Multi-Regional Agent-Based Modeling of Household and Firm Location Choices with Endogenous Transport Costs
The paper describes a spatial economic agent-based model (ABM), consistent with the principles of new economic geography (NEG), which allows the discrete-time evolutionary simulation of complex interactions of household and firm location choices. In contrast with the current ABM approaches, it considers a multi-regional (multi-urban) setting to enable a more realistic representation of decisions related to commuting, migration and household and employment location. The model allows simulating spatially differentiated, multi-commodity markets for land and labor in a system of cities and the behavior of profit-maximizing firms with multi-regional asset investment decisions, incorporating endogenous intra- and inter-urban transport costs with congestion effects. It also accounts for the impact of industrial and urban agglomeration forces on location choices and the formation of urban development patterns. Other features include the representation of the actions of central and local government agents to address issues of territorial development, efficiency and equity. The simulation set-up and evolutionary analysis of the spatial ABM are presented and several implications are discussed with regard to the possible outcomes of a set of policy interventions.
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- Oswald T J Devisch & Harry J P Timmermans & Theo A Arentze & Aloys W J Borgers, 2009. "An agent-based model of residential choice dynamics in nonstationary housing markets," Environment and Planning A, Pion Ltd, London, vol. 41(8), pages 1997-2013, August.
- Markose, Sheri M & Alentorn, Amadeo & Koesrindartoto, Deddy & Allen, Peter & Blythe, Phil & Grosso, Sergio, 2007.
"A smart market for passenger road transport (SMPRT) congestion: an application of computational mechanism design,"
Economics Discussion Papers
3720, University of Essex, Department of Economics.
- Markose, Sheri & Alentorn, Amadeo & Koesrindartoto, Deddy & Allen, Peter & Blythe, Phil & Grosso, Sergio, 2007. "A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2001-2032, June.
- Wei Fan & Frederick Treyz & George Treyz, 2000. "An Evolutionary New Economic Geography Model," Journal of Regional Science, Wiley Blackwell, vol. 40(4), pages 671-695.
- Tabuchi, Takatoshi & Thisse, Jacques-François & Zeng, Dao-Zhi, 2002. "On the Number and Size of Cities," CEPR Discussion Papers 3386, C.E.P.R. Discussion Papers.
- Bruno de Borger & Stef Proost, 2004.
"Vertical and horizontal tax competition in the transport sector,"
Reflets et perspectives de la vie économique,
De Boeck Université, vol. 0(4), pages 45-64.
- DE BORGER, Bruno & PROOST, Stef, "undated". "Vertical and horizontal tax competition in the transport sector," Working Papers 2004022, University of Antwerp, Faculty of Applied Economics.
- De Borger Bruno & Stef Proost, 2004. "Vertical and horizontal tax competition in the transport sector," Energy, Transport and Environment Working Papers Series ete0412, KU Leuven, Department of Economics - Research Group Energy, Transport and Environment.
- Liedtke, Gernot, 2009. "Principles of micro-behavior commodity transport modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 795-809, September.
- repec:esx:essedp:630 is not listed on IDEAS
- Mun, Se-il, 1997. "Transport Network and System of Cities," Journal of Urban Economics, Elsevier, vol. 42(2), pages 205-221, September.
- Luis E Fernandez & Daniel G Brown & Robert W Marans & Joan I Nassauer, 2005. "Characterizing location preferences in an exurban population: implications for agent-based modeling," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 32(6), pages 799-820, November.
- Eric J Heikkila & Yiming Wang, 2009. "Fujita and Ogawa revisited: an agent-based modeling approach," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 36(4), pages 741-756, July.
- Abdel-Rahman, Hesham M. & Anas, Alex, 2004.
"Theories of systems of cities,"
Handbook of Regional and Urban Economics,
in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 52, pages 2293-2339
- Roorda, Matthew J. & Cavalcante, Rinaldo & McCabe, Stephanie & Kwan, Helen, 2010. "A conceptual framework for agent-based modelling of logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 18-31, January.
- Anas, Alex & Xu, Rong, 1999. "Congestion, Land Use, and Job Dispersion: A General Equilibrium Model," Journal of Urban Economics, Elsevier, vol. 45(3), pages 451-473, May.
- Takama, Takeshi & Preston, John, 2008. "Forecasting the effects of road user charge by stochastic agent-based modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 738-749, May.
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