Browsing by Author "Huang, You-Ti"

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Performance assessment for municipal solid waste collection in Taiwan
(2011-04-01)
Huang, You-Ti
;
Pan, Tze-Chin
;
Kao, Jehng-Jung
;
環境工程研究所
;
Institute of Environmental Engineering
Collecting municipal solid waste (MSW) is a major and expensive task for local waste management authorities, thus efficient MSW collection is a necessity. This study presents a procedure for developing an aggregate indicator (AI) to assess MSW collection efficiency based on multiple factors. The applicabilities of various key performance indicators (KPIs) are evaluated based on five selection criteria, and five KPIs are chosen to form the AI. The relative efficiencies of local MSW collection services are analyzed by the data envelopment analysis (DEA) method. A set of common weights for all five KPIs is then generated based on DEA results and four selection rules by modifying a previous approach. Finally, the proposed AI is applied to assess the MSW collection services provided by 307 local governments in Taiwan, and associated results are compared and discussed. (C) 2010 Elsevier Ltd. All rights reserved.
Spatial Service Location-Allocation Analysis for Siting Recycling Depots
(2013-08-01)
Kao, Jehng-Jung
;
Tsai, Yung-Tai
;
Huang, You-Ti
;
環境工程研究所
;
Institute of Environmental Engineering
Although recycling depots can promote recycling, their spatial distributions significantly affect efficiency. Despite the ability to locate depots throughout a region by minimizing total service distance, residents in sparsely populated areas may have to travel long distances to a depot. Although increasing the number of depots can reduce these distances, the associated costs increase. This study develops six optimization models based on the three objectives of minimizing maximal service distance, maximizing the service ratio, and minimizing the number of depots for district-based, district-open and nondistrict scenarios. Three factors, service distance, district equity, and service ratio, are used to assess the performance of models. A case study of 16 districts is utilized to demonstrate the application of the models. Minimizing the number of depots under the nondistrict scenario achieves a good service ratio with short service distance using fewer depots than other models. The proposed models will facilitate efforts to determine an appropriate spatial distribution of recycling depots.