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首页> 外文会议>Annual meeting of the transportation research board;Transportation Research Board >Scenario-based Carbon Footprint Inventory Tool for Urban Sustainable Development Decision Support: The Cincinnati Case Study
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Scenario-based Carbon Footprint Inventory Tool for Urban Sustainable Development Decision Support: The Cincinnati Case Study

机译：基于情景的城市可持续发展决策支持的碳足迹清单工具：辛辛那提案例研究

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Rapidly growing travel demand and relevant transportation activities accompanied with land usechanges resulted in tremendous traffic congestion and generated significant negative impacts onthe environment, energy consumption and green house gas (GHG) emissions. However, thechallenge lies in quantifying and assessing the carbon footprint that contributed by aboveinteractive of land use changes, traffic operations and related emissions. This paper presents atransferable framework to fill in the gap through developing Geographical Information System(GIS)-based integrated analysis software, Synthetic Urban Scenario-based Traffic-related AirImpact aNalysis (Air-SUSTAIN) system, housed in the Scenario-Based Planning SupportSystem (SB-PSS) system. This Air-SUSTAIN system is established using an integrated approach,i.e., land use change model, travel demand forecasting model, vehicle emission model, areintegrated heuristically and mathematically with data flows via input/output (I/O) interfaces.Thru the case study in the Cincinnati metropolitan area, it has shown that it is a powerful tool toprovide decision makers with strong supporting scientific data and scenario results. The resultsfrom the case study also shows that by using incentive based planning policy- infill development,the region can achieve up to 13% carbon emission reductions comparing to the baseline. Thru thesustainability quantization analysis, the developed software tool Air-SUSTAIN is proven to bean effective tool in decision making for the improvement of quality of life for residents, waterresource and infrastructure adaptation, etc.
机译：快速增长的旅行需求和相关的运输活动以及土地使用 变化导致巨大的交通拥堵，并对交通产生重大负面影响 环境，能源消耗和温室气体（GHG）排放。但是，那 挑战在于量化和评估上述因素造成的碳足迹 互动的土地利用变化，交通运营和相关排放。本文提出了一个 可转让框架，以通过开发地理信息系统填补空白 （GIS）的综合分析软件，基于综合城市场景的交通相关空中交通 基于方案的计划支持中包含的影响分析（Air-SUSTAIN）系统 系统（SB-PSS）系统。该Air-SUSTAIN系统是使用集成方法建立的， 即土地使用变化模型，旅行需求预测模型，车辆排放模型 通过输入/输出（I / O）接口以启发式和数学方式与数据流集成。 通过辛辛那提大都会地区的案例研究，它显示出它是一种强大的工具，可用于 为决策者提供强有力的支持性科学数据和情景结果。结果 案例研究还显示，通过使用基于激励的规划策略，即填充开发， 与基准线相比，该地区可减少多达13％的碳排放量。通过 可持续性量化分析，事实证明，已开发的软件工具Air-SUSTAIN是 决策的有效工具，以改善居民，水的生活质量 资源和基础设施调整等

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