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Integrated Model of Joint Residence-Workplace Location Choice and Commute Behavior Using Latent Class and Mixed Logit Methods

机译:潜在类和混合Logit方法的联合居住区工作场所选址与通勤行为集成模型

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With the rapid development of urbanization and motorization, urban commute trips are becoming increasingly serious due to the unbalanced distribution of residence and workplace land-use types in most Chinese cities. To explore the inherent interrelations among residence location, workplace, and commute trip, an integrated model framework of joint residence-workplace location choice and commute behavior is put forward based on the personal trip survey data of Beijing in 2005. First, to extract households’ different choice characteristics, this paper presents a latent class model, clusters all households into several groups, and analyzes the conditional probability of each group. Second, the paper integrates the residence location and workplace together as the joint choice alternative, employs the socioeconomic factors, individual attributes, household attributes, and trip characteristics as explanatory variables, and formulates the joint residence-workplace location choice model using mixed logit method. Estimations of the latent class model show that four latent groups fit the data best. Further results of the joint residence-workplace location choice model indicate that there exist significantly different choice characteristics in each latent group. Generally, the integrated model framework outperforms traditional location choice methods.
机译:随着城市化和机动化的快速发展,由于大多数中国城市中居住和工作场所土地利用类型的不平衡分布,城市通勤旅行变得越来越严重。为了探索居住地,工作场所和通勤之间的内在联系,基于北京市2005年的个人出行调查数据,提出了一个联合的工作场所选址和通勤行为的综合模型框架。针对不同的选择特征,本文提出了一个潜在的分类模型,将所有住户分为几类,并分析每组的条件概率。其次,本文将居住地和工作场所结合在一起作为共同选择方案,以社会经济因素,个人属性,家庭属性和出行特征为解释变量,并采用混合对数法建立了联合居住地选择位置模型。潜在类模型的估计表明,四个潜在组最适合数据。联合居住场所工作场所选择模型的进一步结果表明,每个潜在群体中存在明显不同的选择特征。通常,集成模型框架的性能优于传统的位置选择方法。

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