Literature DB >> 20103571

Cost optimization of a real-time GIS-based management system for hazardous waste transportation.

Yun Zhu1, Che-Jen Lin, Yilong Zhong, Qing Zhou, Che-Jen Lin, Chunyi Chen.   

Abstract

In this paper, the design and cost analysis of a real-time, geographical information system (GIS) based management system for hazardous waste transportation are described. The implementation of such a system can effectively prevent illegal dumping and perform emergency responses during the transportation of hazardous wastes. A case study was conducted in Guangzhou, China to build a small-scale, real-time management system for waste transportation. Two alternatives were evaluated in terms of system capability and cost structure. Alternative I was the building of a complete real-time monitoring and management system in a governing agency; whereas alternative II was the combination of the existing management framework with a commercial Telematics service to achieve the desired level of monitoring and management. The technological framework under consideration included locating transportation vehicles using a global positioning system (GPS), exchanging vehicle location data via the Internet and Intranet, managing hazardous waste transportation using a government management system and responding to emergencies during transportation. Analysis of the cost structure showed that alternative II lowered the capital and operation cost by 38 and 56% in comparison with alternative I. It is demonstrated that efficient management can be achieved through integration of the existing technological components with additional cost benefits being achieved by streamlined software interfacing.

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Year:  2010        PMID: 20103571     DOI: 10.1177/0734242X09345277

Source DB:  PubMed          Journal:  Waste Manag Res


  1 in total

1.  Optimization for municipal solid waste treatment based on energy consumption and contaminant emission.

Authors:  An-Ying Jiao; Zhen-Shan Li; Lei Wang; Meng-Jing Xia
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-16       Impact factor: 4.223

  1 in total

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