Infrastructure and Firm Dynamics: A Micro-Simulation Approach

This thesis on infrastructure and firm dynamics emphasizes the need for urban planners to make a balanced evaluation of alternative urban planning strategies. The thesis makes a contribution to the development of simulation models that can make more valid projections of the effect of spatial policy options on firm dynamics and business locating behavior. The Spatial Firm-demographic Micro-simulation (SFM) model presented is based on three assumptions: business-specific behavior should be implemented, allowing for heterogeneity in preferences and responses; accurate representation of spatial externalities by the inclusion of spatial attributes that are specified from urban economic theories; and geographic detail allowing the specification of detailed location attributes and the implementation of detailed zoning schemes. The author tested these assumptions with a case study for the province of South Holland in The Netherlands. A number of firm demographic events and transitions in the state of individual firms are simulated: firm migration, growth, formation, and dissolution. The model quantifies the effects of different spatial and transport planning scenarios on firm population and mobility. In addition, the firm-level simulation output provides improved possibilities to evaluate the impact of spatial scenarios. The thesis includes two appendices: a description of the input data; and synthetic data for industrial real estate.

  • Availability:
  • Corporate Authors:

    Netherlands TRAIL Research School

    P.O. Box 5017
    Delft,   Netherlands  2600 GA
  • Authors:
    • De Bok, Michiel
  • Publication Date: 2006


  • English

Media Info

  • Media Type: Print
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 208p

Subject/Index Terms

Filing Info

  • Accession Number: 01050223
  • Record Type: Publication
  • ISBN: 9055840866
  • Report/Paper Numbers: Trail Thesis Series T2006/8
  • Files: TRIS
  • Created Date: May 30 2007 10:19PM