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Understanding space-time patterns of vehicular emission flows in urban areas using geospatial technique

机译：利用地理空间技术了解城市地区车辆排放流量的时空模式

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摘要

Traffic-related emissions are well-known factors in urban environment which may have adverse implication on human health. Estimating vehicular emissions in urban areas provides an understanding of the air pollution caused by traffic. However, existing microscopic approaches cannot simulate the traffic flows and emissions for an entire city and most of the macroscopic approaches are usually highly complex and require priori knowledge about vehicles' route options. This study, therefore, proposes a straightforward and robust approach to simulate vehicular flows and estimated transport emissions at a city scale via a deterministic approach and by applying the Cell Transmission Model (CTM) to simplify the modeling of vehicles' route selections. Under a space-time integrated framework, we firstly simulate a time-dependent distribution of urban vehicular flows and then estimate pollutant emissions of Carbon Monoxide (CO), Nitrogen Oxide (NOx) and Violate Organic Compounds (VOC) for traffic flows on weekday and weekend. Finally, the spatiotemporal patterns of traffic flows as well as traffic emissions were visualized and illustrated under a space-time integrated framework. With accuracies of around 67.4% to 70%, the results demonstrated the feasibility of the proposed approach for estimating city-scale traffic flows and emissions from road transport.
机译：与交通相关的排放是城市环境中有众所周知的因素，这可能对人类健康产生不利影响。估算城市地区的车辆排放提供了对交通造成的空气污染的理解。然而，现有的显微方法无法模拟整个城市的交通流量和排放，大多数宏观方法通常都是高度复杂的并且需要先验的关于车辆路线选项的知识。因此，本研究提出了一种简单和稳健的方法来通过确定性方法模拟城市规模的车辆流量和估计的运输排放，并通过应用单元格传输模型（CTM）来简化车辆路径选择的建模。在时空综合框架下，我们首先模拟了城市车辆流动的时间依赖性分布，然后估算了一氧化碳（CO），氮氧化物（NOx）的污染物排放，并在工作日和平日中侵犯了交通流量的有机化合物（VOC）。周末。最后，在空时综合框架下，可视化交通流量的时空模式以及交通排放。准确度约为67.4％至70％，结果表明了拟议方法估算城市规模交通流量和从公路运输排放的方法的可行性。

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  • 来源
    《Computers，environment and urban systems》 |2020年第1期|101399.1-101399.12|共12页
  • 作者

    Kan Zihan; Wong Man Sing; Zhu Rui;

  • 作者单位

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Kowloon 181 Chatham Rd South Hong Kong Peoples R China|Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R 129 Luoyu Rd Wuhan 430079 Hubei Peoples R China;

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Kowloon 181 Chatham Rd South Hong Kong Peoples R China|Hong Kong Polytech Univ Res Inst Sustainable Urban Dev Hong Kong Peoples R China;

    Singapore MIT Alliance Res & Technol Senseable City Lab Singapore Singapore;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicular flows; Emissions; Air pollution; Emission models; City scale;

    机译：车辆流动;排放;空气污染;排放模型;城市规模;

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