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Volumn 15, Issue 2, 2019, Pages 417-434

The influence of zonal configurations on macro-level crash modeling

Author keywords

crash severity; geographical configuration; macro level traffic safety analysis; Modifiable areal unit problem

Indexed keywords

ACCIDENT PREVENTION; HIGHWAY ACCIDENTS;

EID: 85049639389     PISSN: 23249935     EISSN: 23249943     Source Type: Journal    
DOI: 10.1080/23249935.2018.1493550     Document Type: Article
Times cited : (22)

References (56)
  • 3
    • 84880516222 scopus 로고    scopus 로고
    • Multivariate Spatial Models of Excess Crash Frequency at Area Level: Case of Costa Rica
    • 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
    • (2013) Accident Analysis and Prevention , vol.59 , pp. 365-373
    • Aguero-Valverde, J.1
  • 5
    • 85009999743 scopus 로고    scopus 로고
    • The Effect of Variations in Spatial Units on Unobserved Heterogeneity in Macroscopic Crash Models
    • 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
    • (2017) Analytic Methods in Accident Research , vol.13 , pp. 28-51
    • Amoh-Gyimah, R.1    Saberi, M.2    Sarvi, M.3
  • 7
    • 85020280871 scopus 로고    scopus 로고
    • A New Spatial and Flexible Multivariate Random-Coefficients Model for the Analysis of Pedestrian Injury Counts by Severity Level
    • 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
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 1-22
    • Bhat, C.R.1    Astroza, S.2    Lavieri, P.S.3
  • 9
    • 85025691494 scopus 로고    scopus 로고
    • Macro-level Vulnerable Road Users Crash Analysis: a Bayesian Joint Modeling Approach of Frequency and Proportion
    • 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
    • (2017) Accident Analysis & Prevention , vol.107 , pp. 11-19
    • Cai, Q.1    Abdel-Aty, M.2    Lee, J.3
  • 11
    • 84935925848 scopus 로고    scopus 로고
    • Support Vector Machine in Crash Prediction at the Level of Traffic Analysis Zones: Assessing the Spatial Proximity Effects
    • 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
    • (2015) Accident Analysis and Prevention , vol.82 , pp. 192-198
    • Dong, N.1    Huang, H.2    Zheng, L.3
  • 12
    • 84907349852 scopus 로고    scopus 로고
    • Investigation of Time and Weather Effects on Crash Types Using Full Bayesian Multivariate Poisson Lognormal Models
    • 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
    • (2014) Accident Analysis and Prevention , vol.73 , pp. 91-99
    • El-Basyouny, K.1    Barua, S.2    Islam, M.T.3
  • 13
    • 67349231302 scopus 로고    scopus 로고
    • Collision Prediction Models Using Multivariate Poisson-Lognormal Regression
    • 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
    • (2009) Accident Analysis and Prevention , vol.41 , pp. 820-828
    • El-Basyouny, K.1    Sayed, T.2
  • 15
    • 0026303568 scopus 로고
    • The Modifiable Areal Unit Problem in Multivariate Statistical Analysis
    • 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
    • (1991) Environment and Planning A , vol.23 , pp. 1025-1044
    • Fotheringham, A.S.1    Wong, D.W.2
  • 16
    • 0001447426 scopus 로고
    • Certain Effects of Grouping upon the Size of the Correlation Coefficient in Census Tract Material
    • 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.
    • (1934) Journal of the American Statistical Association , vol.29 , pp. 169-170
    • Gehlke, C.E.1    Biehl, K.2
  • 17
    • 85041410954 scopus 로고    scopus 로고
    • A Cross-Comparison of Different Techniques for Modeling Macro-Level Cyclist Crashes
    • 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
    • (2018) Accident Analysis and Prevention , vol.113 , pp. 38-46
    • Guo, Y.1    Osama, A.2    Sayed, T.3
  • 18
    • 77955984221 scopus 로고    scopus 로고
    • Multilevel Data and Bayesian Analysis in Traffic Safety
    • 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
    • (2010) Accident Analysis and Prevention , vol.42 , pp. 1556-1565
    • Huang, H.1    Abdel-Aty, M.2
  • 19
    • 76349096452 scopus 로고    scopus 로고
    • Empirical Evaluation of Alternative Approaches in Identifying Crash Hotspots: Naïve Ranking, Empirical Bayes and Full Bayes
    • 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
    • (2009) Transportation Research Record , vol.2103 , pp. 32-41
    • Huang, H.1    Chin, H.C.2    Haque, M.M.3
  • 20
    • 84975470957 scopus 로고    scopus 로고
    • Macro and Micro Models for Zonal Crash Prediction with Application in hot Zones Identification
    • 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
    • (2016) Journal of Transport Geography , vol.54 , Issue.54 , pp. 248-256
    • Huang, H.1    Song, B.2    Xu, P.3    Zeng, Q.4    Lee, J.5    Abdel-Aty, M.6
  • 21
    • 85009872704 scopus 로고    scopus 로고
    • A Multivariate Spatial Model of Crash Frequency by Transportation Modes for Urban Intersections
    • 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
    • (2017) Analytic Methods in Accident Research , vol.14 , pp. 10-21
    • Huang, H.1    Zhou, H.2    Wang, J.3    Chang, F.4
  • 22
    • 85075487734 scopus 로고    scopus 로고
    • Procedure for allocating zonal attributes to link network gis environment, Transportation Research Board 85th Annual Meeting
    • 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.
    • (2006)
    • Ivan, J.N.1    Deng, Z.2    Jonsson, T.3
  • 24
    • 85037988893 scopus 로고    scopus 로고
    • Macro-Level Analysis of Bicycle Safety: Focusing on the Characteristics of Both Crash Location and Residence
    • 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
    • (2017) International Journal of Sustainable Transportation , Issue.2213 , pp. 1-8
    • Lee, J.1    Abdel-Aty, M.2
  • 25
    • 85015797253 scopus 로고    scopus 로고
    • Intersection Crash Prediction Modeling with Macro-Level Data From Various Geographic Units
    • 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
    • (2017) Accident Analysis and Prevention , vol.102 , pp. 213-226
    • Lee, J.1    Abdel-Aty, M.2    Cai, Q.3
  • 26
    • 84896045582 scopus 로고    scopus 로고
    • Analysis of Residence Characteristics of at-Fault Drivers in Traffic Crashes
    • 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
    • (2014) Safety Science , vol.68 , pp. 6-13
    • Lee, J.1    Abdel-Aty, M.2    Choi, K.3
  • 27
    • 84901307367 scopus 로고    scopus 로고
    • Development of Zone System for Macro-Level Traffic Safety Analysis
    • 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
    • (2014) Journal of Transport Geography , vol.38 , pp. 13-21
    • Lee, J.1    Abdel-Aty, M.2    Jiang, X.3
  • 28
    • 84925012514 scopus 로고    scopus 로고
    • Multivariate Crash Modeling for Motor Vehicle and non-Motorized Modes at the Macroscopic Level
    • 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
    • (2015) Accident Analysis and Prevention , vol.78 , pp. 146-154
    • Lee, J.1    Abdel-Aty, M.2    Jiang, X.3
  • 29
    • 85034418352 scopus 로고    scopus 로고
    • Analysis of Crash Proportion by Vehicle Type at Traffic Analysis Zone Level: a Mixed Fractional Split Multinomial Logit Modeling Approach with Spatial Effects
    • 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
    • (2018) Accident Analysis & Prevention , vol.111 , pp. 12-22
    • Lee, J.1    Yasmin, S.2    Eluru, N.3    Abdel-Aty, M.4    Cai, Q.5
  • 30
    • 0029385232 scopus 로고
    • Spatial Analysis of Honolulu Motor Vehicle Crashes: II. Zonal Generators
    • 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
    • (1995) Accident Analysis and Prevention , vol.27 , pp. 675-685
    • Levine, N.1    Kim, K.E.2    Nitz, L.H.3
  • 31
    • 77952089434 scopus 로고    scopus 로고
    • The Statistical Analysis of Crash-Frequency Data: a Review and Assessment of Methodological Alternatives
    • 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.
    • (2010) Transportation Research Part A: Policy and Practice , vol.44 , pp. 291-305
    • Lord, D.1    Mannering, F.2
  • 32
    • 0006407254 scopus 로고    scopus 로고
    • WinBUGS–a Bayesian Modelling Framework: Concepts, Structure, and Extensibility
    • 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
    • (2000) Statistics and Computing , vol.10 , pp. 325-337
    • Lunn, D.J.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 33
    • 42749088635 scopus 로고    scopus 로고
    • A Multivariate Poisson-Lognormal Regression Model for Prediction of Crash Counts by Severity, Using Bayesian Methods
    • 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
    • (2008) Accident Analysis and Prevention , vol.40 , pp. 964-975
    • Ma, J.1    Kockelman, K.M.2    Damien, P.3
  • 34
    • 84994051939 scopus 로고    scopus 로고
    • Predicting Expressway Crash Frequency Using a Random Effect Negative Binomial Model: a Case Study in China
    • 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
    • (2017) Accident Analysis & Prevention , vol.98 , pp. 214-222
    • Ma, Z.1    Zhang, H.2    Chien, S.I.3    Wang, J.4    Dong, C.5
  • 35
    • 84893489445 scopus 로고    scopus 로고
    • Analytic Methods in Accident Research: Methodological Frontier and Future Directions
    • 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
    • (2014) Analytic Methods in Accident Research , vol.1 , pp. 1-22
    • Mannering, F.L.1    Bhat, C.R.2
  • 36
    • 84964907242 scopus 로고    scopus 로고
    • Unobserved Heterogeneity and the Statistical Analysis of Highway Accident Data
    • 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
    • (2016) Analytic Methods in Accident Research , vol.11 , pp. 1-16
    • Mannering, F.L.1    Shankar, V.2    Bhat, C.R.3
  • 38
    • 0021118050 scopus 로고
    • Ecological Fallacies and the Analysis of Areal Census Data
    • Openshaw, S., 1984. “Ecological Fallacies and the Analysis of Areal Census Data.” Environment and Planning A 16 (1): 17–31.
    • (1984) Environment and Planning A , vol.16 , Issue.1 , pp. 17-31
    • Openshaw, S.1
  • 40
    • 84870290120 scopus 로고    scopus 로고
    • Traffic Analysis Zone Level Crash Estimation Models Based on Land use Characteristics
    • 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
    • (2013) Accident Analysis and Prevention , vol.50 , pp. 678-687
    • Pulugurtha, S.S.1    Duddu, V.R.2    Kotagiri, Y.3
  • 41
    • 46149122279 scopus 로고    scopus 로고
    • Modelling Area-Wide Count Outcomes with Spatial Correlation and Heterogeneity: an Analysis of London Crash Data
    • 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
    • (2008) Accident Analysis and Prevention , vol.40 , pp. 1486-1497
    • Quddus, M.A.1
  • 42
    • 85042290643 scopus 로고    scopus 로고
    • Spatial Analysis of Macro-Level Bicycle Crashes Using the Class of Conditional Autoregressive Models
    • 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
    • (2018) Accident Analysis & Prevention , vol.118 , pp. 166-177
    • Saha, D.1    Alluri, P.2    Gan, A.3    Wu, W.4
  • 43
    • 84856105981 scopus 로고    scopus 로고
    • Macroscopic Spatial Analysis of Pedestrian and Bicycle Crashes
    • 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
    • (2012) Accident Analysis and Prevention , vol.45 , pp. 382-391
    • Siddiqui, C.1    Abdel-Aty, M.2    Choi, K.3
  • 44
    • 84856670613 scopus 로고    scopus 로고
    • Random Parameter Model Used to Explain Effects of Built-Environment Characteristics on Pedestrian Crash Frequency
    • 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
    • (2011) Transportation Research Record: Journal of the Transportation Research Board , vol.2237 , pp. 98-106
    • Ukkusuri, S.1    Hasan, S.2    Aziz, H.3
  • 45
    • 84856459834 scopus 로고    scopus 로고
    • The Role of Built Environment on Pedestrian Crash Frequency
    • 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
    • (2012) Safety Science , vol.50 , pp. 1141-1151
    • Ukkusuri, S.1    Miranda-Moreno, L.F.2    Ramadurai, G.3    Isa-Tavarez, J.4
  • 46
    • 0003726118 scopus 로고
    • U.S. Department of Commerce, Economics and Statistics Administration, and U.S. Census Bureau
    • U.S. Census Bureau. 1994. Geographic Areas Reference Manual. U.S. Department of Commerce, Economics and Statistics Administration, and U.S. Census Bureau.
    • (1994) Geographic Areas Reference Manual
  • 47
    • 84883875745 scopus 로고    scopus 로고
    • A Poisson-Lognormal Conditional-Autoregressive Model for Multivariate Spatial Analysis of Pedestrian Crash Counts Across Neighborhoods
    • 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
    • (2013) Accident Analysis and Prevention , vol.60 , pp. 71-84
    • Wang, Y.1    Kockelman, K.M.2
  • 48
    • 67349093808 scopus 로고    scopus 로고
    • Impact of Traffic Congestion on Road Accidents: a Spatial Analysis of the M25 Motorway in England
    • 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
    • (2009) Accident Analysis and Prevention , vol.41 , pp. 798-808
    • Wang, C.1    Quddus, M.A.2    Ison, S.G.3
  • 49
    • 85075489431 scopus 로고    scopus 로고
    • Spatial models transport: a review and assessment of methodological issues, Proceedings of the 91st Annual Meeting of the Transportation Research Board, Washington, DC, USA
    • 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.
    • (2012)
    • Wang, C.1    Quddus, M.A.2    Ryley, T.3    Enoch, M.4    Davison, L.5
  • 51
    • 84894139522 scopus 로고    scopus 로고
    • Applying Quantile Regression for Modeling Equivalent Property Damage Only Crashes to Identify Accident Blackspots
    • 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
    • (2014) Accident Analysis and Prevention , vol.66 , pp. 136-146
    • Washington, S.1    Haque, M.M.2    Oh, J.3    Lee, D.4
  • 52
    • 84911901180 scopus 로고    scopus 로고
    • Modeling Crash Spatial Heterogeneity: Random Parameter Versus Geographically Weighting
    • 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
    • (2015) Accident Analysis and Prevention , vol.75 , pp. 16-25
    • Xu, P.1    Huang, H.2
  • 53
    • 84897972964 scopus 로고    scopus 로고
    • Sensitivity Analysis in the Context of Regional Safety Modeling: Identifying and Assessing the Modifiable Areal Unit Problem
    • 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
    • (2014) Accident Analysis and Prevention , vol.70 , pp. 110-120
    • Xu, P.1    Huang, H.2    Dong, N.3    Abdel-Aty, M.4
  • 54
    • 84994357592 scopus 로고    scopus 로고
    • Revisiting Crash Spatial Heterogeneity: a Bayesian Spatially Varying Coefficients Approach
    • 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
    • (2017) Accident Analysis and Prevention , vol.98 , pp. 330-337
    • Xu, P.1    Huang, H.2    Dong, N.3    Wong, S.C.4
  • 55
    • 85011879617 scopus 로고    scopus 로고
    • A Hybrid Latent Class Analysis Modeling Approach to Analyze Urban Expressway Crash Risk
    • 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
    • (2017) Accident Analysis & Prevention , vol.101 , pp. 37-43
    • Yu, R.1    Wang, X.2    Abdel-Aty, M.3


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