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dc.contributor.authorSong, Yongze
dc.contributor.authorWu, Peng
dc.contributor.authorGilmore, Daniel
dc.contributor.authorLi, Qindong
dc.identifier.citationSong, Y. and Wu, P. and Gilmore, D. and Li, Q. 2020. A Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems. IEEE Transactions on Intelligent Transportation Systems.

Road network conditions and road quality are directly linked with the performance of an entire infrastructure system. As sensor monitoring of road deteriorations has rapidly increased, road infrastructure performance can now be assessed using multiple measures. However, more effective and accurate quantitative analysis methods are increasingly required. This research explores road infrastructure performance using road deterioration network data in the Mid West Gascoyne region, Australia. A spatial heterogeneity-based segmentation (SHS) model is developed for redefining road segments across the network in terms of sensor monitoring data, and for both project-level and network-level infrastructure systems management. To evaluate the model effectiveness and accuracy, an evaluation system is proposed from four aspects: segment number, homogeneity within segments, heterogeneity among segments, and segment morphology. The SHS model is compared with two widely used road network segmentation methods. The results show that the SHS model can use fewer segments to ensure higher homogeneity within segments and heterogeneity among segments across the network. Meanwhile, the segment lengths are more uniformly distributed as compared with results from other methods. The developed model and findings from this research can significantly improve the utilization of sensor monitoring network data and support multi-scale infrastructure systems management.

dc.titleA Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Intelligent Transportation Systems
curtin.departmentSchool of Design and the Built Environment
curtin.accessStatusOpen access
curtin.facultyFaculty of Humanities
curtin.contributor.orcidSong, Yongze [0000-0003-3420-9622]
curtin.contributor.orcidWu, Peng [0000-0002-3793-0653]
curtin.contributor.scopusauthoridSong, Yongze [57200073199]

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