623
Views
14
CrossRef citations to date
0
Altmetric
ARTICLES

The influence of zonal configurations on macro-level crash modeling

, ORCID Icon, &
Pages 417-434 | Received 13 Oct 2017, Accepted 22 Jun 2018, Published online: 10 Jul 2018

References

  • 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.
  • Abdel-Aty, M., C. Siddiqui, H. Huang, and X. Wang. 2011. “Integrating Trip and Roadway Characteristics to Manage Safety in Traffic Analysis Zones.” Transportation Research Record: Journal of the Transportation Research Board 2213(-1): 20–28. doi: 10.3141/2213-04
  • Aguero-Valverde, J. 2013. “Multivariate Spatial Models of Excess Crash Frequency at Area Level: Case of Costa Rica.” Accident Analysis and Prevention 59: 365–373. doi: 10.1016/j.aap.2013.06.014
  • Aguero-Valverde, J., and P. Jovanis. 2009. “Bayesian Multivariate Poisson Lognormal Models for Crash Severity Modeling and Site Ranking.” Transportation Research Record: Journal of the Transportation Research Board 2136: 82–91. doi: 10.3141/2136-10
  • Amoh-Gyimah, Richard, Meead Saberi, and Majid Sarvi. 2017. “The Effect of Variations in Spatial Units on Unobserved Heterogeneity in Macroscopic Crash Models.” Analytic Methods in Accident Research 13: 28–51. doi: 10.1016/j.amar.2016.11.001
  • Banerjee, S., B. P. Carlin, and A. E. Gelfand. 2014. Hierarchical Modeling and Analysis for Spatial Data. Boca Raton, FL: Chapman and Hall/CRC Press.
  • Bhat, C. R., S. Astroza, and P. S. Lavieri. 2017. “A New Spatial and Flexible Multivariate Random-Coefficients Model for the Analysis of Pedestrian Injury Counts by Severity Level.” Analytic Methods in Accident Research 16: 1–22. doi: 10.1016/j.amar.2017.05.001
  • Blincoe, L., A. Seay, E. Zaloshnja, T. Miller, E. Romano, S. Luchter, and R. Spicer. 2002. “The Economic Impact of Motor Vehicle Crashes 2000.” International Journal of Injury Control & Safety Promotion 21 (2): 222–232.
  • 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
  • Dong, N., H. Huang, P. Xu, Z. Ding, and D. Wang. 2014. “Evaluating Spatial-Proximity Structures in Crash Prediction Models at the Level of Traffic Analysis Zones.” Transportation Research Record: Journal of the Transportation Research Board 2432 (2432): 46–52. doi: 10.3141/2432-06
  • Dong, N., H. Huang, and L. Zheng. 2015. “Support Vector Machine in Crash Prediction at the Level of Traffic Analysis Zones: Assessing the Spatial Proximity Effects.” Accident Analysis and Prevention 82: 192–198. doi: 10.1016/j.aap.2015.05.018
  • El-Basyouny, K., S. Barua, and M. T. Islam. 2014. “Investigation of Time and Weather Effects on Crash Types Using Full Bayesian Multivariate Poisson Lognormal Models.” Accident Analysis and Prevention 73: 91–99. doi: 10.1016/j.aap.2014.08.014
  • El-Basyouny, K., and T. Sayed. 2009. “Collision Prediction Models Using Multivariate Poisson-Lognormal Regression.” Accident Analysis and Prevention 41: 820–828. doi: 10.1016/j.aap.2009.04.005
  • Fotheringham, A. S., C. Brunsdon, and M. E. Charlton. 2002. Geographically Weighted Regression: The Analysis of Spatially Varying Relationship. Chichester: Wiley.
  • Fotheringham, A. S., and D. W. Wong. 1991. “The Modifiable Areal Unit Problem in Multivariate Statistical Analysis.” Environment and Planning A 23: 1025–1044. doi: 10.1068/a231025
  • Gehlke, C. E., and K. Biehl. 1934. “Certain Effects of Grouping upon the Size of the Correlation Coefficient in Census Tract Material.” Journal of the American Statistical Association 29: 169–170.
  • Guo, Y., A. Osama, and T. Sayed. 2018. “A Cross-Comparison of Different Techniques for Modeling Macro-Level Cyclist Crashes.” Accident Analysis and Prevention 113: 38–46. doi: 10.1016/j.aap.2018.01.015
  • Huang, H., and M. Abdel-Aty. 2010. “Multilevel Data and Bayesian Analysis in Traffic Safety.” Accident Analysis and Prevention 42: 1556–1565. doi: 10.1016/j.aap.2010.03.013
  • Huang, H., H. C. Chin, and M. M. Haque. 2009. “Empirical Evaluation of Alternative Approaches in Identifying Crash Hotspots: Naïve Ranking, Empirical Bayes and Full Bayes.” Transportation Research Record 2103: 32–41. doi: 10.3141/2103-05
  • 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 (54): 248–256. doi: 10.1016/j.jtrangeo.2016.06.012
  • Huang, H., H. Zhou, J. Wang, and F. Chang. 2017. “A Multivariate Spatial Model of Crash Frequency by Transportation Modes for Urban Intersections.” Analytic Methods in Accident Research 14: 10–21. doi: 10.1016/j.amar.2017.01.001
  • Ivan, J. N., Z. Deng, and T. Jonsson. 2006. Procedure for allocating zonal attributes to link network in gis environment, Transportation Research Board 85th Annual Meeting.
  • Ladron de Guevara, F., S. Washington, and J. Oh. 2004. “Forecasting Crashes at the Planning Level: Simultaneous Negative Binomial Crash Model Applied in Tucson, Arizona.” Transportation Research Record: Journal of the Transportation Research Board 1897 (1): 191–199. doi: 10.3141/1897-25
  • Lee, J., and M. Abdel-Aty. 2017. “Macro-Level Analysis of Bicycle Safety: Focusing on the Characteristics of Both Crash Location and Residence.” International Journal of Sustainable Transportation (2213), 1–8. doi: 10.1080/15568318.2017.1407973
  • Lee, J., M. Abdel-Aty, and Q. Cai. 2017. “Intersection Crash Prediction Modeling with Macro-Level Data From Various Geographic Units.” Accident Analysis and Prevention 102: 213–226. doi: 10.1016/j.aap.2017.03.009
  • Lee, J., M. Abdel-Aty, and K. Choi. 2014. “Analysis of Residence Characteristics of at-Fault Drivers in Traffic Crashes.” Safety Science 68: 6–13. doi: 10.1016/j.ssci.2014.02.019
  • 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
  • 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 and Prevention 78: 146–154. doi: 10.1016/j.aap.2015.03.003
  • Lee, J., S. Yasmin, N. Eluru, M. Abdel-Aty, and Q. Cai. 2018. “Analysis of Crash Proportion by Vehicle Type at Traffic Analysis Zone Level: a Mixed Fractional Split Multinomial Logit Modeling Approach with Spatial Effects.” Accident Analysis & Prevention 111: 12–22. doi: 10.1016/j.aap.2017.11.017
  • Levine, N., K. E. Kim, and L. H. Nitz. 1995. “Spatial Analysis of Honolulu Motor Vehicle Crashes: II. Zonal Generators.” Accident Analysis and Prevention 27: 675–685. doi: 10.1016/0001-4575(95)00018-U
  • 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.
  • Lunn, D. J., A. Thomas, N. Best, and D. Spiegelhalter. 2000. “WinBUGS – a Bayesian Modelling Framework: Concepts, Structure, and Extensibility.” Statistics and Computing 10: 325–337. doi: 10.1023/A:1008929526011
  • Ma, J., K. M. Kockelman, and P. Damien. 2008. “A Multivariate Poisson-Lognormal Regression Model for Prediction of Crash Counts by Severity, Using Bayesian Methods.” Accident Analysis and Prevention 40: 964–975. doi: 10.1016/j.aap.2007.11.002
  • Ma, Z., H. Zhang, S. I. Chien, J. Wang, and C. Dong. 2017. “Predicting Expressway Crash Frequency Using a Random Effect Negative Binomial Model: a Case Study in China.” Accident Analysis & Prevention 98: 214–222. doi: 10.1016/j.aap.2016.10.012
  • Mannering, F. L., and C. R. Bhat. 2014. “Analytic Methods in Accident Research: Methodological Frontier and Future Directions.” Analytic Methods in Accident Research 1: 1–22. doi: 10.1016/j.amar.2013.09.001
  • Mannering, F. L., V. Shankar, and C. R. Bhat. 2016. “Unobserved Heterogeneity and the Statistical Analysis of Highway Accident Data.” Analytic Methods in Accident Research 11: 1–16. doi: 10.1016/j.amar.2016.04.001
  • Noland, R. B., and M. A. Quddus. 2005. “Congestion and Safety: A Spatial Analysis of London.” Transportation Research Part A: Policy and Practice 39: 737–754.
  • Openshaw, S. 1984. “Ecological Fallacies and the Analysis of Areal Census Data.” Environment and Planning A 16 (1): 17–31.
  • Peters, A., and H. MacDonald. 2004. Unlocking the Census with GIS. ESRI Publication.
  • Pulugurtha, S. S., V. R. Duddu, and Y. Kotagiri. 2013. “Traffic Analysis Zone Level Crash Estimation Models Based on Land use Characteristics.” Accident Analysis and Prevention 50: 678–687. doi: 10.1016/j.aap.2012.06.016
  • Quddus, M. A. 2008. “Modelling Area-Wide Count Outcomes with Spatial Correlation and Heterogeneity: an Analysis of London Crash Data.” Accident Analysis and Prevention 40: 1486–1497. doi: 10.1016/j.aap.2008.03.009
  • Saha, D., P. Alluri, A. Gan, and W. Wu. 2018. “Spatial Analysis of Macro-Level Bicycle Crashes Using the Class of Conditional Autoregressive Models.” Accident Analysis & Prevention 118: 166–177. doi: 10.1016/j.aap.2018.02.014
  • Siddiqui, C., M. Abdel-Aty, and K. Choi. 2012. “Macroscopic Spatial Analysis of Pedestrian and Bicycle Crashes.” Accident Analysis and Prevention 45: 382–391. doi: 10.1016/j.aap.2011.08.003
  • Ukkusuri, S., S. Hasan, and H. Aziz. 2011. “Random Parameter Model Used to Explain Effects of Built-Environment Characteristics on Pedestrian Crash Frequency.” Transportation Research Record: Journal of the Transportation Research Board 2237: 98–106. doi: 10.3141/2237-11
  • Ukkusuri, S., L. F. Miranda-Moreno, G. Ramadurai, and J. Isa-Tavarez. 2012. “The Role of Built Environment on Pedestrian Crash Frequency.” Safety Science 50: 1141–1151. doi: 10.1016/j.ssci.2011.09.012
  • U.S. Census Bureau. 1994. Geographic Areas Reference Manual. U.S. Department of Commerce, Economics and Statistics Administration, and U.S. Census Bureau.
  • Wang, Y., and K. M. Kockelman. 2013. “A Poisson-Lognormal Conditional-Autoregressive Model for Multivariate Spatial Analysis of Pedestrian Crash Counts Across Neighborhoods.” Accident Analysis and Prevention 60: 71–84. doi: 10.1016/j.aap.2013.07.030
  • Wang, C., M. A. Quddus, and S. G. Ison. 2009. “Impact of Traffic Congestion on Road Accidents: a Spatial Analysis of the M25 Motorway in England.” Accident Analysis and Prevention 41: 798–808. doi: 10.1016/j.aap.2009.04.002
  • Wang, C., M. A. Quddus, T. Ryley, M. Enoch, and L. Davison. 2012. Spatial models in transport: a review and assessment of methodological issues, Proceedings of the 91st Annual Meeting of the Transportation Research Board, Washington, DC, USA.
  • Washington, S. P., I. Van Schalkwyk, S. Mitra, M. D. Meyer, E. Dumbaugh, and M. Zoll. 2006. Incorporating Safety into Long-range Transportation Planning. Nchrp Report.
  • Washington, S., M. M. Haque, J. Oh, and D. Lee. 2014. “Applying Quantile Regression for Modeling Equivalent Property Damage Only Crashes to Identify Accident Blackspots.” Accident Analysis and Prevention 66: 136–146. doi: 10.1016/j.aap.2014.01.007
  • Xu, P., and H. Huang. 2015. “Modeling Crash Spatial Heterogeneity: Random Parameter Versus Geographically Weighting.” Accident Analysis and Prevention 75: 16–25. doi: 10.1016/j.aap.2014.10.020
  • Xu, P., H. Huang, N. Dong, and M. Abdel-Aty. 2014. “Sensitivity Analysis in the Context of Regional Safety Modeling: Identifying and Assessing the Modifiable Areal Unit Problem.” Accident Analysis and Prevention 70: 110–120. doi: 10.1016/j.aap.2014.02.012
  • Xu, P., H. Huang, N. Dong, and S. C. Wong. 2017. “Revisiting Crash Spatial Heterogeneity: a Bayesian Spatially Varying Coefficients Approach.” Accident Analysis and Prevention 98: 330–337. doi: 10.1016/j.aap.2016.10.015
  • Yu, R., X. Wang, and M. Abdel-Aty. 2017. “A Hybrid Latent Class Analysis Modeling Approach to Analyze Urban Expressway Crash Risk.” Accident Analysis & Prevention 101: 37–43. doi: 10.1016/j.aap.2017.02.002
  • Zhang, M., and N. Kukadia. 2005. “Metrics of Urban Form and the Modifiable Areal Unit Problem.” Transportation Research Record: Journal of the Transportation Research Board 1902 (1): 71–79. doi: 10.1177/0361198105190200109

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.