Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario

The paper suggests a modeling approach for assessing economic and social impacts of changes in urban forms and commuting patterns that extends a multi-regional input–output framework by incorporating a set of commuting-related consequences. The Lisbon Metropolitan Area case with an urban re-centralization scenario is used as an example to illustrate the relevance of this modeling approach for analyzing commuting-related changes in regional income distribution on the one side and in household consumption structures on the other.

[1]  S. Malpezzi.  Housing Prices, Externalities, and Regulation in U.S. Metropolitan Areas , 1996 .

[2]  J. Kline,et al.  How Well has Land-Use Planning Worked Under Different Governance Regimes? A Case Study in the Portland, OR-Vancouver, WA Metropolitan Area, USA , 2014 .

[3]  Jan Oosterhaven,et al.  AN INTERREGIONAL LABOUR MARKET MODEL INCORPORATING VACANCY CHAINS AND SOCIAL SECURITY , 1985 .

[4]  Joan L. Walker,et al.  Latent lifestyle preferences and household location decisions , 2007, J. Geogr. Syst..

[5]  Geoffrey J. D. Hewings,et al.  Channels of synthesis forty years on: integrated analysis of spatial economic systems , 2004, J. Geogr. Syst..

[6]  Jan Oosterhaven,et al.  A family of square and rectangular interregional input-output tables and models , 1984 .

[7]  C. Jensen-butler,et al.  Spatial accounting methods and the construction of spatial social accounting matrices , 2005 .

[8]  Louis de Mesnard.  Understanding the shortcomings of commodity-based technology in input-output models: an economic-circuit approach , 2004 .

[9]  Michael Sonis,et al.  Economic Interdependence Within the Chicago Metropolitan Area: A Miyazawa Analysis , 2001 .

[10]  Geoffrey J. D. Hewings,et al.  Spatial Interdependence in a Metropolitan Setting , 2007 .

[11]  M. Magrini,et al.  Distance–Income Migration Trade-off of Young French Workers: An Analysis per Education Level , 2013 .

[12]  Ailsa Roell,et al.  Wasteful Commuting: Appendix , 1982 .

[13]  M. Kwan,et al.  Gender differences in commute time and accessibility in Sofia, Bulgaria: a study using 3D geovisualisation , 2015 .

[14]  Gavin Cameron,et al.  The Housing Market and Regional Commuting and Migration Choices , 1998 .

[15]  William J. Baumol.  Leontief's Great Leap Forward: Beyond Quesnay, Marx and von Bortkiewicz , 2000 .

[16]  Anupam Nanda,et al.  Shared Ownership and Affordable Housing: A Political Solution in Search of a Planning Justification? , 2015 .

[17]  M. Madden,et al.  Linked population and economic models: some methodological issues in forecasting, analysis, and policy optimization. , 1983, Journal of regional science.

[18]  P. Aroca,et al.  Economic Implications of Long Distance Commuting in the Chilean Mining Industry , 2011 .

[19]  D. McMillen.  The return of centralization to Chicago: using repeat sales to identify changes in house price distance gradients , 2003 .

[20]  M. Pilar Alonso,et al.  Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects , 2014, J. Geogr. Syst..

[21]  Jan Oosterhaven,et al.  Forecasting the impact of transport improvements on commuting and residential choice , 2006, J. Geogr. Syst..

[22]  Jean-Claude Thill,et al.  Trip making, induced travel demand, and accessibility , 2005, J. Geogr. Syst..

[23]  Qing Shen,et al.  Commuting Inequality between Cars and Public Transit: The Case of the San Francisco Bay Area, 1990-2000 , 2007 .

[24]  E. Barata,et al.  Economic, social, energy and environmental assessment of inter-municipality commuting: The case of Portugal , 2014 .