Urban form, travel time, and cost relationships with tour complexity and mode choice
Urban form, travel time, and cost relationships with tour complexity and mode choice
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DOI：
10.1007/s11116-007-9136-6
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发表时间：
2008-01-01
期刊：
影响因子：
4.3
通讯作者：
Lawton, T. Keith
中科院分区：
文献类型：
--
作者：
Frank, Lawrence;Bradley, Mark;Lawton, T. Keith
本研究的主要目的是调查如何旅行时间，成本和土地利用模式之间的相对关联，人们生活和工作的影响模式的选择和行程链模式在中央普吉特湾（西雅图）地区。通过使用基于旅游的建模框架和非常详细的土地利用和旅游数据，本研究试图增加详细的具体土地利用变化，以解决不同类型的旅行，并制定一个比较框架，旅行时间和城市形态变化的相对影响可以评估。离散选择建模框架根据人口因素进行了调整，并评估了旅行时间、成本和城市形态对这三种旅游类型的模式选择和行程链特征的相对影响。基于旅游的建模方法增加了理解城市形态、时间和成本的相对贡献的能力，以解释家庭和工作相关旅行的模式选择和旅游复杂性。居住和就业地点的城市形态、出行时间和成本是出行选择的重要预测因素。旅行时间是最强的预测模式的选择，而城市形式的最强的预测旅游内的站点数。结果表明，减少公路旅行时间与减少交通使用和步行有关。受访者工作的土地使用模式预测了中午和上班旅行的方式选择。
The primary purpose of this study was to investigate how relative associations between travel time, costs, and land use patterns where people live and work impact modal choice and trip chaining patterns in the Central Puget Sound (Seattle) region. By using a tour-based modeling framework and highly detailed land use and travel data, this study attempts to add detail on the specific land use changes necessary to address different types of travel, and to develop a comparative framework by which the relative impact of travel time and urban form changes can be assessed. A discrete choice modeling framework adjusted for demographic factors and assessed the relative effect of travel time, costs, and urban form on mode choice and trip chaining characteristics for the three tour types. The tour based modeling approach increased the ability to understand the relative contribution of urban form, time, and costs in explaining mode choice and tour complexity for home and work related travel. Urban form at residential and employment locations, and travel time and cost were significant predictors of travel choice. Travel time was the strongest predictor of mode choice while urban form the strongest predictor of the number of stops within a tour. Results show that reductions in highway travel time are associated with less transit use and walking. Land use patterns where respondents work predicted mode choice for mid day and journey to work travel.