{"title":"Assessing and mitigating carbon emission exposure in dynamic multimodal transport networks","authors":"Yaxin Wu , Xiaowei Hu , Yujia Wang , Yu Jiang","doi":"10.1016/j.scs.2025.106852","DOIUrl":null,"url":null,"abstract":"<div><div>On-road carbon emissions from heterogeneous traffic flows in multimodal urban transportation systems pose a significant risk to public health. Developing effective instruments to mitigate these emissions requires accurate modelling and assessment of their impact on the environment. To this end, this study establishes a holistic framework that integrates two interrelated components: 1) a multimodal dynamic traffic assignment model for obtaining equilibrated flow distributions, and 2) a Gaussian plume model, underpinned by a multi-category vehicle carbon emission model, to assess the spatiotemporal distribution of exposure. Numerical experiments demonstrate the model convergence and evaluate its performance under multiple scenarios. Results show that incorporating the proposed carbon emission cost and exposure cost into dynamic traffic assignment can simultaneously reduce carbon emissions and exposure risks, underscoring the necessity of jointly considering both factors in path choice modeling to achieve sustainable urban mobility and the broader development of low-carbon, healthy cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106852"},"PeriodicalIF":12.0000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725007255","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
On-road carbon emissions from heterogeneous traffic flows in multimodal urban transportation systems pose a significant risk to public health. Developing effective instruments to mitigate these emissions requires accurate modelling and assessment of their impact on the environment. To this end, this study establishes a holistic framework that integrates two interrelated components: 1) a multimodal dynamic traffic assignment model for obtaining equilibrated flow distributions, and 2) a Gaussian plume model, underpinned by a multi-category vehicle carbon emission model, to assess the spatiotemporal distribution of exposure. Numerical experiments demonstrate the model convergence and evaluate its performance under multiple scenarios. Results show that incorporating the proposed carbon emission cost and exposure cost into dynamic traffic assignment can simultaneously reduce carbon emissions and exposure risks, underscoring the necessity of jointly considering both factors in path choice modeling to achieve sustainable urban mobility and the broader development of low-carbon, healthy cities.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;