Modelling Stability in Travel Behaviour

出行行为稳定性建模

基本信息

项目摘要

Travel demand models are an indispensable tool for the assessment of transport facilities or policies in transport planning. The analysis period of common travel demand models is typically one day. Travel behavior research, however, has found that multi-day surveys are necessary to observe certain characteristics of travel. An observation period of one day is typically too short to observe variability and stability in travel behavior. In the case of mode choice, stability can be identified with a monomodal travel behavior, while variability can be identified with a multimodal travel behavior. For transport planning this insight is important since it can be assumed that a monomodal person (high stability in mode choice) reacts differently than a multimodal person (high variability in mode choice) to a change in travel supply. For example a person who always uses the car will probably be less affected by an improvement in public transport than a person who occasionally uses public transport. The project aims at improving the realism of travel demand models by incorporation stability in destination choice and mode choice behavior. For this purpose several approaches to model stability in destination choice and mode choice will be examined. The resulting models will be tested in a microscopic travel demand simulation. Based on indicators describing stability in travel behavior, the results of the different models will be compared with each other and with the data of the German Mobility Panel and a regional household travel survey. The comparison based on these indicators allows assessing the performance of the individual models in regard to reproducing stability in travel behavior. Suitable indicators to describe stability in travel behavior will be identified and developed within the scope of this project. The result of the project will be the insight how realism of travel demand models can be improved by incorporating stability in the destination choice and mode choice behavior. It can be expected that the improved reproduction of stability in travel behavior also improves the quality of the forecasts made by these models.
交通需求模型是评估运输设施或运输规划政策的不可或缺的工具。常见的出行需求模型分析周期一般为一天。然而,旅行行为研究发现,多日调查对于观察旅行的某些特征是必要的。一天的观察期通常太短,无法观察旅行行为的变化和稳定性。在模式选择的情况下,稳定性可以用单模式出行行为来识别,而可变性可以用多模式出行行为来识别。对于交通规划来说,这种洞察力是很重要的,因为可以假设,一个单模式的人(模式选择的高稳定性)与一个多模式的人(模式选择的高可变性)对旅行供应的变化有不同的反应。例如,一个经常使用汽车的人可能比偶尔使用公共交通的人受到公共交通改善的影响更小。该项目旨在通过在目的地选择和方式选择行为中纳入稳定性来改善旅行需求模型的现实性。为此目的,将研究在目的地选择和方式选择中模型稳定性的几种方法。由此产生的模型将在微观旅行需求模拟中进行测试。根据描述旅行行为稳定性的指标,将对不同模型的结果进行相互比较,并与德国流动性小组和区域家庭旅行调查的数据进行比较。基于这些指标的比较允许评估各个模型在再现行驶行为稳定性方面的性能。在本项目范围内,将确定和制定描述旅行行为稳定性的适当指标。该项目的结果将是洞察如何通过将稳定性纳入目的地选择和模式选择行为来提高旅行需求模型的真实性。可以预期,旅行行为稳定性的改进再现也提高了这些模型所做预测的质量。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Incorporating Stability of Mode Choice into an Agent-Based Travel Demand Model
将模式选择的稳定性纳入基于主体的出行需求模型
  • DOI:
    10.1007/978-3-319-60285-1_3
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mallig;Vortisch
  • 通讯作者:
    Vortisch
Measuring Stability of Mode Choice Behavior
测量模式选择行为的稳定性
Understanding social processes of shopping destination choice - An approach to model stability and variability
了解购物目的地选择的社会过程 - 模型稳定性和可变性的方法
  • DOI:
    10.1016/j.trip.2020.100183
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Vortisch
  • 通讯作者:
    Vortisch
Are Activity Patterns Stable or Variable? Analysis of Three-Year Panel Data
  • DOI:
    10.1177/0361198118773557
  • 发表时间:
    2018-12-01
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Hilgert, Tim;von Behren, Sascha;Vortisch, Peter
  • 通讯作者:
    Vortisch, Peter
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Professor Dr.-Ing. Peter Vortisch其他文献

Professor Dr.-Ing. Peter Vortisch的其他文献

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{{ truncateString('Professor Dr.-Ing. Peter Vortisch', 18)}}的其他基金

Impact of disruptions on passengers and operations – Modeling the reactions of operators and passengers on disruptions
中断对乘客和运营的影响 â 模拟运营商和乘客对中断的反应
  • 批准号:
    260578754
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Units
Messung der Wirkung moderner Tarife in elektronischen Fahrgeldmanagement-Systemen (EFM) auf das Mobilitätsverhalten der Menschen
衡量电子票价管理系统 (EFM) 中的现代票价对人们出行行为的影响
  • 批准号:
    200342120
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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