Multimodal Transportation最新文献_第2页

A foundational dwell time model for regional railways 区域铁路基本停留时间模型

Multimodal Transportation Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.multra.2026.100290

Kenneth Ng, Nirajan Shiwakoti, Peter Stasinopoulos

{"title":"A foundational dwell time model for regional railways","authors":"Kenneth Ng, Nirajan Shiwakoti, Peter Stasinopoulos","doi":"10.1016/j.multra.2026.100290","DOIUrl":"10.1016/j.multra.2026.100290","url":null,"abstract":"<div><div>This study presents a novel foundational Regional Dwell Time (RDT) Model tailored for regional railway networks, addressing the gap of existing dwell time models specifically designed for this type of railway. Using video-based observations from Victoria, Australia, empirical data were collected and analysed to develop a statistical regression model integrating passenger flow dynamics and operational constants such as door operation and train dispatch procedures. The proposed RDT Model was calibrated and validated against 398 regional train services at two stations. The model was compared with established statistical dwell time models in the literature. The RDT Model demonstrated superior predictive accuracy, with significantly lower error metrics (RMSE, MAPE, MAE) compared to alternative models. The study emphasizes the significance of operational time in dwell time estimations and highlights opportunities for reducing dwell time through improved operational procedures. Findings suggest the RDT Model's adaptability to various other regional railways, provided operational constants are recalibrated. This model serves as a proof-of-concept and a novel framework for dwell time modelling in peri‑urban regional railways, with broader applicability contingent on future multi-corridor validation. Future research on regional railways should aim to build on this type of model and explore real-time data integration and machine learning techniques to enhance predictive capabilities and network efficiency.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 2","pages":"Article 100290"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187565","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}

引用次数: 0

A bi-objective slot allocation model under airport capacity and resource utilization 考虑机场容量和资源利用的双目标机位分配模型

Multimodal Transportation Pub Date : 2026-06-01 Epub Date: 2025-11-15 DOI: 10.1016/j.multra.2025.100273

Priyadarshan Loshan, Loshaka Perera

{"title":"A bi-objective slot allocation model under airport capacity and resource utilization","authors":"Priyadarshan Loshan, Loshaka Perera","doi":"10.1016/j.multra.2025.100273","DOIUrl":"10.1016/j.multra.2025.100273","url":null,"abstract":"<div><div>Most airports operate below their declared capacity, yet expansion through costly infrastructure development remains the primary strategy for meeting the rising demand for flights. Inefficient slot allocation, underutilised airside resources, and a lack of detailed demand–capacity analysis hinder performance, leading to rejected slot requests that may cost the industry billions of dollars annually. This research proposes a practical alternative: optimizing existing capacity before pursuing expansion using a bi-objective mathematical model. This model simultaneously maximizes the utilisation of runway, apron, and terminal gate capacity through revised slot scheduling, and incorporates real-time operational constraints to minimise delay propagation while maintaining separation minima. The model was validated using real data from Bandaranaike International Airport-Colombo (BIA). The proposed linear programming model demonstrated increased average airside resource utilisation on peak days, from 44.9% to 62.7%, while ensuring that the current schedule peak traffic intensities are maintained. Through delay optimization, the proposed schedule is capable of reducing congestion and cumulative delays compared to the non-optimized schedule, mainly when delays are propagated due to uncertainties. With an average delay reduction of 140.80 min per scenario, the model's validity was confirmed, providing strong evidence of its robustness and reliability. These results demonstrate the potential of optimized slot allocation as a decision-support tool, enabling fairer access for new entrants, reducing delays, and enhancing efficiency across existing operations.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 2","pages":"Article 100273"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623482","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}

引用次数: 0

A method for determining pickup and delivery locations of intercity customized bus based on passenger demand and POIs 基于乘客需求和poi的城际定制巴士接送地点确定方法

Multimodal Transportation Pub Date : 2026-06-01 Epub Date: 2025-10-24 DOI: 10.1016/j.multra.2025.100270

Yueying Huo , Huijuan Zhou , Feng Hao , Man Zhang , Yachao Liu

{"title":"A method for determining pickup and delivery locations of intercity customized bus based on passenger demand and POIs","authors":"Yueying Huo , Huijuan Zhou , Feng Hao , Man Zhang , Yachao Liu","doi":"10.1016/j.multra.2025.100270","DOIUrl":"10.1016/j.multra.2025.100270","url":null,"abstract":"<div><div>Intercity customized bus is a new mode of road passenger transport that relies on the internet platform to obtain passengers' reservation travel demands and provide passengers with “door-to-door” transport service between cities. The determining of Pickup and Delivery locations is essential for its operation, as it provides the possibility of “door-to-door” direct transport service. Existing methods for determining Pickup and Delivery locations mainly focus on clustering passenger demand data, which will lead to the problem of passengers and drivers having difficulty in quickly finding sites in the road network. Therefore, this study aims to propose a new method for determining Pickup and Delivery locations both considering passenger demand data and POIs. Based on the passenger reservation data and AutoNavi Map API, suitable POI categories are selected to derive the actual walking distances and routes between passengers and different POIs. Through two rounds of screening, The POIs with the wider service coverage and the smallest actual walking distance for passengers was selected as the sites. The results show that by utilizing the new method for determining Pickup and Delivery locations, we identified the locations of suitable sites and controlled the actual walking distance of passengers within 500 m in the road network, which will provide convenience to both drivers and passengers. This study will provide a reference basis for optimizing the site setting in intercity customized bus.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 2","pages":"Article 100270"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145529075","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}

引用次数: 0

A demand response to line planning 对线路规划的需求响应

Multimodal Transportation Pub Date : 2026-06-01 Epub Date: 2025-12-09 DOI: 10.1016/j.multra.2025.100285

Prasetyaning Diah Rizky Lestari , Ronghui Liu , Richard Batley

{"title":"A demand response to line planning","authors":"Prasetyaning Diah Rizky Lestari , Ronghui Liu , Richard Batley","doi":"10.1016/j.multra.2025.100285","DOIUrl":"10.1016/j.multra.2025.100285","url":null,"abstract":"<div><div>As a linking factor between supply and demand, line planning is a crucial aspect of long-term railway planning. It aims to create a viable line system that optimises specific objectives by determining stop patterns and service frequencies to meet the predicted passenger demand. In the proposed model, railway operators can choose from different line plan designs based on line planning outcomes. The objective functions include economic objectives, focusing on either cost or capacity. We introduce a model to examine how demand responds to different line plans. This study focuses on stop patterns and service frequencies as the primary factors of line plan-related service quality. The model is intended as a tool for policymaking and evaluating attractiveness through metrics including generalised journey time (GJT) and/or generalised cost. The changes in demand for different line plan designs are simulated using the proposed metrics until equilibrium between the assignment and demand model is reached. This proposed model represents a significant advancement, providing reliable line plans for decision-making. It applies a similar approach commonly used for timetable-related service quality, enhancing railway planning effectiveness. To validate the model, we present a case study of a small-scale future network for Indonesia’s Jakarta-Surabaya semi-high-speed train.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 2","pages":"Article 100285"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799758","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}

引用次数: 0

Investigating factors that influence the frequency of ride hailing use among university students in Banda Aceh, Indonesia 调查影响印尼班达亚齐大学生网约车使用频率的因素

Multimodal Transportation Pub Date : 2026-03-01 Epub Date: 2025-04-23 DOI: 10.1016/j.multra.2025.100231

Fadhlullah Apriandy, Lulusi Lulusi, Ruhdi Faisal, Juliana Fisaini, Luthfi Chaliqi Taufiq, Aqlima Putri

{"title":"Investigating factors that influence the frequency of ride hailing use among university students in Banda Aceh, Indonesia","authors":"Fadhlullah Apriandy, Lulusi Lulusi, Ruhdi Faisal, Juliana Fisaini, Luthfi Chaliqi Taufiq, Aqlima Putri","doi":"10.1016/j.multra.2025.100231","DOIUrl":"10.1016/j.multra.2025.100231","url":null,"abstract":"<div><div>The widespread deployment of information and communication technology (ICT) has allowed ride hailing services to grow exponentially over the last few years. This study aims to investigate ride hailing use frequency among university students in Banda Aceh, Indonesia. The city offers unique characteristics since it has limited public transport facilities, a growing number of vehicle ownership, and traffic dominated by motorcycles. Ride hailing services in this city are predominantly motorcycle-based, hence they could potentially have substitution effects on private vehicle use and ownership. This study focused on university students because their travel behaviour often differs from general public, and they form the majority users of ride hailing services. Ordinal logistic regression was employed, drawing from 219 valid responses from a survey disseminated in 2023. The variables explored include individual and household characteristics, travel attributes, and perceptions on ride hailing services. It was found that the most significant factors that encourage students to frequently use ride hailing services include working part-time, having high allowance, perceiving good level of convenience and service. On the other hand, attributes that have the biggest effects in discouraging ride hailing use include low travel cost, sitting in 5th semester or later, and living in a private house. This study offers insights into ride hailing behaviour in the context of a city with limited public transport facilities and severe motorcycle composition, which can help regulators and operators to improve policies around the platforms.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 1","pages":"Article 100231"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145420453","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}

引用次数: 0

Youth and shared mobility: Unveiling intentions in Kathmandu's gig economy 青年与共享出行：揭示加德满都零工经济的意图

Multimodal Transportation Pub Date : 2026-03-01 Epub Date: 2025-04-25 DOI: 10.1016/j.multra.2025.100237

Merina Maharjan , Niranjan Devkota , Ghanashyam Khanal , Prashiddha Basnet , Devid Kumar Basyal , Udaya Raj Paudel , Ramhari Poudyal , Mijala Kayestha , Ranjana Kumari Dnuwar

引用次数: 0

Reinforcement learning based mobile energy disseminator dispatching for on-road electric vehicle charging 基于强化学习的道路电动汽车充电移动能量分发器调度

Multimodal Transportation Pub Date : 2026-03-01 Epub Date: 2025-04-24 DOI: 10.1016/j.multra.2025.100232

Jiaming Wang , Jiqian Dong , Haotian Shi , Shreyas Sundaram , Samuel Labi , Sikai Chen

{"title":"Reinforcement learning based mobile energy disseminator dispatching for on-road electric vehicle charging","authors":"Jiaming Wang , Jiqian Dong , Haotian Shi , Shreyas Sundaram , Samuel Labi , Sikai Chen","doi":"10.1016/j.multra.2025.100232","DOIUrl":"10.1016/j.multra.2025.100232","url":null,"abstract":"<div><div>The rapid growth of electric vehicles (EVs) exacerbates the existing challenges of vehicle range anxiety and charging infrastructure inadequacy. To address these concerns, promising solutions have emerged, including vehicle-to-vehicle dynamic wireless charging (V2V-DWC) technologies, particularly Mobile Energy Disseminators (MEDs). A MED is a large vehicle bearing non-contact technology equipment that charges participating EVs in its proximity. This paper establishes a platform for reliable simulation of the energy transfer between the MED and the EV, develops models that describe EV battery consumption and V2V charging dynamics, and develops an AI-based framework for MED dispatching. The first component of the developed platform is a realistic reinforcement learning (RL) based highway environment termed ``ChargingEnv.'' This component incorporates reliable charging simulation that accounts for two common practical issues in wireless charging deployment: charging panel misalignment and realistic EV battery consumption patterns. The second component involves multiple deep RL benchmark models trained in ``ChargingEnv'' to maximize the MED deployment charging service quality within charging resource constraints. Findings from numerical experiments demonstrate that the model trained in the framework substantially alleviates battery depletion concerns. The framework can serve as a tool for road agencies or private-sector investors to efficiently plan their MED deployments.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 1","pages":"Article 100232"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145420450","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}

引用次数: 0

Autonomous vehicle adoption behavior and safety concern: A study of public perception 自动驾驶汽车使用行为与安全关注：公众认知研究

Multimodal Transportation Pub Date : 2026-03-01 Epub Date: 2025-07-05 DOI: 10.1016/j.multra.2025.100252

Fatemeh Nazari , Mohamadhossein Noruzoliaee , Abolfazl (Kouros) Mohammadian

{"title":"Autonomous vehicle adoption behavior and safety concern: A study of public perception","authors":"Fatemeh Nazari , Mohamadhossein Noruzoliaee , Abolfazl (Kouros) Mohammadian","doi":"10.1016/j.multra.2025.100252","DOIUrl":"10.1016/j.multra.2025.100252","url":null,"abstract":"<div><div>Realizing the economic and societal benefits of autonomous vehicles (AVs) hinges on widespread public acceptance. However, existing research offers limited insights into two key behavioral factors shaping AV acceptance, namely, perceived AV safety concern and travel behavior, the latter reflecting how heterogenous mobility patterns influence the AV acceptance. These factors are often treated as exogenous, limiting insight into their true behavioral interdependencies with AV acceptance and their distinct behavioral roots. This study addresses these gaps by introducing a recursive trivariate econometric model that jointly estimates AV acceptance, perceived safety concern, and current travel behavior (proxied by annual vehicle-miles traveled or VMT). The recursive structure accounts for structural endogeneity, enabling the unbiased estimation of how safety concern and travel behavior influence AV acceptance, while treating both as endogenous constructs shaped by their own determinants. To further enhance behavioral realism, the model incorporates latent psychological constructs using structural equation modeling. Empirical results from a California stated preference dataset highlight that safety concern and latent vehicle cost consciousness are the two dominant deterrents to AV acceptance, suggesting that policies such as trust-building campaigns and financial incentives can stimulate AV acceptance. Despite showing less safety concern, high-VMT individuals exhibit lower AV acceptance, suggesting potential habitual inertia in ceding driving control and challenging conjectures that users embrace in-vehicle saving and that AVs promote urban sprawl. Shared mobility enthusiasm and latent vehicle performance preference alleviate AV safety concern. Gender and racial gaps persist, with women expressing greater safety concerns and Asians exhibiting higher AV acceptance.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 1","pages":"Article 100252"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145420458","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}

引用次数: 0

Autonomous vehicle fleet operations with constrained entropy-based dynamic autonomous vehicle routing: Insights for environmentally conscious shared mobility 基于约束熵的动态自动驾驶车辆路线的自动驾驶车队操作：对环境意识的共享交通的见解

Multimodal Transportation Pub Date : 2026-03-01 Epub Date: 2025-04-23 DOI: 10.1016/j.multra.2025.100236

Paul (Young Joun) Ha , Monika Filipovska , Runjia Du , Samuel Labi , Sikai Chen

{"title":"Autonomous vehicle fleet operations with constrained entropy-based dynamic autonomous vehicle routing: Insights for environmentally conscious shared mobility","authors":"Paul (Young Joun) Ha , Monika Filipovska , Runjia Du , Samuel Labi , Sikai Chen","doi":"10.1016/j.multra.2025.100236","DOIUrl":"10.1016/j.multra.2025.100236","url":null,"abstract":"<div><div>With growing concerns over urban congestion and its associated economic, environmental, and societal costs, innovative solutions are urgently needed. Autonomous vehicles (AVs) offer a promising opportunity to improve urban transportation efficiency, safety, and sustainability. This study introduces a novel framework, DRL-CEDAR, which combines deep reinforcement learning (DRL) for optimizing AV acceleration and a dynamic routing algorithm, Constrained Entropy-based Dynamic AV Routing (CEDAR), to strategically guide AVs through urban traffic networks. The DRL module trains AVs to reduce emissions and fuel consumption while increasing vehicle speeds, while the CEDAR module enables AVs to interact with human-driven vehicles (HDVs) to mitigate network-wide congestion. Simulation results on a midtown Manhattan network demonstrate that even with a 10% AV adoption rate, DRL-CEDAR achieves reductions of 34% in CO emissions, 11% in CO<sub>2</sub> emissions, and 78% in vehicle waiting times compared to conventional routing methods. These findings underscore the potential of DRL-CEDAR to significantly improve urban traffic conditions and support sustainable mobility goals.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"5 1","pages":"Article 100236"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145420454","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}

引用次数: 0

Analysis of the impact of E-commerce activities on residents' commute trips 电子商务活动对居民通勤出行的影响分析

Multimodal Transportation Pub Date : 2026-03-01 Epub Date: 2025-04-24 DOI: 10.1016/j.multra.2025.100230

Gengze Li , Changjian Liu , Rufeng Liao , Zhouhao Wu , Huapu Lu

引用次数: 0