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Transportation Research Part D-transport and Environment最新文献

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Balancing biofuels and electrification: Carbon neutrality pathways of Brazilian light vehicle fleet
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104566
Paulo Sergio Pinheiro Lima , Joaquim Eugênio Abel Seabra , Marcelo Pereira Cunha
This study evaluated pathways for Brazil’s light vehicle fleet to achieve carbon neutrality by 2050, considering local benefits and existing technologies. Four scenarios explore government policies promoting biofuels and/or electrification. Results indicate a 74% increase in emissions under Business as Usual (BAU), requiring vast land for offsetting, versus a 62% reduction with Plug-in Hybrid Electric Vehicle Biofuels. Total Cost of Ownership (TCO) projections diverge by 2030, with higher costs for full electrification by 2050. Abatement costs favor the biofuels approach economically, emphasizing ethanol’s role as a carbon sink. Prioritizing plug-in hybrid vehicles with ethanol could leverage existing infrastructure and reduce battery imports, smoothing the transition to full electrification. The study highlights the economic and environmental trade-offs in Brazil’s journey to carbon neutrality, advocating for a balanced approach integrating biofuels and electrification to maximize benefits and ensure sustainability in the automotive sector.
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引用次数: 0
Four common misconceptions in quantitative studies of the built environment and travel
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2025.104597
Petter Næss
This paper points at four common misconceptions in quantitative studies of the built environment and travel, all of which rooted in a lack of theoretical reflection on the causal mechanisms by which built environment characteristics could plausibly influence travel behavior. Based on a review of 62 published articles over the period 2017–2022, the following misconceptions are discussed: Omission of metropolitan and city-level built environment characteristics; ignoring internal causal relationships between different built environment characteristics; inclusion of control variables that are themselves heavily influenced by built environment characteristics; and misconception of the phenomenon of residential self-selection. The paper ends by pointing at remedies for avoiding these misconceptions.
{"title":"Four common misconceptions in quantitative studies of the built environment and travel","authors":"Petter Næss","doi":"10.1016/j.trd.2025.104597","DOIUrl":"10.1016/j.trd.2025.104597","url":null,"abstract":"<div><div>This paper points at four common misconceptions in quantitative studies of the built environment and travel, all of which rooted in a lack of theoretical reflection on the causal mechanisms by which built environment characteristics could plausibly influence travel behavior. Based on a review of 62 published articles over the period 2017–2022, the following misconceptions are discussed: Omission of metropolitan and city-level built environment characteristics; ignoring internal causal relationships between different built environment characteristics; inclusion of control variables that are themselves heavily influenced by built environment characteristics; and misconception of the phenomenon of residential self-selection. The paper ends by pointing at remedies for avoiding these misconceptions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104597"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Influence of snowfall on the fuel consumption of winter maintenance vehicles
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104543
Dinesh Reddy Challa , Matthew J. Eagon , William F. Northrop
Winter maintenance vehicle fuel consumption increases with snowfall due to changes in road conditions and driving behavior. Quantifying fuel use is important for estimating costs and for understanding the impact of snow-clearing operations on the environment. Calculating fuel economy is challenging in snowplows because recorded onboard diagnostics (OBD) data often do not include mass, which can fluctuate significantly when applying de-icing substances to the road. This paper outlines a novel method to isolate fuel usage associated with snowfall, accounting for gross vehicle weight, using OBD data. For days with snowfall totaling two inches or more, fuel use rose about 16.5% to 22.9% as compared to days without snowfall. Fully loaded trucks were found to use 13.2% to 18.5% more fuel than half-loaded trucks. The results could be used in practice by motivating better fleet management strategies, for example by optimizing de-icing loads, or to model the feasibility of snowplow electrification.
{"title":"Influence of snowfall on the fuel consumption of winter maintenance vehicles","authors":"Dinesh Reddy Challa ,&nbsp;Matthew J. Eagon ,&nbsp;William F. Northrop","doi":"10.1016/j.trd.2024.104543","DOIUrl":"10.1016/j.trd.2024.104543","url":null,"abstract":"<div><div>Winter maintenance vehicle fuel consumption increases with snowfall due to changes in road conditions and driving behavior. Quantifying fuel use is important for estimating costs and for understanding the impact of snow-clearing operations on the environment. Calculating fuel economy is challenging in snowplows because recorded onboard diagnostics (OBD) data often do not include mass, which can fluctuate significantly when applying de-icing substances to the road. This paper outlines a novel method to isolate fuel usage associated with snowfall, accounting for gross vehicle weight, using OBD data. For days with snowfall totaling two inches or more, fuel use rose about 16.5% to 22.9% as compared to days without snowfall. Fully loaded trucks were found to use 13.2% to 18.5% more fuel than half-loaded trucks. The results could be used in practice by motivating better fleet management strategies, for example by optimizing de-icing loads, or to model the feasibility of snowplow electrification.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104543"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cost-benefit analysis of road-underground co-modality strategies for sustainable city logistics
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104585
Qing Liu , Wanjie Hu , Jianjun Dong , Kai Yang , Rui Ren , Zhilong Chen
New-type urbanization necessitates smart, green, and efficient logistics systems to meet growing mobility demand. This paper explores the road-underground co-modality for urban freight transport (RUM4UFT) as a solution to urban traffic challenges, which includes three modal split strategies: mixed-use metro lines, metro freight-passenger integration, and purpose-built underground corridors. A monetized cost-benefit analysis (CBA) model is developed to evaluate the major costs of RUM4UFT and the accompanied benefits in transportation, ecological, and logistics economics from the perspectives of the public sectors and logistics service providers. Taking the Beijing Municipal Administrative Center as a case study, the CBA model demonstrates the advantages of RUM4UFT in promoting social and environmental sustainability, with the purpose-built underground corridor offering the highest long-term investment value. The findings provide valuable insights for advancing city logistics performance through underground transport initiatives.
{"title":"Cost-benefit analysis of road-underground co-modality strategies for sustainable city logistics","authors":"Qing Liu ,&nbsp;Wanjie Hu ,&nbsp;Jianjun Dong ,&nbsp;Kai Yang ,&nbsp;Rui Ren ,&nbsp;Zhilong Chen","doi":"10.1016/j.trd.2024.104585","DOIUrl":"10.1016/j.trd.2024.104585","url":null,"abstract":"<div><div>New-type urbanization necessitates smart, green, and efficient logistics systems to meet growing mobility demand. This paper explores the road-underground co-modality for urban freight transport (RUM4UFT) as a solution to urban traffic challenges, which includes three modal split strategies: mixed-use metro lines, metro freight-passenger integration, and purpose-built underground corridors. A monetized cost-benefit analysis (CBA) model is developed to evaluate the major costs of RUM4UFT and the accompanied benefits in transportation, ecological, and logistics economics from the perspectives of the public sectors and logistics service providers. Taking the Beijing Municipal Administrative Center as a case study, the CBA model demonstrates the advantages of RUM4UFT in promoting social and environmental sustainability, with the purpose-built underground corridor offering the highest long-term investment value. The findings provide valuable insights for advancing city logistics performance through underground transport initiatives.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104585"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal planning and scheduling for fast-charging electric bus system with distributed photovoltaics
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104584
Yiming Zhang , Yi He , Ziqi Song
The global focus on emissions reduction has grown significantly, leading to the emergence of Battery electric buses (BEBs) as a promising eco-friendly alternative to conventional buses. However, the high charging power induced by fast charging can burden the power grid and incur high demand charges. Distributed solar photovoltaics (PV) can play an important role in reducing peak load and charging costs. In this study, we address the problem of optimal planning and charging schedule for an electric bus system using fast-charging technology. We proposed a mathematical model to optimize the BEB charging schedule and PV planning such that the total cost of the system is minimized. A real bus network in Utah was adopted to validate the efficacy of the proposed models. The results demonstrated that integrating an energy storage system (ESS) and distributed PV can significantly reduce costs and increase the proportion of renewable energy used for BEB charging.
{"title":"Optimal planning and scheduling for fast-charging electric bus system with distributed photovoltaics","authors":"Yiming Zhang ,&nbsp;Yi He ,&nbsp;Ziqi Song","doi":"10.1016/j.trd.2024.104584","DOIUrl":"10.1016/j.trd.2024.104584","url":null,"abstract":"<div><div>The global focus on emissions reduction has grown significantly, leading to the emergence of Battery electric buses (BEBs) as a promising eco-friendly alternative to conventional buses. However, the high charging power induced by fast charging can burden the power grid and incur high demand charges. Distributed solar photovoltaics (PV) can play an important role in reducing peak load and charging costs. In this study, we address the problem of optimal planning and charging schedule for an electric bus system using fast-charging technology. We proposed a mathematical model to optimize the BEB charging schedule and PV planning such that the total cost of the system is minimized. A real bus network in Utah was adopted to validate the efficacy of the proposed models. The results demonstrated that integrating an energy storage system (ESS) and distributed PV can significantly reduce costs and increase the proportion of renewable energy used for BEB charging.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104584"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Carsharing usage and station-level factors: A tale of ten Chinese cities
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104586
Jinyan Zu , Zhejing Cao , Xiaohu Zhang
Understanding the factors influencing carsharing usage at the station level is crucial for promoting and managing carsharing services. Previous research primarily focused on single-city studies in western countries, which yielded inconsistent evidence and limited the transferability of findings to diverse urban contexts. This study investigated carsharing usage in ten Chinese cities and examined the relationships between station-level factors and usage using both the Mixed-effects Negative Binomial Model and the Generalized Additive Mixed Model. The results show the residential land use and restaurant POI density are positively associated with carsharing usage. The non-linear effects of the built environment, transportation infrastructure, and station facilities on usage exhibit substantial variations across cities. While the numbers of parking spaces and available vehicles have in general positive influences on usage, non-linear plots reveal diminishing marginal benefits and inverted-U shaped relationships caused by over-supply in certain cities. This study offers insights into carsharing service management and operational strategies.
{"title":"Carsharing usage and station-level factors: A tale of ten Chinese cities","authors":"Jinyan Zu ,&nbsp;Zhejing Cao ,&nbsp;Xiaohu Zhang","doi":"10.1016/j.trd.2024.104586","DOIUrl":"10.1016/j.trd.2024.104586","url":null,"abstract":"<div><div>Understanding the factors influencing carsharing usage at the station level is crucial for promoting and managing carsharing services. Previous research primarily focused on single-city studies in western countries, which yielded inconsistent evidence and limited the transferability of findings to diverse urban contexts. This study investigated carsharing usage in ten Chinese cities and examined the relationships between station-level factors and usage using both the Mixed-effects Negative Binomial Model and the Generalized Additive Mixed Model. The results show the residential land use and restaurant POI density are positively associated with carsharing usage. The non-linear effects of the built environment, transportation infrastructure, and station facilities on usage exhibit substantial variations across cities. While the numbers of parking spaces and available vehicles have in general positive influences on usage, non-linear plots reveal diminishing marginal benefits and inverted-U shaped relationships caused by over-supply in certain cities. This study offers insights into carsharing service management and operational strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104586"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote Sensing-based optimal electric vehicle charging station identification in Kolkata urban agglomeration
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104580
Bijay Halder
People are drawn to electric vehicles (EVs) because they help nations whose economies depend on fossil fuels create more sustainable and liveable metropolitan areas. The number of EVs in the Kolkata Urban Agglomeration (KUA) is rising, there aren’t enough charging stations, and most private vehicles are charged at home. The multi-criteria decision-making (MCDM) methodologies work to determine suitable locations for electric vehicle charging stations (EVCS). Techniques utilized for determining the weights of criteria include the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Analytic Hierarchy Process (AHP), and Fuzzy-AHP (FAHP). The analysis indicates very high 164.42 km2, high 320.79 km2, moderate 568.85 km2, Low 509.92 km2, and Least 201.82 km2 of suitability level. The findings indicate that the suggested method provides a noteworthy way to choose appropriate sites for charging stations. These insights might also help administrators and planners to evaluate strategy and planning effectively.
{"title":"Remote Sensing-based optimal electric vehicle charging station identification in Kolkata urban agglomeration","authors":"Bijay Halder","doi":"10.1016/j.trd.2024.104580","DOIUrl":"10.1016/j.trd.2024.104580","url":null,"abstract":"<div><div>People are drawn to electric vehicles (EVs) because they help nations whose economies depend on fossil fuels create more sustainable and liveable metropolitan areas. The number of EVs in the Kolkata Urban Agglomeration (KUA) is rising, there aren’t enough charging stations, and most private vehicles are charged at home. The multi-criteria decision-making (MCDM) methodologies work to determine suitable locations for electric vehicle charging stations (EVCS). Techniques utilized for determining the weights of criteria include the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Analytic Hierarchy Process (AHP), and Fuzzy-AHP (FAHP). The analysis indicates very high 164.42 km<sup>2</sup>, high 320.79 km<sup>2</sup>, moderate 568.85 km<sup>2</sup>, Low 509.92 km<sup>2</sup>, and Least 201.82 km<sup>2</sup> of suitability level. The findings indicate that the suggested method provides a noteworthy way to choose appropriate sites for charging stations. These insights might also help administrators and planners to evaluate strategy and planning effectively.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104580"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Uncovering factors affecting consumers’ decisions for pre-owned electric vehicles
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104555
Sk. Md. Mashrur , Moataz Mohamed
As the electric vehicle (EV) market rises, the relevance of the used EV market becomes more significant in the context of environmental sustainability and green transportation. Hence, the study conducts data-driven investigations to comprehensively understand users’ preferences for pre-owned EVs. Full-time employed, highly educated, higher-income individuals living in detached homes or townhouses and owning personal parking amenities are more likely to purchase pre-owned EVs. The study used a latent class choice model to analyse the impact of hidden psychological factors and vehicle characteristics on “Experienced EV Drivers” and “New EV Drivers”. The latter class prefers sedans and home charging facilities while opting for pre-owned EVs. However, those concerned about EV charging infrastructure and price and those having a positive attitude toward automated vehicles were reluctant to purchase a pre-owned EV. Overall, the study provides target population-specific actionable policy insights aiming to promote the adoption and sustainable usage of EVs.
{"title":"Uncovering factors affecting consumers’ decisions for pre-owned electric vehicles","authors":"Sk. Md. Mashrur ,&nbsp;Moataz Mohamed","doi":"10.1016/j.trd.2024.104555","DOIUrl":"10.1016/j.trd.2024.104555","url":null,"abstract":"<div><div>As the electric vehicle (EV) market rises, the relevance of the used EV market becomes more significant in the context of environmental sustainability and green transportation. Hence, the study conducts data-driven investigations to comprehensively understand users’ preferences for pre-owned EVs. Full-time employed, highly educated, higher-income individuals living in detached homes or townhouses and owning personal parking amenities are more likely to purchase pre-owned EVs. The study used a latent class choice model to analyse the impact of hidden psychological factors and vehicle characteristics on “Experienced EV Drivers” and “New EV Drivers”. The latter class prefers sedans and home charging facilities while opting for pre-owned EVs. However, those concerned about EV charging infrastructure and price and those having a positive attitude toward automated vehicles were reluctant to purchase a pre-owned EV. Overall, the study provides target population-specific actionable policy insights aiming to promote the adoption and sustainable usage of EVs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104555"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recovery times for highway disruptions due to natural hazard events
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104537
Mujeeb Ur Rahman, Amy M. Kim
We present an empirical study of recovery times from disruptions due to natural hazards and extreme events on the highway system of British Columbia, Canada. Data was obtained from archives of the DriveBC traveller information system. We estimated a proportional hazard model to model recovery rates and ascertain the effects of key factors on recovery rate. The recovery rate for disruptions due to flooding is slowest, avalanche is fastest, and those for wildfires and landslides are similar. Geographic variations were indicated, with longer disruptions observed in more remote regions. Disruptions involving full roadway closure showed longer recovery rates. This study provides empirically-based insights towards improved mitigation of future highway disruptions due to natural hazard events. Given the relatively widespread existence of traveller information systems throughout North America, our analysis approach can be applied to understand transportation system recovery times for, and resilience against, disruptive events of concern in these jurisdictions.
{"title":"Recovery times for highway disruptions due to natural hazard events","authors":"Mujeeb Ur Rahman,&nbsp;Amy M. Kim","doi":"10.1016/j.trd.2024.104537","DOIUrl":"10.1016/j.trd.2024.104537","url":null,"abstract":"<div><div>We present an empirical study of recovery times from disruptions due to natural hazards and extreme events on the highway system of British Columbia, Canada. Data was obtained from archives of the DriveBC traveller information system. We estimated a proportional hazard model to model recovery rates and ascertain the effects of key factors on recovery rate. The recovery rate for disruptions due to flooding is slowest, avalanche is fastest, and those for wildfires and landslides are similar. Geographic variations were indicated, with longer disruptions observed in more remote regions. Disruptions involving full roadway closure showed longer recovery rates. This study provides empirically-based insights towards improved mitigation of future highway disruptions due to natural hazard events. Given the relatively widespread existence of traveller information systems throughout North America, our analysis approach can be applied to understand transportation system recovery times for, and resilience against, disruptive events of concern in these jurisdictions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104537"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cascading failure and recovery propagation of metro-bus double-layer network under time-varying passengers
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104571
Xiqian Guo , Qiang Du , Yi Li , Xiaoyi Zong , Libiao Bai
This study proposes a dynamic model to elucidate the cascading failure and recovery propagation process under increased time-varying passenger flow. Firstly, a metro-bus double-layer network is constructed in which the increment of passenger flow fluctuation in each station is determined by its current connections. Then, we establish the cascading failure and recovery propagation model with two node failure states, failure and recovery propagation mechanism, and repair speed. The model considers the varying load of each node for the evolution process analysis under different load fluctuation. Finally, a real-world case study is conducted to examine the impact of three factors. The simulation results indicate the enhancements of initial load linear coefficient and node capacity lead to longer node repair time but shorter recovery propagation time. Faster repair speed can improve network lowest performance but shows a marginal decreasing trend. The findings have strategic implications for providing stable and efficient transportation services.
{"title":"Cascading failure and recovery propagation of metro-bus double-layer network under time-varying passengers","authors":"Xiqian Guo ,&nbsp;Qiang Du ,&nbsp;Yi Li ,&nbsp;Xiaoyi Zong ,&nbsp;Libiao Bai","doi":"10.1016/j.trd.2024.104571","DOIUrl":"10.1016/j.trd.2024.104571","url":null,"abstract":"<div><div>This study proposes a dynamic model to elucidate the cascading failure and recovery propagation process under increased time-varying passenger flow. Firstly, a metro-bus double-layer network is constructed in which the increment of passenger flow fluctuation in each station is determined by its current connections. Then, we establish the cascading failure and recovery propagation model with two node failure states, failure and recovery propagation mechanism, and repair speed. The model considers the varying load of each node for the evolution process analysis under different load fluctuation. Finally, a real-world case study is conducted to examine the impact of three factors. The simulation results indicate the enhancements of initial load linear coefficient and node capacity lead to longer node repair time but shorter recovery propagation time. Faster repair speed can improve network lowest performance but shows a marginal decreasing trend. The findings have strategic implications for providing stable and efficient transportation services.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104571"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Transportation Research Part D-transport and Environment
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