Heterogeneity in mode choice behavior: A spatial latent class approach based on accessibility measures

IF 1.6 4区 工程技术 Q4 TRANSPORTATION
Jaime P. Orrego-Oñate, K. Clifton, Ricardo Hurtubia
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引用次数: 0

Abstract

We propose a method to estimate mode choice models, where preference parameters are sensitive to the spatial context of the trip origin, challenging traditional assumptions of spatial homogeneity in the relationship between travel modes and the built environment. The framework, called Spatial Latent Classes (SLC), is based on the integrated choice and latent class approach, although instead of defining classes for the decision maker, it estimates the probability of a location belonging to a class, as a function of spatial attributes. For each Spatial Latent Class, a different mode choice model is specified, and the resulting behavioral model for each location is a weighted average of all class-specific models, which is estimated to maximize the likelihood of reproducing observed travel behavior. We test our models with data from Portland, Oregon, specifying spatial class membership models as a function of local and regional accessibility measures. Results show the SLC increases model fit when compared with traditional methods and, more importantly, allows segmenting urban space into meaningful zones, where predominant travel behavior patterns can be easily identified. We believe this is a very intuitive way to spatially analyze travel behavior trends, allowing policymakers to identify target areas of the city and the accessibility levels required to attain desired modal splits.
模式选择行为的异质性:基于可达性测度的空间潜在类方法
我们提出了一种估算模式选择模型的方法,其中偏好参数对出行起源的空间背景敏感,挑战了传统的出行方式与建筑环境之间空间同质性的假设。该框架被称为空间潜在类(SLC),是基于综合选择和潜在类方法,尽管它不是为决策者定义类,而是估计一个位置属于一个类的概率,作为空间属性的函数。对于每个空间潜在类别,指定了不同的模式选择模型,并且每个位置的结果行为模型是所有类别特定模型的加权平均值,估计该模型可以最大限度地再现观察到的旅行行为的可能性。我们用来自俄勒冈州波特兰市的数据来测试我们的模型,指定空间类成员模型作为本地和区域可达性度量的函数。结果表明,与传统方法相比,SLC增加了模型拟合,更重要的是,它允许将城市空间分割成有意义的区域,在这些区域中,主要的旅行行为模式可以很容易地识别出来。我们相信,这是一种非常直观的方式来空间分析出行行为趋势,允许决策者确定城市的目标区域和可达性水平,以实现理想的模式分割。
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来源期刊
CiteScore
3.40
自引率
5.30%
发文量
34
审稿时长
30 weeks
期刊介绍: The Journal of Transport and Land Usepublishes original interdisciplinary papers on the interaction of transport and land use. Domains include: engineering, planning, modeling, behavior, economics, geography, regional science, sociology, architecture and design, network science, and complex systems. Papers reporting innovative methodologies, original data, and new empirical findings are especially encouraged.
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