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首页> 外文期刊>Urban Rail Transit >Integrating Land Use and Socioeconomic Factors into Scenario-Based Travel Demand and Carbon Emission Impact Study
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Integrating Land Use and Socioeconomic Factors into Scenario-Based Travel Demand and Carbon Emission Impact Study

机译：将土地利用和社会经济因素纳入基于情景的出行需求和碳排放影响研究中

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Abstract Integration of land use and transportation planning with current and future spatial distributions of population and employment is a challenge but critical to sustainable planning outcomes. The challenge is specific to how sustainability factors (e.g., carbon dioxide emission), and land use and socioeconomic changes are considered in a streamlined manner. To address the challenge, this paper presents an integrated modeling and computing framework for systemic analysis of regional- and project-level transportation environmental impacts for land use mix patterns and associated transportation activities. A synthetic computing platform has been developed to facilitate the scenario-based quantitative analysis of cause-and-effect mechanisms between land use changes and/or traffic management and control strategies, their impacts on traffic mobility and the environment. Within the integrated platform, multiple models for land use pattern, travel demand forecasting, traffic simulation, vehicle and carbon emission, and other operation and sustainability measures are integrated using mathematical models in a Geographical Information System environment. Furthermore, a case study of the Greater Cincinnati area at regional level is performed to test the integrated functionality as a capable tool for urban planning, transportation and environmental analysis. The case study results indicate that such an integration investigation can help assess strategies in land use planning and transportation systems management for improved sustainability.
机译：摘要将土地利用和运输规划与当前和未来的人口和就业空间分布相结合是一个挑战，但对可持续规划的结果至关重要。挑战具体在于如何以简化方式考虑可持续性因素（例如二氧化碳排放量）以及土地使用和社会经济变化。为了应对这一挑战，本文提出了一个集成的建模和计算框架，用于系统分析区域和项目级别的运输环境对土地使用混合模式和相关运输活动的影响。已开发出一个综合计算平台，以促进基于场景的土地利用变化和/或交通管理与控制策略之间的因果机制定量分析，以及它们对交通流动性和环境的影响。在集成平台内，在地理信息系统环境中使用数学模型集成了多种土地使用模式，旅行需求预测，交通模拟，车辆和碳排放以及其他运营和可持续性度量模型。此外，还对地区的辛辛那提大区进行了案例研究，以测试作为城市规划，交通和环境分析的有效工具的综合功能。案例研究结果表明，这种整合调查可以帮助评估土地使用规划和运输系统管理中的策略，以提高可持续性。

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