{"title":"Assessing the spatial heterogeneous impacts of urban heat island effects on active travel by leveraging social media data","authors":"Teng Li , Zhuo Chen , Shuli Luo , Alexa Delbosc","doi":"10.1016/j.multra.2025.100243","DOIUrl":"10.1016/j.multra.2025.100243","url":null,"abstract":"<div><div>This study investigates the impacts of urban heat island (UHI) effects on active travel by leveraging social media data. A multiscale geographically weighted regression (MGWR) model is utilized to investigate the spatial heterogeneity of integrated influences of UHI effects, built environment, and sociodemographic factors on travel frequency for both peri-summer and all-year trips. The investigation is showcased in Greater Melbourne, Australia, where Twitter posts related to active travel were collected and analyzed to identify active travelers’ travel frequency in different suburbs. The results reveal that UHI effects had a significant negative impact on all suburbs, with greater intensity during peri-summer trips. Moreover, the results proved the spatial heterogeneity of the influence of UHI effects on active trips, with a more intensive influence in residential regions with high urban heat index values. Additionally, the density of tram stops, parkland areas, population density, and young adults had significant positive effects, while the unemployment rate and dwellings with one motor vehicle had negative impacts. This study contributes to the field of travel behavior analysis by completing location-contained social media data. Moreover, it identifies areas heavily impacted by UHI effects, enabling targeted measures such as expanding green spaces, using cooling materials, and enhancing energy practices to reduce UHI effects and promote a sustainable urban environment.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100243"},"PeriodicalIF":0.0,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631798","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}
{"title":"A duopoly competition problem of shared autonomous vehicles in a multimodal transportation system with government regulation","authors":"Qing Li , Zihao Yan , Ke Lu , Feixiong Liao","doi":"10.1016/j.multra.2025.100241","DOIUrl":"10.1016/j.multra.2025.100241","url":null,"abstract":"<div><div>Shared autonomous vehicles (SAVs) are expected to revolutionize urban mobility. To explore the complex dynamics of competition and cooperation between operators and other traditional transportation modes, this study proposes a tri-level programming model with equilibrium constraints in a multimodal transportation system. At the upper level, the government regulates the fleet size constraints and hub locations for SAVs. The middle level captures the effect of duopoly competition of SAV operators on fleet size and pricing considering the regulation constraints, which is represented as a 2-player noncooperative game with each player maximizing its profit. At the lower level, travelers’ responses to operational strategies are captured by the dynamic activity-travel assignment model in a multimodal transportation system. A hybrid genetic algorithm, involving a hub-based SAV relocation assignment and a route-swapping algorithm for travelers’ path choice at the lower level, is designed to solve the multi-objective programming problem at the middle level with certain government decisions. A numerical example with two SAV operators shows that the operator with higher-quality vehicles charges more but deploys a smaller fleet compared to the competitor deploying lower-cost vehicles. Government regulations can boost fleet utilization but are less effective when not strict.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100241"},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549014","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}
{"title":"Uncovering individual-level determinants of shared e-scooting travel frequency","authors":"Sajad Askari , Mahsa Merikhipour , Ehsan Rahimi , Farideddin Peiravian , Abolfazl (Kouros) Mohammadian","doi":"10.1016/j.multra.2025.100228","DOIUrl":"10.1016/j.multra.2025.100228","url":null,"abstract":"<div><div>Shared electric scooter services (SESS) can potentially contribute to sustainable urban transport. However, utilization rates remain low and cast doubt on their cost-effectiveness, energy and resource efficiency, and environmental benefits. While aggregate-level studies have examined shared e-scooter usage, individual-level factors remain underexplored. This study addresses that gap using a behavioral survey of 1,425 responses. We employed a random parameter ordered probit model to quantify the factors that influence the frequency of SESS usage. Study findings reveal a gender and generational gap, with women and older adults less likely to utilize e-scooter sharing compared to men, Millennials, and Gen Z. Additionally, low-income individuals and those without vehicles have a higher probability of being regular users. Multimodal transit users and individuals who receive reduced-fare transit are more likely to use SESS frequently. Individuals who shop online regularly, often a tech‑savvy group, are also more inclined to be frequent users. Furthermore, our findings indicate that built environment attributes are important. Specifically, the results show that living in areas with higher employment entropy, denser road networks, greater accessibility by transit, and highly walkable environments increases the likelihood of frequent SESS use.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100228"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549013","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}
{"title":"Solving synchromodal container transportation problem using a genetic algorithm","authors":"Ananthakrishnan Vaikkathe, Abdelhamid Benaini, Jaouad Boukachour","doi":"10.1016/j.multra.2025.100229","DOIUrl":"10.1016/j.multra.2025.100229","url":null,"abstract":"<div><div>This paper proposes a Genetic Algorithm(GA) to solve the synchromodal transportation problem. The objective is to find a feasible transportation path for container transportation while minimizing travel duration and <span><math><mrow><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> emissions. The transportation network is modeled in a multigraph and a novel chromosome encoding method, that takes into account the parallel edges is proposed, along with the GA operators. The parameters of the GA are set using Taguchi analysis. The model is validated on instances based on the Seine Axis in France while considering three modes of transport: Barge, Train, and Truck as well as a benchmark instance. The GA finds optimal solutions for small instances and provides good enough solutions with a low deviation from the best-known solution in larger instances.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100229"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535776","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}
{"title":"An optimization similarity fuzzy inference method for traffic signal control at an isolated intersection","authors":"Mahin Esmaeili , Ali Anjomshoae , Nasser Shahsavari-Pour , Punyaanek Srisurin , Ruth Banomyong","doi":"10.1016/j.multra.2025.100234","DOIUrl":"10.1016/j.multra.2025.100234","url":null,"abstract":"<div><div>Managing urban traffic is challenging because traffic patterns change unpredictably. Although fuzzy logic-based traffic signal control (TSC) systems like Mamdani and Sugeno work well, they struggle to adjust effectively to real-time traffic changes. This study introduces the Optimization Similarity Fuzzy Inference (OSFI) method, which improves traffic signal control at isolated intersections by continuously adjusting fuzzy rules based on the similarity between actual and desired outcomes. Unlike traditional models, OSFI uses truth tables to dynamically adjust signal timing and phase sequencing based on real-time factors such as vehicle arrival rates and queue lengths. Simulation results show that OSFI reduces average vehicle delays by 1.11–5.73% compared to Mamdani controllers and 0.69–4.84% compared to Sugeno controllers, with traffic throughput improvements of up to 18.75% during heavy traffic. These findings demonstrate OSFI’s ability to consistently improve traffic flow. Future research will focus on expanding OSFI to control networks of intersections and testing its real-world performance to address current challenges related to scalability and efficiency.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100234"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535775","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}
Zhuonan Jiang , Tianqi Gu , Zhuo Chen , Hua Liang , Jiao Jiao , Han Li
{"title":"Holiday ride-hailing at intercity transfer hubs: Where space squeezes and time stretches","authors":"Zhuonan Jiang , Tianqi Gu , Zhuo Chen , Hua Liang , Jiao Jiao , Han Li","doi":"10.1016/j.multra.2025.100239","DOIUrl":"10.1016/j.multra.2025.100239","url":null,"abstract":"<div><div>This study explores the spatiotemporal characteristics of ride-hailing services at intercity transfer hubs in Suzhou, China, examining ride-hailing trip patterns across different land use types, focusing on holidays and regular days. An algorithm is proposed to identify the ride-hailing trips to or from the intercity transfer hubs. During holidays, ride-hailing trips cover longer distances and incur higher fares, with a significant increase in trips related to transportation, tourist areas, and land use for higher education. The spatiotemporal distribution of ride-hailing trips from intercity transfer hubs shows spatial concentration and temporal dispersion during holidays, in contrast to the spatial dispersion and temporal concentration observed on regular days. Specifically, holiday trips are more evenly distributed throughout the day, while regular days exhibit significant morning and evening peaks. It is also found that ride-hailing trips are predominantly concentrated in central business districts, residential areas, and commercial zones, with a noticeable increase in trips to tourist attractions and land use for education during holidays, peaking at the start and end of the holiday period. In contrast, regular days exhibit concentrated travel demand during peak hours, mainly driven by commuting needs. Furthermore, ride-hailing services play a crucial role in areas with limited metro coverage and inconvenient bus transfers, serving as a vital supplement to the urban public transportation system, especially during holidays when passengers often carry large luggage. It highlights a high demand for ride-hailing transfers between different intercity transfer hubs, especially between two local intercity transfer hubs, indicating the need for improved rapid transit connections.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100239"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632370","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}
{"title":"Resilience assessment for bus-metro multimodal networks considering various attacking scenarios","authors":"Wenjun Jia , Ke Zhang , Xiaolei Ma , Meng Li","doi":"10.1016/j.multra.2025.100238","DOIUrl":"10.1016/j.multra.2025.100238","url":null,"abstract":"<div><div>Multimodal transportation systems significantly enhance travel convenience but also introduce vulnerabilities. Disruptions in one segment can cascade across the network, compromising overall network performance. These disruptions, often stemming from diverse attack scenarios, highlight the critical need to study and enhance resilience in transportation networks. This paper introduces a resilience assessment model that considers the characteristics of abrupt events in passenger networks. A series of attack scenarios are set up, categorized by the extent of node capability degradation, the number and types of nodes subjected to attack, and the duration of the attack. Focusing on Beijing's bus-metro multimodal network, the results show that in certain scenarios, recovery performance is worse when passengers transfer to both nearby bus and subway stations after a subway station attack, compared to transferring only to bus stations. This is due to longer walking transfer times and higher passenger volumes at subway stations, which increase flow delays and risk cascading failures. Furthermore, off-peak node failures also worsen network performance due to reduced scheduling frequency. Consequently, the entire transportation system requires an extended recovery period. These insights are critical for informing targeted emergency recovery strategies in the aftermath of public transportation disruptions.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 4","pages":"Article 100238"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549015","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}
Yagnik M. Bhavsar , Mazad S. Zaveri , Mehul S. Raval , Shaheriar B. Zaveri
{"title":"Evaluating defensive driving behaviour based on safe distance between vehicles: A case study using computer vision on UAV videos at urban roundabout","authors":"Yagnik M. Bhavsar , Mazad S. Zaveri , Mehul S. Raval , Shaheriar B. Zaveri","doi":"10.1016/j.multra.2025.100227","DOIUrl":"10.1016/j.multra.2025.100227","url":null,"abstract":"<div><div>While driving, maintaining a sufficient distance helps reduce collision risk. A time gap of two or three seconds on urban roads from a vehicle ahead is advised in defensive driving. The scenario becomes even more challenging in densely populated and developing countries because of limited road infrastructure, lane indiscipline, and heterogeneous traffic. The safe distance between vehicles and the driver’s reaction can be used as surrogate safety measures (SSMs) to evaluate defensive driving behaviour. This paper presents a case study evaluating defensive driving behaviour using the vision-based methodology and UAV video. This paper proposes two novel SSMs based on distance and acceleration and studies defensive driving behaviour, such as “for how long did a vehicle keep driving under another vehicle’s blind spots?” and “how is a vehicle driving (an interaction pattern) when another vehicle ahead is in its stopping distance range?.” Finally, each driver’s star rating depends on their interactions with other vehicles. We observed that around 48 % of the vehicles did not follow defensive driving practices. In our vehicle inter-class interaction analyses, we also found 16.6 % Rear-End, 6.3 % Side-Swipe, and 1.5 % Angled collision risks occurred between car-car, car-car, and 2Wheeler(2W)-car, respectively. Our methodology could help traffic law enforcement agencies and policy-makers elevate road traffic safety by taking counter-measures against the low-star vehicle categories in developing countries. Example videos of star rating are available on <span><span>https://www.youtube.com/@YagnikBhavsar</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 3","pages":"Article 100227"},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902344","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}
{"title":"Exploring walkability patterns in diverse urban landscapes: A comprehensive spatial geographic analysis of a megacity in Thailand","authors":"Pawinee Iamtrakul , Sararad Chayphong , Varameth Vichiensan , Paramet Luathep , Nuwong Chollacoop , Atsushi Fukuda , Tuenjai Fukuda","doi":"10.1016/j.multra.2025.100226","DOIUrl":"10.1016/j.multra.2025.100226","url":null,"abstract":"<div><div>Urbanization, urban sprawl, and the increasing population contribute to challenges in density and diversity within each metropolitan area, creating the need to find sustainable solutions for urban transport. This study investigates the correlation between the urban context and walkability, specifically in Bangkok, Thailand. A spatial geographic approach was employed for urban typology analysis, utilizing multivariate clustering, including walkability assessment through a geographic information system and urban and mobility indices. The findings of the urban context analysis revealed five distinct forms: rural, rural town, suburban, urban, and urban core, each characterized by varying levels of walking abilities. The findings contribute to understanding the nature of activities characteristic of both urban environments and mobility in terms of spatial environmental conditions present in each urban context. Urban and transport planners should explore strategies that align with the specific environmental context of each area to promote walking effectively.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 3","pages":"Article 100226"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768358","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}
{"title":"A coordinated passenger flow control model for urban rail transit considering willingness to board","authors":"Guanghui Su , Pei Li , Deheng Lian , Pengli Mo","doi":"10.1016/j.multra.2025.100225","DOIUrl":"10.1016/j.multra.2025.100225","url":null,"abstract":"<div><div>Effective control of passenger flow is essential for optimizing train capacity utilization in urban rail transit systems, enhancing operational efficiency and service quality. Passenger travel demand patterns and platform preferences significantly influence train capacity utilization, as passengers often exhibit preferences for specific trains, reflecting their willingness to board. This paper proposes a coordinated passenger flow control model that incorporates passengers’ willingness to board, further improving travel efficiency and fairness. The model applies the First-Come-First-In (FCFI) rule to represent passenger demand within flow control strategies and introduces a mechanism that permits the limited left-behind passenger volume to prevent trip abandonment caused by restrictive controls.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 3","pages":"Article 100225"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807329","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}