A DECISION SUPPORT TOOL FOR A WALKABLE INTEGRATEDNEIGHBOURHOOD DESIGN USING A MULTICRITERIA DECISIONMAKING METHOD

摘要

. Growing concern about transportation emissions and energy securityhas persuaded urban professionals and practitioners to pursue non-motorizedurban development. They need an assessment tool to measure the associationbetween the built environment and pedestrians’ walking behaviour moreaccurately. This research has developed a new assessment tool called theWalkable Integrated Neighbourhood Design (WIND) support tool, whichinterprets the built environment’s qualitative variables and pedestrians’ perceptualqualities in relation to quantifiable variables. The WIND tool captures andforecasts pedestrians’ mind mapping, as well as sequential decision-makingduring walking, and then analyses the path walkability through a decision-tree-making (DTM) algorithm on both the segment scale and the neighbourhood scale.The WIND tool measures walkability by variables clustered into five features,11 criteria and 92 subcriteria. The mind-mapping analysis is presented in the formof a ‘Walkability_DTM-Mind-mapping sheet’ for each destination and the overallneighbourhood. The WIND tool is applicable to any neighbourhood cases,although it was applied to the Taman Universiti neighbourhood in Malaysia.The tool’s outputs aid urban designers to imply adaptability betweenthe neighbourhood environment and residents’ perceptions, preferences andneeds.