Assessing and mitigating carbon emission exposure in dynamic multimodal transport networks

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Yaxin Wu , Xiaowei Hu , Yujia Wang , Yu Jiang
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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.
评估和减少动态多式联运网络中的碳排放暴露
多式联运城市交通系统中异质性交通流的道路碳排放对公共健康构成重大风险。开发有效的工具来减少这些排放需要对其对环境的影响进行准确的建模和评估。为此,本研究建立了一个整合两个相互关联的整体框架:1)用于获得平衡流量分布的多模式动态交通分配模型;2)基于多类别车辆碳排放模型的高斯羽流模型,以评估暴露的时空分布。数值实验证明了该模型的收敛性,并对其在多种场景下的性能进行了评价。结果表明,将碳排放成本和暴露成本纳入动态交通分配可以同时降低碳排放和暴露风险,强调了在路径选择建模中共同考虑这两个因素的必要性,以实现可持续的城市交通和低碳健康城市的更广泛发展。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
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;
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