Browsing by Author "Tahir, Zurinah"

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    Model kesesuaian perancangan elemen keselamatan fizikal komuniti berpagar dan kejiranan berpengawal
    (Universiti Teknologi Malaysia, 2014) Tahir, Zurinah
    Gated communities and guarded neighbourhoods are considered to be one of the best recent developments that contribute to the security of urban populations. Several issues frequently arise concerning the physical planning of gated communities and guarded neighbourhoods, such as the construction of unauthorised guard houses, the size of fences or the construction of physical barriers to meet security requirements. Many constructions within gated communities and guarded neighbourhoods do not incorporate the basic principles of Crime Prevention through Environmental Design (CPTED) in drawing up security elements to control crime. In this study, a model to enhance the preparedness in physical security elements in gated communities and guarded neighbourhoods integrating Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) is presented. This approach in integrating MCDA and GIS improves the result analysis to identify gated residential communities and guarded neighbourhoods that are best planned in terms of physical security, as well as the actual level of security achieved. The integration of MCDA and GIS facilitates the resolution of various problems associated with the planning and management of gated communities and guarded neighbourhoods. In particular, the adoption of GIS more precisely elucidates the specific planning requirements for the improvement of such communities. The additional benefits obtained through GIS modelling include proposals and standards that are appropriate to the particular gated and guarded community according to its classification and suitability. With such standards in place, a mechanism for the development of policies and guidelines can be established to achieve the best results in the planning and implementation of security features for gated communities and guarded neighbourhoods of the future