops a tripartite evolutionary game model, with the government, high-speed rail enterprises, and intra-city public transportation enterprises as the key players. From the perspective of the entire intercity travel process, we analyze the evolutionary stable strategies of game participants and the applicable scopes of these strategies, and discuss the green travel strategies suitable for participants to adopt in different periods through case simulation. The simulation results show that (1) the cost to the government of ignoring passenger transport environmental protection significantly influences its decision-making. (2) Short-term strategy is relatively more advantageous. At this time, the government's subsidy support policy for the green passenger transport enterprises is also more effective. (3) In the long term, the government's choice of strategy will only affect itself. Green passenger transport companies will only implement green travel measures if these measures conform to the laws of the market economy—i.e., if the companies can benefit from them. This article concludes that the green travel subsidy strategy is suitable for the early intervention stage and provide corresponding policy recommendations. The research findings can provide a basis for the government to formulate implementation strategies for passenger transport environmental protection measures.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101597"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980704","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}
The maritime transport sector is characterised by unique dynamics, including the ease of crew exchange and the increased use of standardised languages by seafarers. These factors have led to greater multinationalism among ship crews, which presents several managerial, cultural and operational challenges. This study examines the factors, drivers and barriers affecting the integration of professional seafarers into the global maritime labour market under multinational working conditions. The study introduces a ‘harmony’ variable, derived from six attitudinal items, as a proxy for seafarers' adaptability to multinational crew environments.
A mixed-method design was employed, integrating quantitative analyses with qualitative insights to provide a comprehensive understanding of multinational working. A hierarchical cluster analysis was conducted to classify the respondents according to their harmony values. The classification of seafarers according to harmony scores was followed by the analysis of quantitative data from 322 respondents and qualitative data from 125 respondents, respectively. The findings indicate that there were no significant differences in the duration of multi-national working for seafarers at varying levels of harmony. Moreover, an analysis of the factors that contribute to the duration of multinational work revealed that marital status, competence, and raising with maritime culture were significant predictors.
In the context of multinational working, it has been observed that seafarers tend to express concerns regarding their English language proficiency, professionalism, and cultural properties. However, the participants identified several challenges that lie beyond the capabilities of seafarers, including the need for government support, global marketing, and accreditation. These findings underscore the need for policy interventions in maritime education and international cooperation to prepare seafarers for multicultural working environments. Therefore, policymakers should undergo critical reorganizations in maritime education and training to integrate their mariners with the global labour market.
{"title":"Barriers and drivers for penetrating the global maritime labour market: Empirical evidence from merchant seafarers","authors":"Şaban Emre Kartal , Yasin Arslanoğlu , Özkan Uğurlu , Orkun Burak Öztürk","doi":"10.1016/j.rtbm.2026.101599","DOIUrl":"10.1016/j.rtbm.2026.101599","url":null,"abstract":"<div><div>The maritime transport sector is characterised by unique dynamics, including the ease of crew exchange and the increased use of standardised languages by seafarers. These factors have led to greater multinationalism among ship crews, which presents several managerial, cultural and operational challenges. This study examines the factors, drivers and barriers affecting the integration of professional seafarers into the global maritime labour market under multinational working conditions. The study introduces a ‘harmony’ variable, derived from six attitudinal items, as a proxy for seafarers' adaptability to multinational crew environments.</div><div>A mixed-method design was employed, integrating quantitative analyses with qualitative insights to provide a comprehensive understanding of multinational working. A hierarchical cluster analysis was conducted to classify the respondents according to their harmony values. The classification of seafarers according to harmony scores was followed by the analysis of quantitative data from 322 respondents and qualitative data from 125 respondents, respectively. The findings indicate that there were no significant differences in the duration of multi-national working for seafarers at varying levels of harmony. Moreover, an analysis of the factors that contribute to the duration of multinational work revealed that marital status, competence, and raising with maritime culture were significant predictors.</div><div>In the context of multinational working, it has been observed that seafarers tend to express concerns regarding their English language proficiency, professionalism, and cultural properties. However, the participants identified several challenges that lie beyond the capabilities of seafarers, including the need for government support, global marketing, and accreditation. These findings underscore the need for policy interventions in maritime education and international cooperation to prepare seafarers for multicultural working environments. Therefore, policymakers should undergo critical reorganizations in maritime education and training to integrate their mariners with the global labour market.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101599"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980703","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 : 2026-01-09DOI: 10.1016/j.rtbm.2026.101596
Büşra Yılmaz , Murat Oturakçı , Uğur Eliiyi , Deniz Türsel Eliiyi , Esra Ekinci
Dry ports are a strategic necessity in Türkiye's Aegean Region due to increasing demand and limited port capacity. This study suggests an integrated, sustainability-oriented approach that combines Geographic Information Systems (GIS), Multi-Criteria Decision Making (MCDM) methods, and scenario-based mathematical optimization for dry port location in the Aegean Region of Türkiye. First, 17 spatial and non-spatial criteria derived from expert surveys and literature review were weighted by the Best-Worst Method (BWM). The criteria were transformed into suitability maps in a GIS environment. Second, the candidate areas were assessed with a two-objective optimization model under different scenarios subject to certain constraints. Based on the model results used in the study, suitable areas were identified as Aydın-Karpuzlu, İzmir-Tire, and Denizli-Denizler. The analyses conducted within this study are not limited to spatial analysis. This study, which has the potential to guide strategic decision-making processes, can be considered a very powerful practical tool for decision-makers.
{"title":"Dry port site selection in Türkiye: Spatial and optimization-based analysis","authors":"Büşra Yılmaz , Murat Oturakçı , Uğur Eliiyi , Deniz Türsel Eliiyi , Esra Ekinci","doi":"10.1016/j.rtbm.2026.101596","DOIUrl":"10.1016/j.rtbm.2026.101596","url":null,"abstract":"<div><div>Dry ports are a strategic necessity in Türkiye's Aegean Region due to increasing demand and limited port capacity. This study suggests an integrated, sustainability-oriented approach that combines Geographic Information Systems (GIS), Multi-Criteria Decision Making (MCDM) methods, and scenario-based mathematical optimization for dry port location in the Aegean Region of Türkiye. First, 17 spatial and non-spatial criteria derived from expert surveys and literature review were weighted by the Best-Worst Method (BWM). The criteria were transformed into suitability maps in a GIS environment. Second, the candidate areas were assessed with a two-objective optimization model under different scenarios subject to certain constraints. Based on the model results used in the study, suitable areas were identified as Aydın-Karpuzlu, İzmir-Tire, and Denizli-Denizler. The analyses conducted within this study are not limited to spatial analysis. This study, which has the potential to guide strategic decision-making processes, can be considered a very powerful practical tool for decision-makers.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101596"},"PeriodicalIF":4.4,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145941382","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 : 2026-01-07DOI: 10.1016/j.rtbm.2025.101589
Qi Qiu , Ai Chin Thoo , Moniruzzaman Sarker , Zijuan Zhan , Hon Tat Huam
Adopting battery electric vehicles (BEVs) is critical for achieving sustainable transport and reducing carbon emissions, yet obstacles such as range anxiety, limited environmental awareness, and resistance to innovation continue to impede uptake. This study investigates how social influence, environmental concern, face consciousness, range anxiety, and consumer innovativeness shape BEV purchase intentions, with attitude as a mediator and anthropocentric value orientation as a moderator. Partial least squares structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were used to analyse 481 survey responses. Results show that attitude mediates the effects of all antecedents, while high anthropocentric value orientation amplifies its influence on purchase intention. FsQCA identifies multiple causal pathways to high purchase intention, particularly those combining high levels of face consciousness, attitude, and anthropocentric value orientation with low range anxiety. These findings highlight the importance of integrating personal and environmental drivers into transport policies, providing evidence to support strategies that accelerate BEV adoption.
{"title":"More than a green choice: How personal and environmental drivers shape EV intentions through a human-focused lens","authors":"Qi Qiu , Ai Chin Thoo , Moniruzzaman Sarker , Zijuan Zhan , Hon Tat Huam","doi":"10.1016/j.rtbm.2025.101589","DOIUrl":"10.1016/j.rtbm.2025.101589","url":null,"abstract":"<div><div>Adopting battery electric vehicles (BEVs) is critical for achieving sustainable transport and reducing carbon emissions, yet obstacles such as range anxiety, limited environmental awareness, and resistance to innovation continue to impede uptake. This study investigates how social influence, environmental concern, face consciousness, range anxiety, and consumer innovativeness shape BEV purchase intentions, with attitude as a mediator and anthropocentric value orientation as a moderator. Partial least squares structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were used to analyse 481 survey responses. Results show that attitude mediates the effects of all antecedents, while high anthropocentric value orientation amplifies its influence on purchase intention. FsQCA identifies multiple causal pathways to high purchase intention, particularly those combining high levels of face consciousness, attitude, and anthropocentric value orientation with low range anxiety. These findings highlight the importance of integrating personal and environmental drivers into transport policies, providing evidence to support strategies that accelerate BEV adoption.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"65 ","pages":"Article 101589"},"PeriodicalIF":4.4,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927110","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 : 2026-01-05DOI: 10.1016/j.rtbm.2025.101594
Wenbo Li , Fan Zhang , Xiu Cheng , Xiao Zheng , Shanshan Li
Consumer acceptance is crucial for promoting new energy vehicles (NEVs), which are reshaping the traditional automotive brand landscape. This study investigates how consumer perceptions—specifically, perceived fit (brand image and product category fit) and brand trust—affect acceptance of NEV brand extensions across varying extension distances. Analysis of data from 1058 respondents reveals that perceived fit and brand trust significantly drive acceptance, with extension distance moderating these effects: as distance increases, the importance of brand image fit decreases, whereas brand trust becomes significantly stronger. These findings inform strategies for NEV promotion, emphasizing how brands can leverage consumer perceptions and extension theory while managing extension distance.
{"title":"Effects of perceived fit and brand trust on acceptance of new energy vehicles across brand extension distances","authors":"Wenbo Li , Fan Zhang , Xiu Cheng , Xiao Zheng , Shanshan Li","doi":"10.1016/j.rtbm.2025.101594","DOIUrl":"10.1016/j.rtbm.2025.101594","url":null,"abstract":"<div><div>Consumer acceptance is crucial for promoting new energy vehicles (NEVs), which are reshaping the traditional automotive brand landscape. This study investigates how consumer perceptions—specifically, perceived fit (brand image and product category fit) and brand trust—affect acceptance of NEV brand extensions across varying extension distances. Analysis of data from 1058 respondents reveals that perceived fit and brand trust significantly drive acceptance, with extension distance moderating these effects: as distance increases, the importance of brand image fit decreases, whereas brand trust becomes significantly stronger. These findings inform strategies for NEV promotion, emphasizing how brands can leverage consumer perceptions and extension theory while managing extension distance.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"65 ","pages":"Article 101594"},"PeriodicalIF":4.4,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927029","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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