Journal of Transport Geography最新文献_第2页

Bringing realism: Enhancing high-dimensional data for active behavior analysis in older adults 带来现实：增强老年人积极行为分析的高维数据

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-14 DOI: 10.1016/j.jtrangeo.2025.104433

Cong Guo , Yaoqin Jiang , Yitong Yang , Zhilu Yuan , Renzhong Guo

{"title":"Bringing realism: Enhancing high-dimensional data for active behavior analysis in older adults","authors":"Cong Guo , Yaoqin Jiang , Yitong Yang , Zhilu Yuan , Renzhong Guo","doi":"10.1016/j.jtrangeo.2025.104433","DOIUrl":"10.1016/j.jtrangeo.2025.104433","url":null,"abstract":"<div><div>Understanding active travel behavior among older adults in suburban communities is often hindered by restricted data access and imbalanced sample distributions at the community level. These challenges limit the ability to train robust nonlinear models that capture the complex relationships between travel behavior and built environment characteristics. To address these issues, a data generation algorithm is proposed based on 7631 data points from a case study of the household travel survey in Xiamen, China, comparing the Variational Autoencoder (VAE) and Generative Adversarial Networks (GANs) to overcome data collection constraints and enhance predictive model performance and generalization accuracy. Applying a gradient boosting algorithm to the meticulously generated dataset improved data set accuracy by 20 % for the VAE model and 13 % for the GAN model, indicating that VAE surpasses other data augmentation methods and demonstrates superior performance. This effective synthetic framework helps researchers and practitioners in the field of active travel by enabling the creation and use of synthetic mobility data, which can be leveraged to address real-world challenges associated with decision-making in active travel behaviors.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104433"},"PeriodicalIF":6.3,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatiotemporal dynamics in traffic carbon emissions: Integrating GTWR and XGBoost for built environment analysis 交通碳排放的时空动态：基于GTWR和XGBoost的建筑环境分析

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-13 DOI: 10.1016/j.jtrangeo.2025.104431

Ding Zhang , Peiya Ren , Xiaoke Sun , Zhizhen Liu , Hong Chen

{"title":"Spatiotemporal dynamics in traffic carbon emissions: Integrating GTWR and XGBoost for built environment analysis","authors":"Ding Zhang , Peiya Ren , Xiaoke Sun , Zhizhen Liu , Hong Chen","doi":"10.1016/j.jtrangeo.2025.104431","DOIUrl":"10.1016/j.jtrangeo.2025.104431","url":null,"abstract":"<div><div>Understanding the relationship between the built environment and road traffic carbon emissions is crucial for developing effective carbon reduction strategies. This study improves the accuracy of urban traffic-related carbon emission estimation by incorporating startup emissions, using GPS trajectory data from taxis. Additionally, the study introduces the GTBoost model, combining geographically and temporally weighted regression with XGBoost, to explore the nonlinear relationships between traffic carbon emissions (TCE) and key built environment factors. The model achieves a coefficient of determination of 0.92, outperforming traditional methods. The study identifies transportation infrastructure, residential population, and employed population as the primary drivers of carbon emissions. After integrating spatiotemporal features, the relative importance of built environment variables shifts, with educational land, commercial land, and land-use mix showing the greatest sensitivity to these changes. Spatiotemporal factors significantly influence the nonlinear relationships between the built environment and emissions, particularly by reducing threshold effects. The study also reveals significant interaction effects between transportation infrastructure and land-use mix, commercial and medical facilities, and residential and employment densities, especially in high-density areas, where these interactions significantly affect emission patterns and even alter the effects of individual variables on emissions. Based on these findings, the study recommends optimizing mixed-use development to reduce commuting distances, implementing refined carbon reduction policies based on spatiotemporal characteristics, and improving public transportation accessibility. This research provides data-driven insights for sustainable urban planning and contributes to the development of low-carbon cities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104431"},"PeriodicalIF":6.3,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145311722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A probabilistic AI-based pedestrian volume estimation model for street-level urban management 基于概率人工智能的街道级城市管理人流量估计模型

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-11 DOI: 10.1016/j.jtrangeo.2025.104437

Chulwoong Park , Wonjun No , Youngchul Kim

{"title":"A probabilistic AI-based pedestrian volume estimation model for street-level urban management","authors":"Chulwoong Park , Wonjun No , Youngchul Kim","doi":"10.1016/j.jtrangeo.2025.104437","DOIUrl":"10.1016/j.jtrangeo.2025.104437","url":null,"abstract":"<div><div>As analyzing and controlling human movements is a key task in urban planning and management process, decision-makers have developed the computer-aided methodologies for pedestrian volume estimation. However, the existing pedestrian volume estimation studies have faced several constraints, such as the high cost of manual counting. This study aims to develop a street-level pedestrian volume estimation model by utilizing a computer-aided approach to evaluate data acquired through closed-circuit television (CCTV). We employ spatial characteristics and pedestrian volume data derived from sensed points to estimate pedestrian volumes on unsensed streets. The Bayesian Neural Network (BNN)-based model exhibited the best performance for the pedestrian volume estimation, with a mean hourly error of 21.305 individuals for 10-fold cross-validation and total 77.394 individuals for test estimation on four streets representing diverse pedestrian volume, surpassing the performance of regression and deep neural network (DNN)-based models. The BNN-based model also exhibits considerable performance in terms of estimating the hourly pedestrian volumes of entire streets within the study site (i.e., Bukchon Hanok Village in Seoul), and we examine the potential of the stochastic model to assess the uncertainty of a probabilistic artificial intelligence (AI) model. Additionally, a scenario-based test that assumes two specific road control situations presents a numeric and visual aid for predicting the aftermath of an urban management policy. The methodology proposed in this study can contribute to the exploitation of computer-aided techniques and trustworthy AI for supporting decision-making processes, thereby providing urban planners with more quantitative evidence.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104437"},"PeriodicalIF":6.3,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards a combined framework for public electric vehicle charger accessibility in London 伦敦公共电动汽车充电器可及性的组合框架

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-10 DOI: 10.1016/j.jtrangeo.2025.104438

Yuerong Zhang, Yanghui Cao

{"title":"Towards a combined framework for public electric vehicle charger accessibility in London","authors":"Yuerong Zhang, Yanghui Cao","doi":"10.1016/j.jtrangeo.2025.104438","DOIUrl":"10.1016/j.jtrangeo.2025.104438","url":null,"abstract":"<div><div>Over the past decade, the accessibility of electric vehicle (EV) infrastructure has been predominantly measured from a spatial proximity-based perspective, often overlooking the user's perspective. While calculated accessibility provides valuable insights, it does not necessarily translate into actual charging behaviour. Given the growing recognition that perceived accessibility plays a critical role in shaping user decisions, there is a clear need for tools that integrate both objective and subjective measures. To address this gap, this study proposes a combined accessibility framework that integrates calculated, perceived, and prospective accessibility to provide a holistic understanding of EV infrastructure accessibility. Using London as a case study, this research adopts a mixed-methods approach and introduces a typology of accessibility profiles. The study reveals two key findings. First, the relationship between calculated and subjective accessibility is nuanced and complex, with a spectrum of alignment identified across four clusters—ranging from moderate agreement to strong disagreement. Second, eight key features related to the built environment, demographics, and travel behaviour are identified as the primary drivers of these patterns. These findings reinforce the importance of incorporating multiple dimensions of accessibility into EV infrastructure planning. By acknowledging the gap between modelled accessibility and user experience, this approach offers a valuable tool for designing more user-centred and responsive EV charging networks.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104438"},"PeriodicalIF":6.3,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear relationship between built environment and commute mode choice: A comparison of commuters within and beyond the long commute threshold 建筑环境与通勤方式选择的非线性关系：长通勤阈值内外通勤者的比较

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-10 DOI: 10.1016/j.jtrangeo.2025.104430

Ming Yu , Zhaomin Tong , Jiaming Yang , Yanchi Lu , Yang Liu , Yanfang Liu , Yaolin Liu

{"title":"Nonlinear relationship between built environment and commute mode choice: A comparison of commuters within and beyond the long commute threshold","authors":"Ming Yu , Zhaomin Tong , Jiaming Yang , Yanchi Lu , Yang Liu , Yanfang Liu , Yaolin Liu","doi":"10.1016/j.jtrangeo.2025.104430","DOIUrl":"10.1016/j.jtrangeo.2025.104430","url":null,"abstract":"<div><div>This study uses machine learning to explore the nonlinear relationship between the built environment and the commute mode choice of commuters within (Commuter I) and beyond (Commuter II) a long commute threshold. Utilizing 739,457 location-based service data from Wuhan, a method that determines the long commute threshold through the marginal contribution of green commute time to car commuting is introduced. Commuters are then divided into Commuter I and Commuter II based on the long commute threshold. Subsequently, the light gradient boosting machine and accumulated local effect methods are employed to identify the nonlinear relationship between commute mode choice and the built environment for the two groups. Results show that in Wuhan, the long commute thresholds are 35 min for car commuters and 45 min for green commuters. For Commuter II, most built environment indicators reflect socioeconomic characteristics, suggesting that the built environment has a more limited moderating effect on their mode choice compared to Commuter I. For Commuter I, their probability of car commuting may be reduced by enhancing residential land-use diversity, increasing employment opportunities, and implementing a “narrow streets, dense network” infrastructure. Therefore, the proportion of commuters with green commutes under 35 min should be increased in the future to maximize the role of the built environment in regulating car commuting. These findings can provide a detailed reference for the green transformation and sustainable development of urban transportation.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104430"},"PeriodicalIF":6.3,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterizing destinations and modes of shopping trips replaced by e-shopping 描述被电子购物取代的购物目的地和购物方式

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-10 DOI: 10.1016/j.jtrangeo.2025.104435

Enlong Li , Yongchun Yang , Kunbo Shi , Frank Witlox

{"title":"Characterizing destinations and modes of shopping trips replaced by e-shopping","authors":"Enlong Li , Yongchun Yang , Kunbo Shi , Frank Witlox","doi":"10.1016/j.jtrangeo.2025.104435","DOIUrl":"10.1016/j.jtrangeo.2025.104435","url":null,"abstract":"<div><div>The growing popularity of e-shopping holds the potential to reduce shopping trips. It is very important for informing urban planning and optimizing transportation systems to identify the destinations and modes of shopping trips replaced by e-shopping. To the best of our knowledge, however, very little prior research examines this issue. This study attempts to characterize the destinations and modes of shopping trips substituted by e-shopping, based on stated preference survey data from Chengdu, China. The findings indicate that e-shopping significantly substitutes shopping trips, with variations depending on destination type and travel mode. Specifically, e-shopping shows a stronger substitution effect for trips to nearby shopping malls or by public transit. Notably, the destinations of replaced shopping trips vary by product type, with a significantly stronger substitution effect on trips to community stores (e.g., convenience stores or retail outlets near residential areas) for daily goods. Similarly, the travel modes of replaced shopping trips differ by destination, with a substantially stronger substitution effect on active mode trips to community stores. The study also highlights diverse factors influencing these substitution effects, offering valuable insights for urban transportation planning and policymaking.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104435"},"PeriodicalIF":6.3,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Perceived accessibility of public transport predicts intention to give up car ownership but objective accessibility does not 公共交通的感知可达性预测放弃私家车的意愿，但客观可达性不能预测放弃私家车的意愿

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-07 DOI: 10.1016/j.jtrangeo.2025.104418

Weilun Yuen , Leonard Lee , Waiyan Leong , Ziv Carmon , Charlene Chen , Kai Xuan Ng , Wen Wei Chong

{"title":"Perceived accessibility of public transport predicts intention to give up car ownership but objective accessibility does not","authors":"Weilun Yuen , Leonard Lee , Waiyan Leong , Ziv Carmon , Charlene Chen , Kai Xuan Ng , Wen Wei Chong","doi":"10.1016/j.jtrangeo.2025.104418","DOIUrl":"10.1016/j.jtrangeo.2025.104418","url":null,"abstract":"<div><div>Car ownership imposes substantial economic, spatial, and environmental burdens on society. Improving public transport accessibility is widely believed to alleviate these burdens by motivating car owners to switch to more sustainable modes of transportation. However, the impact of improved public transport accessibility on motivating existing car owners to give up car ownership remains underexplored. This study addresses this knowledge gap by examining how two approaches to measuring public transport accessibility—an objective, spatial network-based metric (Public Transport Accessibility Level, PTAL) and a subjective, perception-based measure (perceived accessibility)—influence the intention to give up car ownership. Two studies were conducted in Singapore, an appropriate setting to examine the research question due to its high car ownership costs, which incentivizes car owners to stay informed of public transport developments, and its well-developed public transport system, which ensures that objective accessibility is not constrained. In Study 1, which surveyed a sample of 801 car owners benchmarked against key demographic of the 2016 Household Interview Travel Survey, perceived accessibility predicted the intention to give up car ownership, while PTAL did not. Study 2, which recruited 164 employees of Singapore's Land Transport Authority, replicated the earlier findings and also suggested that lack of information on developments of the public transport system was not the reason for the discrepancy between PTAL and perceived accessibility. These findings underscore the importance of incorporating perceptual factors into transportation policy to foster meaningful reductions in car ownership, as network- based metrics alone may not fully capture the user experience.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104418"},"PeriodicalIF":6.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Going the extra mile: Estimating the willingness to travel to meet with friends using a joint destination choice model 多走一英里：用共同目的地选择模型估计去见朋友的意愿

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-07 DOI: 10.1016/j.jtrangeo.2025.104429

Benjamin Gramsch-Calvo , Koki Okamura , Kiyoshi Takami , Yuki Oyama , Makoto Chikaraishi , Kay W. Axhausen , Giancarlos Parady

{"title":"Going the extra mile: Estimating the willingness to travel to meet with friends using a joint destination choice model","authors":"Benjamin Gramsch-Calvo , Koki Okamura , Kiyoshi Takami , Yuki Oyama , Makoto Chikaraishi , Kay W. Axhausen , Giancarlos Parady","doi":"10.1016/j.jtrangeo.2025.104429","DOIUrl":"10.1016/j.jtrangeo.2025.104429","url":null,"abstract":"<div><div>Most leisure activities are carried out jointly with friends or family; therefore, the decision on where to travel is highly dependent on the spatio-temporal constraints of all members of the group. Using data from Tokyo, Japan, this study is the first to develop a joint destination choice model that explicitly integrates such constraints based on revealed preferences of all members. Such a model allows for the derivation of a new measure to quantify how much individuals are willing to travel to reduce other members’ travel time; in other words, the travel time a person is “willing to pay” to participate in the social activity. Our estimates suggest that, in the context of eating-out activities (the most frequent joint activity type in Tokyo), individuals are on average willing to travel one additional minute to reduce other members’ harmonic mean travel time by 0.43 min. However, this statistic is dependent on the differences between travel times of group members, such that the larger the difference between an individual and the rest of the group’s travel time, the less that individual is willing to sacrifice for the rest of the group. Results also show that the group-level model outperforms a model that considers individual-level decisions only, especially in terms of estimated travel distances, due to individual-level models being biased towards individual locations irrespective of other members.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104429"},"PeriodicalIF":6.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145266445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Does perceived proximity to urban facilities still matter to individuals' daily activities in the information age? 在信息时代，人们对城市设施的感知距离对个人的日常活动仍然重要吗？

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-06 DOI: 10.1016/j.jtrangeo.2025.104432

Kunbo Shi , Rui Shao , Yinhua Tao , Long Cheng , Tianren Yang

{"title":"Does perceived proximity to urban facilities still matter to individuals' daily activities in the information age?","authors":"Kunbo Shi , Rui Shao , Yinhua Tao , Long Cheng , Tianren Yang","doi":"10.1016/j.jtrangeo.2025.104432","DOIUrl":"10.1016/j.jtrangeo.2025.104432","url":null,"abstract":"<div><div>An easy access to urban facilities is often assumed as a precondition for frequent uses of these facilities nearby, thus promoting urban vitality and the sustainable mobility transition. However, with increasing popularity of online activities, people have been considerably reducing their dependence on urban facilities in daily life. In this sense, an important question emerges – is perceived proximity to urban facilities still relevant to people's daily activities in the information age? Using data from a nationwide survey with 7209 valid respondents in 81 Chinese cities, this study aims to answer this question. The results indicate that frequent online shopping and food ordering significantly moderates how perceived proximity to stores and restaurants promotes onsite visits, while frequent online entertainment does not. Therefore, the benefits of improving perceived proximity to urban facilities, shopping facilities and restaurants in particular, are diminishing, considering that the popularity of online activities is expected to continuously increase in the coming years.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104432"},"PeriodicalIF":6.3,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic optimal evacuation planning for multimodal urban traffic network 多式联运城市交通网络的动态最优疏散规划

IF 6.3 2区工程技术

Journal of Transport Geography Pub Date : 2025-10-06 DOI: 10.1016/j.jtrangeo.2025.104424

Xiayi Zhang, Huijun Sun, Yunchao Qu, Jianjun Wu

{"title":"Dynamic optimal evacuation planning for multimodal urban traffic network","authors":"Xiayi Zhang, Huijun Sun, Yunchao Qu, Jianjun Wu","doi":"10.1016/j.jtrangeo.2025.104424","DOIUrl":"10.1016/j.jtrangeo.2025.104424","url":null,"abstract":"<div><div>Emergency events at large cities will lead to evacuation demand suddenly increasing, which will cause serious road congestion and reduce the evacuation efficiency. It is necessary to fully utilize the comprehensive transportation network especially the large capacity urban rail transit system to evacuate the people from dangerous areas to the shelters as soon as possible. In this paper, three travel modes including the private car, the public road transit, and the rail transit are considered for a large-scale evacuation. Based on the dynamic system optimization criteria, we propose a multimodal dynamic network optimal evacuation model, which is a mixed integer linear programming model. This model includes the constraints of traffic flow propagation in road system and train operations in the metro system. In the optimal solution, an integrated optimal evacuation strategy includes the evacuation demand shared by each transportation mode, the flow propagation of each link on the road network, and the train timetable in the rail network. We design a Lagrangian Relaxation based heuristic algorithm to solve the model. We conduct numerical experiments with different parameters to validate the model and illustrate the computational efficiency of the algorithm. It is proven that the proposed model cannot only dynamically adjust the mode selection and routes of evacuees, but it also efficiently conducts and controls evacuation demand to enhance system resilience.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104424"},"PeriodicalIF":6.3,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0