Development of zone system for macro-level traffic safety analysis

Journal of Transport Geography

Volumn 38, Issue , 2014, Pages 13-21

  Lee, Jaeyoung ^a   Abdel Aty, Mohamed ^a   Jiang, Ximiao ^b  

^a University of Central Florida   (United States)

^b FEDERAL HIGHWAY ADMINISTRATION   (United States)

Author keywords

Bayesian Poisson Log normal model; Macro level analysis; MAUP; Regionalization; Traffic safety analysis zones; Transportation safety planning

Indexed keywords

BAYESIAN ANALYSIS; REGIONALIZATION; TRAFFIC MANAGEMENT; TRANSPORTATION PLANNING; TRANSPORTATION SAFETY;

EID: 84901307367     PISSN: 09666923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtrangeo.2014.04.018     Document Type: Article

References (40)

1. Abdel-Aty M., Siddiqui C., Huang H., Wang X. Integrating trip and roadway characteristics to manage safety in traffic analysis zones. Transport. Res. Record: J. Transport. Res. Board 2011, 2213:20-28.
2. Abdel-Aty M., Lee J., Siddiqui C., Choi K. Geographical unit based analysis in the context of transportation safety planning. Transport. Res. Part A: Policy Pract. 2013, 49:62-75.
3. Aguero-Valverde J., Jovanis P.P. Spatial analysis of fatal and injury crashes in Pennsylvania. Accid. Anal. Prev. 2006, 38(3):618-625.
4. Aguero-Valverde J., Jovanis P.P. Analysis of road crash frequency with spatial models. Transport. Res. Record: J. Transport. Res. Board 2008, 2061:55-63.
5. Aguero-Valverde J., Jovanis P.P. Bayesian multivariate Poisson lognormal models for crash severity modeling and site ranking. Transport. Res. Record: J. Transport. Res. Board 2009, 2136:82-91.
6. Baass K.G. Design of zonal systems for aggregate transportation planning models. Transp. Res. Rec. 1980, 807:1-6.
7. Baker S.P., Braver E.R., Chen L.H., Pantula J.F., Massie D. Motor vehicle occupant deaths among Hispanic and black children and teenagers. Arch. Pediatr. Adolesc. Med. 1998, 152(12):1209-1212.
8. Clark D.E. Effect of population density on mortality after motor vehicle collision. Accid. Anal. Prev. 2003, 35:965-971.
9. El-Basyouny K., Sayed T. Collision prediction models using multivariate Poisson-lognormal regression. Accid. Anal. Prev. 2009, 41(4):820-828.
10. El-Basyouny K., Sayed T. Application of generalized link functions in developing accident prediction models. Saf. Sci. 2010, 48(3):410-416.
11. Federal Highway Administration, 2005. SAFETEA-LU: Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users. U.S. Department of Transportation, Washington, DC.
12. Gehlke C.E., Biehl K. Certain effects of grouping upon the size of the correlation coefficient in census tract material. J. Am. Stat. Assoc. 1934, 29(185A):169-170.
13. Guevara F.L., Washington S.P., Oh J. Forecasting crashes at the planning level: simultaneous negative binomial crash model applied in Tucson, Arizona. Transport. Res. Record: J. Transport. Res. Board 2004, 1897:191-199.
14. Guo D. Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP). Int. J. Geograph. Inform. Sci. 2008, 22(7):801-823.
15. Hadayeghi A., Shalaby A.S., Persaud B.N. Macrolevel accident prediction models for evaluating safety of urban transportation systems. Transport. Res. Record: J. Transport. Res. Board 2003, 1840:87-95.
16. Hadayeghi A., Shalaby A.S., Persaud B.N., Cheung C. Temporal transferability and updating of zonal level accident prediction models. Accid. Anal. Prev. 2006, 38(3):579-589.
17. Harper J.S., Marine W.M., Garrett C.J., Lezotte D., Lowenstein S.R. Motor vehicle crash fatalities: a comparison of Hispanic and non-Hispanic motorists in Colorado. Ann. Emerg. Med. 2000, 36(6):589-596.
18. Huang H., Abdel-Aty M.A., Darwiche A.L. County-level crash risks analysis in Florida: Bayesian spatial modeling. Transport. Res. Rec. 2010, 2148:27-37.
19. LaScala E.A., Gerber D., Gruenewald P.J. Demographic and environmental correlates of pedestrian injury collisions: a spatial analysis. Accid. Anal. Prev. 2000, 32(5):651-658.
20. Lawson A.B., Browne W.J., Rodeiro C.L.V. Disease Mapping with WinBUGS and MLwiN 2003, John Wiley & Sons, Chichester, England.
21. Levine N., Kim K.E., Nitz L.H. Spatial analysis of Honolulu motor vehicle crashes: II. Zonal generators. Accid. Anal. Prevent. 1995, 27(5):675-685.
22. Lord D., Mannering F. The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transport. Res. Part A: Policy Pract. 2010, 44(5):291-305.
23. Ma Jianming, Kockelman K.M., Damien P. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. Accid. Anal. Prev. 2008, 40(3):964-975.
24. Martinez R., Veloz R.A. A challenge in injury prevention-the hispanic population. Acad. Emerg. Med. 1996, 3(3):194-197.
25. Meyer M.D., Miller E.J. Urban Transportation Planning: A Decision-oriented Approach 2001, McGraw-Hill, New York. 2nd ed.
26. Ng K., Hung W., Wong W. An algorithm for assessing the risk of traffic accident. J. Safety Res. 2002, 33(3):387-410.
27. Noland R.B. Traffic fatalities and injuries: the effect of changes in infrastructure and other trends. Accid. Anal. Prev. 2003, 35(4):599-611.
28. Openshaw S. Ecological fallacies and the analysis of areal census data. Environ. Plan. A 1984, 16(1):17-31.
29. O'Sullivan D., Unwin D.J. Geographic Information Analysis 2003, John Wiley & Sons, Hoboken, New Jersey.
30. Quddus M.A. Modelling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data. Accid. Anal. Prev. 2008, 40(4):1486-1497.
31. Root E.D. Moving neighborhoods and health research forward: using geographic methods to examine the role of spatial scale in neighborhood effects on health. Ann. Assoc. Am. Geogr. 2012, 102(5):986-995.
32. Root E.D., Meyer R.E., Emch M. Socioeconomic context and gastroschisis: exploring associations at various geographic scales. Soc. Sci. Med. 2011, 72(4):625-633.
33. Siddiqui C., Abdel-Aty M. Nature of modeling boundary pedestrian crashes at zones. Transport. Res. Record: J. Transport. Res. Board 2012, 2299:31-40.
34. Siddiqui C., Abdel-Aty M., Choi K. Macroscopic spatial analysis of pedestrian and bicycle crashes. Accid. Anal. Prev. 2012, 45:382-391.
35. Spiegelhalter D.J., Best N.G., Carlin B.P., Van Der Linde A. Bayesian measures of model complexity and fit. J. Roy. Stat. Soc. 2002, 64(4):583-639.
36. Stamatiadis N., Puccini G. Socioeconomic descriptors of fatal crash rates in the Southeast USA. Injury Contr. Safety Promot. 2000, 7(3):165-173.
37. Tighe S., Li N., Falls L.C., Haas R. Incorporating road safety into pavement management. Transport. Res. Record: J. Transport. Res. Board 2000, 1699(1):1-10.
38. U.S. Census Bureau, 2010. 2010 Census Traffic Analysis Zone Program MAF/TIGER Partnership Software Participant Guidelines. U.S. Department of Commerce, Washington, DC.
39. Viegas J.M., Martinez L.M., Silva E.A. Effects of the modifiable areal unit problem on the delineation of traffic analysis zones. Environ. Plan. B: Plan. Design 2009, 36(4):625-643.
40. Zhang M., Kukadia N. Metrics of urban form and the modifiable areal unit problem. Transport. Res. Record: J. Transport. Res. Board 2005, 1902:71-79.