Research in Transportation Business and Management最新文献

英文中文

Delivering tomorrow today: The role of cutting-edge technologies such as Artificial Intelligence in drones in shaping new business models 今天交付明天：无人机中的人工智能等尖端技术在塑造新商业模式中的作用

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-04-06 DOI: 10.1016/j.rtbm.2025.101365

Sofia Gomes , João M. Lopes , Bruno Barbosa Sousa

Drone delivery services, wich enable faster and more efficient deliveries, reduce costs, minimize environmental impacts and increase satisfaction, have revolutionized global logistics services. Despite these advantages, there are still obstacles to consumers' acceptance of these service, so it is necessary to understand their motivations. This study evaluates how acceptance of the technology influences the perceived usefulness of drone delivery services and the intention to adopt them, considering consumer attitude as a mediating factor. A total of 1108 answers were collected from Portuguese citizens and the Partial Least Square method was applied to a proposed research model. The drone delivery service in Portugal is not yet available in logistics chains. As such, the participants in this study do not yet have an opinion based on experience already carried out. The results indicate that the perceived usefulness of drone delivery services influences consumer attitudes and intention to use them. The technological and task characteristics of drone parcel delivery services positively influence consumers' perceived usefulness of this service. It was also found that consumers are more willing to adopt these services if they are perceived as useful. From the perspective of technology acceptance model (TAM) theory, this study brings empirical insights to extend the literature to drone parcel delivery service technology, and a new model for consumer acceptance of this service is proposed. This study is pioneering in the Portuguese context. Some practical implications are left to help companies and policymakers in faster introducing these services worldwide, namely in Portugal.

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引用次数: 0

Last-mile strategies in e-commerce. Identifying barriers to sustainability from online retailers' perspectives

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-04-04 DOI: 10.1016/j.rtbm.2025.101367

Iria González-Romero , Ángel Ortiz-Bas , J. Carlos Prado-Prado

E-commerce is a rapidly growing, evolving sector. However, it is struggling to tackle its sustainability impact. Previous studies have shown that multiple factors hinder the implementation of sustainable last-mile strategies. However, their identification comes mainly from studies limited to specific technologies and specific pillars of sustainability. In this research, the authors identify and structure the barriers to sustainable last-mile strategies from an online retailer perspective. A qualitative research design underpinned by triangulation is applied to do that. First, the desk research identifies a preliminary list of barriers and insights on how to overcome them. Afterwards, forty semi-structured interviews with twenty e-retailers helped structure, reaffirm, and redefine these barriers and insights. Overall, new and existing knowledge was structured, as twenty barriers were identified. Furthermore, key insights on how to overcome them are presented. These results are critical to defining successful sustainable strategies in last mile in e-commerce.

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引用次数: 0

Suitable placement for on-demand Transport (SPOT): A systematic approach to network integration

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-04-03 DOI: 10.1016/j.rtbm.2025.101364

Chinh Q. Ho , Minh Kieu , Chia-Jung Yeh

This paper presents a bottom-up approach to designing on-demand transport (ODT) systems, emphasising an evidence-based methodology. A critical review of existing ODT systems is conducted, focusing on identifying the most suitable market segments and environments for ODT deployment. This review forms the basis for developing a systematic methodology that integrates known success factors and best practices in the design of new systems in the pursuit of network integration. We demonstrate the scalability and transferability of the developed methodology using two case studies and show how the proposed method can support the selection of optional service areas and assess their impacts on local community. These case studies provide practical insights into the application of the methodology in diverse settings, underscoring its adaptability and effectiveness in different market conditions. The paper addresses equity issues in public transport service provision. It critically examines how existing bus services can be restructured to enhance network efficiency and social equity, particularly in underserved and disadvantaged areas.

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引用次数: 0

Green cooperative transportation solutions in terminal distribution

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-31 DOI: 10.1016/j.rtbm.2025.101332

Jingjing Hu , ZhiHua Hu , Caixia Hao

To promote optimal resource allocation, improve utilization efficiency, and reduce environmental pollution, we propose integrating dispersed transportation resources in the final distribution link of express delivery and implementing green cooperative distribution. The green vehicle routing optimization problem is based on cooperative transportation, which is solved by a multi-chromosome coding genetic algorithm based on priority coding. The results show that the transportation distance and transportation cost are reduced. Vehicle resource utilization has also been improved. Cooperative transportation is not always conducive to green development, which is related to the scale of transportation and vehicle fuel consumption, and we propose comprehensive green solutions to solve this problem, including optimizing vehicle routes, optimizing the allocation of transportation resources, and optimizing the combination of new energy and traditional energy vehicles. The empirical analysis shows that green cooperative distribution can develop a more reasonable vehicle transportation strategy for large distribution centers and effectively save energy and reduce emissions. The utilization rate of vehicle resources is improved, and economic, resource, and environmental benefits are realized. This study will help logistics enterprises to strengthen cooperation, reduce resource waste, and jointly promote the sustainable development of logistics.

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引用次数: 0

Evaluating the carpooling potential among travelers in the suburbs of Islamabad considering carpooling clubs, monetary incentives, and digital apps

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-31 DOI: 10.1016/j.rtbm.2025.101363

Abdus Samad Farooq , Muhammad Ashraf Javid , Muhammad Khizar Hassan , Izza Anwer

Global cities are facing unprecedented traffic congestion challenges that could be solved by travel demand management (TDM) measures. Carpooling is one of these measures to lessen road traffic congestion by reducing the use of single-occupancy vehicles. A questionnaire (n = 150) was conducted in eight suburban towns in Islamabad, Pakistan, to understand commuters' perspectives towards carpooling, considering carpooling clubs, monetary incentives, and digital apps. The analysis shows that 58 % of commuters were interested in carpooling if their clubs can improve their trust in other ride-mates. Also, carpooling clubs can reduce travel costs without delaying travel times and distances. Ordered logistic regression analysis revealed that education level, monthly income, car driving, Facebook and WhatsApp groups, online websites, and club mobility applications are significant predictors of travelers' Carpooling interests when considering dedicated carpooling clubs. Prior knowledge of carpooling, marital status, education level, present travel mode, and carpooling Facebook group variables are significant predictors of carpooling interests with clubs and incentives. Additionally, commuters perceive carpooling club WhatsApp groups as easy and practical to access carpooling; however, mobile applications can better secure their privacy and make ride-matching convenient. Lastly, the relationships between total travel costs and the number of carpooling people were analyzed using the innovative sustainable carpool club model and Hotelling's line. These findings provide insights into the importance of carpooling clubs and digital apps for promoting carpooling as a sustainable and low-budget travel alternative in the community.

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引用次数: 0

Balancing profit and sustainability: Assessing the impact of European Union environmental policies on the automotive sector

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-29 DOI: 10.1016/j.rtbm.2025.101359

Federico Lanzalonga , Silvia Likavec , Paolo Pietro Biancone

The European Union (EU) has drafted policy documents to promote socially responsible practices among companies, emphasizing non-financial disclosure and sustainability reporting. This study compares the reporting practices and profitability of the EU region and the United Kingdom (UK) and investigates the responses of 48 automotive companies from 2019 to 2022. The findings reveal significant differences based on geographic location. UK companies demonstrate a positive correlation between the quality of sustainability reporting and profits, whereas the profits of automotive companies in the EU decrease as sustainability reporting quality improves. This study found that EU policies effectively enhance sustainability practices in the automotive sector by aligning them with the broader concept of corporate social responsibility (CSR), which goes beyond financial performance. Furthermore, it contributes to understanding CSR, emphasizes the need for tailored interventions based on geographical contexts, and highlights the risk of woke-washing strategies to comply with regulations without genuine sustainability efforts. The study also provides implications and recommendations for policymakers.

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引用次数: 0

Developing safety performance functions to inform transport policies on urban two-lane roads

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-20 DOI: 10.1016/j.rtbm.2025.101357

Nicholas Fiorentini, Massimo Losa

Abstract

Road safety is a critical concern in urban areas, where complex networks and high levels of interaction between road users contribute to severe crashes. This study explores how various risk factors influence crash likelihood in urban settings and discusses their implications for transport policies aimed at improving safety and sustainability. We present a Safety Performance Function (SPF) and related Crash Modification Factors (CMFs) tailored for Italian urban two-lane roads, covering 160 km across 10 provinces of the Tuscany Region, Central Italy. By analyzing 2519 Fatal and Injury (FI) crashes from 2008 to 2016, we identify risk factors such as traffic flow, road alignment, cross-section geometry, density of driveways, and density of intersections. Our findings reveal that non-compliance with infrastructure standards, such as too-wide roads, may contribute to higher crash risks. However, even compliance with regulations, such as the presence of frequent driveways or closely spaced urban intersections, could increase crash frequency due to traffic turbulence and heightened conflict points. These results highlight the necessity for evidence-based policies that not only enforce compliance but also reevaluate current standards to address residual risks. Targeted interventions, such as optimizing traffic flow and pedestrian mobility, regulating driveway density, and improving intersection design, can enhance urban road safety while aligning with broader sustainability goals. By addressing these specific risk factors, policymakers can create safer and more sustainable transport systems in urban environments.

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引用次数: 0

Pathways to sustainable transportation in G-20 countries: Unveiling the role of green technology, green energy, green finance and digital economy using panel data and machine learning analyses

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-17 DOI: 10.1016/j.rtbm.2025.101355

Manel Ouni , Sonia Mrad , Rafaa Mraihi

Achieving sustainability has become a global priority, with environmental sustainability gaining significant attention from policymakers due to its critical importance. While numerous studies have empirically examined the relationship between CO2 emissions and green initiatives, they often overlook sectoral differences. Since different sectors contribute unequally to carbon emissions, the environmental effectiveness of green solutions may vary across sectors. This study addresses this research gap by focusing on the transport sector, a major contributor to global CO2 emissions. This study investigates the role of green technology, green energy, green finance, digital economy, economic growth, and urbanization on transport sector CO2 emissions in G-20 economies from 2002 to 2022. Using panel quantile regression, the results reveal that green energy and economic growth reduce transport emissions in lower quantiles; while green energy, green finance, and urbanization enhance environmental quality in upper quantiles. However, green technology is associated with higher transport emissions across all quantiles. Moreover, we employ a simple regression tree model, a machine learning approach, to identify which countries are winners and losers in terms of predicted transport emissions. Our results predict a 13.72 % increase in transport emissions across G-20 nations, with Japan, Australia, Saudi Arabia, the United States, Argentina, Russia, South Africa, South Korea, France, Brazil, India, and Italy among the most affected. These findings recommends shifting to non-motorized vehicles and public transportation systems that enhance transport efficiency and mitigate environmental degradation through green transportation.

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引用次数: 0

Evaluation of the efficiency and returns to scale of Korean logistics companies

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-17 DOI: 10.1016/j.rtbm.2025.101354

Mehdi Shamohammadi , Oh Kyoung Kwon , Sang Yoon Lee

This study investigates the efficiency and returns to scale of Korean logistics firms using stochastic frontier analysis of panel data from 2006 to 2019. Drawing on a firm-level dataset from a substantial number of logistics companies, this study assesses the impact of innovation activities, government certification, and stock market participation on firm-level efficiency. The results indicate an average efficiency score of 0.75, with improvements over time primarily driven by investments in research and development and the attainment of government excellence certifications. The analysis reveals that firms engaging in innovative activities exhibit significantly higher efficiency levels, whereas stock market listings have minimal or negative impacts. Furthermore, most logistics companies operate under increasing returns to scale, suggesting that expansion can enhance efficiency and performance. These findings offer managerial insights for logistics firms by emphasizing the value of innovation, certification, and strategic scaling. The study provides policy recommendations aimed at encouraging innovation and certification initiatives to improve the overall efficiency of the logistics industry.

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引用次数: 0

Interdisciplinary analysis of Robo-taxi adoption: Integrating economic, sociological, and psychological perspectives within an extended UTAUT2 framework

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-03-17 DOI: 10.1016/j.rtbm.2025.101352

Min Zhou , Huan Yi

Robo-taxis are fast becoming the new mobility option for city dwellers. Based on the data of 666 valid questionnaires in China, this study conducted a comprehensive analysis across economics, sociology and psychology by using structural equation model (SEM), and explored the key factors influencing the adoption of Robo-taxi by potential users, with special attention to demographic differences. The results show that performance expectation and hedonic motivation significantly enhance the price value of Robo-taxi and enhance the willingness to use it. However, risk perception obviously inhibits the public's willingness to use. In addition, gender, age and education level have important effects on behavioral intention: men attach more importance to economic values, women attach more importance to social factors; With the increase of age, the willingness to use decreased; Higher education is associated with greater willingness to use. Through interdisciplinary analysis, this study reveals how multiple factors work together to make Robo-taxi adoption decisions, providing strategic guidance for autonomous vehicle manufacturers, taxi service providers, and public transportation strategic planners to accelerate public acceptance and adoption of Robo-taxis.

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