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.
{"title":"Toward sustainable transportation: A systematic review of EV charging station locations","authors":"Moses Katontoka , Francesco Orsi , Martha Bakker , Boris Hocks","doi":"10.1080/15568318.2025.2528085","DOIUrl":"10.1080/15568318.2025.2528085","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 10","pages":"Pages 881-893"},"PeriodicalIF":3.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195974","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: 10.1080/15568318.2025.2521689
Wei Lu , Leiming Hang , Fuzhong Wang
Technology shapes organizations, and road freight privatization is considered an organizational change on a social level induced by platform logistics. Meanwhile, the consumer behavior of individual transporters as adopters of trucks may affect technological innovation, known as market-driven innovation. When road freight privatization and technological progress are incorporated into the STIRPAT model to examine their environmental sustainability implications, panel analysis shows that: (i) Road freight privatization reduced both TCE and CEI, which applies equally to light- and heavy-duty trucks. For medium-duty trucks, road freight privatization reduced CEI but had no significant effect on TCE. (ii) There was an inverted U-shaped relationship between technological progress and TCE/CEI, demonstrating a cyclical impact of technological progress on environmental quality. (iii) While road freight privatization interacted with technological progress to reduce both TCE and CEI, it interacted with transport energy structure to increase both TCE and CEI, suggesting that the vehicle purchase decisions of individual transporters are not biased toward electrification in the road freight sector. These results are inconsistent with the government’s assertion that individual transporters-led privatization undermines economies of scale.
{"title":"Road freight privatization, technological progress, and transportation decarbonization: Perspective of platform logistics","authors":"Wei Lu , Leiming Hang , Fuzhong Wang","doi":"10.1080/15568318.2025.2521689","DOIUrl":"10.1080/15568318.2025.2521689","url":null,"abstract":"<div><div>Technology shapes organizations, and road freight privatization is considered an organizational change on a social level induced by platform logistics. Meanwhile, the consumer behavior of individual transporters as adopters of trucks may affect technological innovation, known as market-driven innovation. When road freight privatization and technological progress are incorporated into the STIRPAT model to examine their environmental sustainability implications, panel analysis shows that: (i) Road freight privatization reduced both TCE and CEI, which applies equally to light- and heavy-duty trucks. For medium-duty trucks, road freight privatization reduced CEI but had no significant effect on TCE. (ii) There was an inverted U-shaped relationship between technological progress and TCE/CEI, demonstrating a cyclical impact of technological progress on environmental quality. (iii) While road freight privatization interacted with technological progress to reduce both TCE and CEI, it interacted with transport energy structure to increase both TCE and CEI, suggesting that the vehicle purchase decisions of individual transporters are not biased toward electrification in the road freight sector. These results are inconsistent with the government’s assertion that individual transporters-led privatization undermines economies of scale.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 10","pages":"Pages 894-906"},"PeriodicalIF":3.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195976","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: 10.1080/15568318.2025.2537667
Wajahat Ali , Mohammad Nabeel , Mohammad Sheihan Javaid , Shakeel Javaid , Naseem Abidi
This article explores the intricate relationship between transportation planning and achieving Sustainable Development Goals (SDGs) through a comprehensive meta-analysis approach. Grounded in Systems Theory (ST), the study conceptualizes transportation planning as a complex system where various components, including infrastructure, policies, and socioeconomic factors, interact dynamically to influence sustainability outcomes. By integrating the Theory of Planned Behavior (TPB), the study examines how stakeholders’ intentions, attitudes, and perceived control over transportation-related decisions impact the effectiveness of planning processes in advancing SDGs. Furthermore, Resilience Theory (RT) is employed to assess the capacity of transportation systems to adapt, recover, and sustain their functions amidst challenges such as climate change, urbanization, and resource constraints. The meta-analysis using the Hunter-Schmidt method synthesizes findings from numerous 31 studies, offering a nuanced understanding of how transportation planning contributes to significant SDGs, including climate action, sustainable cities, and economic growth. The results highlight the pivotal role of proactive planning in fostering resilient and adaptive transportation systems that support long-term sustainability goals. The study provides actionable insights for policymakers, emphasizing the need for an integrated approach that aligns transportation planning with broader sustainability objectives while accounting for behavioral influences and the inherent complexity of transportation systems. These findings contribute to the ongoing discourse on sustainable development, offering a theoretical and empirical foundation for enhancing the role of transportation planning in achieving global sustainability targets.
{"title":"Assessing the role of transportation planning in advancing sustainable development goals: Insights from a meta-analysis","authors":"Wajahat Ali , Mohammad Nabeel , Mohammad Sheihan Javaid , Shakeel Javaid , Naseem Abidi","doi":"10.1080/15568318.2025.2537667","DOIUrl":"10.1080/15568318.2025.2537667","url":null,"abstract":"<div><div>This article explores the intricate relationship between transportation planning and achieving Sustainable Development Goals (SDGs) through a comprehensive meta-analysis approach. Grounded in Systems Theory (ST), the study conceptualizes transportation planning as a complex system where various components, including infrastructure, policies, and socioeconomic factors, interact dynamically to influence sustainability outcomes. By integrating the Theory of Planned Behavior (TPB), the study examines how stakeholders’ intentions, attitudes, and perceived control over transportation-related decisions impact the effectiveness of planning processes in advancing SDGs. Furthermore, Resilience Theory (RT) is employed to assess the capacity of transportation systems to adapt, recover, and sustain their functions amidst challenges such as climate change, urbanization, and resource constraints. The meta-analysis using the Hunter-Schmidt method synthesizes findings from numerous 31 studies, offering a nuanced understanding of how transportation planning contributes to significant SDGs, including climate action, sustainable cities, and economic growth. The results highlight the pivotal role of proactive planning in fostering resilient and adaptive transportation systems that support long-term sustainability goals. The study provides actionable insights for policymakers, emphasizing the need for an integrated approach that aligns transportation planning with broader sustainability objectives while accounting for behavioral influences and the inherent complexity of transportation systems. These findings contribute to the ongoing discourse on sustainable development, offering a theoretical and empirical foundation for enhancing the role of transportation planning in achieving global sustainability targets.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 10","pages":"Pages 944-962"},"PeriodicalIF":3.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195954","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: 10.1080/15568318.2025.2526788
Muzzamil Yaseen Peer , Mohammad Shafi Mir , Bijayananda Mohanty
Road traffic noise (RTN) pollution, recognized by the World Health Organization (WHO) as a significant threat to human health and well-being, necessitates accurate characterization of its spatiotemporal variations in urban environments through robust monitoring networks. This study investigated RTN pollution, its potential health ramifications, and public cognizance in Srinagar, India. Noise measurements were conducted at 43 locations using a calibrated sound level meter (SLM), and Sound-PLAN 8.2 generated contour maps to assess ambient noise exposure. Survey results from 1,253 participants revealed that 67.1% were exposed to noise levels exceeding 55 dB(A). Using Inverse Distance Weighting interpolation and Sound-PLAN simulations, peak noise levels in central urban zones ranged from 67 to 92.3 dB(A), underscoring considerable health risks and the urgent need for targeted mitigation strategies. Predictive modeling demonstrated high accuracy, with hyperparameter-optimized models yielding R2 = 0.89, MAE = 0.63, and MSE = 0.42. Demographic analysis revealed statistically significant differences (p < 0.05) in awareness levels based on gender, education, and occupation. The Average Awareness Index Score (AAIS) for chronic health conditions, diabetes (1.49), heart attack (1.54), stroke (1.41), and hypertension (1.86) indicated limited public cognizance of long-term health risks. Respondents attributed various health issues to residential noise pollution, including headaches (37%), sleep disturbances (24%), annoyance (18%), and stress (15%). The study advocates for the integration of noise mitigation strategies, public health education, and policy-driven interventions aligned with international standards to effectively manage the escalating burden of noise pollution in rapidly urbanizing contexts.
道路交通噪声污染被世界卫生组织（世卫组织）确认为对人类健康和福祉的重大威胁，因此有必要通过强大的监测网络准确表征其在城市环境中的时空变化。本研究调查了印度斯利那加的RTN污染、其潜在的健康影响和公众认知。使用校准的声级计（SLM）在43个地点进行了噪声测量，并使用sound - plan 8.2生成的等高线地图来评估环境噪声暴露。对1253名参与者的调查结果显示，67.1%的人暴露在噪音水平超过55分贝(A)的环境中。利用逆距离加权插值和Sound-PLAN模拟，中心城区的峰值噪声水平在67至92.3 dB(A)之间，强调了相当大的健康风险，迫切需要有针对性的缓解策略。预测模型具有较高的准确性，超参数优化模型的R2 = 0.89, MAE = 0.63, MSE = 0.42。人口统计学分析显示，基于性别、教育程度和职业的认知水平差异有统计学意义（p < 0.05）。慢性健康状况、糖尿病（1.49）、心脏病（1.54）、中风（1.41）和高血压（1.86）的平均意识指数得分（AAIS）表明公众对长期健康风险的认识有限。受访者将各种健康问题归因于住宅噪音污染，包括头痛（37%）、睡眠障碍（24%）、烦恼（18%）和压力（15%）。该研究倡导将噪音缓解战略、公共卫生教育和政策驱动的干预措施与国际标准相结合，以有效管理快速城市化背景下不断升级的噪音污染负担。
{"title":"Evaluation of the spatiotemporal variations of road traffic noise pollution and public cognizance of associated health hazards within urban environments","authors":"Muzzamil Yaseen Peer , Mohammad Shafi Mir , Bijayananda Mohanty","doi":"10.1080/15568318.2025.2526788","DOIUrl":"10.1080/15568318.2025.2526788","url":null,"abstract":"<div><div>Road traffic noise (RTN) pollution, recognized by the World Health Organization (WHO) as a significant threat to human health and well-being, necessitates accurate characterization of its spatiotemporal variations in urban environments through robust monitoring networks. This study investigated RTN pollution, its potential health ramifications, and public cognizance in Srinagar, India. Noise measurements were conducted at 43 locations using a calibrated sound level meter (SLM), and Sound-PLAN 8.2 generated contour maps to assess ambient noise exposure. Survey results from 1,253 participants revealed that 67.1% were exposed to noise levels exceeding 55 dB(A). Using Inverse Distance Weighting interpolation and Sound-PLAN simulations, peak noise levels in central urban zones ranged from 67 to 92.3 dB(A), underscoring considerable health risks and the urgent need for targeted mitigation strategies. Predictive modeling demonstrated high accuracy, with hyperparameter-optimized models yielding <em>R</em><sup>2</sup> = 0.89, MAE = 0.63, and MSE = 0.42. Demographic analysis revealed statistically significant differences (<em>p</em> < 0.05) in awareness levels based on gender, education, and occupation. The Average Awareness Index Score (AAIS) for chronic health conditions, diabetes (1.49), heart attack (1.54), stroke (1.41), and hypertension (1.86) indicated limited public cognizance of long-term health risks. Respondents attributed various health issues to residential noise pollution, including headaches (37%), sleep disturbances (24%), annoyance (18%), and stress (15%). The study advocates for the integration of noise mitigation strategies, public health education, and policy-driven interventions aligned with international standards to effectively manage the escalating burden of noise pollution in rapidly urbanizing contexts.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 10","pages":"Pages 923-943"},"PeriodicalIF":3.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195975","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: 10.1080/15568318.2025.2531075
Zhen Liu , Zhaowen Qiu , Xin Wang
Understanding emission trends and evaluating motor-vehicle emission control strategies (MVECSs) are essential for promoting sustainable transportation. In this study, city-level emission inventories for the Guanzhong urban agglomeration (GUA) were developed using the COPERT model. On this basis, MVECSs were evaluated from two perspectives: emission levels and emission efficiency. Furthermore, the emission reduction potential of motor vehicles across cities in the GUA was quantitatively assessed. The results show that PM2.5, CO2 and NOX emissions from motor vehicles in the GUA showed an increasing trend, while VOC and SO2 emissions decreased. Variations in emission levels were strongly influenced by vehicle types, with heavy-duty trucks (HDTs) identified as the primary contributors to CO2, NOX, PM2.5, and SO2 emissions, while motorcycles (MCs) dominated CO and VOC. Emissions evaluation analysis indicated that PM2.5, CO, NOX, and VOC were similarly responsive to control strategies. Efficiency analysis reveals that the comprehensive environmental efficiency of the GUA was 0.743, highlighting significant potential for emission reductions. In Xi’an, for example, the annual emission reduction potentials for CO2, CO, and NOX are 9.23 Mt, 22.7, and 27.5 kt, respectively. Finally, this study proposes targeted strategies for coordinated emission control and integrated multi-pollutant management.
{"title":"Evaluation of motor-vehicle emission control strategies for urban agglomeration of the Guanzhong region, China","authors":"Zhen Liu , Zhaowen Qiu , Xin Wang","doi":"10.1080/15568318.2025.2531075","DOIUrl":"10.1080/15568318.2025.2531075","url":null,"abstract":"<div><div>Understanding emission trends and evaluating motor-vehicle emission control strategies (MVECSs) are essential for promoting sustainable transportation. In this study, city-level emission inventories for the Guanzhong urban agglomeration (GUA) were developed using the COPERT model. On this basis, MVECSs were evaluated from two perspectives: emission levels and emission efficiency. Furthermore, the emission reduction potential of motor vehicles across cities in the GUA was quantitatively assessed. The results show that PM<sub>2.5</sub>, CO<sub>2</sub> and NO<sub>X</sub> emissions from motor vehicles in the GUA showed an increasing trend, while VOC and SO<sub>2</sub> emissions decreased. Variations in emission levels were strongly influenced by vehicle types, with heavy-duty trucks (HDTs) identified as the primary contributors to CO<sub>2</sub>, NO<sub>X</sub>, PM<sub>2.5</sub>, and SO<sub>2</sub> emissions, while motorcycles (MCs) dominated CO and VOC. Emissions evaluation analysis indicated that PM<sub>2.5</sub>, CO, NO<sub>X</sub>, and VOC were similarly responsive to control strategies. Efficiency analysis reveals that the comprehensive environmental efficiency of the GUA was 0.743, highlighting significant potential for emission reductions. In Xi’an, for example, the annual emission reduction potentials for CO<sub>2</sub>, CO, and NO<sub>X</sub> are 9.23 Mt, 22.7, and 27.5 kt, respectively. Finally, this study proposes targeted strategies for coordinated emission control and integrated multi-pollutant management.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 10","pages":"Pages 963-978"},"PeriodicalIF":3.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195953","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}
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