Integrating macro- and micro-level safety analyses: a Bayesian approach incorporating spatial interaction

References

• Abdel-Aty, M., J. Lee, N. Eluru, Q. Cai, S. Al Amili, and S. Alarifi. 2016. Enhancing and Generalizing the Two-Level Screening Approach Incorporating the Highway Safety Manual (HSM) Methods, Phase 2. Florida Department of Transportation.
   Google Scholar
• Abdel-Aty, M., J. Lee, C. Siddiqui, and K. Choi. 2013. “Geographical Unit Based Analysis in the Context of Transportation Safety Planning.” Transportation Research Part A: Policy and Practice 49: 62–75.
   Web of Science ®Google Scholar
• Abdel-Aty, M., and A. E. Radwan. 2000. “Modeling Traffic Accident Occurrence and Involvement.” Accident Analysis & Prevention 32: 633–642. doi: 10.1016/S0001-4575(99)00094-9
   PubMed Web of Science ®Google Scholar
• Aguero-Valverde, J., and P. P. Jovanis. 2010. “Spatial Correlation in Multilevel Crash Frequency Models: Effects of Different Neighboring Structures.” Transportation Research Record: Journal of the Transportation Research Board 2165: 21–32. doi: 10.3141/2165-03
   Web of Science ®Google Scholar
• Anastasopoulos, P. C., and F. L. Mannering. 2009. “A Note on Modeling Vehicle Accident Frequencies with Random-Parameters Count Models.” Accident Analysis & Prevention 41: 153–159. doi: 10.1016/j.aap.2008.10.005
   PubMed Web of Science ®Google Scholar
• Anastasopoulos, P. C., F. L. Mannering, V. N. Shankar, and J. E. Haddock. 2012. “A Study of Factors Affecting Highway Accident Rates Using the Random-parameters Tobit Model.” Accident Analysis & Prevention 45: 628–633. doi: 10.1016/j.aap.2011.09.015
   PubMed Web of Science ®Google Scholar
• Besag, J., J. York, and A. Mollié. 1991. “Bayesian Image Restoration, with two Applications in Spatial Statistics.” Annals of the Institute of Statistical Mathematics 43: 1–20. doi: 10.1007/BF00116466
   Web of Science ®Google Scholar
• Cai, Q., M. Abdel-Aty, and J. Lee. 2017. “Macro-level Vulnerable Road Users Crash Analysis: a Bayesian Joint Modeling Approach of Frequency and Proportion.” Accident Analysis & Prevention 107: 11–19. doi: 10.1016/j.aap.2017.07.020
   PubMed Web of Science ®Google Scholar
• Cai, Q., M. Abdel-Aty, J. Lee, and N. Eluru. 2017. “Comparative Analysis of Zonal Systems for Macro-Level Crash Modeling.” Journal of Safety Research 61: 157–166. doi: 10.1016/j.jsr.2017.02.018
   PubMed Web of Science ®Google Scholar
• Cai, Q., J. Lee, N. Eluru, and M. Abdel-Aty. 2016. “Macro-level Pedestrian and Bicycle Crash Analysis: Incorporating Spatial Spillover Effects in Dual State Count Models.” Accident Analysis & Prevention 93: 14–22. doi: 10.1016/j.aap.2016.04.018
   PubMed Web of Science ®Google Scholar
• Cheng, W., and S. Washington. 2008. “New Criteria for Evaluating Methods of Identifying Hot Spots.” Transportation Research Record: Journal of the Transportation Research Board 2083: 76–85. doi: 10.3141/2083-09
   Web of Science ®Google Scholar
• Dong, C., D. B. Clarke, X. Yan, A. Khattak, and B. Huang. 2014. “Multivariate Random-Parameters Zero-Inflated Negative Binomial Regression Model: An Application to Estimate Crash Frequencies at Intersections.” Accident Analysis & Prevention 70: 320–329. doi: 10.1016/j.aap.2014.04.018
   PubMed Web of Science ®Google Scholar
• El-Basyouny, K., and T. Sayed. 2009. “Collision Prediction Models Using Multivariate Poisson-Lognormal Regression.” Accident Analysis & Prevention 41 (4): 820–828. doi: 10.1016/j.aap.2009.04.005
   PubMed Web of Science ®Google Scholar
• FHWA, Census Transportation Planning Products (CTPP). 2011. 2010 Census Traffic Analysis Zone Program MAF/TIGER Partnership Software Participant Guidelines.
   Google Scholar
• Fu, T., L. Miranda-Moreno, and N. Saunier. 2018. “A Novel Framework to Evaluate Pedestrian Safety at Non-signalized Locations.” Accident Analysis & Prevention 111: 23–33. doi: 10.1016/j.aap.2017.11.015
   PubMed Web of Science ®Google Scholar
• Garber, N., and A. Ehrhart. 2000. “Effect of Speed, Follow, and Geometric Characteristics on Crash Frequency for Two-Lane Highways.” Transportation Research Record: Journal of the Transportation Research Board 1717: 76–83. doi: 10.3141/1717-10
   Web of Science ®Google Scholar
• Girasek, D. C., and B. Taylor. 2010. “An Exploratory Study of the Relationship between Socioeconomic Status and Motor Vehicle Safety Features.” Traffic injury prevention 11 (2): 151–155. doi: 10.1080/15389580903531598
   PubMed Web of Science ®Google Scholar
• Hadayeghi, A., A. S. Shalaby, and B. N. Persaud. 2010. “Development of Planning Level Transportation Safety Tools Using Geographically Weighted Poisson Regression.” Accident Analysis & Prevention 42: 676–688. doi: 10.1016/j.aap.2009.10.016
   PubMed Web of Science ®Google Scholar
• Houston, R. W. 1998. “The Transportation Equity Act for the 21st Century. Institute of Transportation Engineers.” ITE Journal 68 (7): 45.
   Google Scholar
• Huang, H., M. Abdel-Aty, and A. Darwiche. 2010. “County-level Crash Risk Analysis in Florida: Bayesian Spatial Modeling.” Transportation Research Record: Journal of the Transportation Research Board 2148: 27–37. doi: 10.3141/2148-04
   Web of Science ®Google Scholar
• Huang, H., B. Song, P. Xu, Q. Zeng, J. Lee, and M. Abdel-Aty. 2016. “Macro and Micro Models for Zonal Crash Prediction with Application in Hot Zones Identification.” Journal of Transport Geography 54: 248–256. doi: 10.1016/j.jtrangeo.2016.06.012
   Web of Science ®Google Scholar
• Huang, H., Q. Zeng, X. Pei, S. C. Wong, and P. Xu. 2016. “Predicting Crash Frequency Using an Optimized Radial Basis Function Neural Network Model.” Transportmetrica A: Transport Science 12 (4): 330–345. doi: 10.1080/23249935.2015.1136008
   Web of Science ®Google Scholar
• Lee, J., M. Abdel-Aty, and Q. Cai. 2017. “Intersection Crash Prediction Modeling with Macro-Level Data from Various Geographic Units.” Accident Analysis & Prevention 102: 213–226. doi: 10.1016/j.aap.2017.03.009
   PubMed Web of Science ®Google Scholar
• Lee, J., M. Abdel-Aty, K. Choi, and H. Huang. 2015. “Multi-level Hot Zone Identification for Pedestrian Safety.” Accident Analysis & Prevention 76: 64–73. doi: 10.1016/j.aap.2015.01.006
   PubMed Web of Science ®Google Scholar
• Lee, J., M. Abdel-Aty, and X. Jiang. 2014. “Development of Zone System for Macro-Level Traffic Safety Analysis.” Journal of Transport Geography 38: 13–21. doi: 10.1016/j.jtrangeo.2014.04.018
   Web of Science ®Google Scholar
• Lee, J., M. Abdel-Aty, and X. Jiang. 2015. “Multivariate Crash Modeling for Motor Vehicle and Non-Motorized Modes at the Macroscopic Level.” Accident Analysis & Prevention 78: 146–154. doi: 10.1016/j.aap.2015.03.003
   PubMed Web of Science ®Google Scholar
• Lee, J., B. Nam, and M. Abdel-Aty. 2015. “Effects of Pavement Surface Conditions on Traffic Crash Severity.” Journal of Transportation Engineering 141 (10): 04015020. doi: 10.1061/(ASCE)TE.1943-5436.0000785
   Google Scholar
• Lerner, E. B., D. V. Jehle, A. J. Bilittier, R. M. Moscati, C. M. Connery, and G. Stiller. 2001. “The Influence of Demographic Factors on Seatbelt Use by Adults Injured in Motor Vehicle Crashes.” Accident Analysis & Prevention 33: 659–662. doi: 10.1016/S0001-4575(00)00080-4
   PubMed Web of Science ®Google Scholar
• Lord, D., and F. Mannering. 2010. “The Statistical Analysis of Crash-Frequency Data: A Review and Assessment of Methodological Alternatives.” Transportation Research Part A: Policy and Practice 44: 291–305.
   Web of Science ®Google Scholar
• Menard, S. 1995. Applied Logistic Regression Analysis: Sage University Series on Quantitative Applications in the Social Sciences. Thousand Oaks, CA: Sage.
   Google Scholar
• Miaou, S. P., J. J. Song, and B. K. Mallick. 2003. “Roadway Traffic Crash Mapping: A Space-Time Modeling Approach.” Journal of Transportation and Statistics 6: 33–58.
   Google Scholar
• Park, J., M. Abdel-Aty, J. Lee, and C. Lee. 2015. “Developing Crash Modification Functions to Assess Safety Effects of Adding Bike Lanes for Urban Arterials with Different Roadway and Socio-Economic Characteristics.” Accident Analysis & Prevention 74: 179–191. doi: 10.1016/j.aap.2014.10.024
   PubMed Web of Science ®Google Scholar
• Quddus, M. A. 2008. “Modelling Area-Wide Count Outcomes with Spatial Correlation and Heterogeneity: An Analysis of London Crash Data.” Accident Analysis & Prevention 40: 1486–1497. doi: 10.1016/j.aap.2008.03.009
   PubMed Web of Science ®Google Scholar
• Shankar, V., F. Mannering, and W. Barfield. 1995. “Effect of Roadway Geometrics and Environmental Factors on Rural Freeway Accident Frequencies.” Accident Analysis & Prevention 27: 371–389. doi: 10.1016/0001-4575(94)00078-Z
   PubMed Web of Science ®Google Scholar
• Siddiqui, C., and M. Abdel-Aty. 2012. “Nature of Modeling Boundary Pedestrian Crashes at Zones.” Transportation Research Record: Journal of the Transportation Research Board 2299: 31–40. doi: 10.3141/2299-04
   Google Scholar
• Taylor, M. C., A. Baruya, and J. V. Kennedy. 2002. The Relationship Between Speed and Accidents on Rural Single-Carriageway Roads (TRL Report 511).
   Google Scholar
• US Congress. 2012. Moving Ahead for Progress in the 21st Century Act. Washington, DC.
   Google Scholar
• U.S. Department of Transportation. 2015. The Fixing America’s Surface Transportation Act. Accessed April 24, 2017. https://www.transportation.gov/fastact.
   Google Scholar
• Wang, X., and M. Abdel-Aty. 2008. “Modeling Left-Turn Crash Occurrence at Signalized Intersections by Conflicting Patterns.” Accident Analysis & Prevention 40: 76–88. doi: 10.1016/j.aap.2007.04.006
   PubMed Web of Science ®Google Scholar
• Wang, L., M. Abdel-Aty, and J. Lee. 2017. “Safety Analytics for Integrating Crash Frequency and Real-Time Risk Modeling for Expressways.” Accident Analysis & Prevention 104: 58–64. doi: 10.1016/j.aap.2017.04.009
   PubMed Web of Science ®Google Scholar
• Wang, L., M. Abdel-Aty, Q. Shi, and J. Park. 2015. “Real-time Crash Prediction for Expressway 19 Weaving Segments.” Transportation Research Part C: Emerging Technologies 61: 1–10. doi: 10.1016/j.trc.2015.10.008
   Web of Science ®Google Scholar
• Wang, Z., Q. Cai, B. Wu, L. Zheng, and Y. Wang. 2016. “Shockwave-based Queue Estimation Approach for Undersaturated and Oversaturated Signalized Intersections Using Multi-Source Detection Data.” Journal of Intelligent Transportation Systems 21 (3): 1–12.
   Web of Science ®Google Scholar
• Wang, J., and H. Huang. 2016. “Road Network Safety Evaluation Using Bayesian Hierarchical Joint Model.” Accident Analysis & Prevention 90: 152–158. doi: 10.1016/j.aap.2016.02.018
   PubMed Web of Science ®Google Scholar
• Wang, X., J. Yuan, G. G. Schultz, and S. Fang. 2018. “Investigating the Safety Impact of Roadway Network Features of Suburban Arterials in Shanghai.” Accident Analysis & Prevention 113: 137–148. doi: 10.1016/j.aap.2018.01.029
   PubMed Web of Science ®Google Scholar
• Washington, S., I. Van Schalkwyk, S. Mitra, M. Mayer, E. Dumbaugh, and M. Zoll. 2006. NCHRP Report 546: Incorporating Safety into Long-Range Transportation Planning. Washington, DC: Transportation Research Board.
   Google Scholar
• Wong, S. C., N. N. Sze, and Y. C. Li. 2007. “Contributory Factors to Traffic Crashes at Signalized Intersections in Hong Kong.” Accident Analysis & Prevention 39: 1107–1113. doi: 10.1016/j.aap.2007.02.009
   PubMed Web of Science ®Google Scholar
• Wu, Y., M. Abdel-Aty, J. Park, and R. M. Selby. 2018a. “Effects of Real-Time Warning Systems on Driving Under Fog Conditions Using an Empirically Supported Speed Choice Modeling Framework.” Transportation Research Part C: Emerging Technologies 86: 97–110. doi: 10.1016/j.trc.2017.10.025
   Web of Science ®Google Scholar
• Wu, Y., M. Abdel-Aty, J. Park, and R. M. Selby. 2018b. “Effects of Real-Time Warning Systems on Driving Under fog Conditions Using Real-Time Data.” Transportation Research Part C: Emerging Technologies 87: 11–25. doi: 10.1016/j.trc.2017.12.012
   Web of Science ®Google Scholar
• Wu, Y., Y. Ding, M. Abdel-Aty, B. Jia, and X. Yan. 2017. Comparison of proposed countermeasures for dilemma zone at signalized intersections based on cellular automata simulations. Accident Analysis & Prevention.
   Web of Science ®Google Scholar
• Xie, K., K. Ozbay, A. Kurkcu, and H. Yang. 2017. “Analysis of Traffic Crashes Involving Pedestrians Using Big Data: Investigation of Contributing Factors and Identification of Hotspots.” Risk Analysis 37 (8): 1459–1476. doi: 10.1111/risa.12785
   PubMed Web of Science ®Google Scholar
• Xu, P., and H. Huang. 2015. “Modeling Crash Spatial Heterogeneity: Random Parameter Versus Geographically Weighting.” Accident Analysis & Prevention 75: 16–25. doi: 10.1016/j.aap.2014.10.020
   PubMed Web of Science ®Google Scholar
• Yang, Z., M. L. Franz, S. Zhu, J. Mahmoudi, A. Nasri, and L. Zhang. 2018. “Analysis of Washington, DC Taxi Demand Using GPS and Land-use Data.” Journal of Transport Geography 66: 35–44. doi: 10.1016/j.jtrangeo.2017.10.021
   Web of Science ®Google Scholar
• Yasmin, S., and N. Eluru. 2016. “Latent Segmentation Based Count Models: Analysis of Bicycle Safety in Montreal and Toronto.” Accident Analysis & Prevention 95: 157–171. doi: 10.1016/j.aap.2016.07.015
   PubMed Web of Science ®Google Scholar
• Ye, X., R. M. Pendyala, S. P. Washington, K. Konduri, and J. Oh. 2009. “A Simultaneous Equations Model of Crash Frequency by Collision Type for Rural Intersections.” Safety Science 47: 443–452. doi: 10.1016/j.ssci.2008.06.007
   Web of Science ®Google Scholar
• Yu, R., and M. Abdel-Aty. 2013. “Multi-level Bayesian Analyses for Single-and Multi-Vehicle Freeway Crashes.” Accident Analysis & Prevention 58: 97–105. doi: 10.1016/j.aap.2013.04.025
   PubMed Web of Science ®Google Scholar
• Zeng, Q., and H. Huang. 2014. “A Stable and Optimized Neural Network Model for Crash Injury Severity Prediction.” Accident Analysis & Prevention 73: 351–358. doi: 10.1016/j.aap.2014.09.006
   PubMed Web of Science ®Google Scholar
• Zhao, S., and A. J. Khattak. 2017. “Factors Associated with Self-Reported Inattentive Driving at Highway-Rail Grade Crossings.” Accident Analysis & Prevention 109: 113–122. doi: 10.1016/j.aap.2017.10.013
   PubMed Web of Science ®Google Scholar