FIRM DYNAMIC ANALYSIS FOR URBAN LAND USE AND ECONOMIC GROWTH MODELLING

Authors

  • Noordini Che Man UNIVERSITI TEKNOLOGI MALAYSIA
  • Soheil Sabri Centre for Innovative Planning and Development (CiPD) UNIVERSITI TEKNOLOGI MALAYSIA
  • Nafisa Hosni Centre for Innovative Planning and Development (CiPD) Faculty of Built Environment UNIVERSITI TEKNOLOGI MALAYSIA
  • Harry Timmerman EINDHOVEN UNIVERSITY OF TECHNOLOGY, THE NETHERLANDS

DOI:

https://doi.org/10.21837/pm.v11i2.116

Keywords:

Regional Economic Growth, Geographical Information System, Urban Sprawl, Firm Demography.

Abstract

In urban growth processes, urbanisation is highly influenced by economic growth which triggers the dynamics of economic agents and land uses. This is consisted of complex subsystems which need sophisticated methods like agent-based modelling and simulation to understand the pattern, behaviour and scale of multiple actors. The objective of this paper is to identify the behaviour, pattern and the scale of impact of firms on market in the region in order to foster an accurate agent-based modelling. The Geographic Information System is utilized to geocode the entrance and exit of firms to the market in Greater Kuala Lumpur region. This study has also carried out a temporal analysis considering 18 years performances
of the firms from 1990 to 2007. The findings in this paper show sector 9 (i.e. Financing) has highest percentage of establishment with 35.1 %. In addition, Sector 3 (i.e. Mining) and Sector 5 (i.e. Electricity) have the lowest percentage of establishment with 0.3 %. The result of this study will be a foundation to facilitate developing an agent-based modelling and simulation which helps town planners and decision makers to understand the relationship and interaction between economic growth and dynamic land use patterns in their region.

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References

Audretsch, D. B., Houweling, P., & Thurik, A. R. (1997). New Firm Survival: Industry versus Firm Effects. 97-06313. Tinbergen Institute. Tinbergen Institute Discussion Papers. Ref Type: Serial (Book,Monograph)

Batty, M. and Y. Xie. (1994). From Cells to Cities. Environment and Planning B: Planning and Design, 21, 3 1-48.

Benenson, L & Torrens, P. M. (2004). Geosimulation: Automata-based Modelling of Urban Phenomena. Tel Aviv Uni versity, Israel and University of Utah, USA ..

Benenson, I. (1998). Multi-agent Simulations of Residentia l dynamics in the City. Computers, Environment and Urban Systems, 22, 25-42.

Birch, D. L. ( 1979). The Job Generation Process. MIT Program on Neighborhood and Regional Change, Cambridge, MA.

Brown, D. G., Riolo, R., Robinson, D. T., North, M., & Rand, W. (2005). Spatial Process and Data Models: Toward Integration of Agent-based Models and GJS. Journal of Geographical Systems, 7, 25-47.

Bruton, M. J. (2007). Malaysia : The Planning of a Nation. PERSAD A Malaysia.

Carroll, G. & Hannan, T. M. (2000). The Demography of Organizations and Industries. Princeton: Princeton U. Press.

Caves, R. E. (1998). Industrial Organization and New Findings on the Turnover and Mobility ofFirms. Journal of Economic Literature, 36, 1947-1982.

Cheng, J. (2003). Modeling Spatial & Temporal Urban Growth. International Institute for Geo-information Science and Earth Observation, Enschede Netherlands.

Davis, B. E. (200 I). GIS : A Visual Approach. Canada: Onword Press.

Department of Statistics Malaysia. (2008). Vital Statistics Malaysia 2008

Department of Statistics Malaysia.

Department of Statistics Malaysia. (2009). Malaysia Economic Indicators: Leading, Coincident and Lagging Indices Year 2009. Department of Statistics Malaysia.

Geroski, P. A. ( 1995). What do we know about entry? International Journal of Industrial Organization, 13, 42 1-440.

Goncalves, A. S., Rodrigues, A. and Correia, L. (2004). Multi-Agent Simulation within Geographic Information Systems. fn 5th Workshop on Agent-Based Simulation, ABS04.

Iacono, M., Levinson, D., and El-Geneidy, A. (2008). Models of Transportation and Land Use Change: A Guide to the Territory. Journal of Planning Literature, 1- 18.

Karadimas, N. V., Rigopoulos, G. and Bardis, N. (2006). Coupling Multiagent Simulation and GIS - An Application in Waste Management. WSEAS Transactions on Systems, 5, 2367-2371.

Kerridge, J., Hine, J. and Wigan, M. (2001). Agent-based Modelling of Pedestrian Movements: the Questions that Need to be Asked and Answered. Environment and Planning B: Planning and Design, 28, 327-341.

Li, X. and Liu, X. (2008). Embedding Sustainable Development Strategies in Agent-based Models for Use as a Planning Tool. International Journal of Geographical Information Science, 22(1 ), 21-45.

Lowry, I. S. (1964). A Model of Metropolis. Santa Monica: CA: Rand Corporation.

Mathur, P. (2007). Agent-based Modeling of Urban Phenomena in GIS.

Moeckel, R. (2005). Microsimulation of Firm Location Decision. In 9th International Conference on Computers in Urban Planning and Urban Management (CUPUM) London.

Morshidi, S. (2000). Globalising Kuala Lumpur and the Strategic Role of the Producer Services Sector, Urban Studies, 37 (12), p. 22 17-2240.

Parker, D. C. (2005). Integration of Geographic Information Systems and AgentBased Models of Land Use: Challenges and Prospects. In D.Maguire, M. Goodchild, & M. Batty (Eds.), G!S, Spatial Analysis and Modeling (pp. 403-422). ESRI press, Redlands, CA.

Schille, M., Heffler, R. and Kliigl, F. (2004). Coupling GIS and Multi-agent Simulation - Towards Infrastructure for Realistic Simulation. In J.G.Carbonell & J.Siekmann (Eds.), Multiagent System Technologies: Second German Conference, MATES 2004, Er.furt, Germany, September 29-30, 2004. Proceedings (pp. 228-242). Springer Berlin I Heidelberg.

Torrens, P. M. and Benenson, I. (2005). Geographic Automata Systems. International Journal of Geographical Information Science, 19, 385-412.

Van Dijk, J. and Pellenbarg, P. H. (2000a). Spatial Perspectives on Firm Demography. Regional Science, 79, 107-110.

Van Dijk, J. & Pellenbarg, P. H. (2000b). The Demography of Firms: An Introduction. In P.H.Pellenbarg & J. Van Dijk (Eds.), Demography of Firms: Spatial Dynamics of Firm Behaviour. Netherlands Geographical Studies No 262.

Van Dijk, J. and Pellenbarg, P. H. (2000c). The Demography of Films: Progress and Problems in Empirical Research. In P.H.Pellenbarg & J . Van Dijk (Eds.), Demography of Firms: Spatial Dynamics of Firm Behaviour. Netherlands Geographical Studies No. 262.

van Wissen, L. J. G. (2002). Demography of the Firm: A Useful Metaphor? European Journal of Population, 18, 263-279.

Yeh, A.G.O. and X. Li (2001). A Constrained CA Model for the Simulation and Planning of Sustainable Urban Forms by using GIS. Environment and Planning B: Planning and Design, 28, 733-753.

ESRI. (2003). ArcGIS 9 Geocoding Rule Base Developer Guide. webhel p.esri.com/arcgi sdesktop/9 .2/pdf/Geocoding_ Rule_ Base_ Dev elope r_Guide.pdf [On-line]. Available: http://webhelp.esri.com/arcgisdesktop/9.2/pdf/Geocoding Rule Base De veloper Guide.pdf

Parliament of Malaysia. (2006). Speech by the Prime Minister Yab Dato' Seri Abdullah Bin Haji Ahmad Badawi: Introducing The Motion To Table, The Ninth Malaysia Plan, 2006-2010, In The Dewan Rakyat, 31 March 2006. parlimen.gov.my/news/eng-ucapan _ rmk9 .pdf [On-line]. Available: www.parlimen.gov. my/news/eng-ucapan rmk9.pdf

Sultan Abdul Aziz Shah Airport. (2010). Wikipedia [On-line]. Available: http: //en.wikipedia.org/wiki/Sultan Abdul Aziz Shah Airport

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Published

2013-07-30

How to Cite

Che Man, N., Sabri, S., Hosni, N., & Timmerman, H. (2013). FIRM DYNAMIC ANALYSIS FOR URBAN LAND USE AND ECONOMIC GROWTH MODELLING. PLANNING MALAYSIA, 11(2). https://doi.org/10.21837/pm.v11i2.116