CAREER: Towards Behaviorally-Consistent Integrated Transport-Land Use Models, in Support of Infrastructure System Decisions

职业:建立行为一致的综合交通-土地利用模型,支持基础设施系统决策

基本信息

  • 批准号:
    9984541
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-09-01 至 2007-12-31
  • 项目状态:
    已结题

项目摘要

9984541Kara M. KockelmanThe University of Texas at AustinAbstractThis research seeks improved methods for assessing the evolution of urban transport and land use systems; such methods are a critical component of transport-infrastructure planning and urban systems engineering. By emphasizing long-term development decisions that are the foundation for travel demand, this project will attempt to identify optimal investments in transport infrastructure and effective, coordinated transport and land use strategies to meet the needs of a region. This objective will be pursued by advancing the principles of integrated transport system analysis in two ways: (1) development of a systems-explicit model of travel demand and location choice founded on behaviorally rigorous, simultaneously estimated equations; and (2) communication of the tools used and results achieved to students, practitioners, and colleagues across the United States and around the world. The proposed approach combines surplus maximization theory with behaviorally flexible sub-models, and relies on regression models and system simulation. Through improvements in the characterization of processes which underlie the dynamics of transport and related urban markets, the model is intended to reliably predict optimal sites and sizes of transport infrastructure; assess the energy-consumption, noxious-emissions, and location-choice impacts of different traffic-management policies; and draw general conclusions about the long-run development and travel-demand effects of various transport design strategies. Identification of advantageous network investments and effective, coordinated transport and land use strategies to meet the needs of regions are the work's ultimate objective.
9984541卡拉M. Kockelman得克萨斯大学奥斯汀分校摘要这项研究寻求改进的方法来评估城市交通和土地利用系统的演变,这种方法是交通基础设施规划和城市系统工程的重要组成部分。通过强调作为旅行需求基础的长期发展决定,本项目将试图确定对运输基础设施的最佳投资以及有效、协调的运输和土地使用战略,以满足区域的需求。 这一目标将通过两种方式推进综合交通系统分析的原则来实现:(1)开发基于行为严格,同时估计方程的出行需求和位置选择的系统明确模型;(2)向美国和世界各地的学生,从业者和同事传达所使用的工具和取得的成果。该方法将盈余最大化理论与行为灵活的子模型相结合,并依赖于回归模型和系统仿真。 该模型通过对构成交通运输和相关城市市场动态基础的过程的特征描述进行改进,旨在可靠地预测交通运输基础设施的最佳选址和规模;评估不同交通管理政策对能源消耗、有害排放和选址的影响;并就各种交通运输设计战略的长期发展和出行需求影响得出一般性结论。这项工作的最终目标是确定有利的网络投资和有效、协调的运输和土地使用战略,以满足各区域的需要。

项目成果

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Kara Kockelman其他文献

A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application
具有动态网络加载和动态乘车共享应用程序的共享自动驾驶车辆建模通用框架
  • DOI:
    10.1016/j.compenvurbsys.2017.04.006
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael W. Levin;Kara Kockelman;S. Boyles;Tianxin Li
  • 通讯作者:
    Tianxin Li
Mcgraw-hill's Handbook of Transportation Engineering Chapter 22. Traffic Congestion Introduction
麦格劳希尔交通工程手册第 22 章交通拥堵简介
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kara Kockelman;Mcp C B Luce Assistant
  • 通讯作者:
    Mcp C B Luce Assistant
Executive Director
执行董事
An analysis of pedestrian crash trends and contributing factors in Texas
  • DOI:
    10.1016/j.jth.2021.101090
  • 发表时间:
    2021-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Maxwell Bernhardt;Kara Kockelman
  • 通讯作者:
    Kara Kockelman

Kara Kockelman的其他文献

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{{ truncateString('Kara Kockelman', 18)}}的其他基金

Collaborative Research: Models for Dynamic Discrete Response Data with Spatial Autocorrelation: Specification and Estimation
协作研究:具有空间自相关的动态离散响应数据模型:规范和估计
  • 批准号:
    0818066
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant

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