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首页> 外文学位 >Modeling residential self-selection in activity-travel behavior models: Integrated models of multidimensional choice processes.
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Modeling residential self-selection in activity-travel behavior models: Integrated models of multidimensional choice processes.

机译：在活动-旅行行为模型中对住宅自我选择进行建模：多维选择过程的集成模型。

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摘要

The focus of transportation planning, until the past three decades or so, was to provide adequate transportation infrastructure supply to meet the mobility needs of the population. Over the past three decades, however, in view of increasing suburban sprawl and auto dependence, the focus of transportation planning has expanded to include the objective of sustainable development. Contemporary efforts toward sustainability include, for example, integrated land-use and transportation planning, travel demand management, congestion pricing, and transit and non-motorized travel oriented development. Consequently, in an effort to understand individuals' behavioral responses to (and to assess the effectiveness of) these policies, the travel demand modeling field evolved along three distinct directions: (a) Activity-based travel demand modeling, (b) Built environment and travel behavior modeling, and (c) Integrated land-use--transportation modeling. The three fields of research, however, have progressed in a rather disjoint fashion.;The overarching goal of this dissertation is to contribute toward the research needs that are at the intersection of the three fields of research identified above, and to bring the three research areas together into a unified research stream. This is achieved by the simultaneous consideration of the following three aspects, each of which is of high importance in each direction of research identified above: (1) The activity-based and tour-based approaches to travel behavior analysis, (2) Residential self-selection effects, and (3) Integrated modeling of long-term land-use related choices and medium- and short-term travel-related choices. To this end, a series of integrated models of multidimensional choice processes are formulated to jointly analyze long-term residential location decisions and medium- and short-term activity-travel decisions (such as auto ownership, bicycle ownership, commute mode choice, and daily time-use). The models are estimated and applied using data from the 2000 San Francisco Bay Area Travel Survey to understand and disentangle the multitude of relationships between long-, medium-, and short-term choices.;This dissertation also formulates a multiple discrete-continuous nested extreme value model that can accommodate inter-alternative correlations and flexible substitution patterns across mutually exclusive subsets (or nests) of alternatives in multiple discrete-continuous choice models.
机译：在过去的三十年左右的时间内，交通规划的重点一直是提供充足的交通基础设施，以满足人们的出行需求。然而，在过去的三十年中，由于郊区蔓延和对汽车的依赖性不断增加，交通规划的重点已扩大到包括可持续发展的目标。当代在可持续性方面的努力包括，例如，土地综合利用和运输规划，旅行需求管理，交通拥堵定价以及过境和非机动旅行导向的发展。因此，为了理解个人对这些政策的行为反应（并评估其有效性），旅行需求建模领域沿三个不同方向发展：（a）基于活动的旅行需求建模；（b）建筑环境；以及旅行行为建模，以及（c）土地利用-交通综合建模。但是，这三个研究领域的发展却是脱节的。本论文的总体目标是为满足上述三个研究领域的交叉点的研究需求做出贡献，并将这三个研究带入领域合并成一个统一的研究流。这是通过同时考虑以下三个方面来实现的，每个方面在上面确定的每个研究方向中都具有高度重要性：（1）基于行为和基于旅行的旅行行为分析方法，（2）居住自我选择效应，以及（3）长期土地使用相关选择与中，短期旅行相关选择的综合建模。为此，制定了一系列多维选择过程的集成模型，以共同分析长期居住区位决策以及中短期活动旅行决策（例如，汽车所有权，自行车所有权，通勤方式选择和日常活动）时间使用）。该模型是根据2000年旧金山湾区旅行调查的数据进行估计和应用的，以了解和弄清长期，中期和短期选择之间的多种关系。本论文还提出了多个离散连续的嵌套极值值模型，可以在多个离散连续选择模型中的替代项的互斥子集（或嵌套）之间容纳替代性相关性和灵活的替换模式。

著录项

  • 作者

    Pinjari, Abdul Rawoof.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Engineering Civil.;Transportation.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 254 p.
  • 总页数 254
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;综合运输;
  • 关键词

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