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The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications PDF

250 Pages·2012·7.42 MB·English
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UC Berkeley Dissertations Title The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility Permalink https://escholarship.org/uc/item/7014d9cg Author Mondschein, Andrew Samuel Publication Date 2013-08-01 Peer reviewed eScholarship.org Powered by the California Digital Library University of California University of California Transportation Center UCTC Dissertation UCTC-DISS-2013-02 The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility Andrew Samuel Mondschein University of California, Los Angeles 2013 UNIVERSITY OF CALIFORNIA Los Angeles The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Urban Planning by Andrew Samuel Mondschein 2012 © Copyright by Andrew Samuel Mondschein 2012 ABSTRACT OF THE DISSERTATION The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility by Andrew Samuel Mondschein Doctor of Philosophy in Urban Planning University of California, Los Angeles, 2012 Professor Brian D. Taylor, Chair Transportation planning research addresses accessibility from diverse approaches, focusing varyingly on the usability of the transportation system as a whole, a particular mode, the pattern of land uses, or the wherewithal of individuals and communities to make use of those systems. One aspect of accessibility that has received relatively little attention from planners is its cognitive, experiential aspect. Individuals’ activity and travel choices require not just money and time but also information about opportunities in the city. This component of an individual’s accessibility is highly personal but also dependent on the terrain of land uses and transportation options shaped by planners and policymakers. I seek to extend current accessibility research, addressing shortcomings in how the literature deals with individual experience of the city and knowledge. Through a series of empirical analyses of activity patterns and cognitive maps of the ii Los Angeles region, I explore the factors that shape individual accessibility. The first analysis investigates the spatial nature of personal cities, using the activity spaces of respondents to explore the types of opportunities that different populations within a city can access. The second demonstrates the differences – depending on mode of travel – among individuals’ perceptions of the city, even when location is held constant. The third analysis continues an exploration of the personal city by considering its fundamental components. Overall, the analyses support the relevance of the personal city framework to accessibility research, highlighting in particular that planning interventions are filtered through experiential and cognitive processes. The findings highlight that the accessibility impacts of transportation and land use patterns are felt not just in the instantaneous calculations of a microeconomic choice framework, but also in the long-term, developmental processes of cognition and experience. For urban planners, the implications of this research include evidence of how the built environment can effectively reduce travel while maintaining accessibility and how different transportation modes afford varying levels of functional accessibility. Overall, I find that experience, information, and learning are elements of urban daily life traditionally neglected by planners but with potential to increase opportunity and accessibility for diverse urban populations. iii The dissertation of Andrew Mondschein is approved. Evelyn Blumenberg Rick Paik-Schoenberg Brian D. Taylor, Committee Chair University of California, Los Angeles 2012 iv To Krista v TABLE OF CONTENTS 1 Introduction ..........................................................................................................................1 2 Literature Review...............................................................................................................16 3 Conceptual Framework: The Personal City .......................................................................42 4 Data and Methods ..............................................................................................................55 5 Activity Spaces and Access to Opportunities ....................................................................79 6 Active and Passive Travel: The Foundation of Spatial Knowledge ................................132 7 Building a Better Cognitive Map: Travel Experience and Reliance on Landmarks .......158 8 Conclusion .......................................................................................................................191 Appendix A: South Los Angeles Cognitive Survey Instrument .................................................202 Appendix B: UCLA Cognitive Survey Instrument .....................................................................210 Appendix C: Model Variable Correlation Table ........................................................................218 Bibliography ................................................................................................................................219 vi LIST OF FIGURES Figure 2.1: Transportation-Land Use Relationship ......................................................................18 Figure 2.2: Hägerstrand’s Time-Space Fishbowl .........................................................................23 Figure 2.3: Downtown Los Angeles as Represented in Image of the City (Lynch 1960) ............31 Figure 4.1: SCAG Respondent Density (Residential Locations) ..................................................59 Figure 4.2: Activity Density/Residential Density Ratio ...............................................................60 Figure 4.3: Cognitive Mapping Survey Sites and Regional Context ............................................62 Figure 4.4: South Los Angeles Survey Site and Environs ............................................................64 Figure 4.5: UCLA Campus and Survey Site .................................................................................65 Figure 4.6: UCLA Survey Site and Environs ...............................................................................66 Figure 4.7: Moran’s I Formulae ....................................................................................................71 Figure 5.1: Activity Space and Travel Measures ..........................................................................84 Figure 5.2: Standard Deviational Ellipse (SDE) Area by Personal Characteristics .....................89 Figure 5.3: Activity Rectangle (AR) Area by Personal Characteristics .......................................90 Figure 5.4: Distance Traveled (DT) by Personal Characteristics .................................................91 Figure 5.5: Number of Trips (NT) by Personal Characteristics ....................................................92 Figure 5.6: Weekday Activities by Type and Activity Space Area ..............................................97 Figure 5.7: Weekend Activities by Type and Activity Space Area ..............................................98 Figure 5.8: Transit Share across the Region (2000 Census Data) ..............................................114 Figure 5.9: Model 5 (SDE area) Homoscedasticity Plot .............................................................115 Figure 5.10: Model 5 (SDE area) Normality of Residuals Plot ..................................................116 Figure 5.11: Spatial Distribution of Activity Space Sizes (IDW Method) .................................119 Figure 5.12: Spatial Distribution of Income Coefficient in GWR Model (Inverse Distance Weighting Method) ...........................................................................................125 Figure 5.13: Spatial Distribution of Population Density Coefficient in GWR Model (Inverse Distance Weighting Method) .............................................................................127 Figure 5.14: GWR Model Homoscedasticity Plot ......................................................................129 Figure 5.15: GWR Model Normality of Residuals Plot .............................................................130 Figure 6.1: Model 4 Homoscedasticity Plot ...............................................................................146 Figure 6.2: Model 4 Normality of Residuals Plot .......................................................................147 Figure 7.1: South Los Angeles “Home to Survey Site” Maps ....................................................161 Figure 7.2: South Los Angeles “Survey Site to LA City Hall” Maps ........................................162 Figure 7.3: UCLA “Home to Survey Site” Maps .......................................................................163 Figure 7.4: UCLA “Survey Site to Santa Monica Pier” Maps ...................................................164 Figure 7.5: Map Elements by Cognitive Travel Style ................................................................171 Figure 7.6: Ratio of Landmark to Route Segment Elements ......................................................173 Figure 7.7: Ratio of Landmark to Choice Point Elements ..........................................................174 Figure 7.8: Elements Used to Describe Home and Work Locations, % of Respondents by Cognitive Travel Group ...................................................................................................178 Figure 7.9: Residential Locations for South Los Angeles Survey Respondents ........................186 Figure 7.10: Krige of Years Spent in the Neighborhood ............................................................188 vii

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