INTEGRATED MODELING OF MULTI-CRITERIA EVALUATION AND PLANNING SUPPORT SYSTEMS IN INNER CITY REDEVELOPMENT APPRAISAL

The task of synthesizing enormous amount of data and criteria is one of the greatest challenges faced by spatial planners, policy and decision makers recently. In addition, the spatial planners and decision makers have accomplished different state of the art and systems to perform complex analyses and anticipate the future behavior of complex systems like cities. This requires a well organized problem definition as well as a dynamic spatial data modeling. The objective of this research is to describe development of an integrated model by adopting Multi-criteria Evaluation (MCE) and Planning Support System (PSS). The model will control the redevelopment plan of Kuala Lumpur City Center from four points of view, namely, Environmental, Heritage, Height control, and Transit Planning Zones (TPZ). There are controlling regularities for each of abovementioned criteria that need to be organized in dynamic databases during the process of planning. Consequently dynamic assumptions are initialized based on Kuala Lumpur Development Control Plan 2008 (KLDCP, 2008), using CommunityViz extension of ArcGIS software. The range of ratios based on Residential, Retail and Office in Mixed-use redevelopment areas are considered in setting up the scenarios. Heritage and TPZ controls are required to be verified automatically based on relative location of site in controlling maps. But for the other two factors, the number of stories and dwelling units are estimated first and consequently resident and employee population in each scenario are projected. The priority of each scenario also is retrieved by Analytic Network Process (ANP) as a MCE which is completely based on expert knowledge. Finally, the environmental and socioeconomic impacts of future population such as Annual Carbon Dioxide Auto Emissions, Average vehicle Trip length, Daily Household water use, Labor force population and other parameters, are computed interactively. The results of the computation help to decide which scenario meets the requirements of KLDCP 2008. This research illustrated how a well-designed spatial model can take into account almost all considerable factors in a planning process for a highly complex system.