Multi-objective route planning for dangerous goods using compromise programming |
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Authors: | Rongrong Li Yee Leung |
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Institution: | (1) Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, N. T., Hong Kong |
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Abstract: | The transportation of dangerous goods (DG) can significantly affect the human and natural environment if accidents occur during
the transportation process. Hong Kong is a large city with high population density and narrow streets. Due to the land constraints,
vehicles carrying DG inevitably have to pass through densely populated areas or their vicinities. Therefore, safe DG transportation
is of paramount importance. There is thus an urgent need to review and improve the way trucks carrying DG are being routed
on the road networks. Routing of such vehicles should consider not only the operating cost, but also the safety of travelers
in the network, the population potentially exposed, and the possible damage inflicted to the surrounding properties and facilities
in the event of a DG incident. This research develops a novel methodology for the determination of optimal routes for DG transportation
under conflicting objectives by means of the compromise programming approach. With the support of geographical information
system (GIS), a case study is carried out for the transportation of DG in the road network of Hong Kong. The experimental
results confirm the effectiveness of the proposed approach. |
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Keywords: | |
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