The City is flatter: Changing patterns of job and labor access

Abstract This study measures accessibility by automobile for the Minneapolis - Saint Paul (Twin Cities) region from 1995 to 2005. In contrast to most previous analyses of accessibility, this study uses travel time estimates derived, to the extent possible, from actual observations of network performance by time of day. A set of cumulative opportunity measures are computed with transport analysis zones (TAZs) as the unit of analysis for 1995 and 2005. Analysis of the changes in accessibility by location over the period of study reveals that, for the majority of locations in the region, accessibility increased over this period, though the increases were not uniform. A “flattening” or convergence of levels of accessibility across locations was observed over time, with faster-growing suburban locations gaining the most in terms of employment accessibility. An effort to decompose the causes of changes in accessibility into components related to transport network structure and land use (opportunity location) reveals that both causes make a contribution to increasing accessibility, though the effects of changes to the transportation network tend to be more location-specific. Overall, the results of the study demonstrate the feasibility and relevance of using accessibility as a key performance measure to describe the regional transport system.

[1]  D. Stead,et al.  Long-term impacts of transport infrastructure networks on land-use change: an international review of empirical studies , 2016 .

[2]  M. Wachs,et al.  PHYSICAL ACCESSIBILITY AS A SOCIAL INDICATOR , 1973 .

[3]  D. R. Ingram The concept of accessibility: A search for an operational form , 1971 .

[4]  Tuuli Toivonen,et al.  Modelling travel time in urban networks: comparable measures for private car and public transport , 2013 .

[5]  A. Helling,et al.  Changing intra-metropolitan accessibility in the U.S.: Evidence from Atlanta , 1998 .

[6]  Shanjiang Zhu,et al.  Do People Use the Shortest Path? An Empirical Test of Wardrop’s First Principle , 2015, PloS one.

[7]  J. M. Morris,et al.  Accessibility indicators for transport planning , 1979 .

[8]  E. Lambin,et al.  Predicting land-use change , 2001 .

[9]  R. Cervero Jobs-Housing Balancing and Regional Mobility , 1989 .

[10]  Access to Destinations, Phase 3: Measuring Accessibility by Automobile , 2010 .

[11]  Harry W. Richardson,et al.  What Happened to the CBD-Distance Gradient?: Land Values in a Policentric City , 1989 .

[12]  D. Levinson Accessibility and the Journey to Work , 1998 .

[13]  John F. McDonald,et al.  Suburban Subcenters and Employment Density in Metropolitan Chicago , 1998 .

[14]  S. Chainey,et al.  Mapping Crime: Understanding Hot Spots , 2014 .

[15]  D. Levinson,et al.  An empirical study of the deviation between actual and shortest travel time paths , 2014 .

[16]  R. S. Yuill The Standard Deviational Ellipse; An Updated Tool for Spatial Description , 1971 .

[17]  D. Welty Lefever,et al.  Measuring Geographic Concentration by Means of the Standard Deviational Ellipse , 1926, American Journal of Sociology.

[18]  David M Levinson,et al.  Access to Destinations: Development of Accessibility Measures , 2006 .

[19]  Ahmed M El-Geneidy,et al.  Measuring Nonmotorized Accessibility: Issues, Alternatives, and Execution , 2008 .

[20]  David M Levinson,et al.  Modeling the commute mode share of transit using continuous accessibility to jobs , 2015 .

[21]  D. Levinson,et al.  How Streetcars Shaped Suburbanization: A Granger Causality Analysis of Land Use and Transit in the Twin Cities , 2008 .

[22]  Debbie A. Niemeier,et al.  Measuring Accessibility: An Exploration of Issues and Alternatives , 1997 .

[23]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .

[24]  L. Mosley,et al.  The World Is Flat: A Brief History of the Twenty-First Century , 2005 .

[25]  Greg Lindsey,et al.  A Use-Based Measure of Accessibility to Linear Features to Predict Urban Trail Use , 2008 .

[26]  Michael A. Niedzielski,et al.  Travel Time and Distance as Relative Accessibility in the Journey to Work , 2014 .

[27]  William A. V. Clark,et al.  Commuting in Restructuring Urban Regions , 1994 .

[28]  R. Cervero JOBS-HOUSING BALANCE REVISITED: TRENDS AND IMPACTS IN THE SAN FRANCISCO BAY AREA. , 1996 .

[29]  David M Levinson,et al.  Modeling the Growth of Transportation Networks: A Comprehensive Review , 2007 .

[30]  D. Levinson,et al.  The Rational Locator: Why Travel Times Have Remained Stable , 1994 .

[31]  David M Levinson,et al.  Density and Dispersion: The Co-Development of Land Use and Rail in London , 2007 .

[32]  J. Bachtler,et al.  Reconsidering cohesion policy, the contested debate on territorial cohesion , 2009 .

[33]  Karst Teunis Geurs,et al.  The role of accessibility in urban and transport planning , 2016 .

[34]  Darren M. Scott,et al.  Examining the role of urban form in shaping people's accessibility to opportunities: an exploratory spatial data analysis , 2008 .

[35]  Jonathan Levine,et al.  Does Accessibility Require Density or Speed? , 2012 .

[36]  W. G. Hansen How Accessibility Shapes Land Use , 1959 .

[37]  David M Levinson,et al.  Predicting Land Use Change , 2009 .

[38]  Genevieve Giuliano,et al.  Network Accessibility and Employment Centres , 2012 .

[39]  M. Kwan,et al.  Individual Accessibility Revisited: Implications for Geographical Analysis in the Twenty-first Century , 2003 .

[40]  A. Páez,et al.  Measuring accessibility: positive and normative implementations of various accessibility indicators , 2012 .

[41]  Genevieve Giuliano,et al.  Employment Concentrations in Los Angeles, 1980–2000 , 2007 .

[42]  Selima Sultana Job/Housing Imbalance and Commuting Time in the Atlanta Metropolitan Area: Exploration of Causes of Longer Commuting Time , 2002 .

[43]  G. Giuliano,et al.  Is the Journey to Work Explained by Urban Structure? , 1993 .

[44]  P. Gordon,et al.  The influence of metropolitan spatial structure on commuting time , 1989 .