Multimodal Transportation最新文献_第6页

On the safety effects of off-peak hour speed characteristics of urban arterials 城市主干道非高峰时速度特性对安全的影响

Multimodal Transportation

Pub Date : 2025-02-12 DOI: 10.1016/j.multra.2025.100206

Sixuan Xu , Xinbo Xie , Chen Wang , Junyi Yan

Among the factors related to traffic crash risk, the speed characteristics are crucial. Most studies on the safety effect of speed characteristics focused on highways and rural roads, whereas the investigations on urban roads are not comprehensive. Urban arterials operate at higher speeds during off-peak hours, which may possibly lead to more serious crashes. Hence, this study focuses on the correlation between speed characteristics and serious crash occurrence (i.e., injuries and fatalities) on urban arterials during off-peak hours, while considering the interaction between speed and road/traffic characteristics. The spatial autocorrelation and intrinsic correlation of injury and fatal crashes are analyzed by using multivariate conditional autoregressive model (MVCAR) from 12 urban arterials in a district in Ningbo, China. Research findings include: (1) speed characteristics, including the percentage of speeding vehicles, mean speed, speed standard deviation, speed skewness, were found as significant and the inclusion of interaction terms of speed characteristics improved the model fit; (2) the interaction terms of percentage of speeding vehicles with the presence of median and access density, speed skewness with access density showed significant effects; (3) the interaction term of mean speed and access density are positively correlated with crash risk; (4) Speed standard deviation is positively correlated with crash risk. The findings can provide guidance for improving urban speed management and safety.

在与交通事故风险相关的因素中，速度特性是至关重要的。关于速度特性安全效应的研究大多集中在高速公路和农村道路上，而对城市道路的研究并不全面。城市主干道在非高峰时段以更高的速度运行，这可能会导致更严重的交通事故。因此，本研究的重点是在考虑速度与道路/交通特征之间的相互作用的同时，研究非高峰时段城市主干道上的速度特性与严重碰撞发生（即伤害和死亡）之间的相关性。采用多变量条件自回归模型（MVCAR）对宁波市某城区12条主干道的伤害与致命交通事故的空间自相关性和内在相关性进行了分析。研究发现：(1)超速车辆百分比、平均速度、速度标准差、速度偏度等速度特性显著，车速特性交互项的加入改善了模型拟合；(2)超速车辆百分比与中位数、通道密度、速度偏度的交互作用项对通道密度有显著影响；(3)平均速度和通行密度的交互项与碰撞风险正相关；(4)速度标准差与碰撞风险呈正相关。研究结果可为改善城市速度管理和安全提供指导。

{"title":"On the safety effects of off-peak hour speed characteristics of urban arterials","authors":"Sixuan Xu , Xinbo Xie , Chen Wang , Junyi Yan","doi":"10.1016/j.multra.2025.100206","DOIUrl":"10.1016/j.multra.2025.100206","url":null,"abstract":"<div><div>Among the factors related to traffic crash risk, the speed characteristics are crucial. Most studies on the safety effect of speed characteristics focused on highways and rural roads, whereas the investigations on urban roads are not comprehensive. Urban arterials operate at higher speeds during off-peak hours, which may possibly lead to more serious crashes. Hence, this study focuses on the correlation between speed characteristics and serious crash occurrence (i.e., injuries and fatalities) on urban arterials during off-peak hours, while considering the interaction between speed and road/traffic characteristics. The spatial autocorrelation and intrinsic correlation of injury and fatal crashes are analyzed by using multivariate conditional autoregressive model (MVCAR) from 12 urban arterials in a district in Ningbo, China. Research findings include: (1) speed characteristics, including the percentage of speeding vehicles, mean speed, speed standard deviation, speed skewness, were found as significant and the inclusion of interaction terms of speed characteristics improved the model fit; (2) the interaction terms of percentage of speeding vehicles with the presence of median and access density, speed skewness with access density showed significant effects; (3) the interaction term of mean speed and access density are positively correlated with crash risk; (4) Speed standard deviation is positively correlated with crash risk. The findings can provide guidance for improving urban speed management and safety.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100206"},"PeriodicalIF":0.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552975","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}

引用次数: 0

Exploring shared e-scooter trip patterns and links to public transport service level 探索共享电动车出行模式及与公共交通服务水平的联系

Multimodal Transportation

Pub Date : 2025-02-11 DOI: 10.1016/j.multra.2025.100205

Graham Currie , Alexa Delbosc , Ryan Cox , Mahesha Jayawardhena , James Reynolds

This paper explores how public transport and shared e-scooter travel interact. Trip end travel patterns of shared e-scooter users are explored in relation to Public Transport service levels. An index measuring transit service level is developed. This is compared to spatial and temporal patterns of e-scooter trip ends to explore the hypothesis that e-scooter use is stronger in areas where inner area transit offers a poorer quality service i.e. are e-scooters acting as a ‘gap filler’ to transit providing first-last mile access to transit?

Analysis methodologies including comparative spatial and temporal mapping of service level and trip end concentrations supported by statistical tests. A novel approach is also adopted to compare PT service level at each e-scooter trip end which identifies potential first-last mile and gap filling e-scooter trips from a large trip end database.

Results show e-scooter trip ends are concentrated in areas and at times when transit service levels are highest. This suggests that shared e-scooters may be competing with transit service rather than filling service gaps. We therefore conclude that the hypothesis that e-scooters act as a ‘gap filler’ for areas of low transit use is not supported.

Nevertheless, we have found limited and specific evidence of times and areas where ‘gap filling’ and first-last mile trips are apparent. Night time, early morning and weekend e-scooter travel volume is high when transit service levels are low. We also found limited evidence of spatial gaps in transit where first-last mile rail access was occurring and some evidence that rail-linked e-scooter travel was from lower service level trip ends and that these patterns increased with e-scooter trip distance.

本文探讨了公共交通与共享电动滑板车出行的互动关系。研究了共享电动滑板车用户的出行模式与公共交通服务水平的关系。提出了衡量公交服务水平的指标。这与电动滑板车出行结束的时空模式进行了比较，以探索在内部区域交通服务质量较差的地区，电动滑板车的使用更强的假设，即电动滑板车是否充当了交通的“填充物”，为交通提供了最初的最后一英里通道？分析方法，包括由统计试验支持的服务水平和行程终点集中度的比较空间和时间映射。采用了一种新颖的方法来比较每个电动滑板车出行端PT服务水平，该方法从大型出行端数据库中识别出潜在的首最后一英里和缺口填充电动滑板车出行。结果表明，电动滑板车出行终点集中在交通服务水平最高的地区和时段。这表明共享电动滑板车可能会与公交服务竞争，而不是填补服务空白。因此，我们得出的结论是，电动滑板车在交通使用率低的地区充当“填充物”的假设是不支持的。尽管如此，我们已经找到了有限的具体证据，证明“填补空白”和“头到最后一英里”的旅行在时间和领域是明显的。在交通服务水平较低的时候，夜间、清晨和周末电动滑板车的出行量较高。我们还发现了有限的交通空间差距的证据，在最初的最后一英里轨道交通发生的地方，一些证据表明，与轨道相连的电动滑板车旅行来自较低服务水平的旅行终点，这些模式随着电动滑板车旅行距离的增加而增加。

{"title":"Exploring shared e-scooter trip patterns and links to public transport service level","authors":"Graham Currie , Alexa Delbosc , Ryan Cox , Mahesha Jayawardhena , James Reynolds","doi":"10.1016/j.multra.2025.100205","DOIUrl":"10.1016/j.multra.2025.100205","url":null,"abstract":"<div><div>This paper explores how public transport and shared e-scooter travel interact. Trip end travel patterns of shared e-scooter users are explored in relation to Public Transport service levels. An index measuring transit service level is developed. This is compared to spatial and temporal patterns of e-scooter trip ends to explore the hypothesis that e-scooter use is stronger in areas where inner area transit offers a poorer quality service i.e. are e-scooters acting as a ‘gap filler’ to transit providing first-last mile access to transit?</div><div>Analysis methodologies including comparative spatial and temporal mapping of service level and trip end concentrations supported by statistical tests. A novel approach is also adopted to compare PT service level at each e-scooter trip end which identifies potential first-last mile and gap filling e-scooter trips from a large trip end database.</div><div>Results show e-scooter trip ends are concentrated in areas and at times when transit service levels are highest. This suggests that shared e-scooters may be competing with transit service rather than filling service gaps. We therefore conclude that the hypothesis that e-scooters act as a ‘gap filler’ for areas of low transit use is not supported.</div><div>Nevertheless, we have found limited and specific evidence of times and areas where ‘gap filling’ and first-last mile trips are apparent. Night time, early morning and weekend e-scooter travel volume is high when transit service levels are low. We also found limited evidence of spatial gaps in transit where first-last mile rail access was occurring and some evidence that rail-linked e-scooter travel was from lower service level trip ends and that these patterns increased with e-scooter trip distance.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100205"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444355","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}

引用次数: 0

User feedback assessment of region-focused mobility-as-a-service bundles 以区域为中心的移动即服务捆绑包的用户反馈评估

Multimodal Transportation

Pub Date : 2025-01-29 DOI: 10.1016/j.multra.2025.100204

Sofia Suárez , Eloisa Macedo , Gennaro Ciccarelli , Jorge M. Bandeira

Mobility-as-a-Service (MaaS) is viewed as a prospective approach to encourage sustainable mobility. To ensure the effectiveness of MaaS subscription plans, continuous feedback and communication with users are crucial. The objective of this study is to develop a methodology for designing region-focused MaaS bundles and assess their viability through end-user's feedback and its potential for increasing users’ uptake of more sustainable travel. To explore user willingness to adopt the suggested MaaS bundles and estimate net changes in carbon dioxide (CO₂) and nitrogen oxide (NOx) emissions, stated preference surveys (SPS) were conducted in the Portuguese cities of Aveiro and Coimbra. Results suggest a preference for bundles offering unlimited travel on public transport and, due to the efficient public transport network in Coimbra, the willingness to use such bundles was higher than for Aveiro. In an optimistic scenario, average emission savings of 35 % for CO₂ and 30 % for NOx emissions, specifically for the most frequent trips, were found. In a realistic scenario with values adjusted to revealed preferences, these reductions drop to 5 % for CO₂ and 4 % for NOx. Overall, our research highlights the complexities associated with behavioural changes and underscores the importance of policies that consider the intricacies of human behaviour. Furthermore, the findings regarding the introduction of MaaS bundles emphasize the pivotal role of a robust PT system in driving changes in travel behaviour among the population, contributing to mitigating the negative effects of unsustainable, carbon-dependent travel choices.

出行即服务（MaaS）被视为一种鼓励可持续出行的前瞻性方法。为了确保MaaS订阅计划的有效性，与用户的持续反馈和沟通至关重要。本研究的目的是开发一种设计以区域为重点的MaaS套餐的方法，并通过最终用户的反馈评估其可行性，以及提高用户对更可持续旅行的接受程度的潜力。为了探索用户采用建议的MaaS包的意愿，并估计二氧化碳（CO2）和氮氧化物（NOx）排放的净变化，在葡萄牙城市阿威罗和科英布拉进行了声明偏好调查（SPS）。结果表明，人们更倾向于使用提供无限制公共交通出行的捆绑包，由于科英布拉高效的公共交通网络，使用这种捆绑包的意愿高于阿威罗。在乐观的情况下，特别是在最频繁的旅行中，二氧化碳排放量平均减少35%，氮氧化物排放量平均减少30%。在一个现实的场景中，根据所显示的偏好调整值，这些减少量将下降到二氧化碳的5%和氮氧化物的4%。总的来说，我们的研究强调了与行为变化相关的复杂性，并强调了考虑人类行为复杂性的政策的重要性。此外，关于引入MaaS套餐的研究结果强调了强大的PT系统在推动人口旅行行为变化方面的关键作用，有助于减轻不可持续的、依赖碳的旅行选择的负面影响。

{"title":"User feedback assessment of region-focused mobility-as-a-service bundles","authors":"Sofia Suárez , Eloisa Macedo , Gennaro Ciccarelli , Jorge M. Bandeira","doi":"10.1016/j.multra.2025.100204","DOIUrl":"10.1016/j.multra.2025.100204","url":null,"abstract":"<div><div>Mobility-as-a-Service (MaaS) is viewed as a prospective approach to encourage sustainable mobility. To ensure the effectiveness of MaaS subscription plans, continuous feedback and communication with users are crucial. The objective of this study is to develop a methodology for designing region-focused MaaS bundles and assess their viability through end-user's feedback and its potential for increasing users’ uptake of more sustainable travel. To explore user willingness to adopt the suggested MaaS bundles and estimate net changes in carbon dioxide (CO<sub>2</sub>) and nitrogen oxide (NOx) emissions, stated preference surveys (SPS) were conducted in the Portuguese cities of Aveiro and Coimbra. Results suggest a preference for bundles offering unlimited travel on public transport and, due to the efficient public transport network in Coimbra, the willingness to use such bundles was higher than for Aveiro. In an optimistic scenario, average emission savings of 35 % for CO<sub>2</sub> and 30 % for NOx emissions, specifically for the most frequent trips, were found. In a realistic scenario with values adjusted to revealed preferences, these reductions drop to 5 % for CO<sub>2</sub> and 4 % for NOx. Overall, our research highlights the complexities associated with behavioural changes and underscores the importance of policies that consider the intricacies of human behaviour. Furthermore, the findings regarding the introduction of MaaS bundles emphasize the pivotal role of a robust PT system in driving changes in travel behaviour among the population, contributing to mitigating the negative effects of unsustainable, carbon-dependent travel choices.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100204"},"PeriodicalIF":0.0,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474515","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}

引用次数: 0

Integrated planning, operation and optimization of coupled transportation and energy systems 交通和能源耦合系统的综合规划、运行和优化

Multimodal Transportation

Pub Date : 2025-01-24 DOI: 10.1016/j.multra.2025.100199

Arsalan Najafi , Kun Gao , Omkar Parishwad , Mahdi Pourakbari-Kasmaei , Radu-Emil Precup , Raul-Cristian Roman

引用次数: 0

Traffic flow theory-based modeling of bike-vehicle interactions for enhanced safety and mobility 基于交通流理论的自行车-车辆交互建模，提高安全性和机动性

Multimodal Transportation

Pub Date : 2025-01-23 DOI: 10.1016/j.multra.2025.100202

Mustafa Gadah , Xuesong Zhou , Mohammad Abbasi , Vamshi Yellisetty

This paper introduces an innovative approach to enhancing active transportation analysis and decision support by addressing the notable research gap of integrating traffic flow analysis, spatio-temporal trajectory models, and an input-output (moving queue) diagram. We establish a unique four-stage method for assessing bike-vehicle traffic interaction on designated road links: 1) Given the input of volume, we convert it to speed and density using the fundamental diagram and Q-K curves under different congestion conditions. 2) We analyze vehicle trajectories and utilize an input-output (moving queue) diagram to calculate the total exposures between bikes and vehicles as a function of speed difference and the product of bike and vehicle volume, ensuring the balance equations for both vehicle and bike exposure individually. 3) Beginning at the moment a vehicle enters a shared facility, we apply an illustrative method to determine the duration of individual exposure time, adjusting Newell’s car-following model to accommodate for various phases of driver reactions, transitioning from anticipation to overtaking/yield phase. 4) We measure the overall impact of exposure on mobility and safety using a multimodal semi-dynamic traffic assignment that focuses on both delay and exposure-based utility across various facility types and development scenarios. Our research underscores that controlling the flow of bikes and vehicles is a pivotal factor in determining the relative bike exposure to risk, offering valuable insights for the future development of transportation models and safety improvement strategies using a case study from Gilbert, AZ.

本文通过整合交通流分析、时空轨迹模型和投入-产出（移动队列）图，提出了一种创新的方法来增强主动交通分析和决策支持。我们建立了一种独特的四阶段方法来评估指定路段的自行车-车辆交通互动：1)给定输入量，利用基本图和不同拥堵条件下的Q-K曲线将其转换为速度和密度。2)分析车辆轨迹，利用输入-输出（移动队列）图计算自行车和车辆之间的总暴露作为速度差和自行车与车辆体积乘积的函数，确保车辆和自行车暴露的平衡方程。3)从车辆进入共享设施的那一刻开始，我们应用说说性方法确定个体暴露时间的持续时间，调整Newell的汽车跟随模型以适应驾驶员反应的各个阶段，从预期过渡到超车/退让阶段。4)我们使用多模式半动态交通分配来衡量暴露对移动性和安全性的总体影响，该分配侧重于各种设施类型和开发方案中基于延迟和暴露的效用。我们的研究强调，控制自行车和车辆的流动是决定自行车相对暴露于风险的关键因素，通过对亚利桑那州吉尔伯特的案例研究，为未来交通模式的发展和安全改进策略提供了有价值的见解。

{"title":"Traffic flow theory-based modeling of bike-vehicle interactions for enhanced safety and mobility","authors":"Mustafa Gadah , Xuesong Zhou , Mohammad Abbasi , Vamshi Yellisetty","doi":"10.1016/j.multra.2025.100202","DOIUrl":"10.1016/j.multra.2025.100202","url":null,"abstract":"<div><div>This paper introduces an innovative approach to enhancing active transportation analysis and decision support by addressing the notable research gap of integrating traffic flow analysis, spatio-temporal trajectory models, and an input-output (moving queue) diagram. We establish a unique four-stage method for assessing bike-vehicle traffic interaction on designated road links: 1) Given the input of volume, we convert it to speed and density using the fundamental diagram and Q-K curves under different congestion conditions. 2) We analyze vehicle trajectories and utilize an input-output (moving queue) diagram to calculate the total exposures between bikes and vehicles as a function of speed difference and the product of bike and vehicle volume, ensuring the balance equations for both vehicle and bike exposure individually. 3) Beginning at the moment a vehicle enters a shared facility, we apply an illustrative method to determine the duration of individual exposure time, adjusting Newell’s car-following model to accommodate for various phases of driver reactions, transitioning from anticipation to overtaking/yield phase. 4) We measure the overall impact of exposure on mobility and safety using a multimodal semi-dynamic traffic assignment that focuses on both delay and exposure-based utility across various facility types and development scenarios. Our research underscores that controlling the flow of bikes and vehicles is a pivotal factor in determining the relative bike exposure to risk, offering valuable insights for the future development of transportation models and safety improvement strategies using a case study from Gilbert, AZ.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100202"},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715708","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}

引用次数: 0

Effect of COVID-19 pandemic on freight volume, revenue and expenditure of deendayal port in India: An ARIMA forecasting model COVID-19大流行对印度独立港口货运量、收入和支出的影响：ARIMA预测模型

Multimodal Transportation

Pub Date : 2025-01-18 DOI: 10.1016/j.multra.2025.100201

Deepjyoti Das , Aditya Saxena

Shipping sector is vital to Indian economy, making it crucial to understand the economic impact of the COVID-19 pandemic on port operations to develop strategies for future resilience. This study examines the effects of COVID-19 on Deendayal Port, a key Indian port, by analyzing freight volume, revenue, and expenditure data from April 2012 to October 2022. Autoregressive Integrated Moving Average (ARIMA) modeling covers pre-COVID, two COVID-19 waves, and post-COVID scenarios. Ordinary Least Squares (OLS) regression models for revenue and expenditure evaluate economic losses. The results show 6.2% decline in freight volume during the first wave, with a decrease from 123.4 million tons (Mt) to 115.8 Mt, leading to a monthly average loss of 0.6 Mt. The second wave saw recovery, with freight volume increasing from the forecasted 127.6 Mt to 129.6 Mt, resulting in a monthly gain of 0.2 Mt. Revenue losses during wave 1 were 215 crore INR, while wave 2 saw a revenue increase of 57 crore INR. The study highlights the importance of operational efficiency and managing key cost drivers like volume and manpower to maintain financial stability. These findings lay a foundation for future research to strengthen the shipping industry's resilience and sustainability in post-pandemic world.

航运业对印度经济至关重要，因此了解2019冠状病毒病大流行对港口运营的经济影响，以制定未来抵御能力战略至关重要。本研究通过分析2012年4月至2022年10月的货运量、收入和支出数据，考察了2019冠状病毒病对印度主要港口迪恩达亚尔港的影响。自回归综合移动平均（ARIMA）模型涵盖了COVID-19前、两个COVID-19波和COVID-19后的情景。普通最小二乘（OLS）回归模型的收入和支出评估经济损失。结果显示，第一波货运量下降6.2%，从1.234亿吨减少到1.158亿吨，导致每月平均损失0.6亿吨。第二波出现复苏，货运量从预测的1.276亿吨增加到1.296亿吨，导致每月增加0.2亿吨。第1波的收入损失为2.15亿卢比，而第2波的收入增加了5.7亿卢比。该研究强调了运营效率和管理数量和人力等关键成本驱动因素对维持金融稳定的重要性。这些发现为未来的研究奠定了基础，以加强航运业在大流行后世界的复原力和可持续性。

{"title":"Effect of COVID-19 pandemic on freight volume, revenue and expenditure of deendayal port in India: An ARIMA forecasting model","authors":"Deepjyoti Das , Aditya Saxena","doi":"10.1016/j.multra.2025.100201","DOIUrl":"10.1016/j.multra.2025.100201","url":null,"abstract":"<div><div>Shipping sector is vital to Indian economy, making it crucial to understand the economic impact of the COVID-19 pandemic on port operations to develop strategies for future resilience. This study examines the effects of COVID-19 on Deendayal Port, a key Indian port, by analyzing freight volume, revenue, and expenditure data from April 2012 to October 2022. Autoregressive Integrated Moving Average (ARIMA) modeling covers pre-COVID, two COVID-19 waves, and post-COVID scenarios. Ordinary Least Squares (OLS) regression models for revenue and expenditure evaluate economic losses. The results show 6.2% decline in freight volume during the first wave, with a decrease from 123.4 million tons (Mt) to 115.8 Mt, leading to a monthly average loss of 0.6 Mt. The second wave saw recovery, with freight volume increasing from the forecasted 127.6 Mt to 129.6 Mt, resulting in a monthly gain of 0.2 Mt. Revenue losses during wave 1 were 215 crore INR, while wave 2 saw a revenue increase of 57 crore INR. The study highlights the importance of operational efficiency and managing key cost drivers like volume and manpower to maintain financial stability. These findings lay a foundation for future research to strengthen the shipping industry's resilience and sustainability in post-pandemic world.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100201"},"PeriodicalIF":0.0,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099536","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}

引用次数: 0

Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars 基于技术接受和风险感知理论的城市空中交通采用建模——以飞行汽车为例

Multimodal Transportation

Pub Date : 2025-01-17 DOI: 10.1016/j.multra.2025.100200

Sangen Hu , Zikang Huang , Ke Wang , Haiyuan Lin , Mingyang Pei

Flying cars, a symbol of Urban Air Mobility (UAM), signify a pivotal step in revolutionizing urban transportation and play a pivotal role in shaping future transport systems. To enhance travelers' willingness to accept flying cars and promote the widespread adoption of this novel transportation mode, this study develops a comprehensive model to explore key factors determining the public's acceptance of flying cars by integrating the Technology Acceptance Model, Risk Perception Theory, and Trust Theory. The validity of the model was confirmed through a rigorous structure equation modeling analysis, utilizing 553 sample data collected from a network questionnaire survey across a diverse demographic of the Chinese market. Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. Heterogeneity analysis further uncovered how demographic factors (such as age, gender, education, and possession of a driver's license) impacted perceptions and acceptance. As the study concludes, despite general optimism, public acceptance of flying cars is strongly influenced by factors such as cost, safety, and privacy concerns play crucial roles in public acceptance. The insights from this study provide valuable implications for manufacturers, policymakers, and marketers in strategizing the introduction and promotion of flying cars.

飞行汽车是城市空中交通（UAM）的象征，标志着城市交通革命的关键一步，在塑造未来的交通系统中发挥着关键作用。为了提高旅行者对飞行汽车的接受意愿，促进这种新型交通方式的广泛采用，本研究通过整合技术接受模型、风险感知理论和信任理论，建立了一个综合模型，探讨公众对飞行汽车接受程度的关键因素。通过严格的结构方程建模分析，利用从中国市场不同人口统计的网络问卷调查中收集的553个样本数据，证实了模型的有效性。结果显示，使用飞行汽车的意愿与各种因素之间存在显著关联，包括对使用的态度、感知到的有用性和个人创新能力。异质性分析进一步揭示了人口因素（如年龄、性别、教育程度和持有驾照）如何影响人们的认知和接受度。正如研究得出的结论，尽管普遍乐观，但公众对飞行汽车的接受程度受到成本、安全和隐私等因素的强烈影响，这些因素在公众接受度中起着至关重要的作用。这项研究的见解为制造商、政策制定者和营销人员制定引入和推广飞行汽车的战略提供了有价值的启示。

{"title":"Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars","authors":"Sangen Hu , Zikang Huang , Ke Wang , Haiyuan Lin , Mingyang Pei","doi":"10.1016/j.multra.2025.100200","DOIUrl":"10.1016/j.multra.2025.100200","url":null,"abstract":"<div><div>Flying cars, a symbol of Urban Air Mobility (UAM), signify a pivotal step in revolutionizing urban transportation and play a pivotal role in shaping future transport systems. To enhance travelers' willingness to accept flying cars and promote the widespread adoption of this novel transportation mode, this study develops a comprehensive model to explore key factors determining the public's acceptance of flying cars by integrating the Technology Acceptance Model, Risk Perception Theory, and Trust Theory. The validity of the model was confirmed through a rigorous structure equation modeling analysis, utilizing 553 sample data collected from a network questionnaire survey across a diverse demographic of the Chinese market. Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. Heterogeneity analysis further uncovered how demographic factors (such as age, gender, education, and possession of a driver's license) impacted perceptions and acceptance. As the study concludes, despite general optimism, public acceptance of flying cars is strongly influenced by factors such as cost, safety, and privacy concerns play crucial roles in public acceptance. The insights from this study provide valuable implications for manufacturers, policymakers, and marketers in strategizing the introduction and promotion of flying cars.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100200"},"PeriodicalIF":0.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099537","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}

引用次数: 0

Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method 注意感知差距：通过贝叶斯最佳-最差方法识别共享移动服务的利益相关者群体之间的观点差异

Multimodal Transportation

Pub Date : 2025-01-15 DOI: 10.1016/j.multra.2025.100198

Ehsan Amirnazmiafshar , Marco Diana

This study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy. Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Worst Method (BWM) multicriteria technique, it highlights key differences in prioritizing factors influencing shared mobility demand.

Key Findings: For car-sharing, policy-makers overestimate the importance of trip purpose compared to both users and non-users, while undervaluing service availability. Operators undervalue trip-related factors, such as travel time and departure time, while overemphasizing user-friendliness. For bike-sharing, policy-makers overestimate travel time compared to users while undervaluing travel comfort and environmental friendliness compared to both users and non-users. Operators underestimate trip-related factors, including travel distance and trip purpose, while overemphasizing environmental friendliness, particularly compared to non-users. For scooter-sharing, policy-makers underestimate trip-related characteristics, such as travel time and departure time, while overestimating travel cost and user-friendliness compared to non-users. Operators undervalue travel comfort and service availability, while overestimating travel distance, especially compared to users.

Managerial Insights: For car-sharing, policy-makers should expand service coverage and incentivize vehicle deployment, while operators should use dynamic fleet management and offer flexible booking options. For bike-sharing, policy-makers should subsidize fleet expansion and improve infrastructure, while operators should transition to free-floating models and integrate navigation tools. For scooter-sharing, policy-makers should enforce safety standards and improve accessibility, while operators should invest in high-quality scooters and adopt competitive pricing models.

Bridging these perception gaps is essential for fostering shared mobility adoption and enhancing user satisfaction.

本研究调查了意大利都灵的利益相关者（政策制定者、运营商、用户和非用户）对汽车共享、自行车共享和踏板车共享系统的认知差距。基于2021年11月至2022年2月期间收集的628项调查，并使用贝叶斯最佳最差方法（BWM）多标准技术进行分析，该研究突出了影响共享出行需求的因素优先级的关键差异。主要发现：对于汽车共享，政策制定者高估了出行目的对用户和非用户的重要性，而低估了服务的可用性。运营商低估了与旅行相关的因素，如旅行时间和出发时间，而过分强调用户友好性。对于共享单车，决策者高估了用户的出行时间，而低估了用户和非用户的出行舒适度和环保性。运营商低估了旅行相关的因素，包括旅行距离和旅行目的，而过度强调环境友好性，特别是与非用户相比。对于滑板车共享，政策制定者低估了出行相关的特征，如出行时间和出发时间，同时高估了出行成本和与非用户相比的用户友好性。运营商低估了旅行的舒适性和服务的可用性，而高估了旅行距离，尤其是与用户相比。管理见解：对于汽车共享，政策制定者应该扩大服务范围，激励车辆部署，而运营商应该采用动态车队管理，并提供灵活的预订选择。对于共享单车，政策制定者应该补贴车队扩张和改善基础设施，而运营商应该过渡到自由浮动模式，并整合导航工具。对于共享滑板车，政策制定者应该加强安全标准，提高可达性，而运营商应该投资于高质量的滑板车，并采用有竞争力的定价模式。弥合这些认知差距对于促进共享出行普及和提高用户满意度至关重要。

{"title":"Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method","authors":"Ehsan Amirnazmiafshar , Marco Diana","doi":"10.1016/j.multra.2025.100198","DOIUrl":"10.1016/j.multra.2025.100198","url":null,"abstract":"<div><div>This study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy. Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Worst Method (BWM) multicriteria technique, it highlights key differences in prioritizing factors influencing shared mobility demand.</div><div>Key Findings: For car-sharing, policy-makers overestimate the importance of trip purpose compared to both users and non-users, while undervaluing service availability. Operators undervalue trip-related factors, such as travel time and departure time, while overemphasizing user-friendliness. For bike-sharing, policy-makers overestimate travel time compared to users while undervaluing travel comfort and environmental friendliness compared to both users and non-users. Operators underestimate trip-related factors, including travel distance and trip purpose, while overemphasizing environmental friendliness, particularly compared to non-users. For scooter-sharing, policy-makers underestimate trip-related characteristics, such as travel time and departure time, while overestimating travel cost and user-friendliness compared to non-users. Operators undervalue travel comfort and service availability, while overestimating travel distance, especially compared to users.</div><div>Managerial Insights: For car-sharing, policy-makers should expand service coverage and incentivize vehicle deployment, while operators should use dynamic fleet management and offer flexible booking options. For bike-sharing, policy-makers should subsidize fleet expansion and improve infrastructure, while operators should transition to free-floating models and integrate navigation tools. For scooter-sharing, policy-makers should enforce safety standards and improve accessibility, while operators should invest in high-quality scooters and adopt competitive pricing models.</div><div>Bridging these perception gaps is essential for fostering shared mobility adoption and enhancing user satisfaction.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 2","pages":"Article 100198"},"PeriodicalIF":0.0,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099538","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}

引用次数: 0

Analysis of motorcyclists crash severity using cluster correspondence and hierarchical binary logit models 基于聚类对应和层次二元logit模型的摩托车碰撞严重程度分析

Multimodal Transportation

Pub Date : 2025-01-10 DOI: 10.1016/j.multra.2025.100197

Richard Dzinyela , Bahar Dadashova , Grant Westfall , Subasish Das , Chiara Silvestri-Dobrovolny , Emmanuel Kofi Adanu , Dominique Lord

Crashes involving motorcyclists account for a significant portion of traffic-related injuries and fatalities. Despite motorcycles making only three percent of all registered vehicles, motorcyclists account for 14 percent of all roadway fatalities. As the number of motorcyclists increase, there is an urgent need to understand the factors that affect the severity of injuries they sustain in crashes. In this paper, we use cluster correspondence analysis (CCA) and hierarchical binary logit model to explore the factors associated with motorcyclists’ crash injury severities in Utah between 2016 and 2020. Cluster correspondence analysis was used to cluster the crash data into seven groups, while hierarchical binary logit model was used to identify the significant factors that contributed to the injury severity of motorcycle crashes. The results of this study indicate that among the crash-contributing factors the motorcyclist age, roadway alignment, roadside safety systems and temporal factors significantly contribute to motorcyclist crash severities. The model results further account for the correlation of variables within the clusters in the crash data. With the deeper understanding of the relationship between crash factors and injury severity in this study, the findings can help decision makers to implement targeted countermeasures to improve motorcyclist safety.

涉及摩托车手的撞车事故占交通相关伤亡事故的很大一部分。尽管摩托车只占所有登记车辆的3%，但摩托车手占所有道路死亡人数的14%。随着摩托车手人数的增加，迫切需要了解影响他们在碰撞中受伤严重程度的因素。本文采用聚类对应分析（CCA）和层次二元logit模型对2016 - 2020年犹他州摩托车手碰撞损伤严重程度的影响因素进行了研究。采用聚类对应分析方法将碰撞数据聚类为7类，并采用层次二元logit模型识别影响摩托车碰撞伤害严重程度的显著因素。研究结果表明，摩托车手年龄、道路线形、道路安全系统和时间因素对摩托车手碰撞严重程度有显著影响。模型结果进一步解释了碰撞数据中集群内变量的相关性。随着本研究中碰撞因素与伤害严重程度之间关系的深入了解，研究结果可以帮助决策者实施有针对性的对策，以提高摩托车驾驶员的安全水平。

{"title":"Analysis of motorcyclists crash severity using cluster correspondence and hierarchical binary logit models","authors":"Richard Dzinyela , Bahar Dadashova , Grant Westfall , Subasish Das , Chiara Silvestri-Dobrovolny , Emmanuel Kofi Adanu , Dominique Lord","doi":"10.1016/j.multra.2025.100197","DOIUrl":"10.1016/j.multra.2025.100197","url":null,"abstract":"<div><div>Crashes involving motorcyclists account for a significant portion of traffic-related injuries and fatalities. Despite motorcycles making only three percent of all registered vehicles, motorcyclists account for 14 percent of all roadway fatalities. As the number of motorcyclists increase, there is an urgent need to understand the factors that affect the severity of injuries they sustain in crashes. In this paper, we use cluster correspondence analysis (CCA) and hierarchical binary logit model to explore the factors associated with motorcyclists’ crash injury severities in Utah between 2016 and 2020. Cluster correspondence analysis was used to cluster the crash data into seven groups, while hierarchical binary logit model was used to identify the significant factors that contributed to the injury severity of motorcycle crashes. The results of this study indicate that among the crash-contributing factors the motorcyclist age, roadway alignment, roadside safety systems and temporal factors significantly contribute to motorcyclist crash severities. The model results further account for the correlation of variables within the clusters in the crash data. With the deeper understanding of the relationship between crash factors and injury severity in this study, the findings can help decision makers to implement targeted countermeasures to improve motorcyclist safety.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132801","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}

引用次数: 0

A cost function approximation method for dynamic vehicle routing with docking and LIFO constraints 具有对接和后进先出约束的车辆动态路径的成本函数逼近方法

Multimodal Transportation

Pub Date : 2025-01-09 DOI: 10.1016/j.multra.2025.100194

Markó Horváth, Tamás Kis, Péter Györgyi

In this paper, we study a dynamic pickup and delivery problem with docking constraints. There is a homogeneous fleet of vehicles to serve pickup-and-delivery requests at given locations. The vehicles can be loaded up to their capacity, while unloading has to follow the last-in-first-out (LIFO) rule. The locations have a limited number of docking ports for loading and unloading, which may force the vehicles to wait. The problem is dynamic since the transportation requests arrive real-time, over the day. Accordingly, the routes of the vehicles are to be determined dynamically. The goal is to satisfy all the requests such that a combination of tardiness penalties and traveling costs is minimized. We propose a cost function approximation based solution method. In each decision epoch, we solve the respective optimization problem with a perturbed objective function to ensure the solutions remain adaptable to accommodate new requests. We penalize waiting times and idle vehicles. We propose a variable neighborhood search based method for solving the optimization problems, and we apply two existing local search operators, and we also introduce a new one. We evaluate our method using a widely adopted benchmark dataset, and the results demonstrate that our approach significantly surpasses the current state-of-the-art methods.

本文研究了一个具有对接约束的动态取货问题。在给定的地点，有一个相同的车队来满足取货和送货的要求。车辆可以装载到最大容量，而卸载必须遵循后进先出（LIFO）规则。这些地点用于装卸的对接端口数量有限，这可能迫使车辆等待。这个问题是动态的，因为运输请求在一天内实时到达。因此，车辆的路线需要动态确定。我们的目标是满足所有的要求，从而将延误处罚和差旅费用的组合降到最低。我们提出了一种基于成本函数近似的求解方法。在每个决策时期，我们用摄动目标函数来解决各自的优化问题，以确保解决方案能够适应新的请求。我们惩罚等待时间和闲置车辆。提出了一种基于可变邻域搜索的优化算法，并在此基础上引入了一种新的局部搜索算子。我们使用广泛采用的基准数据集来评估我们的方法，结果表明我们的方法明显优于当前最先进的方法。

{"title":"A cost function approximation method for dynamic vehicle routing with docking and LIFO constraints","authors":"Markó Horváth, Tamás Kis, Péter Györgyi","doi":"10.1016/j.multra.2025.100194","DOIUrl":"10.1016/j.multra.2025.100194","url":null,"abstract":"<div><div>In this paper, we study a dynamic pickup and delivery problem with docking constraints. There is a homogeneous fleet of vehicles to serve pickup-and-delivery requests at given locations. The vehicles can be loaded up to their capacity, while unloading has to follow the last-in-first-out (LIFO) rule. The locations have a limited number of docking ports for loading and unloading, which may force the vehicles to wait. The problem is dynamic since the transportation requests arrive real-time, over the day. Accordingly, the routes of the vehicles are to be determined dynamically. The goal is to satisfy all the requests such that a combination of tardiness penalties and traveling costs is minimized. We propose a cost function approximation based solution method. In each decision epoch, we solve the respective optimization problem with a perturbed objective function to ensure the solutions remain adaptable to accommodate new requests. We penalize waiting times and idle vehicles. We propose a variable neighborhood search based method for solving the optimization problems, and we apply two existing local search operators, and we also introduce a new one. We evaluate our method using a widely adopted benchmark dataset, and the results demonstrate that our approach significantly surpasses the current state-of-the-art methods.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100194"},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133446","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}

引用次数: 0