Who might be affected by crashes? Identifying areas susceptible to crash injury risk and their major contributing factors

References

• Abdel-Aty, Mohamed, Prem Chand Devarasetty, and Anurag Pande. 2009. “Safety Evaluation of Multilane Arterials in Florida.” Accident Analysis and Prevention 41: 777–788. doi:10.1016/j.aap.2009.03.015.
   PubMed Web of Science ®Google Scholar
• Abdel-Aty, Mohamed, Jaeyoung Lee, Chowdhury Siddiqui, and Keechoo Choi. 2013. “Geographical Unit Based Analysis in the Context of Transportation Safety Planning.” Transportation Research Part A: Policy and Practice 49: 62–75. doi:10.1016/j.tra.2013.01.030.
   Web of Science ®Google Scholar
• ACS. 2010. American Community Survey by U.S. Census. https://www.census.gov/programs-surveys/acs/.
   Google Scholar
• Al-Ghamdi, Ali S. 2002. “Using Logistic Regression to Estimate the Influence of Accident Factors on Accident Severity.” Accident Analysis and Prevention 34 (6): 729–741. doi:10.1016/S0001-4575(01)00073-2.
   PubMed Web of Science ®Google Scholar
• Altwaijri, Saleh, Mohammed Quddus, and Abigail Bristow. 2012. “Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models.” International Journal of Transportation Science and Technology 1 (4): 351–364. doi: 10.1260/2046-0430.1.4.351
   Google Scholar
• Anastasopoulos, Panagiotis Ch, and Fred L. Mannering. 2011. “An Empirical Assessment of Fixed and Random Parameter Logit Models Using Crash- and Non-Crash-Specific Injury Data.” Accident Analysis and Prevention 43 (3). Elsevier Ltd: 1140–1147. doi:10.1016/j.aap.2010.12.024.
   PubMed Web of Science ®Google Scholar
• Anastasopoulos, Panagiotis Ch, Fred L. Mannering, Venky N. Shankar, and John E. Haddock. 2012. “A Study of Factors Affecting Highway Accident Rates Using the Random-Parameters Tobit Model.” Accident Analysis and Prevention 45. Elsevier Ltd: 628–633. doi:10.1016/j.aap.2011.09.015.
   PubMed Web of Science ®Google Scholar
• Anderson, Tessa K. 2009. “Kernel Density Estimation and K-Means Clustering to Profile Road Accident Hotspots.” Accident Analysis and Prevention 41 (3): 359–364. doi:10.1016/j.aap.2008.12.014.
   PubMed Web of Science ®Google Scholar
• ArcGIS. 2016. “Geoprocessing Tools.” ArcMAP 10.1. http://desktop.arcgis.com/en/arcmap/latest/tools/main/a-quick-tour-of-geoprocessing-tool-references.htm.
   Google Scholar
• Blazquez, Carola A., and Marcela S. Celis. 2013. “A Spatial and Temporal Analysis of Child Pedestrian Crashes in Santiago, Chile.” Accident Analysis and Prevention 50. Elsevier Ltd: 304–311. doi:10.1016/j.aap.2012.05.001.
   PubMed Web of Science ®Google Scholar
• Boyce, Thomas E, and E Scott Geller. 2002. “An Instrumented Vehicle Assessment of Problem Behavior and Driving Style: Do Younger Males Really Take More Risks?” Accident Analysis and Prevention 34 (1): 51–64. doi:10.1016/S0001-4575(00)00102-0.
   PubMed Web of Science ®Google Scholar
• Burnham, Kenneth P., and David R. Anderson. 2002. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach. New York: Springer Science & Business Media. doi:10.1007/b97636.
   Google Scholar
• Cheng, Wen, Gurdiljot Singh Gill, Ravi Dasu, Meiquan Xie, Xudong Jia, and Jiao Zhou. 2017. “Comparison of Multivariate Poisson Lognormal Spatial and Temporal Crash Models to Identify Hot Spots of Intersections Based on Crash Types.” Accident Analysis and Prevention 99. Elsevier Ltd: 330–341. doi:10.1016/j.aap.2016.11.022.
   PubMed Web of Science ®Google Scholar
• Citilabs. 2016. “Cube Software.” http://www.citilabs.com/.
   Google Scholar
• Dai, Dajun. 2012. “Identifying Clusters and Risk Factors of Injuries in Pedestrian–Vehicle Crashes in a GIS Environment.” Journal of Transport Geography 24. Elsevier Ltd: 206–214. doi:10.1016/j.jtrangeo.2012.02.005.
   Web of Science ®Google Scholar
• Das, Abhishek, Mohamed Abdel-Aty, and Anurag Pande. 2009. “Using Conditional Inference Forests to Identify the Factors Affecting Crash Severity on Arterial Corridors.” Journal of Safety Research 40 (4). National Safety Council and Elsevier Ltd: 317–327. doi:10.1016/j.jsr.2009.05.003.
   PubMed Web of Science ®Google Scholar
• Delmelle, Elizabeth Cahill, Jean-Claude Thill, and Hoe-Hun Ha. 2012. “Spatial Epidemiologic Analysis of Relative Collision Risk Factors among Urban Bicyclists and Pedestrians.” Transportation 39 (2): 433–448. doi:10.1007/s11116-011-9363-8.
   Web of Science ®Google Scholar
• District 7 Office. 2015. Tampa Bay Regional Planning Model.
   Google Scholar
• District 7 Office. 2016. Tampa Bay Strategic Freight Plan.
   Google Scholar
• Dong, Ni, Helai Huang, Jaeyoung Lee, Mingyun Gao, and Mohamed Abdel-Aty. 2016. “Macroscopic Hotspots Identification: A Bayesian Spatio-Temporal Interaction Approach.” Accident Analysis and Prevention 92. Elsevier Ltd: 256–264. doi:10.1016/j.aap.2016.04.001.
   PubMed Web of Science ®Google Scholar
• Effati, Meysam, Jean-Claude Thill, and Shahin Shabani. 2015. “Geospatial and Machine Learning Techniques for Wicked Social Science Problems: Analysis of Crash Severity on a Regional Highway Corridor.” Journal of Geographical Systems 17 (2): 107–135. doi:10.1007/s10109-015-0210-x.
   Web of Science ®Google Scholar
• FDOT. 2015. “Traffic Data.” Florida Department of Transportation. http://www.dot.state.fl.us/planning/statistics/trafficdata/.
   Google Scholar
• FGDL. 2016. “Florida Geographic Data Library.” http://www.fgdl.org/metadataexplorer/explorer.jsp.
   Google Scholar
• Getis, Arthur, and J.K. Ord. 1992. “The Analysis of Spatial Associatiion by Use of Distance Statistics.” Geographical Analysis 24 (3): 189–206. doi:10.1073/pnas.0703993104.
   Web of Science ®Google Scholar
• Gundogdu, Ismail Bulent. 2010. “Applying Linear Analysis Methods to GIS-Supported Procedures for Preventing Traffic Accidents: Case Study of Konya.” Safety Science 48 (6). Elsevier Ltd: 763–769. doi:10.1016/j.ssci.2010.02.016.
   Web of Science ®Google Scholar
• Herbel, Susan, Lorrie Laing, and Colleen McGovern. 2010. Highway Safety Improvement Program (HSIP) Manual. FHWA-SA-09-029.
   Google Scholar
• Huang, Helai, and Mohamed Abdel-Aty. 2010. “Multilevel Data and Bayesian Analysis in Traffic Safety.” Accident Analysis and Prevention 42 (6). Elsevier Ltd: 1556–1565. doi:10.1016/j.aap.2010.03.013.
   PubMed Web of Science ®Google Scholar
• Huang, Helai, Hoong Chor Chin, and Md Mazharul Haque. 2008. “Severity of Driver Injury and Vehicle Damage in Traffic Crashes at Intersections: A Bayesian Hierarchical Analysis.” Accident Analysis and Prevention 40: 45–54. doi:10.1016/j.aap.2007.04.002.
   PubMed Web of Science ®Google Scholar
• Jean-Louis, Martin. 2002. “Relationship Between Crash Rate and Hourly Traffic Flow on Interurban Motorways.” Accident Analysis and Prevention 34 (5): 619–629. doi: 10.1016/S0001-4575(01)00061-6
   PubMed Web of Science ®Google Scholar
• Khan, Ghazan, Xiao Qin, and David A. Noyce. 2008. “Spatial Analysis of Weather Crash Patterns.” Journal of Transportation Engineering 134 (5): 191–202. doi:10.1061/(ASCE)0733-947X(2008)134:5(191).
   Web of Science ®Google Scholar
• Kim, Joon Ki, Gudmundur F. Ulfarssom, Venkataraman N. Shankar, and Fred L. Mannering. 2010. “A Note on Modeling Pedestrian-Injury Severity in Motor-Vehicle Crashes with the Mixed Logit Model.” Accident Analysis and Prevention 42 (6). Elsevier Ltd: 1751–1758. doi:10.1016/j.aap.2010.04.016.
   PubMed Web of Science ®Google Scholar
• Koopmans, Joy M., Lee Friedman, Soyang Kwon, and Karen Sheehan. 2015. “Urban Crash-Related Child Pedestrian Injury Incidence and Characteristics Associated with Injury Severity.” Accident Analysis and Prevention 77. Elsevier Ltd: 127–136. doi:10.1016/j.aap.2015.02.005.
   PubMed Web of Science ®Google Scholar
• Krahe, Barbara, and Ilka Fenske. 2002. “Predicting Aggressive Driving Behavior: The Role of Macho Personality, Age, and Power of Car.” Aggressive Behavior 28 (1): 21–29. doi:10.1002/ab.90003.
   Web of Science ®Google Scholar
• Lee, Jaeyoung, Mohamed Abdel-Aty, and Keechoo Choi. 2014. “Analysis of Residence Characteristics of At-Fault Drivers in Traffic Crashes.” Safety Science 68. Elsevier Ltd: 6–13. doi:10.1016/j.ssci.2014.02.019.
   Web of Science ®Google Scholar
• Lerner, E. Brooke, Dietrich V.K. Jehle, Anthony J. Billittier, Ronald M. Moscati, Cristine M. Connery, and Gregory Stiller. 2001. “The Influence of Demographic Factors on Seatbelt Use by Adults Injured in Motor Vehicle Crashes.” Accident Analysis & Prevention 33 (5): 659–662. doi:10.1016/S0001-4575(00)00080-4.
   PubMed Web of Science ®Google Scholar
• Maistros, Alexander, and William H. Schneider. 2018. “A Comparison of Overtime Patrol Stops Made Inside and out of Cluster Identified Hotspots.” Traffic Injury Prevention 19 (3). Taylor & Francis: 235–240. doi:10.1080/15389588.2016.1211643.
   PubMed Web of Science ®Google Scholar
• Malleson, Nick, and Martin A Andresen. 2015. “Spatio-Temporal Crime Hotspots and the Ambient Population.” Crime Science 4 (10): 8.
   Google Scholar
• Manner, Hans, and Laura Wünsch-Ziegler. 2013. “Analyzing the Severity of Accidents on the German Autobahn.” Accident Analysis and Prevention 57. Elsevier Ltd: 40–48. doi:10.1016/j.aap.2013.03.022.
   PubMed Web of Science ®Google Scholar
• McFadden, D., and Kenneth Train. 2000. “Mixed MNL Models for Discrete Response.” Journal of Applied Econometrics 15: 447–470. doi: 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1
   Web of Science ®Google Scholar
• Milton, John C., Venky N. Shankar, and Fred L. Mannering. 2008. “Highway Accident Severities and the Mixed Logit Model: An Exploratory Empirical Analysis.” Accident Analysis and Prevention 40 (1): 260–266. doi:10.1016/j.aap.2007.06.006.
   PubMed Web of Science ®Google Scholar
• Miranda-Moreno, Luis, Liping Fu, Satish Ukkusuri, and Dominique Lord. 2009. “How to Incorporate Accident Severity and Vehicle Occupancy Into the Hot Spot Identification Process?” Transportation Research Record: Journal of the Transportation Research Board 2102: 53–60. doi:10.3141/2102-07.
   Web of Science ®Google Scholar
• NHTSA. 2015. “Data-Driven Approaches to Crime and Traffic Safety (DDACTS) [WWW Document].” National Highway Traffic Safety Administration. http://www.nhtsa.gov/Driving+Safety/Enforcement+&+Justice+Services/Data-Driven+Approaches+to+Crime+and+Traffic+Safety+(DDACTS).
   Google Scholar
• Omidvar, A., E.E. Ozguven, O.A. Vanli, and R. Moses. 2016. “Understanding the Factors Affecting the Frequency and Severity of Aging Population-Involved Crashes in Florida.” Advances in Transportation Studies 2: 113–130.
   Google Scholar
• Steenberghen, Thérèse, Koen Aerts, and Isabelle Thomas. 2010. “Spatial Clustering of Events on a Network.” Journal of Transport Geography 18 (3). Elsevier Ltd: 411–418. doi:10.1016/j.jtrangeo.2009.08.005.
   Web of Science ®Google Scholar
• Taylor, A. B., Stephen G. West, and Leona S. Aiken. 2006. “Loss of Power in Logistic, Ordinal Logistic, and Probit Regression When an Outcome Variable Is Coarsely Categorized.” Educational and Psychological Measurement 66 (2): 228–239. doi:10.1177/0013164405278580.
   Web of Science ®Google Scholar
• Train, Kenneth. 2002. “Mixed Logit.” In Discrete Choice Methods with Simulation, 134–150. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Train, Kenneth, and D. Brownstone. 1999. “Forecasting New Product Penetration with Flexible Substitution Patterns.” Journal of Econometrics 89: 109–129.
   Web of Science ®Google Scholar
• U.S. Census Bureau. 2015. “2010 US Census Blocks in Florida.” Florida Geographic Data Library. http://www.fgdl.org/metadataexplorer/explorer.jsp.
   Google Scholar
• Ulak, Mehmet Baran, Ayberk Kocatepe, Eren Erman Ozguven, Mark W. Horner, and Lisa Spainhour. 2017. “Geographic Information System – Based Spatial and Statistical Analysis of Severe Crash Hotspot Accessibility to Hospitals.” Transportation Research Record: Journal of the Transportation Research Board 2635: 90–97. doi:10.3141/2635-11.
   Web of Science ®Google Scholar
• Ulak, Mehmet Baran, Eren Erman Ozguven, Lisa Spainhour, and Omer Arda Vanli. 2017. “Spatial Investigation of Aging-Involved Crashes: A GIS-Based Case Study in Northwest Florida.” Journal of Transport Geography 58. Elsevier Ltd: 71–91. doi:10.1016/j.jtrangeo.2016.11.011.
   Web of Science ®Google Scholar
• Vemulapalli, Sai Saylesh, Mehmet Baran Ulak, Eren Erman Ozguven, Thobias Sando, Mark W. Horner, Yassir Abdelrazig, and Ren Moses. 2017. “GIS-Based Spatial and Temporal Analysis of Aging-Involved Accidents: A Case Study of Three Counties in Florida.” Applied Spatial Analysis and Policy 10: 537–563. doi: 10.1007/s12061-016-9192-4
   Web of Science ®Google Scholar
• Xie, Zhixiao, and Jun Yan. 2013. “Detecting Traffic Accident Clusters with Network Kernel Density Estimation and Local Spatial Statistics: An Integrated Approach.” Journal of Transport Geography 31. Elsevier Ltd: 64–71. doi:10.1016/j.jtrangeo.2013.05.009.
   Web of Science ®Google Scholar
• Ye, Fan, and Dominique Lord. 2014. “Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordered Probit and Mixed Logit Models.” Analytic Methods in Accident Research 1. Elsevier: 72–85. doi:10.1016/j.amar.2013.03.001.
   Google Scholar
• Zhang, Jun, Joan Lindsay, Kathy Clarke, Glenn Robbins, and Yang Mao. 2000. “Factors Affecting the Severity of Motor Vehicle Traffic Crashes Involving Elderly Drivers in Ontario.” Accident Analysis and Prevention 32 (1): 117–125. doi:10.1016/S0001-4575(99)00039-1.
   PubMed Web of Science ®Google Scholar