New methods to identify and rank high pedestrian crash zones: An illustration

Accident Analysis and Prevention

Volumn 39, Issue 4, 2007, Pages 800-811

  Pulugurtha, Srinivas S ^a   Krishnakumar, Vanjeeswaran K ^b   Nambisan, Shashi S ^c  

^a University of North Carolina at Charlotte   (United States)

^b The Louis Berger Group Inc   (United States)

^c IOWA STATE UNIVERSITY   (United States)

Author keywords

Crash; GIS; Pedestrian; Rank; Safety; Zone

Indexed keywords

CRASHWORTHINESS; GEOGRAPHIC INFORMATION SYSTEMS; MAPS; ROADS AND STREETS;

CRASH ZONES; GEOCODING; PEDESTRIAN CRASH ZONES; SMOOTH DENSITY SURFACE;

PEDESTRIAN SAFETY;

ARABIDOPSIS PROTEIN; GIS PROTEIN, ARABIDOPSIS; TRANSCRIPTION FACTOR; UNCLASSIFIED DRUG;

ALGORITHM; ARTICLE; CITY PLANNING; ENVIRONMENTAL PLANNING; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INJURY; RISK ASSESSMENT; TRAFFIC ACCIDENT; WALKING;

ACCIDENTS, TRAFFIC; ALGORITHMS; ARABIDOPSIS PROTEINS; CITY PLANNING; ENVIRONMENT DESIGN; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; RISK ASSESSMENT; TRANSCRIPTION FACTORS; WALKING;

EID: 34247471082     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2006.12.001     Document Type: Article

References (22)

1. Andaluz D., Robers T., and Siddall S. GIS Add: a new dimension to crash analysis. J. Urban Regional Inf. Syst. Assoc. 9 1 (1997) 56-59
2. Braddock M., Lapidus G., Cromley E., Cromley R., Burke G., and Banco L. Using a Geographic Information System to understand child pedestrian injury. Am. J. Public Health 84 7 (1994) 1158-1161
3. CTRE, 2002. Evaluation of the Iowa DOT's Safety Improvement Candidate List Process. Prepared by the Iowa State University, Center for Transportation Research and Education for the Iowa State Department of Transportation, Report No.: CTRE Project 00-74. Ames, IA.
4. ESRI. ArcMap Documentation-Version 8.2 (2002), Environmental Scientific and Research Institute, Inc., Redlands, CA
5. ESRI. Arc/Info Documentation-Version 8.2 (2002), Environmental Scientific and Research Institute, Inc., Redlands, CA
6. FHWA. GIS Tools for Improving Pedestrian & Bicycle Safety. TechBrief (2000), Federal Highway Administration, Washington, DC
7. HSRC. Pedestrians and Drivers are Surveyed in New Study to Identify Problematic Locations on College Campus. Directions, No. 3 vol. 6 (2001), University of North Carolina, Chapel Hill pp. 10-11
8. Kim K., Takeyama D., and Nitz L. Moped safety in Honolulu Hawaii. J. Saf. Res. 26 3 (1995) 177-185
9. Layton, Robert, D., 1996. An Evaluation of the Safety Priority Index System. Traffic Management Section. Oregon Department of Transportation, December, as cited in CTRE, 2002. Evaluation of the Iowa DOT's Safety Improvement Candidate List Process. Prepared by the Iowa State University, Center for Transportation Research and Education for the Iowa State Department of Transportation, Report No.: CTRE Project 00-74. Ames, IA.
10. McMillen, and Robert D. Statistical Evaluation in Traffic Safety Studies, Informational Report (1999), Institute of Transportation Engineers, Washington, DC
11. NHTSA, 1998a. National Highway Traffic Safety Administration. Zone Guide for Pedestrian Safety Shows How to Make Systematic Improvements. Traffic Tech, Issue 181, Report No.: HS-042 731. Washington, DC.
12. NHTSA, 1998b. National Highway Traffic Safety Administration. Field Test of a Safety Zone Program for Older Pedestrians. Traffic Tech, Issue 174. Washington, DC.
13. NHTSA. National Highway Traffic Safety Administration. Statistical Methods in Highway Safety Analysis. A Synthesis of Highway Practice (2001), Transportation Research Board, National Research Council, Washington, DC NCHRP Synthesis 295
14. Pulugurtha, S.S., Nambisan, S.S., 2002. Pedestrian Safety Engineering and Intelligent Transportation System-based Countermeasures Program for Reducing Pedestrian Fatalities, Injuries, Conflicts, and Other Surrogate Measures. Phase 1 Technical Report Submitted to Federal Highway Administration and United States DOT, Transportation Research Center, University of Nevada, Las Vegas, August.
15. Pulugurtha S.S., and Nambisan S.S. A methodology to identify high pedestrian crash locations: an illustration using the Las Vegas Metro Area. Proceedings of the 82nd Annual Transportation Research Board Meeting. Washington, DC (2003) CD-ROM
16. Pulugurtha S.S., Nambisan S.S., Vasudevan V., and Wongchavalidkul N. Identification of high pedestrian crash sites and selection of countermeasures for the Las Vegas Metropolitan Area. American Society of Civil Engineering Conference Proceedings of the Eighth International Conference on Applications of Advanced Technologies in Transportation. Beijing, China, May 26-28 (2004) 115-119
17. Roche J. Geographic Information Systems-based crash data analysis and the benefits to traffic safety. Proceedings of the Transportation Scholars Conference. Center for Transportation Research and Education, Iowa State University, Ames (2000) 85-94
18. Schneider, R.J., Khattak, A.J., Zegeer, C.V., 2001. Method of Improving Pedestrian Safety Proactively with Geographic Information Systems: Example from a College Campus. Transportation Research Record # 1773, Journal of the Transportation Research Board, National Research Council, National Academy Press, Washington, DC, pp. 97-107.
19. SEMCOG. SEMCOG Traffic Safety Manual (1997), Southeast Michigan Council of Government (SEMCOG), Detroit, MI. http://www.semcog.org/TranPlan/TrafficSafety/assets/Safety_Manual.pdf http://www.semcog.org/TranPlan/TrafficSafety/assets/Safety_Manual.pdf
20. Silverman B.W. Density Estimation for Statistics and Data Analysis (1986), Chapman and Hall Ltd., New York, NY
21. Smith R.C., Harkey D.L., and Harris B. Implementation of GIS-based Highway Safety Analyses: Bridging the Gap (2001), GIS/Trans, Limited, Highway Safety Research Center at University of North Carolina, Chapel Hill and Federal Highway Administration, Washington, DC
22. Ziari H., and Khabiri M.M. Applied GIS software for improving pedestrian & bicycle safety. Transport: J. Vilnius Gediminas Tech. Univ. Lithuanian Acad. Sci. 20 4 (2005) 160-164