Organic farming is a technique, which involves cultivation of plants in natural ways. In Malaysia, because the organic food industry is still small-scale, over 60% of organic foods are still imported and it is not possible for the availability and output of organic goods to meet the local demand and need. This study was intended to utilize the GIS and AHP technique to identify suitable areas for organic farming in Sabak Bernam, Malaysia. The study was conducted based on the objectives where criteria for organic farming were identified through background research. Pair-wise comparison (PWCM) method using questionnaires answered by experts were used to determine the weights for each of the parameters used. For this study, seven (7) criteria were considered. The criteria were then weighted according to importance and those weighted criteria were combined to produce a suitability map. A site suitability model was built using the Modelbuilder tool in Arcmap. The model used the AHP and Weighted Overlay basis which provides promising result for the analysis of finding suitable sites for organic farming. Results obtained showed that the majority of land within the Sabak Bernam district is suitable to carry out organic cultivation where the land is far from road networks, contains high organic matter content, gentle slopes with flat aspects low elevation and less than 10 meters from drainages. While land deemed not suitable involves land in dense urban area. This simultaneously means that the land is too close to road networks where underground contamination is a major possibility.
Rail transit services are becoming an important aspect in enhancing mobility in a city. Its level of service is influenced by the journey from the very first to the last mile of using the transit service which refers to walking to access a transit station. Many studies had emerged in an attempt to measure walkability which most of them translated pedestrian’s preferences or perception on walking or used accessibility analysis. There could be drawbacks in these studies which are (a) only few of them had include indoor walking environment in measuring walkability, (b) there could be inconsistencies in making judgement for many criteria simultaneously, and (c) walkability is never a measure of accessibility only. Therefore, this study will attempt to (a) create a spatial model representing indoor walking environment that can be applied in measuring walkability, (b) evaluate the priorities for each of the walkability criteria by using Analytical Network Process (ANP) and (c) measure walkability of pedestrian routes and the existing rail transit stations by using GIS. The main finding of this study will be the walkability index for pedestrian routes to the existing rail transit stations in KL city centre.
Location plays a crucial role in retail strategy. In this research, a new optimal location of Uniqlo in Greater Kuala Lumpur will be identified by using Spatial-MCDA. Spatial-MCDA combines spatial analysis and Multicriteria Decision Analysis (MCDA) where the spatial analysis will consider various criteria when conducting the analysis. The most important aspect of MCDA is deriving the weightage that will be used by spatial analysis. Various weighing techniques are available including Analytical Hierarchical Process (AHP) which will be used in this study. This paper will explain the conceptual framework of finding optimal locations of Uniqlo Stores using Spatial-MCDA. The framework started with identifying a set of criteria that influence the optimal location of the Uniqlo stores including Target Market, Facilities, Transportation, Safety and Security, and Competitor. Next, the weightage or priorities for the criteria will be computed using AHP decision rules based on their degree of importance in deciding the location of Uniqlo stores. Then, a spatial analysis will be conducted. A spatial model that will be used in finding the location will be developed by using a model builder. This stage will automate the lengthy procedure of finding the location. In this model, the weighted overlay technique will be used to identify the optimal location based on the weightage of criteria which will be represented as raster datasets. The finding of this framework will be optimal locations of the new Uniqlo stores.
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