Measuring Accessibility for Residential Location Choice: Beyond the Dichotomy of Local And Regional.

Accessibility;Urban Planning;Social Sciences;Urban & Regional Planning

Liu, XuanMarans, Robert W. ;

University of Michigan

关键词: Accessibility;    Urban Planning;    Social Sciences;    Urban & Regional Planning;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/93975/xliu_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Travel demand forecasting has been a key component of long range planning at Metropolitan Planning Organizations (MPOs) in the United States. Research advancements have led to incorporating transportation accessibility into household and business location choice analysis and forecasting. The dynamic feedback effects between transportation and land use have been studied using accessibility measures with mixed results.This dissertation examines multiple aspects of accessibility and their effects on residential location choice. First, while accessibility has been dichotomized into local and regional accessibility, this study suggests that a mid-range accessibility may have an independent and statistically significant effect on residential location choice. Second, accessibility metrics have traditionally been indifferent to the clustering of destinations. This dissertation tests the idea that, in addition to amount of activities, clustering of activities also contributes to accessibility. Models that explicitly incorporate clustering into measures of accessibility may show stronger explanatory power in predicting residential location choice than models that do not incorporate clustering into accessibility measures. Third, this study compares the effects of place-based accessibility measures and personal commute time on residential location choice. Finally, this dissertation develops alternative models for analyzing residential location choice in regard to accessibility for various socio-economic groups of population, particularly by race and ethnicity, as well as alternative models at three levels of geographic scale, which are metropolitan region, county, and city, for assessing the effects of scale on accessibility. Research hypotheses in this dissertation are tested using multinomial logit models estimated for Detroit metropolitan area based on data from 2004 to 2010. The results show that local, mid-range, and regional accessibility measures affect residential location choice significantly, while the effects of clustering need further study. Individual workers’ commute time has the biggest impact on residential location choice. This is found to be true at multiple geographic levels in Detroit region. The purpose of the study is to contribute to understanding the effects of accessibility in residential location choice, developing innovative tools for measuring accessibility that incorporate clustering and at multiple geographic scales, improving land use and transportation modeling practice, and eventually helping development of land use and transportation policies.