Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101328
Maria Vittoria Corazza, Silvia D’Eramo
The local press often reports on women’s harassment in transit, which poses a significant problem for the female community at Sapienza University of Rome, particularly during evening commutes. A dedicated night transport service could serve as a solution. However, research questions revolve around service acceptance and affordability among the so-called “Sapienza women” (female students and teaching and administrative staff), along with service profitability for the university acting as an operator. A feasibility study of a gender-dedicated university-to-home paratransit night service called MinervaMove from Sapienza’s main campus for commuting home in the evening is conducted. The service analyzes the Sapienza Women’s stated preferences to assess its acceptance and willingness to pay for it, followed by building operational scenarios accordingly. A detailed cost–benefit analysis, duly described in the paper, stresses the prospective profitability of MinervaMove, with the research goals to showcase an example of a methodology to design a women-reserved night service, replicable in other university campuses, and advance knowledge in the field of gender-driven transportation supply.
{"title":"Designing transportation for women: Night paratransit service for the female community of Sapienza university of Rome","authors":"Maria Vittoria Corazza, Silvia D’Eramo","doi":"10.1016/j.trip.2025.101328","DOIUrl":"10.1016/j.trip.2025.101328","url":null,"abstract":"<div><div>The local press often reports on women’s harassment in transit, which poses a significant problem for the female community at Sapienza University of Rome, particularly during evening commutes. A dedicated night transport service could serve as a solution. However, research questions revolve around service acceptance and affordability among the so-called “Sapienza women” (female students and teaching and administrative staff), along with service profitability for the university acting as an operator. A feasibility study of a gender-dedicated university-to-home paratransit night service called MinervaMove from Sapienza’s main campus for commuting home in the evening is conducted. The service analyzes the Sapienza Women’s stated preferences to assess its acceptance and willingness to pay for it, followed by building operational scenarios accordingly. A detailed cost–benefit analysis, duly described in the paper, stresses the prospective profitability of MinervaMove, with the research goals to showcase an example of a methodology to design a women-reserved night service, replicable in other university campuses, and advance knowledge in the field of gender-driven transportation supply.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101328"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101324
Shane Mathews , Jenny Hou , Tan Yigitcanlar , Fahimeh Golbabaei , Nayomi Kankanamge , Adam Downie , Alexander Paz
This study seeks to understand public opinion related to transport communication and services by delving into citizens’ insights highlighted in online posts. Public perceptions of transport communication and services is fundamental to developing more efficient, inclusive, and user-centered transportation. The objective was to reveal how Queenslanders perceive transportation communication and associated services within the broader digital discourse. It explores the accessibility of current communication platforms and channels employed by the Queensland Department of Transport and Main Roads (Australia), with focus on public perceptions of transportation communication and services. A Netnography approach was used to analyze public comments from social and digital media to decipher prevailing sentiments and topics. Seven key themes in public discussions were identified: energy, disability, government funding, expansion of transport infrastructure, digital technology, health and safety, and quality of service. Among these ‘digital technology’ and ‘quality of service’ are directly related to communication, representing the use of digital tools to provide access to key transport-related information and the level of satisfaction with public transportation services. Despite generally positive attitudes towards transportation in Queensland, the study highlights a significant opportunity to enhance communication strategies and services to improve overall user experience, making transportation systems more user-friendly and accessible. The findings offer a consolidated understanding of the strengths and weaknesses of current transportation services and communication strategies across Queensland from the public’s perspective. Hence, transportation authorities can make informed decisions that reflect community priorities, needs, and desires, leading to improved service provision and develop effective and sustainable transportation solutions.
{"title":"From social media to policy: Public insights on transport communication and services in Queensland","authors":"Shane Mathews , Jenny Hou , Tan Yigitcanlar , Fahimeh Golbabaei , Nayomi Kankanamge , Adam Downie , Alexander Paz","doi":"10.1016/j.trip.2025.101324","DOIUrl":"10.1016/j.trip.2025.101324","url":null,"abstract":"<div><div>This study seeks to understand public opinion related to transport communication and services by delving into citizens’ insights highlighted in online posts. Public perceptions of transport communication and services is fundamental to developing more efficient, inclusive, and user-centered transportation. The objective was to reveal how Queenslanders perceive transportation communication and associated services within the broader digital discourse. It explores the accessibility of current communication platforms and channels employed by the Queensland Department of Transport and Main Roads (Australia), with focus on public perceptions of transportation communication and services. A Netnography approach was used to analyze public comments from social and digital media to decipher prevailing sentiments and topics. Seven key themes in public discussions were identified: energy, disability, government funding, expansion of transport infrastructure, digital technology, health and safety, and quality of service. Among these ‘digital technology’ and ‘quality of service’ are directly related to communication, representing the use of digital tools to provide access to key transport-related information and the level of satisfaction with public transportation services. Despite generally positive attitudes towards transportation in Queensland, the study highlights a significant opportunity to enhance communication strategies and services to improve overall user experience, making transportation systems more user-friendly and accessible. The findings offer a consolidated understanding of the strengths and weaknesses of current transportation services and communication strategies across Queensland from the public’s perspective. Hence, transportation authorities can make informed decisions that reflect community priorities, needs, and desires, leading to improved service provision and develop effective and sustainable transportation solutions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101324"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101301
Jiali Zhou , Haris N. Koutsopoulos
Airborne diseases raise the question of transmission risk in public transportation systems. However, quantitative analysis of the effectiveness of transmission risk mitigation methods in public transportation is lacking. The paper develops an airborne transmission risk modeling framework based on the Wells-Riley model using as inputs transit operating characteristics, schedule, Origin-Destination (OD) demand, and virus characteristics. The model is sensitive to various factors that operators can control, and external factors that may be subject of broader policy decisions. The model is utilized to assess transmission risk as a function of OD flows, planned operations, and factors such as mask-wearing, ventilation, and infection rates. Using actual OD and AVL data from the Massachusetts Bay Transportation Authority (MBTA) Red Line, the paper explores the airborne transmission risk under different infection rate scenarios. The paper assesses the combined impact from viral load related factors and passenger load factors. Increasing frequency can mitigate risk, but cannot fully compensate for increases in infection rates. Imbalanced passenger distribution on different cars of a train increases the overall system-wide infection probability. Spatial infection rate patterns should also be considered during policymaking. For lines with branches, demand distribution among the branches is important and headway allocation adjustment can reduce risk.
{"title":"Schedule-based analysis of airborne transmission risk in public transportation systems","authors":"Jiali Zhou , Haris N. Koutsopoulos","doi":"10.1016/j.trip.2024.101301","DOIUrl":"10.1016/j.trip.2024.101301","url":null,"abstract":"<div><div>Airborne diseases raise the question of transmission risk in public transportation systems. However, quantitative analysis of the effectiveness of transmission risk mitigation methods in public transportation is lacking. The paper develops an airborne transmission risk modeling framework based on the Wells-Riley model using as inputs transit operating characteristics, schedule, Origin-Destination (OD) demand, and virus characteristics. The model is sensitive to various factors that operators can control, and external factors that may be subject of broader policy decisions. The model is utilized to assess transmission risk as a function of OD flows, planned operations, and factors such as mask-wearing, ventilation, and infection rates. Using actual OD and AVL data from the Massachusetts Bay Transportation Authority (MBTA) Red Line, the paper explores the airborne transmission risk under different infection rate scenarios. The paper assesses the combined impact from viral load related factors and passenger load factors. Increasing frequency can mitigate risk, but cannot fully compensate for increases in infection rates. Imbalanced passenger distribution on different cars of a train increases the overall system-wide infection probability. Spatial infection rate patterns should also be considered during policymaking. For lines with branches, demand distribution among the branches is important and headway allocation adjustment can reduce risk.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101301"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101313
Pakapon Ueasatchamongkhon, Somsiri Siewwuttanagul
This study investigates the impact of spatial-based accessibility on the SRT Red Line, Don Mueang Station, a railway station that frequently poses challenges for wheelchair users and has recently been developed under the megaproject “The High-Speed Railway Connecting Three Airports Project”. Through comprehensive approaches, including the Graph Theory (Betweenness) in Urban Network Analysis (UNA) and path reservation based on principles of station accessibility, this study explores the relationship between congestion probability (Betweenness) in detailed origins and destinations, as well as kinematics for wheelchair users. The findings analyse the implication and effectiveness of inclusively reserved route design to facilitate movement and provide more efficient mobility for the target study group with safety. By examining the passenger volume of the station during the peak hour, this study provides valuable insights into the understanding and analysis of congestion possibility’s impact on the kinematics for wheelchair users. The results contribute to the existing knowledge by giving an in-depth comprehension of the role of path reservation based on spatial-based accessibility and legal standards and regulations in improving circulation within the station. This study enhances the understanding of the effects of spatial-based accessibility on the inclusive path reservation design and provides implications for future application and research in the field of station accessibility.
{"title":"Development of path reservation for wheelchair users within a High-Activity train Station: A case study of SRT Red Line, Don Mueang Station, Bangkok, Thailand","authors":"Pakapon Ueasatchamongkhon, Somsiri Siewwuttanagul","doi":"10.1016/j.trip.2024.101313","DOIUrl":"10.1016/j.trip.2024.101313","url":null,"abstract":"<div><div>This study investigates the impact of spatial-based accessibility on the SRT Red Line, Don Mueang Station, a railway station that frequently poses challenges for wheelchair users and has recently been developed under the megaproject “The High-Speed Railway Connecting Three Airports Project”. Through comprehensive approaches, including the Graph Theory (Betweenness) in Urban Network Analysis (UNA) and path reservation based on principles of station accessibility, this study explores the relationship between congestion probability (Betweenness) in detailed origins and destinations, as well as kinematics for wheelchair users. The findings analyse the implication and effectiveness of inclusively reserved route design to facilitate movement and provide more efficient mobility for the target study group with safety. By examining the passenger volume of the station during the peak hour, this study provides valuable insights into the understanding and analysis of congestion possibility’s impact on the kinematics for wheelchair users. The results contribute to the existing knowledge by giving an in-depth comprehension of the role of path reservation based on spatial-based accessibility and legal standards and regulations in improving circulation within the station. This study enhances the understanding of the effects of spatial-based accessibility on the inclusive path reservation design and provides implications for future application and research in the field of station accessibility.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101313"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Red-light running (RLR) by motorcycle riders is a prevalent traffic violation in developing Asian countries, posing significant safety risks. While automated RLR control has proven effective in reducing violations among drivers, its long-term impact on motorcycle riders remains underexplored. This study evaluates the effects of automated RLR control on motorcycle riders over a 1-year and 5-year period following implementation. The study, conducted at three intersections in Khon Kaen City, Thailand, examined the red-light-running (RLR) behavior of 13,997 motorcycle riders using logit models. These models examined the relationship between RLR occurrences—categorized by crossing behavior and temporal distribution during red times—and influencing factors, including RLR control periods. The results revealed that automated RLR control significantly reduced RLR violations among motorcycle riders. RLR behaviors decreased by 6.26% within one year and 2.09% after five years of control. In particular, opportunistic RLR behavior during the last five seconds of red lights decreased by 5.29% and 6.20% at the 1-year and 5-year marks, respectively. These findings highlight the effectiveness of automated RLR enforcement in influencing behavioral changes and provide valuable guidance for implementing similar measures in mixed-traffic environments in developing countries.
{"title":"Effects of automated red-light running control on motorcycle riders in Thailand","authors":"Thaned Satiennam , Piyanat Jantosut , Phongphan Tankasem , Rattanaporn Kaewkluengklom , Wichuda Satiennam","doi":"10.1016/j.trip.2025.101329","DOIUrl":"10.1016/j.trip.2025.101329","url":null,"abstract":"<div><div>Red-light running (RLR) by motorcycle riders is a prevalent traffic violation in developing Asian countries, posing significant safety risks. While automated RLR control has proven effective in reducing violations among drivers, its long-term impact on motorcycle riders remains underexplored. This study evaluates the effects of automated RLR control on motorcycle riders over a 1-year and 5-year period following implementation. The study, conducted at three intersections in Khon Kaen City, Thailand, examined the red-light-running (RLR) behavior of 13,997 motorcycle riders using logit models. These models examined the relationship between RLR occurrences—categorized by crossing behavior and temporal distribution during red times—and influencing factors, including RLR control periods. The results revealed that automated RLR control significantly reduced RLR violations among motorcycle riders. RLR behaviors decreased by 6.26% within one year and 2.09% after five years of control. In particular, opportunistic RLR behavior during the last five seconds of red lights decreased by 5.29% and 6.20% at the 1-year and 5-year marks, respectively. These findings highlight the effectiveness of automated RLR enforcement in influencing behavioral changes and provide valuable guidance for implementing similar measures in mixed-traffic environments in developing countries.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101329"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101326
Sarah B. Gruetzmacher , Clara B. Vaz , Ângela P. Ferreira
The energy policy of the European Union stresses the need for sustainable energy consumption, improvements in energy efficiency and lower fossil fuel dependence in a decoupling strategy from unstable democracies. Transportation still represents a sector largely dependent on fossil fuels, which come with several negative impacts. Measuring and assessing the sustainability of the transport sector becomes necessary. This study aims to assess the sustainability performance of the transport sector across 28 European countries over a four-year period, aligned with the policy agenda outlined in strategic documents. The methodological approach involves applying Benefit-of-the-Doubt (BoD) models, comparing a version that uses transformation methods for anti-isotonic sub-indicators with a variant that directly incorporates these sub-indicators as reverse indicators. In general, the European countries have improved the sustainability performance of their transport sector during the time span analyzed according to the results of both models. For the inefficient units, two improvement strategies are presented based on the profiles identified on the benchmarks from both models, which can be alternative stages to achieve the robust best practices of the benchmarks.
{"title":"Assessing the sustainable performance of the transport sector in European countries using alternative Benefit-of-the-Doubt models","authors":"Sarah B. Gruetzmacher , Clara B. Vaz , Ângela P. Ferreira","doi":"10.1016/j.trip.2025.101326","DOIUrl":"10.1016/j.trip.2025.101326","url":null,"abstract":"<div><div>The energy policy of the European Union stresses the need for sustainable energy consumption, improvements in energy efficiency and lower fossil fuel dependence in a decoupling strategy from unstable democracies. Transportation still represents a sector largely dependent on fossil fuels, which come with several negative impacts. Measuring and assessing the sustainability of the transport sector becomes necessary. This study aims to assess the sustainability performance of the transport sector across 28 European countries over a four-year period, aligned with the policy agenda outlined in strategic documents. The methodological approach involves applying Benefit-of-the-Doubt (BoD) models, comparing a version that uses transformation methods for anti-isotonic sub-indicators with a variant that directly incorporates these sub-indicators as reverse indicators. In general, the European countries have improved the sustainability performance of their transport sector during the time span analyzed according to the results of both models. For the inefficient units, two improvement strategies are presented based on the profiles identified on the benchmarks from both models, which can be alternative stages to achieve the robust best practices of the benchmarks.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101326"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban Air Mobility (UAM) can improve the transportation service offered in urban areas by potentially solving traffic congestion, thereby allowing customers to travel more efficiently across any city. This research primarily focuses on determining optimal locations for establishing electric vertical take-off and landing (eVTOL) air taxi infrastructure sites in urban cities using a three-phased approach. In Phase-1, Clustering Large Applications (CLARA) is developed to determine the potential set of air taxi infrastructure facilities. Next, an integrated metaheuristic-simulation approach is developed, in which the Genetic Algorithm (GA) model determines the sites to be opened, and based on this information, a simulation model (phase-3) is used to determine the routing-specific performance measures. We specifically consider New York City (NYC) as a case study and test the proposed approach using millions of estimated air taxi demands from prior studies. The results indicate that the number of operating stations required for efficient air taxi services is five (Central Park, JFK International Airport, lower Manhattan, Columbia University and Bronx), with an average customer time in system being about 32 min and a waiting time of 13 min per customer.
{"title":"A clustering-metaheuristic-simulation approach to determine air taxi operating site location","authors":"Varshini Priyaa Senthilnathan , Mohanapriya Singaravelu , Suchithra Rajendran , Sharan Srinivas","doi":"10.1016/j.trip.2025.101330","DOIUrl":"10.1016/j.trip.2025.101330","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) can improve the transportation service offered in urban areas by potentially solving traffic congestion, thereby allowing customers to travel more efficiently across any city. This research primarily focuses on determining optimal locations for establishing electric vertical take-off and landing (eVTOL) air taxi infrastructure sites in urban cities using a three-phased approach. In Phase-1, Clustering Large Applications (CLARA) is developed to determine the potential set of air taxi infrastructure facilities. Next, an integrated metaheuristic-simulation approach is developed, in which the Genetic Algorithm (GA) model determines the sites to be opened, and based on this information, a simulation model (phase-3) is used to determine the routing-specific performance measures. We specifically consider New York City (NYC) as a case study and test the proposed approach using millions of estimated air taxi demands from prior studies. The results indicate that the number of operating stations required for efficient air taxi services is five (Central Park, JFK International Airport, lower Manhattan, Columbia University and Bronx), with an average customer time in system being about 32 min and a waiting time of 13 min per customer.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101330"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101341
Hakkı Aksoy , María García Domene , Parthiban Loganathan , Simon Blakey , Elias Zea , Ricardo Vinuesa , Evelyn Otero
The environmental impact of air travel, largely driven by fossil-fuel consumption, remains a critical subject of debate. Addressing this challenge requires immediately adopting sustainable practices to mitigate its environmental footprint. While hydrogen and hybrid-electric propulsion technologies show promise for the future, current efforts focus on Sustainable Aviation Fuels (SAF) as a viable near-term solution to reduce aviation emissions while ensuring compatibility with existing aviation infrastructure. This paper examines the environmental impact of air travel, focusing on the emissions associated with conventional fuel and SAF. Using two methodologies, namely the subsonic fuel flow method (SF2) and an improved version of it, the emissions corrected subsonic fuel flow method (EC-SF2), non-CO2 emissions trends are analyzed along a flight trajectory from Stockholm to Bordeaux. The comparison between the two methods underscores the importance of accurate emission modeling, particularly for SAF correction on emission index. The SF2 method reveals that SAF fuels with higher calorific value than conventional fuel increased total HC and CO emissions while decreasing NOx emissions. Conversely, the EC-SF2 method resulted in a more homogeneous emissions reduction trend. Our proposed methodology, which corrects both fuel flow and emission index based on SAF-specific data, could, therefore, offer a more reliable estimation of emissions behavior for SAF. These findings highlight the sensitivity of emissions modeling on environmental assessment.
{"title":"Case study on SAF emissions from air travel considering emissions modeling impact","authors":"Hakkı Aksoy , María García Domene , Parthiban Loganathan , Simon Blakey , Elias Zea , Ricardo Vinuesa , Evelyn Otero","doi":"10.1016/j.trip.2025.101341","DOIUrl":"10.1016/j.trip.2025.101341","url":null,"abstract":"<div><div>The environmental impact of air travel, largely driven by fossil-fuel consumption, remains a critical subject of debate. Addressing this challenge requires immediately adopting sustainable practices to mitigate its environmental footprint. While hydrogen and hybrid-electric propulsion technologies show promise for the future, current efforts focus on Sustainable Aviation Fuels (SAF) as a viable near-term solution to reduce aviation emissions while ensuring compatibility with existing aviation infrastructure. This paper examines the environmental impact of air travel, focusing on the emissions associated with conventional fuel and SAF. Using two methodologies, namely the subsonic fuel flow method (SF2) and an improved version of it, the emissions corrected subsonic fuel flow method (EC-SF2), non-CO<sub>2</sub> emissions trends are analyzed along a flight trajectory from Stockholm to Bordeaux. The comparison between the two methods underscores the importance of accurate emission modeling, particularly for SAF correction on emission index. The SF2 method reveals that SAF fuels with higher calorific value than conventional fuel increased total HC and CO emissions while decreasing NO<sub>x</sub> emissions. Conversely, the EC-SF2 method resulted in a more homogeneous emissions reduction trend. Our proposed methodology, which corrects both fuel flow and emission index based on SAF-specific data, could, therefore, offer a more reliable estimation of emissions behavior for SAF. These findings highlight the sensitivity of emissions modeling on environmental assessment.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101341"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101327
Christopher Mondy , Matias Enz , Daniel Rust
Autonomous semi-trucks are poised to be a disruptive technology in the motor carrier industry, and many studies extol the virtues of autonomous vehicles. The benefits cited in these studies generally assume high market penetration rates, yet there is a lack of rigorous qualitative studies that investigate the factors that will drive autonomous truck adoption in the commercial transportation sector. This study describes a conceptual model featuring twelve factors that may affect autonomous truck adoption. These factors were identified from a grounded theory analysis of semi-structured interviews with a sample of transportation professionals from different companies, positions, and geographic regions within the United States. The results shed light on what might spur adoption of autonomous technologies in the motor carrier industry and provide information that can guide the development of new technologies, procedures, and regulations.
{"title":"An empirical analysis of factors affecting the commercial adoption of autonomous trucks","authors":"Christopher Mondy , Matias Enz , Daniel Rust","doi":"10.1016/j.trip.2025.101327","DOIUrl":"10.1016/j.trip.2025.101327","url":null,"abstract":"<div><div>Autonomous semi-trucks are poised to be a disruptive technology in the motor carrier industry, and many studies extol the virtues of autonomous vehicles. The benefits cited in these studies generally assume high market penetration rates, yet there is a lack of rigorous qualitative studies that investigate the factors that will drive autonomous truck adoption in the commercial transportation sector. This study describes a conceptual model featuring twelve factors that may affect autonomous truck adoption. These factors were identified from a grounded theory analysis of semi-structured interviews with a sample of transportation professionals from different companies, positions, and geographic regions within the United States. The results shed light on what might spur adoption of autonomous technologies in the motor carrier industry and provide information that can guide the development of new technologies, procedures, and regulations.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101327"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101315
Knut Veisten , Ståle Navrud , Kristin Magnussen
In various regions of the World, railway and road sections are affected by avalanches. Protective measures can reduce the risk of casualties as well as the risk of infrastructure closures. This paper explores the identification of additional economic benefits from avalanche risk-reducing measures. E.g., it has been hypothesized that avalanche risk provokes insecurity or worry, due to the avalanche risk as such. If there are additional benefit elements, these need to be assessed together with those impacts that are already accounted for, to avoid potential double-counting of benefits.
We applied a survey-based discrete choice experiment to a sample of train, bus and car travellers in Norway. They were asked to choose between trip alternatives that were specified by: i) annual frequency of avalanches threatening the infrastructure; ii) average avalanche volume/width hitting the infrastructure; iii) annual no. of infrastructure closures; iv) the decennial no. of casualties for the specified travel mode; v) travel time; and vi) travel cost.
The models of the choices show significantly negative coefficient signs for all six attributes. Thus, the travellers did on average indicate additional valuation of reducing avalanche frequency and avalanche volume/size, beyond the specified impacts on casualties and closures. When testing the valuation of avalanche frequency/size reduction against latent variables of avalanche insecurity and of neuroticism, using hybrid choice modelling, we find no significant associations. Insecurity/worry is not identified as a principal driver of the valuation of reduced avalanche risk, beyond the reduction in casualties and closures.
{"title":"Watch out! Travellers’ valuation of reduced avalanche risks on railways and roads","authors":"Knut Veisten , Ståle Navrud , Kristin Magnussen","doi":"10.1016/j.trip.2024.101315","DOIUrl":"10.1016/j.trip.2024.101315","url":null,"abstract":"<div><div>In various regions of the World, railway and road sections are affected by avalanches. Protective measures can reduce the risk of casualties as well as the risk of infrastructure closures. This paper explores the identification of additional economic benefits from avalanche risk-reducing measures. E.g., it has been hypothesized that avalanche risk provokes insecurity or worry, due to the avalanche risk as such. If there are additional benefit elements, these need to be assessed together with those impacts that are already accounted for, to avoid potential double-counting of benefits.</div><div>We applied a survey-based discrete choice experiment to a sample of train, bus and car travellers in Norway. They were asked to choose between trip alternatives that were specified by: i) annual frequency of avalanches threatening the infrastructure; ii) average avalanche volume/width hitting the infrastructure; iii) annual no. of infrastructure closures; iv) the decennial no. of casualties for the specified travel mode; v) travel time; and vi) travel cost.</div><div>The models of the choices show significantly negative coefficient signs for all six attributes. Thus, the travellers did on average indicate additional valuation of reducing avalanche frequency and avalanche volume/size, beyond the specified impacts on casualties and closures. When testing the valuation of avalanche frequency/size reduction against latent variables of avalanche insecurity and of neuroticism, using hybrid choice modelling, we find no significant associations. Insecurity/worry is not identified as a principal driver of the valuation of reduced avalanche risk, beyond the reduction in casualties and closures.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101315"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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