Development of Geospatial Models for Multi-Criteria Decision Making in Traffic Environmental Impacts of Heavy Vehicle Freight Transportation
dc.contributor.author | Song, Yongze | |
dc.contributor.supervisor | Xiangyu Wang | en_US |
dc.date.accessioned | 2019-03-26T00:42:21Z | |
dc.date.available | 2019-03-26T00:42:21Z | |
dc.date.issued | 2018 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/75053 | |
dc.description.abstract |
Heavy vehicle freight transportation is one of the primary contributors to the socio-economic development, but it has great influence on traffic environment. To comprehensively and more accurately quantify the impacts of heavy vehicles on road infrastructure performance, a series of geospatial models are developed for both geographically global and local assessment of the impacts. The outcomes are applied in flexible multi-criteria decision making for the industrial practice of road maintenance and management. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Development of Geospatial Models for Multi-Criteria Decision Making in Traffic Environmental Impacts of Heavy Vehicle Freight Transportation | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Construction Management | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |