Research in Transportation Business and Management最新文献_第4页

Performance assessment of public transport routes: A framework using revealed data

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-06 DOI: 10.1016/j.rtbm.2024.101283

Rupam Fedujwar, Amit Agarwal

To retain existing passengers and attract new users, a comprehensive evaluation of public transport services becomes an indispensable tool for transport planners and operators. The present study proposes a novel framework for assessing public transport service quality using secondary data sources. In this, a composite index is developed by incorporating key attributes, i.e., service availability, travel time reliability, occupancy, and environmental factors. The proposed framework uses the fuzzy AHP method to assign weights to each attribute; the resulting order of attributes is service availability (0.442), travel time reliability (0.293), occupancy (0.189), and environmental factor (0.075). Further, these weights are used as input for a composite scale developed. The study demonstrates the effectiveness of a composite index for three transit routes in Delhi by revealing various scenarios requiring attention, notably (1) routes with higher occupancy and with a higher variation in occupancy, (2) cases of low occupancy despite high service availability, and (3) situations of high occupancy with poor reliability. The composite scale facilitates data-driven optimization of various resources by quantifying the trade-offs between attributes. It helps determine precise resource allocation - whether deploying additional buses during peak periods, redistributing existing fleets, or reserved lanes. A sensitivity analysis is also performed to understand the interaction of different attributes and their influence on the overall service level. This ensures that any reallocation maintains or improves service quality on both the source and recipient routes by providing specific thresholds for each attribute that maintains the desired Level of Service. This systematic approach allows planners to optimize resources while ensuring service standards are not compromised on the route. With these valuable insights, policymakers can make more informed decisions about resource allocation and service improvements.

{"title":"Performance assessment of public transport routes: A framework using revealed data","authors":"Rupam Fedujwar, Amit Agarwal","doi":"10.1016/j.rtbm.2024.101283","DOIUrl":"10.1016/j.rtbm.2024.101283","url":null,"abstract":"<div><div>To retain existing passengers and attract new users, a comprehensive evaluation of public transport services becomes an indispensable tool for transport planners and operators. The present study proposes a novel framework for assessing public transport service quality using secondary data sources. In this, a composite index is developed by incorporating key attributes, i.e., service availability, travel time reliability, occupancy, and environmental factors. The proposed framework uses the fuzzy AHP method to assign weights to each attribute; the resulting order of attributes is service availability (0.442), travel time reliability (0.293), occupancy (0.189), and environmental factor (0.075). Further, these weights are used as input for a composite scale developed. The study demonstrates the effectiveness of a composite index for three transit routes in Delhi by revealing various scenarios requiring attention, notably (1) routes with higher occupancy and with a higher variation in occupancy, (2) cases of low occupancy despite high service availability, and (3) situations of high occupancy with poor reliability. The composite scale facilitates data-driven optimization of various resources by quantifying the trade-offs between attributes. It helps determine precise resource allocation - whether deploying additional buses during peak periods, redistributing existing fleets, or reserved lanes. A sensitivity analysis is also performed to understand the interaction of different attributes and their influence on the overall service level. This ensures that any reallocation maintains or improves service quality on both the source and recipient routes by providing specific thresholds for each attribute that maintains the desired Level of Service. This systematic approach allows planners to optimize resources while ensuring service standards are not compromised on the route. With these valuable insights, policymakers can make more informed decisions about resource allocation and service improvements.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101283"},"PeriodicalIF":4.1,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140393","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}

引用次数: 0

Estimating the economic impacts of cargo handling equipment electrification: A case study of the San Pedro Bay ports

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-30 DOI: 10.1016/j.rtbm.2024.101281

Dan Wei , Genevieve Giuliano

Large seaport complexes contribute significantly to air toxic and GHG emissions. As human health impacts of air toxics and climate change grow, policy efforts to reduce these emissions are increasing. California, particularly the ports of Los Angeles and Long Beach (POLA/POLB), has taken the lead in air toxic and GHG mitigation policies. The ports aim to achieve zero emissions cargo handling equipment (CHE) by 2030. We use a macro-econometric model, REMI PI+, to analyze the impacts of electrifying CHE at POLA/POLB on the California economy and the transportation sector for 2020–2045. We estimate a net present value loss of about $7.4 billion (2019 dollars) in gross state product (GSP), with potential losses ranging from $5.3 to $10.0 billion GSP depending on assumptions about equipment replacement requirements, electricity price, and capital funding sources.

引用次数: 0

Do I really like to shift to rail? Influence of rail modernisation on passenger preferences

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-29 DOI: 10.1016/j.rtbm.2024.101284

Simona Surmařová , Michaela Neumannová , Vilém Pařil , Martin Vrána , Jakub Chmelík

The emphasis on environmentally friendly solutions is steadily increasing in the transport sector. The topic of this article is a discussion of the long-term European initiative shift to rail. This initiative is confronted with historical facts, using the rail connection between Prague and Pilsen in Czechia. Numerous modernisation activities have been carried out on this line and have led to a qualitative change in transport, albeit on a conventional railway line and not high-speed rail (HSR). The paper evaluates whether a significant rail infrastructure upgrade leads to a change in transport and residential behaviour. The evaluation relies on identifying relevant upgrade projects and assessing the costs of upgrading this conventional railway. According to the results showing a significant increase in ridership, passengers consider changes, frequency, and travel time to be the crucial factors of the fundamental change in service quality caused by the modernisation of the line. These changes are confirmed and emphasised by 29 in-depth interviews with new or more frequent rail passengers using the train connection between Prague and Pilsen, identifying individual preferences and motives for changing travel behaviour. The results show that an upgrade of a conventional rail line (comparable in cost to the construction of HSR in Spain) lead to significant savings in travel time of 17 % and motivated operators to increase frequency by almost 50 %, increasing ridership to more than double. Passengers' interviews revealed more topics, such as services, comfort, and the difficult parking situation in Prague possible determinants for relocation and daily commuting.

{"title":"Do I really like to shift to rail? Influence of rail modernisation on passenger preferences","authors":"Simona Surmařová , Michaela Neumannová , Vilém Pařil , Martin Vrána , Jakub Chmelík","doi":"10.1016/j.rtbm.2024.101284","DOIUrl":"10.1016/j.rtbm.2024.101284","url":null,"abstract":"<div><div>The emphasis on environmentally friendly solutions is steadily increasing in the transport sector. The topic of this article is a discussion of the long-term European initiative shift to rail. This initiative is confronted with historical facts, using the rail connection between Prague and Pilsen in Czechia. Numerous modernisation activities have been carried out on this line and have led to a qualitative change in transport, albeit on a conventional railway line and not high-speed rail (HSR). The paper evaluates whether a significant rail infrastructure upgrade leads to a change in transport and residential behaviour. The evaluation relies on identifying relevant upgrade projects and assessing the costs of upgrading this conventional railway. According to the results showing a significant increase in ridership, passengers consider changes, frequency, and travel time to be the crucial factors of the fundamental change in service quality caused by the modernisation of the line. These changes are confirmed and emphasised by 29 in-depth interviews with new or more frequent rail passengers using the train connection between Prague and Pilsen, identifying individual preferences and motives for changing travel behaviour. The results show that an upgrade of a conventional rail line (comparable in cost to the construction of HSR in Spain) lead to significant savings in travel time of 17 % and motivated operators to increase frequency by almost 50 %, increasing ridership to more than double. Passengers' interviews revealed more topics, such as services, comfort, and the difficult parking situation in Prague possible determinants for relocation and daily commuting.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101284"},"PeriodicalIF":4.1,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140392","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}

引用次数: 0

Exploring Chinese consumers' brand preference and willingness-to-pay for electric vehicles: A discrete choice experiment

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-24 DOI: 10.1016/j.rtbm.2024.101282

Nan Ye, Mengting Zhang, Xueying Huang, Wenbo Li, Lisong Hou

Electric vehicles (EVs) are experiencing significant market growth, with brand preference increasingly influencing consumers' purchasing decisions. This study utilizes a discrete choice experiment to investigate Chinese consumers' behavior in selecting EVs based on brand preference, examining their willingness to pay for various attributes, including brand country of origin, brand novelty, price, usage cost, driving range, charging facilities, and charging time. The findings reveal how these attributes impact consumers' purchase intentions and highlight the heterogeneity of preferences related to brand country of origin and brand novelty. Notably, brand country of origin, charging facilities, and driving range significantly affect consumers' EV choice behavior. Chinese consumers exhibit a stronger intention to purchase domestic EVs and are open to emerging brands; however, their preferences vary widely. Non-EV owners tend to favor Chinese brands, while existing EV owners prefer foreign brands. In addition, consumers with multiple cars lean toward traditional brands, whereas those with higher household incomes and education, as well as current EV owners, show a preference for new force brands. These insights provide valuable guidance for manufacturers and policymakers seeking to develop and expand the EV market in China.

{"title":"Exploring Chinese consumers' brand preference and willingness-to-pay for electric vehicles: A discrete choice experiment","authors":"Nan Ye, Mengting Zhang, Xueying Huang, Wenbo Li, Lisong Hou","doi":"10.1016/j.rtbm.2024.101282","DOIUrl":"10.1016/j.rtbm.2024.101282","url":null,"abstract":"<div><div>Electric vehicles (EVs) are experiencing significant market growth, with brand preference increasingly influencing consumers' purchasing decisions. This study utilizes a discrete choice experiment to investigate Chinese consumers' behavior in selecting EVs based on brand preference, examining their willingness to pay for various attributes, including brand country of origin, brand novelty, price, usage cost, driving range, charging facilities, and charging time. The findings reveal how these attributes impact consumers' purchase intentions and highlight the heterogeneity of preferences related to brand country of origin and brand novelty. Notably, brand country of origin, charging facilities, and driving range significantly affect consumers' EV choice behavior. Chinese consumers exhibit a stronger intention to purchase domestic EVs and are open to emerging brands; however, their preferences vary widely. Non-EV owners tend to favor Chinese brands, while existing EV owners prefer foreign brands. In addition, consumers with multiple cars lean toward traditional brands, whereas those with higher household incomes and education, as well as current EV owners, show a preference for new force brands. These insights provide valuable guidance for manufacturers and policymakers seeking to develop and expand the EV market in China.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101282"},"PeriodicalIF":4.1,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139600","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}

引用次数: 0

Comparison of energy consumption and carbon emissions of high-speed rail with other transportation modes from life cycle perspective: A case of Beijing-Shanghai

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-19 DOI: 10.1016/j.rtbm.2024.101278

Da Liu , Jiaying Wang , Linlin Xu , Haoyan Zhang , Xinxin Tan

High-speed rail (HSR) is considered clean and low carbon footprint because it relies on electricity and its a high carrying capacity, compared with other transportation modes. However, previous studies have not quantified the combined impacts of greener electricity and modal shift on the energy efficiency and emission reduction benefits of HSR. Here, this paper compares the energy consumption and carbon footprint of four transportation modes on the Beijing-Shanghai line in China using life cycle assessment. Firstly, we develop a life-cycle energy consumption and carbon emissions modal for the transportation modes. Second, we assess the energy consumption and carbon footprint of different transportation modes at each stage. Subsequently, we calculate the net carbon emissions of HSR under the modal shift and four greener electricity development policies separately. Finally, we conduct a sensitivity analysis of the main factors. The results indicate that: (1) the shift of the modal from road and air strengthens the emission reduction advantages of HSR. However, the limited carrying capacity of HSR makes it challenging to achieve further carbon reduction through the modal shift; (2) greener electricity can make the most substantial contribution to the future carbon reduction, potentially reducing carbon emissions by 20.93 % to 52.67 % throughout the life-cycle; (3) the 17 % carbon emissions mitigation implied by HSR construction depends heavily on a stable passenger traffic flow.

{"title":"Comparison of energy consumption and carbon emissions of high-speed rail with other transportation modes from life cycle perspective: A case of Beijing-Shanghai","authors":"Da Liu , Jiaying Wang , Linlin Xu , Haoyan Zhang , Xinxin Tan","doi":"10.1016/j.rtbm.2024.101278","DOIUrl":"10.1016/j.rtbm.2024.101278","url":null,"abstract":"<div><div>High-speed rail (HSR) is considered clean and low carbon footprint because it relies on electricity and its a high carrying capacity, compared with other transportation modes. However, previous studies have not quantified the combined impacts of greener electricity and modal shift on the energy efficiency and emission reduction benefits of HSR. Here, this paper compares the energy consumption and carbon footprint of four transportation modes on the Beijing-Shanghai line in China using life cycle assessment. Firstly, we develop a life-cycle energy consumption and carbon emissions modal for the transportation modes. Second, we assess the energy consumption and carbon footprint of different transportation modes at each stage. Subsequently, we calculate the net carbon emissions of HSR under the modal shift and four greener electricity development policies separately. Finally, we conduct a sensitivity analysis of the main factors. The results indicate that: (1) the shift of the modal from road and air strengthens the emission reduction advantages of HSR. However, the limited carrying capacity of HSR makes it challenging to achieve further carbon reduction through the modal shift; (2) greener electricity can make the most substantial contribution to the future carbon reduction, potentially reducing carbon emissions by 20.93 % to 52.67 % throughout the life-cycle; (3) the 17 % carbon emissions mitigation implied by HSR construction depends heavily on a stable passenger traffic flow.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101278"},"PeriodicalIF":4.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140394","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}

引用次数: 0

Women's intention to work in men-dominated professions: The case of motorcycle taxi drivers in Kigali, Rwanda

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-17 DOI: 10.1016/j.rtbm.2024.101266

Marc Hasselwander , Emilie Martin , Liberata Mukamana , Viktoriya Kolarova , Naomi Mwaura , Tim Schwanen

Gender imbalance in the transport sector is a growing concern. Worldwide, women are significantly underrepresented among transport decision-makers, planners, and workers. Gender diversity is notably lacking in popular transport in the global South, where minibuses and two- and three-wheelers are almost exclusively operated by men. Popular transport therefore often fails to reflect and represent the needs of women, and their exclusion from transport professions limits their full participation in social and economic development. Hence, using the case of motorcycle taxi driving in Kigali, Rwanda, this research aims to address the gender gap in popular transport provision. We conducted an online survey targeting the female population of Kigali (N = 306). Guided by the theory of planned behavior and social norm theory, our analysis utilizes structural equation modeling to measure the extent to which women intend to become motorcycle taxi drivers and identify contributing factors. Our results show that 47.7 % of respondents are interested in this profession. This interest is primarily driven by individual factors such as attitudes and perceived behavioral control, rather than external influences and subjective norms. However, structural barriers such as safety and security concerns, domestic and familial responsibilities, and limited access to financial resources persist. It is imperative to reshape narratives and perceptions of popular transport professions within media and policy frameworks, if gender equality and women's participation in this sector are to be enhanced. Additionally, facilitating access for women to driving training programs and vehicle loans can empower them to overcome barriers and facilitate entry and advancement of women in the industry.

{"title":"Women's intention to work in men-dominated professions: The case of motorcycle taxi drivers in Kigali, Rwanda","authors":"Marc Hasselwander , Emilie Martin , Liberata Mukamana , Viktoriya Kolarova , Naomi Mwaura , Tim Schwanen","doi":"10.1016/j.rtbm.2024.101266","DOIUrl":"10.1016/j.rtbm.2024.101266","url":null,"abstract":"<div><div>Gender imbalance in the transport sector is a growing concern. Worldwide, women are significantly underrepresented among transport decision-makers, planners, and workers. Gender diversity is notably lacking in popular transport in the global South, where minibuses and two- and three-wheelers are almost exclusively operated by men. Popular transport therefore often fails to reflect and represent the needs of women, and their exclusion from transport professions limits their full participation in social and economic development. Hence, using the case of motorcycle taxi driving in Kigali, Rwanda, this research aims to address the gender gap in popular transport provision. We conducted an online survey targeting the female population of Kigali (<em>N</em> = 306). Guided by the theory of planned behavior and social norm theory, our analysis utilizes structural equation modeling to measure the extent to which women intend to become motorcycle taxi drivers and identify contributing factors. Our results show that 47.7 % of respondents are interested in this profession. This interest is primarily driven by individual factors such as attitudes and perceived behavioral control, rather than external influences and subjective norms. However, structural barriers such as safety and security concerns, domestic and familial responsibilities, and limited access to financial resources persist. It is imperative to reshape narratives and perceptions of popular transport professions within media and policy frameworks, if gender equality and women's participation in this sector are to be enhanced. Additionally, facilitating access for women to driving training programs and vehicle loans can empower them to overcome barriers and facilitate entry and advancement of women in the industry.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101266"},"PeriodicalIF":4.1,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Will you still drive or are you ready to ride? Exploring readiness to use demand-responsive transport in the City of Vienna

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-17 DOI: 10.1016/j.rtbm.2024.101277

Oleksandr Rossolov , Roxani Gkavra , Yusak O. Susilo

Demand-responsive transport (DRT) is recognized as a potential solution for mitigating car-dependent mobility in areas with underdeveloped public transport systems. However, whether DRT competes with or complements public transport remains unclear. This study investigates these dynamics using the stated preference method and random utility maximization theory, emphasizing the role of long-term mobility patterns, such as years of car driving, alongside specific attributes of DRT and car modes. The research incorporates stated preference (SP) scenarios reflecting diverse travel needs, including urgent versus flexible trips and requirements for transporting luggage, baby stroller, or small bags. Data was collected in Vienna, where DRT services are implemented, comprising 2934 SP choices from 326 respondents. The analysis involved two stages: discrete choice modeling was first used to assess random and systematic effects on decision-making via the Monte Carlo method. The second stage explored substitution effects, willingness-to-pay, and policy implications for DRT deployment. Findings indicate that only 9.35 % of participants perceive years of car driving as positively influencing their readiness to use DRT, while for 90.65 %, more driving experience negatively affects DRT utility. Parking fee increases were found to enhance the likelihood of choosing DRT over public transport or biking. Furthermore, substitution pattern analysis highlights a stronger sensitivity to travel time changes than to travel cost variations in first/last-mile travel contexts. These insights provide valuable guidance for the effective integration of DRT into urban mobility systems.

{"title":"Will you still drive or are you ready to ride? Exploring readiness to use demand-responsive transport in the City of Vienna","authors":"Oleksandr Rossolov , Roxani Gkavra , Yusak O. Susilo","doi":"10.1016/j.rtbm.2024.101277","DOIUrl":"10.1016/j.rtbm.2024.101277","url":null,"abstract":"<div><div>Demand-responsive transport (DRT) is recognized as a potential solution for mitigating car-dependent mobility in areas with underdeveloped public transport systems. However, whether DRT competes with or complements public transport remains unclear. This study investigates these dynamics using the stated preference method and random utility maximization theory, emphasizing the role of long-term mobility patterns, such as years of car driving, alongside specific attributes of DRT and car modes. The research incorporates stated preference (SP) scenarios reflecting diverse travel needs, including urgent versus flexible trips and requirements for transporting luggage, baby stroller, or small bags. Data was collected in Vienna, where DRT services are implemented, comprising 2934 SP choices from 326 respondents. The analysis involved two stages: discrete choice modeling was first used to assess random and systematic effects on decision-making via the Monte Carlo method. The second stage explored substitution effects, willingness-to-pay, and policy implications for DRT deployment. Findings indicate that only 9.35 % of participants perceive years of car driving as positively influencing their readiness to use DRT, while for 90.65 %, more driving experience negatively affects DRT utility. Parking fee increases were found to enhance the likelihood of choosing DRT over public transport or biking. Furthermore, substitution pattern analysis highlights a stronger sensitivity to travel time changes than to travel cost variations in first/last-mile travel contexts. These insights provide valuable guidance for the effective integration of DRT into urban mobility systems.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101277"},"PeriodicalIF":4.1,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Creating an operational evaluation model for catering delivery platforms using an expanded BOCR theory

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-12 DOI: 10.1016/j.rtbm.2024.101267

Pei-Hsuan Tsai, Jia-Wei Tang

A comprehensive understanding of the operational evaluation model for catering delivery service platforms (CDSPs) is essential for generating revenue, gaining competitive advantages, and achieving sustainable development in the transportation industry and management, both during and after the COVID-19 pandemic. This study developed an operational evaluation model for CDSPs by expanding upon the benefits, opportunities, costs, and risks (BOCR) theory to include a governmental perspective. The effectiveness of the model was assessed using multiple-attribute decision-making (MADM) methods. Key factors in the development of the model were identified through a literature review and survey questionnaire, resulting in five evaluation dimensions and 23 criteria. Fifteen industry experts participated in the survey. To validate causal relationships and construct an influential network relations map (INRM) for each criterion, the decision-making trial and evaluation laboratory (DEMATEL) method was utilised for analysis. The deterministic DEMATEL-based analytic network process (DANP) technique was utilised to calculate influential weights. The results from the INRM indicated that the most influential factors for improving CDSPs were risks, government, costs, opportunities, and benefits. Furthermore, the influential weights determined through the DANP analysis identified benefits as the most significant dimension, followed by costs, opportunities, risks, and government. This study contributes theoretically to the existing literature by incorporating the government's perspective into the BOCR framework and utilizing advanced MADM methods for model evaluation. These findings provide valuable insights for decision- makers in CDSPs, emphasising the importance of addressing risks and government-related factors while prioritising benefits to enhance performance and sustainability in the post-pandemic landscape.

{"title":"Creating an operational evaluation model for catering delivery platforms using an expanded BOCR theory","authors":"Pei-Hsuan Tsai, Jia-Wei Tang","doi":"10.1016/j.rtbm.2024.101267","DOIUrl":"10.1016/j.rtbm.2024.101267","url":null,"abstract":"<div><div>A comprehensive understanding of the operational evaluation model for catering delivery service platforms (CDSPs) is essential for generating revenue, gaining competitive advantages, and achieving sustainable development in the transportation industry and management, both during and after the COVID-19 pandemic. This study developed an operational evaluation model for CDSPs by expanding upon the benefits, opportunities, costs, and risks (BOCR) theory to include a governmental perspective. The effectiveness of the model was assessed using multiple-attribute decision-making (MADM) methods. Key factors in the development of the model were identified through a literature review and survey questionnaire, resulting in five evaluation dimensions and 23 criteria. Fifteen industry experts participated in the survey. To validate causal relationships and construct an influential network relations map (INRM) for each criterion, the decision-making trial and evaluation laboratory (DEMATEL) method was utilised for analysis. The deterministic DEMATEL-based analytic network process (DANP) technique was utilised to calculate influential weights. The results from the INRM indicated that the most influential factors for improving CDSPs were risks, government, costs, opportunities, and benefits. Furthermore, the influential weights determined through the DANP analysis identified benefits as the most significant dimension, followed by costs, opportunities, risks, and government. This study contributes theoretically to the existing literature by incorporating the government's perspective into the BOCR framework and utilizing advanced MADM methods for model evaluation. These findings provide valuable insights for decision- makers in CDSPs, emphasising the importance of addressing risks and government-related factors while prioritising benefits to enhance performance and sustainability in the post-pandemic landscape.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101267"},"PeriodicalIF":4.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140401","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}

引用次数: 0

Social cost reduction by optimizing the delivery network and changing the operational strategy: Study on Seoul-city cases

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-12 DOI: 10.1016/j.rtbm.2024.101276

Sung Ho Hur , YoungBeom Kim

With increasing demand for parcel delivery services, social expenses, including the growth of delivery vehicles and distances, have risen accordingly. Securing parcel delivery facilities for services in large cities is particularly challenging because of high land costs and citizens' complaints about facilities. Therefore, logistics sprawl, in which facilities are situated relatively far from the destination, on the outskirts of the city, or in nearby areas, has led to a dramatic increase in social expenses. In this study, we calculated the social cost of parcel delivery based on current cases in Seoul. Our results revealed that with the optimal allocation of demand areas to the facility alone, the social cost decreased by 40 % in these cases, representing a considerable decrease. Moreover, we discovered that by securing alternative facility locations in addition to the original facilities and optimizing them, social costs can further decrease by 53 %. Additionally, considering the predictable increase in environmental costs, securing additional alternatives for facility locations could help mitigate the rising social costs resulting from increased environmental costs. Accordingly, this study proposes policy directions for the government and public authorities to minimize the social costs arising from parcel delivery. Additionally, the findings of this study suggest that the results can be utilized by companies to develop new management strategies, such as joint logistics centers, within the evolving policy environment.

{"title":"Social cost reduction by optimizing the delivery network and changing the operational strategy: Study on Seoul-city cases","authors":"Sung Ho Hur , YoungBeom Kim","doi":"10.1016/j.rtbm.2024.101276","DOIUrl":"10.1016/j.rtbm.2024.101276","url":null,"abstract":"<div><div>With increasing demand for parcel delivery services, social expenses, including the growth of delivery vehicles and distances, have risen accordingly. Securing parcel delivery facilities for services in large cities is particularly challenging because of high land costs and citizens' complaints about facilities. Therefore, logistics sprawl, in which facilities are situated relatively far from the destination, on the outskirts of the city, or in nearby areas, has led to a dramatic increase in social expenses. In this study, we calculated the social cost of parcel delivery based on current cases in Seoul. Our results revealed that with the optimal allocation of demand areas to the facility alone, the social cost decreased by 40 % in these cases, representing a considerable decrease. Moreover, we discovered that by securing alternative facility locations in addition to the original facilities and optimizing them, social costs can further decrease by 53 %. Additionally, considering the predictable increase in environmental costs, securing additional alternatives for facility locations could help mitigate the rising social costs resulting from increased environmental costs. Accordingly, this study proposes policy directions for the government and public authorities to minimize the social costs arising from parcel delivery. Additionally, the findings of this study suggest that the results can be utilized by companies to develop new management strategies, such as joint logistics centers, within the evolving policy environment.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101276"},"PeriodicalIF":4.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140492","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}

引用次数: 0

Optimization of intermodal transportation routes for perishable goods considering customer satisfaction

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2024-12-09 DOI: 10.1016/j.rtbm.2024.101261

Honghan Bei , Miaomiao Yu , Tianren Yang , Roberto Murcio

With the deep integration and innovative development of the Internet and traditional industries, perishable goods such as fresh fruits and vegetables can be sold through more diverse channels to distant regions. The perishable nature of these goods, characterized by short expiration dates and susceptibility to spoilage, presents significant challenges to their transportation. This paper proposed an intermodal transportation route optimization method for perishable goods, considering the use of refrigerated containers and customer satisfaction. The route optimization model minimizes quality loss, transportation costs, and carbon emissions while treating customer satisfaction as a constraint. Using the “Urumqi-Shanghai” intermodal transportation network as an example, the model applies a multi-objective particle swarm optimization algorithm for solution and conducts sensitivity analysis to explore the impact of changes in transportation modes and customer satisfaction constraints on three objectives, ultimately obtaining the optimal transportation route between the origin and destination.

The results show that intermodal transportation of perishable goods generally has cost advantage over single-mode transportation. The constraint on customer satisfaction can eliminate uneconomical routes and provide more options to meet the changing customer demands. An increase in customer satisfaction can also reduce the quality loss of perishable goods during transportation. These improvements confirm the effectiveness of the proposed intermodal transportation route optimization model and the importance of incorporating customer satisfaction into the choice of transportation route for perishable goods. The proposed model is expected to provide valuable insights into model development and its applications for transporting perishable goods.

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