Full metadata record
DC FieldValueLanguage
dc.contributor.authorKao, Jehng-Jungen_US
dc.contributor.authorWen, Long-Maoen_US
dc.contributor.authorLiu, Kun-Hsingen_US
dc.date.accessioned2014-12-08T15:07:07Z-
dc.date.available2014-12-08T15:07:07Z-
dc.date.issued2010-04-01en_US
dc.identifier.issn0733-9372en_US
dc.identifier.urihttp://dx.doi.org/10.1061/(ASCE)EE.1943-7870.0000170en_US
dc.identifier.urihttp://hdl.handle.net/11536/5589-
dc.description.abstractSiting appropriate locations for placing recycling depots is essential for promoting an efficient recycling program. This study develops three optimization models to facilitate siting analysis for district-based, district open, and nondistrict situations. An enhanced model to improve drawbacks of locating recycling depots that mainly serve residents in adjacent districts using the district open model is also proposed. Three factors of service distance, local service ratio, and service ratios for different distance ranges are used to compare the effectiveness of alternatives obtained from different models. A case study involving 16 city districts is implemented to demonstrate the applicability of the proposed models. Findings show that the district-based alternatives have best overall service distance and service ratio, but with a poor local service ratio. The enhanced model obtains alternatives that achieve good local service ratio with acceptable service distance and service ratios for different distance ranges.en_US
dc.language.isoen_USen_US
dc.titleService Distance and Ratio-Based Location-Allocation Models for Siting Recycling Depotsen_US
dc.typeArticleen_US
dc.identifier.doi10.1061/(ASCE)EE.1943-7870.0000170en_US
dc.identifier.journalJOURNAL OF ENVIRONMENTAL ENGINEERING-ASCEen_US
dc.citation.volume136en_US
dc.citation.issue4en_US
dc.citation.spage444en_US
dc.citation.epage450en_US
dc.contributor.department環境工程研究所zh_TW
dc.contributor.departmentInstitute of Environmental Engineeringen_US
dc.identifier.wosnumberWOS:000275659900014-
dc.citation.woscount3-
Appears in Collections:Articles


Files in This Item:

  1. 000275659900014.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.