2019
DOI: 10.1080/15472450.2019.1615487
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Development of a global positioning system data-based trip-purpose inference method for hazardous materials transportation management

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Cited by 17 publications
(6 citation statements)
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References 23 publications
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“…e low aggregation area is generally distributed in the peripheral city, which indicates that spatial location has a significant influence on accessibility of the designated hospitals. Areas with not-significant aggregation usually have average healthcare accessibility [39].…”
Section: Spatial Autocorrelation Analysis Of Accessibilitymentioning
confidence: 99%
“…e low aggregation area is generally distributed in the peripheral city, which indicates that spatial location has a significant influence on accessibility of the designated hospitals. Areas with not-significant aggregation usually have average healthcare accessibility [39].…”
Section: Spatial Autocorrelation Analysis Of Accessibilitymentioning
confidence: 99%
“…The monitoring system is considered as an essential factor for the management, operation, and evaluation of HAZMAT transport, indicating that the intervention of central and local governments, and the cooperation between system developers and traffic researchers are essential. Zhao et al [13] studied and identified a rising trend in HAZMAT truck accidents in China. To counter the increasing trend, they applied an unsupervised framework to analyze HAZMAT truck trips and to provide adequate decision-making support for policymakers in terms of HAZMAT transportation.…”
Section: Insights From the Previous Studiesmentioning
confidence: 99%
“…The full Bayesian random parameters multivariate Tobit model was used by Guo et al [31,32] to evaluate the safety impacts and modeled correlation and heterogeneity in crash rates by collision types. Zhao et al [33] presented an unsupervised two-phase framework for inferring multiple trip purposes (i.e., loading, unloading, in-yard, and other stops) based on the passive global positioning system (GPS) data during the hazardous materials transportation process. Ma et al [34] reviewed the optimization of hazardous materials transportation from transportation risk, route optimization, and fleet scheduling.…”
Section: Introductionmentioning
confidence: 99%