At a time of growing demand in commercial aviation, it is important to establish a trade-off between environmental impact, efficiency, and capacity. This is assessed through the study of Air Streams under a multi-criteria approach that pave the way for the deployment of commercial Formation Flights in continental airspace. This study describes a methodology to design Air Streams that could foster an efficient opportunistic Formation Flights pairing among aircraft. An evaluation of the main traffic flows that make up European airspace is conducted, followed by the design of two Air Streams. An study of potential use and savings is carried out, to evaluate Air Streams and Formation Flights synergy. The results of the heuristics applied show that Air Stream could manage around 10% of the aircraft flying in the airstream nearby area implementing Formation Flights. Significant savings could be achieved by the combination of Air Streams and Formation Flights concepts. The study estimates over 1600 tonnes of Fuel and over 5000 tonnes of CO2 savings annually, only with the use case scenario evaluated.
{"title":"Opportunistic commercial formation flights in continental airspace for greener aviation","authors":"Oriol Bracons Escarré , Christian Eduardo Verdonk Gallego , Miquel Angel Piera Eroles","doi":"10.1016/j.trip.2025.101818","DOIUrl":"10.1016/j.trip.2025.101818","url":null,"abstract":"<div><div>At a time of growing demand in commercial aviation, it is important to establish a trade-off between environmental impact, efficiency, and capacity. This is assessed through the study of Air Streams under a multi-criteria approach that pave the way for the deployment of commercial Formation Flights in continental airspace. This study describes a methodology to design Air Streams that could foster an efficient opportunistic Formation Flights pairing among aircraft. An evaluation of the main traffic flows that make up European airspace is conducted, followed by the design of two Air Streams. An study of potential use and savings is carried out, to evaluate Air Streams and Formation Flights synergy. The results of the heuristics applied show that Air Stream could manage around 10% of the aircraft flying in the airstream nearby area implementing Formation Flights. Significant savings could be achieved by the combination of Air Streams and Formation Flights concepts. The study estimates over 1600 tonnes of Fuel and over 5000 tonnes of CO<sub>2</sub> savings annually, only with the use case scenario evaluated.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101818"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101798
Pema Thinley , Christine Steinmetz-Weiss
This is the first study to address impacts on settlement patterns and livelihoods of Chumey Gewog1 and its people since Bhutan’s Primary National Highway (PNH-01) expansions. Through a series of in-depth interviews, site analysis and land use mapping, the study found that impacts of the PNH-01 varies across Chumey Gewog’s villages depending on geographical location and pre-existing conditions. Findings suggest villagers adopted non-farming economic activities to generate quick monetary returns versus undertaking traditional labour-intensive farming practices historically associated with Chumey resulting in linear settlement patterns and exhibiting signs of unplanned settlement sprawl. The research highlights the importance of implementing location-specific/tailored interventions to maximize benefits of the PNH-01. The study highlights opportunities of the PNH-01 for Bhutanese people and provides future research recommendations for local and national government interventions that can assist in mitigating challenges faced by agricultural communities. Designing a longitudinal research project of the PNH-01 and its settlements could inform government transport and regional planners a means to facilitate equitable development across the Gewog to improve market access and establish transportation networks to support farming communities in remote villages.
{"title":"Impacts of the East-West national highway (PNH-01) on settlement patterns and livelihood of Residents: A case study of the Chumey Gewog, Bhutan","authors":"Pema Thinley , Christine Steinmetz-Weiss","doi":"10.1016/j.trip.2025.101798","DOIUrl":"10.1016/j.trip.2025.101798","url":null,"abstract":"<div><div>This is the first study to address impacts on settlement patterns and livelihoods of Chumey <em>Gewog</em><span><span><sup>1</sup></span></span> and its people since Bhutan’s Primary National Highway (PNH-01) expansions. Through a series of in-depth interviews, site analysis and land use mapping, the study found that impacts of the PNH-01 varies across Chumey <em>Gewog’s</em> villages depending on geographical location and pre-existing conditions. Findings suggest villagers adopted non-farming economic activities to generate quick monetary returns versus undertaking traditional labour-intensive farming practices historically associated with Chumey resulting in linear settlement patterns and exhibiting signs of unplanned settlement sprawl. The research highlights the importance of implementing location-specific/tailored interventions to maximize benefits of the PNH-01. The study highlights opportunities of the PNH-01 for Bhutanese people and provides future research recommendations for local and national government interventions that can assist in mitigating challenges faced by agricultural communities. Designing a longitudinal research project of the PNH-01 and its settlements could inform government transport and regional planners a means to facilitate equitable development across the <em>Gewog</em> to improve market access and establish transportation networks to support farming communities in remote villages.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101798"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Understanding the dynamic shifts in population distribution is crucial for comprehending spatiotemporal mobility patterns and phenomena at the urban scale. This is particularly relevant when examining shifts in the origin–destination trip patterns, as changes in the dynamics may signify the impact and directionality of mobility flows across areas. This study focuses on data-driven research utilizing population dynamics data, more widely known as aggregated mobile phone location data, to estimate the origin–destination trip matrices in a more dynamic and contextual form. Departing from traditional static approaches to estimate origin destination, this research develops an enhanced gravity model framework to estimate time-varying trip matrices, enabling a more contextual and relevant understanding of mobility flows across different areas. The study then analyzes shifts in trip patterns from the estimated dynamic origin destination patterns, focusing on the impact of COVID-19 pandemic-related policies on urban travel flows in Kyoto city, Japan. By expanding the utilization and understanding of the dataset and method, this research contributes to the development of more contextual uses of trip pattern analysis in the fields of urban and transportation studies.
{"title":"Analyzing temporal mobility pattern shifts: Dynamic origin–destination estimation from aggregated mobile phone location data","authors":"Alvin Noviansyah, Nobuhiro Uno, Ryoji Matsunaka, Tomoki Nishigaki","doi":"10.1016/j.trip.2025.101806","DOIUrl":"10.1016/j.trip.2025.101806","url":null,"abstract":"<div><div>Understanding the dynamic shifts in population distribution is crucial for comprehending spatiotemporal mobility patterns and phenomena at the urban scale. This is particularly relevant when examining shifts in the origin–destination trip patterns, as changes in the dynamics may signify the impact and directionality of mobility flows across areas. This study focuses on data-driven research utilizing population dynamics data, more widely known as aggregated mobile phone location data, to estimate the origin–destination trip matrices in a more dynamic and contextual form. Departing from traditional static approaches to estimate origin destination, this research develops an enhanced gravity model framework to estimate time-varying trip matrices, enabling a more contextual and relevant understanding of mobility flows across different areas. The study then analyzes shifts in trip patterns from the estimated dynamic origin destination patterns, focusing on the impact of COVID-19 pandemic-related policies on urban travel flows in Kyoto city, Japan. By expanding the utilization and understanding of the dataset and method, this research contributes to the development of more contextual uses of trip pattern analysis in the fields of urban and transportation studies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101806"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101822
Michael Bissel, Anke Kläver
This study explores the potential of community-led shared mobility to achieve equitable transport, using a socially innovative cargo bike-sharing system in Berlin as a case study. The empirical approach combines booking records, survey responses, and spatial data. This approach enables an analysis of transport equity in terms of spatial distribution, as well as user structure and behavior. The results suggest that community-led initiatives may complement commercial shared mobility operators and be associated with more equitable transport system outcomes. In particular, the results show no differences in cargo bike host locations based on social status index groups. Additionally, the gender distribution aligns with that of the general population. Cargo bikes were found to be used for diverse purposes which differed by social status area and gender. The findings suggest that promoting socially innovative, community-led projects may represent a promising governance approach associated with enhanced transport equity.
{"title":"Civil society-led shared mobility for transport equity? An empirical analysis from Berlin","authors":"Michael Bissel, Anke Kläver","doi":"10.1016/j.trip.2025.101822","DOIUrl":"10.1016/j.trip.2025.101822","url":null,"abstract":"<div><div>This study explores the potential of community-led shared mobility to achieve equitable transport, using a socially innovative cargo bike-sharing system in Berlin as a case study. The empirical approach combines booking records, survey responses, and spatial data. This approach enables an analysis of transport equity in terms of spatial distribution, as well as user structure and behavior. The results suggest that community-led initiatives may complement commercial shared mobility operators and be associated with more equitable transport system outcomes. In particular, the results show no differences in cargo bike host locations based on social status index groups. Additionally, the gender distribution aligns with that of the general population. Cargo bikes were found to be used for diverse purposes which differed by social status area and gender. The findings suggest that promoting socially innovative, community-led projects may represent a promising governance approach associated with enhanced transport equity.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101822"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101824
Genet Alem Gebregiorgis, Stefan Greiving
The Dar es Salaam Bus Rapid Transit (DBRT) system is a cornerstone of urban mobility and socioeconomic development. However, its fixed-route, centralized design makes it highly vulnerable to flood-related disruptions, a risk exacerbated by climate change, unplanned urban development, and the loss of green spaces. Using DBRT, as case study this paper assesses systemic criticality of a transport system through surveys, key-informant interviews, participatory scenario workshops, and secondary research. The findings reveal profound logical and physical interdependencies between the DBRT and key economic sectors; a disruption could therefore cascade through critical infrastructures vital to the regional socioeconomic systems. To mitigate these risks, the study recommends integrating disaster risk management into transit planning, formalizing informal transportation for redundancy, and promoting nature-based solutions, such as recuperating wetland and green covers, to buffer against flooding and sea-level raise. Long-term strategies should pursue polycentric urban design to decrease reliance on centralized infrastructure. This study underscores the necessity of systemic criticality assessments for building resilient transit systems in rapidly growing cities.
{"title":"Dar es Salaam’s Bus-Rapid-Transit system in view of systemic criticality","authors":"Genet Alem Gebregiorgis, Stefan Greiving","doi":"10.1016/j.trip.2025.101824","DOIUrl":"10.1016/j.trip.2025.101824","url":null,"abstract":"<div><div>The Dar es Salaam Bus Rapid Transit (DBRT) system is a cornerstone of urban mobility and socioeconomic development. However, its fixed-route, centralized design makes it highly vulnerable to flood-related disruptions, a risk exacerbated by climate change, unplanned urban development, and the loss of green spaces. Using DBRT, as case study this paper assesses systemic criticality of a transport system through surveys, key-informant interviews, participatory scenario workshops, and secondary research. The findings reveal profound logical and physical interdependencies between the DBRT and key economic sectors; a disruption could therefore cascade through critical infrastructures vital to the regional socioeconomic systems. To mitigate these risks, the study recommends integrating disaster risk management into transit planning, formalizing informal transportation for redundancy, and promoting nature-based solutions, such as recuperating wetland and green covers, to buffer against flooding and sea-level raise. Long-term strategies should pursue polycentric urban design to decrease reliance on centralized infrastructure. This study underscores the necessity of systemic criticality assessments for building resilient transit systems in rapidly growing cities.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101824"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101807
Pichit Boonkrong , Teerawat Simmachan
Regions with persistently high road traffic fatality (RTF) rates remain a major global safety concern. Using a nationwide dataset of 20,448 road accidents recorded in Thailand in 2021, this study compares 6 count regression models including Poisson, Negative Binomial (NB), Zero-Inflated Poisson (ZIP), Zero-Inflated Negative Binomial (ZINB), Hurdle Poisson (HP), and Hurdle Negative Binomial (HNB) to identify the best-fitting model for explaining RTF counts. Each model was evaluated using five-fold cross-validation across seven performance criteria, including AIC, BIC, Pearson’s χ2, dispersion, pseudo-R2, MAE, and RMSE. The HNB model achieved the lowest AIC (11,557.17) and BIC (11,819.05), the dispersion statistic closest to unity (1.0460), and the highest pseudo-R2 (0.1479), confirming its superior goodness-of-fit and parsimony. The two-part HNB model separately estimated the likelihood of fatalities and the expected number of deaths given a fatal crash. In the zero part, festive months showed lower odds of fatality, while national highways and northeastern regions exhibited increased fatal risks. In the count part, fatal severity rose on highways and among larger vehicles such as cars and pickups. These findings reveal that road fatalities are driven by temporal, environmental, and vehicular factors. The study underscores the importance of robust count models for evidence-based road safety policy and targeted interventions.
{"title":"A comparative analytical framework for modeling road fatalities with count regression techniques","authors":"Pichit Boonkrong , Teerawat Simmachan","doi":"10.1016/j.trip.2025.101807","DOIUrl":"10.1016/j.trip.2025.101807","url":null,"abstract":"<div><div>Regions with persistently high road traffic fatality (RTF) rates remain a major global safety concern. Using a nationwide dataset of 20,448 road accidents recorded in Thailand in 2021, this study compares 6 count regression models including Poisson, Negative Binomial (NB), Zero-Inflated Poisson (ZIP), Zero-Inflated Negative Binomial (ZINB), Hurdle Poisson (HP), and Hurdle Negative Binomial (HNB) to identify the best-fitting model for explaining RTF counts. Each model was evaluated using five-fold cross-validation across seven performance criteria, including AIC, BIC, Pearson’s χ<sup>2</sup>, dispersion, pseudo-R<sup>2</sup>, MAE, and RMSE. The HNB model achieved the lowest AIC (11,557.17) and BIC (11,819.05), the dispersion statistic closest to unity (1.0460), and the highest pseudo-R<sup>2</sup> (0.1479), confirming its superior goodness-of-fit and parsimony. The two-part HNB model separately estimated the likelihood of fatalities and the expected number of deaths given a fatal crash. In the zero part, festive months showed lower odds of fatality, while national highways and northeastern regions exhibited increased fatal risks. In the count part, fatal severity rose on highways and among larger vehicles such as cars and pickups. These findings reveal that road fatalities are driven by temporal, environmental, and vehicular factors. The study underscores the importance of robust count models for evidence-based road safety policy and targeted interventions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101807"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101832
Osama A. Abaza, Matthew Hegland
Bridges serve as critical links in regional transportation networks, where seismic disruption can generate cascading impacts on mobility, accessibility, and emergency response. This study develops a transferable, scenario-based modeling framework to quantify how varying earthquake magnitudes influence bridge performance and regional connectivity. Structural, geotechnical, and seismic indicators are integrated within a formally defined ordinal logistic regression (OLR) model calibrated using post-event bridge inspection data from the 2018M7.1 Point Mackenzie earthquake in Southcentral Alaska. Predictor variables—including bridge age, condition, soil uniformity, and magnitude-scaled peak ground acceleration (PGA)—were used to estimate ordered damage probabilities across four earthquake scenarios (M6.5–M9.5).
Results indicate a nonlinear escalation in bridge vulnerability with increasing magnitude, with the highest damage concentrations along primary corridors characterized by limited redundancy. Under upper-bound scenarios, predicted collapse probabilities reach 20–25 %, producing potential isolation of communities reliant on single-route access. Accessibility modeling shows that even moderate structural degradation can propagate into disproportionately large regional mobility losses.
The framework supports resilience-oriented planning by linking probabilistic damage modeling with geospatial accessibility analysis, enabling agencies to identify corridor-level risks, prioritize retrofit investments, and evaluate emergency response strategies. Although demonstrated in Alaska, the approach is adaptable to other seismically active or infrastructure-limited regions. Key methodological assumptions and uncertainties, particularly those related to PGA scaling and model extrapolation—are explicitly acknowledged to guide appropriate interpretation of results.
桥梁是区域交通网络的关键环节,地震破坏会对交通、可达性和应急响应产生连锁影响。本研究开发了一个可转移的、基于场景的建模框架,以量化不同地震震级对桥梁性能和区域连通性的影响。结构、岩土和地震指标被整合到一个正式定义的有序逻辑回归(OLR)模型中,该模型使用阿拉斯加中南部2018M7.1 Point Mackenzie地震的事件后桥梁检查数据进行校准。预测变量-包括桥梁年龄,条件,土壤均匀性和震级峰值地面加速度(PGA) -用于估计四种地震情景(M6.5-M9.5)的有序破坏概率。结果表明,桥梁易损性呈非线性上升趋势,损伤集中在冗余有限的主要廊道沿线。在上限情景下,预测崩溃概率达到20 - 25%,产生依赖单路由访问的社区的潜在隔离。可达性模型表明,即使是适度的结构退化也会传播成不成比例的大区域流动性损失。该框架通过将概率损害建模与地理空间可达性分析联系起来,支持面向复原力的规划,使各机构能够识别走廊级风险,确定改造投资的优先次序,并评估应急响应战略。虽然在阿拉斯加进行了示范,但这种方法也适用于其他地震活跃或基础设施有限的地区。关键的方法假设和不确定性,特别是那些与PGA缩放和模型外推相关的假设和不确定性,被明确承认,以指导对结果的适当解释。
{"title":"Modeling seismic impacts on bridge networks and accessibility: a scenario-based framework for resilient transportation systems","authors":"Osama A. Abaza, Matthew Hegland","doi":"10.1016/j.trip.2025.101832","DOIUrl":"10.1016/j.trip.2025.101832","url":null,"abstract":"<div><div>Bridges serve as critical links in regional transportation networks, where seismic disruption can generate cascading impacts on mobility, accessibility, and emergency response. This study develops a transferable, scenario-based modeling framework to quantify how varying earthquake magnitudes influence bridge performance and regional connectivity. Structural, geotechnical, and seismic indicators are integrated within a formally defined ordinal logistic regression (OLR) model calibrated using post-event bridge inspection data from the 2018M7.1 Point Mackenzie earthquake in Southcentral Alaska. Predictor variables—including bridge age, condition, soil uniformity, and magnitude-scaled peak ground acceleration (PGA)—were used to estimate ordered damage probabilities across four earthquake scenarios (M6.5–M9.5).</div><div>Results indicate a nonlinear escalation in bridge vulnerability with increasing magnitude, with the highest damage concentrations along primary corridors characterized by limited redundancy. Under upper-bound scenarios, predicted collapse probabilities reach 20–25 %, producing potential isolation of communities reliant on single-route access. Accessibility modeling shows that even moderate structural degradation can propagate into disproportionately large regional mobility losses.</div><div>The framework supports resilience-oriented planning by linking probabilistic damage modeling with geospatial accessibility analysis, enabling agencies to identify corridor-level risks, prioritize retrofit investments, and evaluate emergency response strategies. Although demonstrated in Alaska, the approach is adaptable to other seismically active or infrastructure-limited regions. Key methodological assumptions and uncertainties, particularly those related to PGA scaling and model extrapolation—are explicitly acknowledged to guide appropriate interpretation of results.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101832"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101810
Pierluigi Della Vecchia , Claudio Mirabella , Michele Tuccillo , Carlo Emanuele Riboldi , Marco Fioriti , Fixherald Shahini , Francesca Roncolini
The general aviation sector is undergoing rapid transformation, driven by technological innovation and increasing market demand. However, certification frameworks remain predominantly document-based, resulting in inefficiencies and elevated costs. This study presents a digital certification framework grounded in Model-Based Systems Engineering (MBSE), utilizing the Systems Modeling Language (SysML) to encode the European Union Aviation Safety Agency (EASA) Certification Specifications (CS-23) and Acceptable Means of Compliance (AMC) into a structured, machine-readable model. The proposed methodology enables automated verification and validation, report generation, and traceability across regulatory artifacts.
Beyond its technical contributions, the framework addresses interdisciplinary challenges in the present regulatory landscape, systems engineering, and organizational communication. It highlights the complexity of certification processes, emphasizing the need for coherent information exchange among stakeholders with varying levels of technical proficiency. The study contributes to ongoing discussions in the social sciences regarding institutional adaptation, digital transformation, and collaborative governance in high-reliability sectors. The framework’s scalability to commercial aviation and its potential to support emerging aircraft architectures underscore its relevance to both industry and regulatory bodies.
{"title":"A SysML-based framework towards EASA CS-23 digitalization: An MBSE approach","authors":"Pierluigi Della Vecchia , Claudio Mirabella , Michele Tuccillo , Carlo Emanuele Riboldi , Marco Fioriti , Fixherald Shahini , Francesca Roncolini","doi":"10.1016/j.trip.2025.101810","DOIUrl":"10.1016/j.trip.2025.101810","url":null,"abstract":"<div><div>The general aviation sector is undergoing rapid transformation, driven by technological innovation and increasing market demand. However, certification frameworks remain predominantly document-based, resulting in inefficiencies and elevated costs. This study presents a digital certification framework grounded in Model-Based Systems Engineering (MBSE), utilizing the Systems Modeling Language (SysML) to encode the European Union Aviation Safety Agency (EASA) Certification Specifications (CS-23) and Acceptable Means of Compliance (AMC) into a structured, machine-readable model. The proposed methodology enables automated verification and validation, report generation, and traceability across regulatory artifacts.</div><div>Beyond its technical contributions, the framework addresses interdisciplinary challenges in the present regulatory landscape, systems engineering, and organizational communication. It highlights the complexity of certification processes, emphasizing the need for coherent information exchange among stakeholders with varying levels of technical proficiency. The study contributes to ongoing discussions in the social sciences regarding institutional adaptation, digital transformation, and collaborative governance in high-reliability sectors. The framework’s scalability to commercial aviation and its potential to support emerging aircraft architectures underscore its relevance to both industry and regulatory bodies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101810"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2026.101837
Sylvia A. Brady , Nels Grevstad , Sarah A. Schliemann , C. Glatthar
Individuals with disabilities, including those who are blind or have low vision (BLV), travel less frequently than non-disabled individuals due to persistent barriers across transportation modes. Ride-hailing services such as Uber and Lyft offer the potential to enhance mobility for the BLV community by providing flexible, on-demand travel options. However, many BLV individuals also experience discrimination when using these services, and there is a lack of research on their transportation and discrimination experiences. This study used an online survey as the first part of a mixed-methods research project to document and quantify the transportation experiences of BLV individuals, with a focus on ride-hailing. We explored differences in user satisfaction and perceptions of discrimination between Uber and Lyft and examined whether guide dog use contributes to higher rates of service denial or mistreatment. Our findings indicate that while ride-hailing services significantly improve access to destinations for BLV users, they are also the mode in which discrimination is most frequently reported. Guide dog users face notably higher rates of ride refusals. Respondents expressed slightly greater satisfaction with Lyft than with Uber. These findings underscore the dual nature of ride-hailing for BLV individuals: it offers greater independence but also introduces new challenges. This research has implications for ride-hailing companies seeking to improve accessibility, and for public agencies partnering with these platforms to deliver equitable, on-demand transportation services.
{"title":"Transportation, ride-hailing and discrimination among the blind and low vision community","authors":"Sylvia A. Brady , Nels Grevstad , Sarah A. Schliemann , C. Glatthar","doi":"10.1016/j.trip.2026.101837","DOIUrl":"10.1016/j.trip.2026.101837","url":null,"abstract":"<div><div>Individuals with disabilities, including those who are blind or have low vision (BLV), travel less frequently than non-disabled individuals due to persistent barriers across transportation modes. Ride-hailing services such as Uber and Lyft offer the potential to enhance mobility for the BLV community by providing flexible, on-demand travel options. However, many BLV individuals also experience discrimination when using these services, and there is a lack of research on their transportation and discrimination experiences. This study used an online survey as the first part of a mixed-methods research project to document and quantify the transportation experiences of BLV individuals, with a focus on ride-hailing. We explored differences in user satisfaction and perceptions of discrimination between Uber and Lyft and examined whether guide dog use contributes to higher rates of service denial or mistreatment. Our findings indicate that while ride-hailing services significantly improve access to destinations for BLV users, they are also the mode in which discrimination is most frequently reported. Guide dog users face notably higher rates of ride refusals. Respondents expressed slightly greater satisfaction with Lyft than with Uber. These findings underscore the dual nature of ride-hailing for BLV individuals: it offers greater independence but also introduces new challenges. This research has implications for ride-hailing companies seeking to improve accessibility, and for public agencies partnering with these platforms to deliver equitable, on-demand transportation services.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101837"},"PeriodicalIF":3.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.trip.2025.101811
Musab Abuaddous , Odey Alshboul , Ali Shehadeh
This study quantifies the environmental and economic implications of highway pavement construction and management in Jordan’s arid and semi-arid regions and evaluates policy-relevant adaptation pathways for 2025–2065, linking pavement engineering decisions to transportation-system sustainability and reliability. We couple a process-based life-cycle assessment (LCA) with a climate-driven deterioration–maintenance optimization model using projected stressors (+2.3 °C mean warming, +20 % extreme-heat days >40 °C, and higher rainfall variability). Under Business-as-Usual (BAU), phase contributions to total life-cycle emissions are: raw materials 45 %, construction 30 %, transport 15 %, maintenance 7 %, and end-of-life 3 %. Baseline emissions equal ∼300 tCO2e km−1 (asphalt) and ∼180 tCO2e km−1 (concrete). Optimization reduces emissions to ∼225 tCO2e km−1 (–25 %) and ∼150 tCO2e km−1 (–17 %), while lowering life-cycle costs by 22 % (asphalt) and 18 % (concrete). Policy packages amplify benefits: a Moderate Sustainability pathway reduces emissions by ∼20 % versus BAU, while a High Sustainability pathway achieves >40 % reduction and yields an 18 % net cost saving over 40 years despite 15–25 % higher upfront costs. Climate stress increases damage rates (asphalt 0.015 → 0.019 y−1; concrete 0.008 → 0.011 y−1), raising thermal cracking by 18 % and moisture-driven rutting by 15 %. Spatially, emissions are lowest in the Jordan Valley and highest in the Northern Highlands/Eastern Desert due to terrain and haul distances. Findings translate into actionable transport-policy levers—performance-grade upgrades, minimum recycled-content mandates, broad warm-mix adoption, and regionalized specifications—supporting lower-carbon, more climate-resilient networks with an estimated ≈30 % resilience/structural integrity gain under fiscally viable investment strategies.
本研究量化了约旦干旱和半干旱地区公路路面建设和管理的环境和经济影响,并评估了2025-2065年政策相关的适应途径,将路面工程决策与交通系统的可持续性和可靠性联系起来。我们将基于过程的生命周期评估(LCA)与气候驱动的退化维护优化模型结合起来,该模型使用了预测的压力源(平均升温+2.3°C,极端高温天数+ 20% >;40°C,以及更高的降雨量变异性)。在“一切照旧”(BAU)模式下,各个阶段对整个生命周期排放的贡献如下:原材料占45%,建筑占30%,运输占15%,维护占7%,生命周期结束占3%。基线排放量等于(沥青)约300吨二氧化碳当量公里−1,(混凝土)约180吨二氧化碳当量公里−1。优化后的排放量分别减少至~ 225吨二氧化碳当量km - 1(- 25%)和~ 150吨二氧化碳当量km - 1(- 17%),同时生命周期成本分别降低22%(沥青)和18%(混凝土)。一揽子政策可扩大效益:与BAU相比,中等可持续性途径可减少约20%的排放量,而高可持续性途径可减少40%的排放量,并在40年内节省18%的净成本,尽管前期成本高出15 - 25%。气候应力增加了损伤率(沥青0.015→0.019 y - 1;混凝土0.008→0.011 y - 1),使热裂率增加18%,水分导致车辙率增加15%。在空间上,由于地形和运输距离的原因,约旦河谷的排放量最低,北部高地/东部沙漠的排放量最高。研究结果转化为可操作的交通政策杠杆——性能等级升级、最低再循环含量规定、广泛采用暖混合燃料和区区化规范——支持低碳、更具气候适应性的交通网络,在财政上可行的投资策略下,预计可获得约30%的弹性/结构完整性增益。
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