Housing -as a special product- distinguishes the behaviour of its demand and supply. An imbalance of housing supply against demand can be a crucial part of economic crises, as happened in Thailand between 1996 and 1997. Can the housing market be controlled in a robust and rigid system? A secure market depends on balancing demand and supply dynamics; therefore, any demand has to be quantified. This research demonstrates how housing demand can be modelled by using a System Dynamics approach. This modelling concept has been set up, using the root causes which generate housing demand. Causal factors which influence housing demand are collated, and mapped. A model simulating housing demand was developed. Keys to this are demographic, social and economic factors. This model is presented with a view to pursuing new approaches for housing demand modelling. Conceptual ideas are developed on how to quantify housing demand, and the result of the simulation can then be used as a basis for policy and decision making in housing markets. The housing demand model developed from this research depends on many interrelated factors. These factors can be categorized into three broad groups, following precedent set by a review of available literature. Initial factors included demographics which deal with population number, age structure, including migration, birth and death rate. Next, social factors, in terms of marriage, divorce and splitting-household rate (i.e. household formation rate) play a major role in creating
| Identifer | oai:union.ndltd.org:ADTP/259022 |
| Date | January 2009 |
| Creators | Vajiranivesa, Pon, Ponv@nu.ac.th |
| Publisher | RMIT University. Property, Construction and Project Management |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | http://www.rmit.edu.au/help/disclaimer, Copyright Pon Vajiranivesa |
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