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The goal of this paper is to identify energy efficient planning approaches for Kathmandu by understanding the influencing factors of urban form (5Ds) to reduce travel energy consumption. The rapid urb...anizing, growing population, increasing motorization and increasing rate of fuel import have led growing concern on how to reduce travel energy consumption via urban planning discipline in Kathmandu. This paper applies two analysis methods: Multiple Linear Regression Model (MLRM) and Cluster analysis. The analysis result shows that motorcycle is the most influencing factor among travel variables which affect the increase of travel energy consumption in Kathmandu. Also, the result shows that motorcycle reduction is highly associated with density (D1, 34%) followed by destination accessibility (D4, 22%) and design (D3, 23%). Likewise, the result highlights that motorcycle is highly used for study (64%) followed by work (35%) and private purpose (1 %). This study proposes energy efficient planning approaches based on the findings of MLRM and Clusterization of Kathmandu.続きを見る
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