On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level
| dc.contributor.advisor | Bhat, Chandra R. (Chandrasekhar R.), 1964- | en |
| dc.contributor.committeeMember | Boyles, Stephen D | en |
| dc.creator | Narayanamoorthy, Sriram | en |
| dc.date.accessioned | 2013-03-04T16:14:31Z | en |
| dc.date.issued | 2012-12 | en |
| dc.date.submitted | December 2012 | en |
| dc.date.updated | 2013-03-04T16:14:32Z | en |
| dc.description | text | en |
| dc.description.abstract | This thesis proposes a new spatial multivariate count model to jointly analyze the traffic crash-related counts of pedestrians and bicyclists by injury severity. The modeling framework is applied to predict injury counts at a Census tract level, based on crash data from Manhattan, New York. The results highlight the need to use a multivariate modeling system for the analysis of injury counts by road-user type and injury severity level, while also accommodating spatial dependence effects in injury counts. | en |
| dc.description.department | Civil, Architectural, and Environmental Engineering | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/19698 | en |
| dc.language.iso | en_US | en |
| dc.subject | Multivariate count data | en |
| dc.subject | Spatial econometrics | en |
| dc.subject | Crash analysis | en |
| dc.subject | Composite marginal likelihood | en |
| dc.title | On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level | en |
| thesis.degree.department | Civil, Architectural, and Environmental Engineering | en |
| thesis.degree.discipline | Civil Engineering | en |
| thesis.degree.grantor | The University of Texas at Austin | en |
| thesis.degree.level | Masters | en |
| thesis.degree.name | Master of Science in Engineering | en |