175 6.2.4.4 Outcome of the Housing Forecast Analysis shows that majority of the SPs in the study area, that is six or 85.7 percent, produce the outcome of housing forecasts in the form of total housing units. The SPs have ignored to produce the future housing requirement in the form of housing demands, such as the housing category or housing types. In this respect, only one SP, i.e. MPJB, Mukim Plentong and Pasir Gudang SP can be considered as comprehensive. This SP, other than producing the total housing amount, divides its forecasting outcome into certain housing categories, namely high-cost, medium-cost and low-cost. The way this plan carries out the housing forecast basically fulfilled the aim to know the types and preferences of houses to be in demand in the future as outlined by Blake and Nicol (2004). The analysis also reveals that the housing forecast in the MPJB, Mukim Plentong and Pasir Gudang SP is carried out in two stages. The first stage generates the figure of total housing required in the future, while the second stage which incorporates the figures of household effective demand (expected future household incomes), generates the demand (in the form of housing category) for future housing. It should be noted that in carrying out the forecasting activity, the MPJB, Mukim Plentong and Pasir Gudang SP had utilised fully information related to the expected future household incomes produced by the demographic sector (study) in the plan.
6.2.4.5 The Level of Comprehensiveness of Housing Forecast The above results enable the level of comprehensiveness of each SP in conducting the activity of housing forecast be determined. For each measurement criteria (section 4.9.1), its comprehensiveness level is measured according to the score values given, that is 0 (for incomprehensive) and 1 (for comprehensive). (i)
The score value 1 (comprehensive) is given if a particular SP applies either an integrated or a common technique, considers housing aspects, future household growth and prediction of future housing demands, generates housing forecasts for both overall and certain planning periods and produces an outcome in other forms, such as housing category or housing types.