Pub Date : 2025-11-02DOI: 10.1080/15568318.2025.2542292
Shivam Sakshi , Sumithra S , Sabari Shankar Ravichandran
India’s electric vehicle (EV) market is growing fast, worth USD 2 billion in 2023 and expected to reach USD 7.09 billion by 2025, with annual sales estimated at 10 million units by 2030. Though the growth indicates a good policy and innovation landscape, the adoption process continues to be troubled by high prices and inadequate charging infrastructure. The Research explores post-adoption consumer behavior within the context of the Indian electric vehicle (EV), examining brand engagement, customer satisfaction, and green self-identity in influencing sustained usage and recommendation. Leveraging applicable behavioral and technology-fit theories, the Research uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine data from a stratified sample of Indian EV users. The findings underscore the significance of psychological motivators and user-technology congruence in maintaining consumer loyalty to green mobility. The Research provides actionable recommendations for marketers, policymakers, and sustainability advocates seeking to drive long-term EV uptake and enable the shift toward environmentally sustainable transport.
{"title":"Driving EV adoption in India: Exploring green self-identity, task-technology fit, and brand engagement","authors":"Shivam Sakshi , Sumithra S , Sabari Shankar Ravichandran","doi":"10.1080/15568318.2025.2542292","DOIUrl":"10.1080/15568318.2025.2542292","url":null,"abstract":"<div><div>India’s electric vehicle (EV) market is growing fast, worth USD 2 billion in 2023 and expected to reach USD 7.09 billion by 2025, with annual sales estimated at 10 million units by 2030. Though the growth indicates a good policy and innovation landscape, the adoption process continues to be troubled by high prices and inadequate charging infrastructure. The Research explores post-adoption consumer behavior within the context of the Indian electric vehicle (EV), examining brand engagement, customer satisfaction, and green self-identity in influencing sustained usage and recommendation. Leveraging applicable behavioral and technology-fit theories, the Research uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine data from a stratified sample of Indian EV users. The findings underscore the significance of psychological motivators and user-technology congruence in maintaining consumer loyalty to green mobility. The Research provides actionable recommendations for marketers, policymakers, and sustainability advocates seeking to drive long-term EV uptake and enable the shift toward environmentally sustainable transport.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 11","pages":"Pages 1058-1071"},"PeriodicalIF":3.9,"publicationDate":"2025-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-11-02DOI: 10.1080/15568318.2025.2538680
Seyfettin Artan , Ugur Korkut Pata , Pınar Hayaloglu , Mehmet Ali Cakir , Mursit Recepoglu , Sumeyra Cay Cakir
The need for transportation is increasing with the effect of globalization in the developing economic system. The transportation sector, which is essential for economic development, may pose some threats to a sustainable environment. Although European countries have achieved various successes in reducing carbon emissions, they are struggling to reduce carbon dioxide (CO2) emissions from transportation. To overcome this difficulty, European countries are using various policy instruments such as environmental taxes. In this context, this study investigated the impact of disaggregated environmental taxes (pollution, energy, and transport), structural change, and institutional quality on transport-related carbon emissions (water, air, and road transport) in 24 European countries over the period 2008–2022. To this end, the study uses the novel half-panel jackknife estimation and the bias-corrected method of moments. The results indicate that there is no long-term relationship between environmental taxes and water transportation-related CO2 emissions. In contrast, structural changes and pollution taxes are effective in reducing road and air transport-related CO2 emissions. These results suggest that European countries should focus on reducing CO2 emissions through effective pollution taxes and encourage carbon taxes instead of energy and transport taxes, thereby supporting the European Green Deal’s goal of becoming the first climate-neutral continent.
{"title":"Revealing the environmental influences of energy, transport, and pollution taxes on different transportation modes","authors":"Seyfettin Artan , Ugur Korkut Pata , Pınar Hayaloglu , Mehmet Ali Cakir , Mursit Recepoglu , Sumeyra Cay Cakir","doi":"10.1080/15568318.2025.2538680","DOIUrl":"10.1080/15568318.2025.2538680","url":null,"abstract":"<div><div>The need for transportation is increasing with the effect of globalization in the developing economic system. The transportation sector, which is essential for economic development, may pose some threats to a sustainable environment. Although European countries have achieved various successes in reducing carbon emissions, they are struggling to reduce carbon dioxide (CO<sub>2</sub>) emissions from transportation. To overcome this difficulty, European countries are using various policy instruments such as environmental taxes. In this context, this study investigated the impact of disaggregated environmental taxes (pollution, energy, and transport), structural change, and institutional quality on transport-related carbon emissions (water, air, and road transport) in 24 European countries over the period 2008–2022. To this end, the study uses the novel half-panel jackknife estimation and the bias-corrected method of moments. The results indicate that there is no long-term relationship between environmental taxes and water transportation-related CO<sub>2</sub> emissions. In contrast, structural changes and pollution taxes are effective in reducing road and air transport-related CO<sub>2</sub> emissions. These results suggest that European countries should focus on reducing CO<sub>2</sub> emissions through effective pollution taxes and encourage carbon taxes instead of energy and transport taxes, thereby supporting the European Green Deal’s goal of becoming the first climate-neutral continent.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 11","pages":"Pages 1005-1013"},"PeriodicalIF":3.9,"publicationDate":"2025-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-11-02DOI: 10.1080/15568318.2025.2533307
Leonard Arning , Heather Kaths
Electric bicycles are transforming the active mobility landscape, potentially increasing active mode uptake and delivering environmental and health benefits. This study examines electric bicycle mode choice and which modes they replace. It employs a trip-level nested logit mode choice model with six alternatives, including conventional and electric bicycles. The model is estimated using 194,524 trips from the “Mobility in Germany” survey, augmented with data on gradient, spatial typology, public transport departures, and bicycle infrastructure coverage. We validate the model to infer generalizability, derive elasticities, and compute substitution rates. Our results reject nesting electric with conventional bicycles, underscoring their distinct characteristics and minimal shared unobserved attributes. The choice to use an electric bicycle is less affected by the availability of bicycle infrastructure and the length of a trip compared to the decision to use a conventional bicycle. In fact, electric bicycles are closer to cars than to conventional bicycles in terms of distance sensitivity. For both types of bicycle, mode choice is strongly and similarly dependent on gradient, with this effect furthermore depending on age. 43.1% of electric bicycle trips and 63.2% of electric bicycle mileage would have been undertaken using a car if no e-bike had been available, highlighting their substantial potential to reduce transport-related CO2 emissions. These findings support the role of e-bikes in advancing sustainable mobility by displacing car trips and broadening access to active transportation.
{"title":"Further, steeper, greener: Implications from an electric bicycle mode choice model","authors":"Leonard Arning , Heather Kaths","doi":"10.1080/15568318.2025.2533307","DOIUrl":"10.1080/15568318.2025.2533307","url":null,"abstract":"<div><div>Electric bicycles are transforming the active mobility landscape, potentially increasing active mode uptake and delivering environmental and health benefits. This study examines electric bicycle mode choice and which modes they replace. It employs a trip-level nested logit mode choice model with six alternatives, including conventional and electric bicycles. The model is estimated using 194,524 trips from the “Mobility in Germany” survey, augmented with data on gradient, spatial typology, public transport departures, and bicycle infrastructure coverage. We validate the model to infer generalizability, derive elasticities, and compute substitution rates. Our results reject nesting electric with conventional bicycles, underscoring their distinct characteristics and minimal shared unobserved attributes. The choice to use an electric bicycle is less affected by the availability of bicycle infrastructure and the length of a trip compared to the decision to use a conventional bicycle. In fact, electric bicycles are closer to cars than to conventional bicycles in terms of distance sensitivity. For both types of bicycle, mode choice is strongly and similarly dependent on gradient, with this effect furthermore depending on age. 43.1% of electric bicycle trips and 63.2% of electric bicycle mileage would have been undertaken using a car if no e-bike had been available, highlighting their substantial potential to reduce transport-related CO<sub>2</sub> emissions. These findings support the role of e-bikes in advancing sustainable mobility by displacing car trips and broadening access to active transportation.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 11","pages":"Pages 979-994"},"PeriodicalIF":3.9,"publicationDate":"2025-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We surveyed 1,936 participants in Bradford, England, to examine patterns of travel modes for commuting, school travel, and general transportation, and how these patterns differ based on attitudes toward air quality. Participants rated air quality, their level of concern, and the importance of improving it. Logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess associations between air quality concerns and transportation mode choices. Our findings revealed a significant reliance on unsustainable travel modes—54% of participants reported exclusively using petrol/diesel/van vehicles for commuting, and 75% for traveling around town. In contrast, 50% of participants used sustainable travel modes (public transit, active transportation, or electric vehicles) for school trips. Active travel was more common among White British participants, while South Asian participants were more likely to rely on unsustainable vehicles. Participants concerned about air quality had significantly lower odds of using petrol/diesel/van vehicles for commuting (OR = 0.72, 95% CI: 0.53–1.01), school trips (OR = 0.75, 95% CI: 0.54–1.01), and traveling around town (OR = 0.70, 95% CI: 0.52–0.94) compared to those unconcerned. Additionally, concerned individuals were more likely to use sustainable transportation, with increased odds of choosing active travel modes for commuting (OR = 1.46, 95% CI: 1.04–2.07) and traveling around town (OR = 1.95, 95% CI: 1.46–2.60). These findings suggest that air quality concerns independently influence travel behavior, encouraging the adoption of sustainable transport options. Future research should explore how changing attitudes shape long-term transportation choices and policy interventions aimed at promoting environmentally friendly mobility.
{"title":"Exploring transportation mode choices and air quality concerns: Insights from a diverse urban sample","authors":"Behnam Tajik , Rosemary McEachan , Amy Hough , Cathy Knamiller , Kirsty Crossley , Rumana Hossain , Kate Pickett , Maria Bryant","doi":"10.1080/15568318.2025.2534160","DOIUrl":"10.1080/15568318.2025.2534160","url":null,"abstract":"<div><div>We surveyed 1,936 participants in Bradford, England, to examine patterns of travel modes for commuting, school travel, and general transportation, and how these patterns differ based on attitudes toward air quality. Participants rated air quality, their level of concern, and the importance of improving it. Logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess associations between air quality concerns and transportation mode choices. Our findings revealed a significant reliance on unsustainable travel modes—54% of participants reported exclusively using petrol/diesel/van vehicles for commuting, and 75% for traveling around town. In contrast, 50% of participants used sustainable travel modes (public transit, active transportation, or electric vehicles) for school trips. Active travel was more common among White British participants, while South Asian participants were more likely to rely on unsustainable vehicles. Participants concerned about air quality had significantly lower odds of using petrol/diesel/van vehicles for commuting (OR = 0.72, 95% CI: 0.53–1.01), school trips (OR = 0.75, 95% CI: 0.54–1.01), and traveling around town (OR = 0.70, 95% CI: 0.52–0.94) compared to those unconcerned. Additionally, concerned individuals were more likely to use sustainable transportation, with increased odds of choosing active travel modes for commuting (OR = 1.46, 95% CI: 1.04–2.07) and traveling around town (OR = 1.95, 95% CI: 1.46–2.60). These findings suggest that air quality concerns independently influence travel behavior, encouraging the adoption of sustainable transport options. Future research should explore how changing attitudes shape long-term transportation choices and policy interventions aimed at promoting environmentally friendly mobility.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 11","pages":"Pages 995-1004"},"PeriodicalIF":3.9,"publicationDate":"2025-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-28DOI: 10.1080/15568318.2025.2581742
Xin Li , Chengen Xie , Meng Li , Xiaoyu Cai , Yun Yuan
The emerging Mobile Charging Vehicle (MCV) is used to deal with the range anxiety and limited coverage of chargers. The existing studies have not explored how MCV impacts the operational efficiency of fixed-route Battery Electric Buses (BEB). To better charge BEBs with both MCVs and immobile charging stations, this study proposes a joint MCV and BEB dispatching optimization model. To solve the proposed model, an adaptive large neighborhood search algorithm is tailored. In numerical case analyses, compared to the charging-at-station strategy, the proposed mobile charging strategy significantly increases the effective operating time of battery electric buses by 19.27%. Sensitivity tests show that the mobile charging is more economical when the charging rate is greater than 160 kW, and the mobile charging can fully replace charging stations when the daily deadheading time is greater than 60 min.
{"title":"Joint optimization of electric bus charging and dispatching plans using mobile charging vehicle","authors":"Xin Li , Chengen Xie , Meng Li , Xiaoyu Cai , Yun Yuan","doi":"10.1080/15568318.2025.2581742","DOIUrl":"10.1080/15568318.2025.2581742","url":null,"abstract":"<div><div>The emerging Mobile Charging Vehicle (MCV) is used to deal with the range anxiety and limited coverage of chargers. The existing studies have not explored how MCV impacts the operational efficiency of fixed-route Battery Electric Buses (BEB). To better charge BEBs with both MCVs and immobile charging stations, this study proposes a joint MCV and BEB dispatching optimization model. To solve the proposed model, an adaptive large neighborhood search algorithm is tailored. In numerical case analyses, compared to the charging-at-station strategy, the proposed mobile charging strategy significantly increases the effective operating time of battery electric buses by 19.27%. Sensitivity tests show that the mobile charging is more economical when the charging rate is greater than 160 kW, and the mobile charging can fully replace charging stations when the daily deadheading time is greater than 60 min.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 63-81"},"PeriodicalIF":3.9,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-17DOI: 10.1080/15568318.2025.2572818
B. S. Manoj , Kapil Kumar Meena , Hiral Panchal , Gajanand Sharma , Arkopal Kishore Goswami
Cycling offers a sustainable solution to urban mobility challenges, particularly in rapidly growing cities like Mumbai, where it remains an underutilized access mode to suburban rail due to infrastructure gaps and safety concerns. This study explores factors affecting suburban rail commuters’ willingness to cycle for first-mile connectivity, using Ordered Logit and Integrated Choice Latent Variable models on survey data collected from 480 commuters across 20 stations along the central line in Mumbai, India. The survey examines socio-economic traits, travel habits, and attitudes toward cycling, with a focus on four infrastructural aspects: dedicated bike lanes, intersection treatments, bike-sharing services, and secure parking, alongside three latent factors—perceived benefits, physical barriers, and safety/security barriers. Findings reveal that only 8% of suburban rail users currently cycle to stations. Younger, lower-income individuals without motorized vehicles show a greater inclination to adopt cycling. However, broader uptake is hindered by safety issues, poor infrastructure, and insufficient secure parking. Health assessments using WHO’s Health Economic Assessment Tool estimate that the best scenario, with 54% of users cycling 4 km daily, could prevent around 5483 premature deaths annually. The study recommends implementing protected bike lanes, improved intersection designs, secure bike parking, and affordable bike-sharing at select stations to promote cycling as a viable access mode. Addressing these infrastructure needs can create a sustainable, health-promoting urban transport system in cities like Mumbai.
{"title":"Modeling bicycle choice behavior and its potential health impact: Case of first/last mile access to suburban rail","authors":"B. S. Manoj , Kapil Kumar Meena , Hiral Panchal , Gajanand Sharma , Arkopal Kishore Goswami","doi":"10.1080/15568318.2025.2572818","DOIUrl":"10.1080/15568318.2025.2572818","url":null,"abstract":"<div><div>Cycling offers a sustainable solution to urban mobility challenges, particularly in rapidly growing cities like Mumbai, where it remains an underutilized access mode to suburban rail due to infrastructure gaps and safety concerns. This study explores factors affecting suburban rail commuters’ willingness to cycle for first-mile connectivity, using Ordered Logit and Integrated Choice Latent Variable models on survey data collected from 480 commuters across 20 stations along the central line in Mumbai, India. The survey examines socio-economic traits, travel habits, and attitudes toward cycling, with a focus on four infrastructural aspects: dedicated bike lanes, intersection treatments, bike-sharing services, and secure parking, alongside three latent factors—perceived benefits, physical barriers, and safety/security barriers. Findings reveal that only 8% of suburban rail users currently cycle to stations. Younger, lower-income individuals without motorized vehicles show a greater inclination to adopt cycling. However, broader uptake is hindered by safety issues, poor infrastructure, and insufficient secure parking. Health assessments using WHO’s Health Economic Assessment Tool estimate that the best scenario, with 54% of users cycling 4 km daily, could prevent around 5483 premature deaths annually. The study recommends implementing protected bike lanes, improved intersection designs, secure bike parking, and affordable bike-sharing at select stations to promote cycling as a viable access mode. Addressing these infrastructure needs can create a sustainable, health-promoting urban transport system in cities like Mumbai.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 108-128"},"PeriodicalIF":3.9,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-10DOI: 10.1080/15568318.2025.2572827
Bruno Cesar Krause Moras , Christina Marie Joslin , Konstantina Gkritza
Used electric vehicles (EVs) are a cheaper option for consumers interested in purchasing EVs, with the secondary market reaching 400,000 units in the United States in 2023. Despite their potential, the literature lacks a deep understanding of preferences for used EVs, attributing this preference solely to financial considerations without detailing it. This paper uses data from a public opinion survey to differentiate the public segments that prefer used EVs and to investigate the factors affecting this choice. The sample consists of 1,181 adult residents of Indiana and is representative in terms of age, gender, and income. A binary logistic regression identified the determinants influencing the participants’ likelihood of purchasing a used EV. The results indicated that sociodemographic, travel behavior, and lack of knowledge about available incentives are significant factors in the preference for a used EV. Latent class analyses were then conducted to classify both groups of participants—those who prefer used EVs and those who prefer new EVs—into classes. Among participants who would purchase a used EV, three classes were defined: budget-constrained participants, those apprehensive about getting used to EVs, and those who believe the cost-benefit of used EVs is better and depreciation is lower. This study confirms that financial considerations are the main reason for preferring used EVs but also reveals that these considerations are not homogeneous among the public segments, suggesting targeted policy implications, such as EV lease programs, for stakeholders interested in fostering the adoption of both used and new EVs.
{"title":"Used or new electric vehicles? Public preferences and market segments","authors":"Bruno Cesar Krause Moras , Christina Marie Joslin , Konstantina Gkritza","doi":"10.1080/15568318.2025.2572827","DOIUrl":"10.1080/15568318.2025.2572827","url":null,"abstract":"<div><div>Used electric vehicles (EVs) are a cheaper option for consumers interested in purchasing EVs, with the secondary market reaching 400,000 units in the United States in 2023. Despite their potential, the literature lacks a deep understanding of preferences for used EVs, attributing this preference solely to financial considerations without detailing it. This paper uses data from a public opinion survey to differentiate the public segments that prefer used EVs and to investigate the factors affecting this choice. The sample consists of 1,181 adult residents of Indiana and is representative in terms of age, gender, and income. A binary logistic regression identified the determinants influencing the participants’ likelihood of purchasing a used EV. The results indicated that sociodemographic, travel behavior, and lack of knowledge about available incentives are significant factors in the preference for a used EV. Latent class analyses were then conducted to classify both groups of participants—those who prefer used EVs and those who prefer new EVs—into classes. Among participants who would purchase a used EV, three classes were defined: budget-constrained participants, those apprehensive about getting used to EVs, and those who believe the cost-benefit of used EVs is better and depreciation is lower. This study confirms that financial considerations are the main reason for preferring used EVs but also reveals that these considerations are not homogeneous among the public segments, suggesting targeted policy implications, such as EV lease programs, for stakeholders interested in fostering the adoption of both used and new EVs.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 129-142"},"PeriodicalIF":3.9,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-07DOI: 10.1080/15568318.2025.2563905
Bianca de Souza Hoffmann , Rodrigo de Alvarenga Rosa , Neyval Costa Reis Junior
Growing concerns about climate change and environmental degradation have led to global efforts to reduce emissions of air pollutants and greenhouse gases (GHGs). In response, the state of Espírito Santo, Brazil, has joined UN programs and developed a decarbonization plan aimed at neutralizing GHG emissions. This plan proposes strategies for reducing emissions from collective public transport. This article evaluates the emissions and impacts on human health and the environment associated with different fuels used in public transport. The fuels analyzed include BS-500, BS-10, electricity, and compressed natural gas (CNG). A method based on well-to-wheel analysis was used to assess emissions of air pollutants (CO, NOₓ, SO2, NMHC, PM), GHGs (CO2, CH4, N2O), and their related impact categories. This method was applied to the public transport system in the Metropolitan Region of Greater Vitória, Brazil, using real fleet operation data from 2022. Six scenarios were evaluated, considering the partial or total replacement of the current fleet. Data on fuel production was obtained from Ecoinvent via OpenLCA, and the impact categories were analyzed using the IMPACT 2002+ method. The results indicate that a complete electrified fleet is the best transition alternative, potentially reducing CO2e emissions by 99.75%. Given the associated costs, partial electrification is a viable alternative, offering substantial reductions in all emissions. However, the use of CNG proved not to be a suitable option for decarbonization, as it sometimes increased emissions of certain pollutants and is a fossil fuel.
{"title":"Evaluating sustainable fuel alternatives for Brazilian public transport: A comprehensive well-to-wheel analysis","authors":"Bianca de Souza Hoffmann , Rodrigo de Alvarenga Rosa , Neyval Costa Reis Junior","doi":"10.1080/15568318.2025.2563905","DOIUrl":"10.1080/15568318.2025.2563905","url":null,"abstract":"<div><div>Growing concerns about climate change and environmental degradation have led to global efforts to reduce emissions of air pollutants and greenhouse gases (GHGs). In response, the state of Espírito Santo, Brazil, has joined UN programs and developed a decarbonization plan aimed at neutralizing GHG emissions. This plan proposes strategies for reducing emissions from collective public transport. This article evaluates the emissions and impacts on human health and the environment associated with different fuels used in public transport. The fuels analyzed include BS-500, BS-10, electricity, and compressed natural gas (CNG). A method based on well-to-wheel analysis was used to assess emissions of air pollutants (CO, NOₓ, SO<sub>2</sub>, NMHC, PM), GHGs (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O), and their related impact categories. This method was applied to the public transport system in the Metropolitan Region of Greater Vitória, Brazil, using real fleet operation data from 2022. Six scenarios were evaluated, considering the partial or total replacement of the current fleet. Data on fuel production was obtained from Ecoinvent <em>via</em> OpenLCA, and the impact categories were analyzed using the IMPACT 2002+ method. The results indicate that a complete electrified fleet is the best transition alternative, potentially reducing CO<sub>2</sub>e emissions by 99.75%. Given the associated costs, partial electrification is a viable alternative, offering substantial reductions in all emissions. However, the use of CNG proved not to be a suitable option for decarbonization, as it sometimes increased emissions of certain pollutants and is a fossil fuel.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 82-107"},"PeriodicalIF":3.9,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-03DOI: 10.1080/15568318.2025.2524475
Iraklis Argyriou
The transition to urban Net-Zero emission bus (ZEB) transportation receives policy attention throughout the world. Most studies in this area address techno-economic aspects, overlooking the role of institutional workings. This offers limited insight into actual transition problem areas and solutions. Informed by expert interviews, this article examines the ways in which two bus institutional environments – deregulation and franchising – shape financial and organizational challenges and opportunities for the ZEB transition in Great Britain (GB). The analysis suggests that it is the larger local authorities and bus operators in deregulated networks that tap into central government funding. Yet, the ad-hoc and competitive nature of these programs restricts longer-term strategic planning, whereas less competent authorities and operators are left behind. In the franchise model (London case), higher contract prices for ZEB tendered routes facilitate investments. However, operators must address the substantial upfront costs of ZEB vehicles and infrastructure. Concurrently, wider conditions including declining bus patronage and high car use in urban areas pose financial risks in both networks. Organizationally, the public oversight of franchised networks drives ZEB adoption, while a culture of collaboration that draws upon distinct stakeholder competences appears central, particularly in deregulated networks. The article highlights the importance of public management of bus networks based on local stakeholders’ transition priorities. It concludes with policy recommendations for accelerating ZEB transitions.
{"title":"Bus regulation and the net-zero transition dynamics in Great Britain","authors":"Iraklis Argyriou","doi":"10.1080/15568318.2025.2524475","DOIUrl":"10.1080/15568318.2025.2524475","url":null,"abstract":"<div><div>The transition to urban Net-Zero emission bus (ZEB) transportation receives policy attention throughout the world. Most studies in this area address techno-economic aspects, overlooking the role of institutional workings. This offers limited insight into actual transition problem areas and solutions. Informed by expert interviews, this article examines the ways in which two bus institutional environments – deregulation and franchising – shape financial and organizational challenges and opportunities for the ZEB transition in Great Britain (GB). The analysis suggests that it is the larger local authorities and bus operators in deregulated networks that tap into central government funding. Yet, the ad-hoc and competitive nature of these programs restricts longer-term strategic planning, whereas less competent authorities and operators are left behind. In the franchise model (London case), higher contract prices for ZEB tendered routes facilitate investments. However, operators must address the substantial upfront costs of ZEB vehicles and infrastructure. Concurrently, wider conditions including declining bus patronage and high car use in urban areas pose financial risks in both networks. Organizationally, the public oversight of franchised networks drives ZEB adoption, while a culture of collaboration that draws upon distinct stakeholder competences appears central, particularly in deregulated networks. The article highlights the importance of public management of bus networks based on local stakeholders’ transition priorities. It concludes with policy recommendations for accelerating ZEB transitions.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 10","pages":"Pages 907-922"},"PeriodicalIF":3.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-03DOI: 10.1080/15568318.2025.2528085
Moses Katontoka , Francesco Orsi , Martha Bakker , Boris Hocks
The increase in electric vehicles (EVs) has boosted scientific investigation about identifying suitable locations for EV charging stations (EVCSs). Yet, different methodologies and criteria often lead to differing conclusions regarding suitable EVCS locations. This raises a critical question for planners and policymakers: In the large body of scientific literature on EVCS placement, what Points of Interest (PoI) and Geographic attributes (GAs) are used to determine suitable sites for EV infrastructure deployment? This article uses a systematic literature review to dive deep into where EVCS should be placed. The review identified a pool of 28 PoIs and 11 GAs used in EVCS allocation to support the planning process. These included various shopping locations such as supermarkets, shopping malls, residential areas, power and transport infrastructure layouts, etc. Additionally, the review suggests PoIs and GAs are affected by geographical scale and context. These identified PoIs and GAs should be used as foundational insights by planners and policymakers when planning to deploy EVCSs, thereby supporting the transition to sustainable mobility.
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