Preliminary Investigation of the Effectiveness of High-Visibility Crosswalks on Pedestrian Safety Using Crash Surrogates

Transportation Research Record

Volumn 2659, Issue 1, 2017, Pages 182-191

  Sarwar, M Tawfiq ^a   Fountas, Grigorios ^b   Bentley, Courtney ^b   Anastasopoulos, Panagiotis C ^c   Blatt, Alan ^d   Pierowicz, John ^d   Majka, Kevin ^d   Limoges, Robert ^e  

^a Federal Highway Administration Virginia Division   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c State University of New York   (United States)

^d CUBRC   (United States)

^e New York State Department of Transportation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; CROSSWALKS; PEDESTRIAN SAFETY; REGRESSION ANALYSIS;

BEHAVIOR MODIFICATIONS; CRASH SURROGATES; DRIVER'S BEHAVIOR; DRIVING BEHAVIOUR; LINEAR REGRESSION MODELLING; MIXED LOGIT; NATURALISTIC DRIVING STUDIES; RANDOM PARAMETERS; SPEED ACCELERATIONS; TEST SITE;

VISIBILITY;

EID: 85045688507     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2659-20     Document Type: Article

References (54)

1. NHTSA, 2015. Traffic Safety Facts, 2013 Data: Pedestrians. DOT HS 812 124. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812124. Accessed July 18, 2016.
2. Centers for Disease Control and Prevention, 2015. Web-Based Injury Statistics Query and Reporting System (WISQARS). http://www.cdc.gov/injury/wisqars/index.html. Accessed July 18, 2016.
3. New York State Highway Safety Strategic Plan FFY 2015. www.nhtsa.gov/links/StateDocs/FY15/FY15HSPs/NY_FY15HSP.pdf. Accessed July 18, 2016.
4. Zegeer C. V., Steward J. R., Huang H. H., Lagerwey P. A., Feaganes J., and Campbell B. J.. Safety Effects of Marked Versus Unmarked Crosswalks at Uncontrolled Locations. FHWA-HRT-04-100. FHWA, U.S. Department of Transportation, 2005.
5. Aziz H. A., Ukkusuri S. V., and Hasan S.. Exploring the Determinants of Pedestrian–Vehicle Crash Severity in New York City. Accident Analysis and Prevention, Vol. 50, 2013, pp. 1298–1309. https://doi.org/10.1016/j.aap.2012.09.034.
6. Haleem K., Alluri P., and Gan A.. Analyzing Pedestrian Crash Injury Severity at Signalized and Non-Signalized Locations. Accident Analysis and Prevention, Vol. 81, 2015, pp. 14–23. https://doi.org/10.1016/j.aap.2015.04.025.
7. Olszewski P., Szagala P., Wolański M., and Zielińska A.. Pedestrian Fatality Risk in Accidents at Unsignalized Zebra Crosswalks in Poland. Accident Analysis and Prevention, Vol. 84, 2015, pp. 83–91. https://doi.org/10.1016/j.aap.2015.08.008.
8. Papadimitriou E., Yannis G., and Golias J.. A Critical Assessment of Pedestrian Behaviour Models. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 12, No. 3, 2009, pp. 242–255. https://doi.org/10.1016/j.trf.2008.12.004.
9. Mitman M. F., Cooper D., and DuBose B.. Driver and Pedestrian Behavior at Uncontrolled Crosswalks in Tahoe Basin Recreation Area of California. Transportation Research Record: Journal of the Transportation Research Board, No. 2198, 2010, pp. 23–31. https://doi.org/10.3141/2198-04.
10. Tefft B. C., Impact Speed and a Pedestrian’s Risk of Severe Injury or Death. Accident Analysis and Prevention, Vol. 50, 2013, pp. 871–878. https://doi.org/10.1016/j.aap.2012.07.022.
11. Kröyer H. R. G., Jonsson T., and Várhelyi A.. Relative Fatality Risk Curve to Describe the Effect of Change in the Impact Speed on Fatality Risk of Pedestrians Struck by a Motor Vehicle. Accident Analysis and Prevention, Vol. 62, 2014, pp. 143–152. https://doi.org/10.1016/j.aap.2013.09.007.
12. Jurecki R. S., and Stanćzyk T. L.. Driver Reaction Time to Lateral Entering Pedestrian in a Simulated Crash Traffic Situation. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 27, 2014, pp. 22–36. https://doi.org/10.1016/j.trf.2014.08.006.
13. McGrane A., and Mitman M.. An Overview and Recommendations of High-Visibility Crosswalk Marking Styles. University of North Carolina, Highway Safety Research Center, Pedestrian and Bicycle Information, Chapel Hill, 2013. http://www.pedbikeinfo.org/cms/downloads/PBIC_WhitePaper_Crosswalks.pdf. Accessed July 19, 2016.
14. Dougald L. E., Effectiveness of a Rectangular Rapid-Flashing Beacon at a Midblock Crosswalk on a High-Speed Urban Collector. Transportation Research Record: Journal of the Transportation Research Board, No. 2562, 2016, pp. 36–44. https://dx.doi.org/10.3141/2562-05.
15. Knoblauch R. L., and Raymond P. D.. The Effect of Crosswalk Markings on Vehicle Speeds in Maryland, Virginia, and Arizona. FHWA-RD-00-101, FHWA, U.S. Department of Transportation, 2000.
16. Knoblauch R. L., Nitzburg M., and Seifert R. F.. Pedestrian Crosswalk Case Studies: Sacramento, California; Richmond, Virginia; Buffalo, New York; Stillwater, Minnesota. FHA-RD-00-103. FHWA, U.S. Department of Transportation, 2001.
17. Mead J., Zeeger C., and Bushell M.. Evaluation of Pedestrian-Related Roadway Measures: A Summary of Available Research. DTFH61-11-H-00024. University of North Carolina at Chapel Hill and FHWA, U.S. Department of Transportation, 2014. http://www.pedbikeinfo.org/cms/downloads/PedestrianLitReview_April2014.pdf. Accessed June 16, 2016.
18. Guo Y., Liu P., Liang Q., and Wang W.. Effects of Parallelogram-Shaped Pavement Markings on Vehicle Speed and Safety of Pedestrian Crosswalks on Urban Roads in China. Accident Analysis and Prevention, Vol. 95, 2016, pp. 438–447. http://dx.doi.org/https://doi.org/10.1016/j.aap.2015.07.001.
19. Gómez R. A., Samuel S., Romoser M. R., Gerardino L. R., Knodler M., Collura J., and Fisher D. L.. A Driving Simulator Evaluation of Road Markings and Symbolic Signs on Vehicle-Pedestrian Conflicts. Presented at Road Safety on Four Continents: 16th International Conference, Beijing, 2013.
20. Samuel S., Romoser M. R. E., Gerardino L. R., Hamid M., Gómez R. A., Knodler M. A., Jr., Collura J., and Fisher D. L.. Effect of Advance Yield Markings and Symbolic Signs on Vehicle–Pedestrian Conflicts: Field Evaluation. Transportation Research Record: Journal of the Transportation Research Board, No. 2393, 2013, pp. 139–146. https://doi.org/10.3141/2393-16.
21. SHRP 2. Accelerating Solutions for Highway Safety, Renewal, Reliability, and Capacity. http://www.trb.org/AboutTRB/SHRP2.aspx. Accessed July 16, 2016.
22. Anderson I. B., and Krammes R. A.. Speed Reduction as a Surrogate for Accident Experience at Horizontal Curves on Rural Two-Lane Highways. Transportation Research Record: Journal of the Transportation Research Board, No. 1701, 2000, pp. 86–94. https://dx.doi.org/10.3141/1701-11.
23. Hadi M. A., and Thakkar J.. Speed Differential as a Measure to Evaluate the Need for Right-Turn Deceleration Lanes at Unsignalized Intersections. Transportation Research Record: Journal of the Transportation Research Board, No. 1847, 2003, pp. 58–65. https://dx.doi.org/10.3141/1847-08.
24. Guo F., Klauer S. G., Hankey J. M., and Dingus T. A.. Near Crashes as Crash Surrogate for Naturalistic Driving Studies. Transportation Research Record: Journal of the Transportation Research Board, No. 2147, 2010, pp. 66–74. https://doi.org/10.3141/2147-09.
25. Tarko A. P., Anastasopoulos P. C., and Pérez-Zuriaga A. M.. Can Education and Enforcement Affect Behavior of Car and Truck Drivers on Urban Freeways? Presented at 3rd International Conference on Road Safety and Simulation, Indianapolis, Ind., 2011.
26. Mohamed M. G., and Saunier N.. Motion Prediction Methods for Surrogate Safety Analysis. Transportation Research Record: Journal of the Transportation Research Board, No. 2386, 2013, pp. 168–178. https://doi.org/10.3141/2386-19.
27. Wang C., and Stamatiadis N.. Derivation of a New Surrogate Measure of Crash Severity. Transportation Research Record: Journal of the Transportation Research Board, No. 2432, 2014, pp. 37–45. https://doi.org/10.3141/2432-05.
28. Vedagiri P., and Killi D. V.. Traffic Safety Evaluation of Uncontrolled Intersections Using Surrogate Safety Measures Under Mixed Traffic Conditions. Transportation Research Record: Journal of the Transportation Research Board, No. 2512, 2015, pp. 81–89. https://doi.org/10.3141/2512-10.
29. Anastasopoulos P. C., and Mannering F. L.. The Effect of Speed Limits on Drivers’ Choice of Speed: A Random Parameters Seemingly Unrelated Equations Approach. Analytic Methods in Accident Research, Vol. 10, 2016, pp. 1–11. https://doi.org/10.1016/j.amar.2016.03.001.
30. Dougald L. E., Development of Guidelines for the Installation of Marked Crosswalks. Virginia Transportation Research Council, Charlottesville, Va., 2004.
31. Choi S., and Oh C.. Proactive Strategy for Variable Speed Limit Operations on Freeways Under Foggy Weather Conditions. Transportation Research Record: Journal of the Transportation Research Board, No. 2551, 2016, pp. 29–36. https://doi.org/10.3141/2551-04.
32. Wu K.-F., and Jovanis P. P.. Screening Naturalistic Driving Study Data for Safety-Critical Events. Transportation Research Record: Journal of the Transportation Research Board, No. 2386, 2013, pp. 137–146. https://doi.org/10.3141/2386-16.
33. Shankar V., Jovanis P. P., Aguero-Valverde J., and Gross F.. Analysis of Naturalistic Driving Data: Prospective View on Methodological Paradigms. Transportation Research Record: Journal of the Transportation Research Board, No. 2061, 2008, pp. 1–8. https://doi.org/10.3141/2061-01.
34. Peesapati L. N., Hunter M., Rodgers M., and Guin A.. A Profiling Based Approach to Safety Surrogate Data Collection. Presented at 3rd International Conference on Road Safety and Simulation, Indianapolis, Ind., 2011.
35. Tarko A., Davis G., Saunier N., Sayed T., and Washington S.. Surrogate Measures of Safety. White paper. Subcommittee on Surrogate Measures of Safety, Committee on Safety Data, Evaluation, and Analysis, Transportation Research Board, Washington, D.C., 2009.
36. Shoarian-Sattari K., and Powell D.. Measured Vehicle Flow Parameters as Predictors in Road Traffic Accident Studies. Traffic Engineering and Control, Vol. 28, No. 6, 1987, pp. 328–335.
37. Klauer S. G., Dingus T. A., Neale V. L., Sudweeks J. D., and Ramsey D. J.. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data. DOT HS 810 594. NHTSA, U.S. Department of Transportation, 2006.
38. Hamed M., and Mannering F. L.. Modeling Travelers’ Post-Work Activity Involvement: Toward a New Methodology. Transportation Science, Vol. 27, No. 4, 1993, pp. 381–394. https://doi.org/10.1287/trsc.27.4.381.
39. Young R. K., and Liesman J.. Estimating the Relationship Between Measured Wind Speed and Overturning Truck Crashes Using a Binary Logit Model. Accident Analysis and Prevention, Vol. 39, No. 3, 2007, pp. 574–580. https://doi.org/10.1016/j.aap.2006.10.002.
40. Sarwar M. T., Anastasopoulos P. C., Ukkusuri S. V., Murray-Tuite P., and Mannering F. L.. A Statistical Analysis of the Dynamics of Household Hurricane-Evacuation Decisions. Transportation: Planning, Policy, Research, Practice, Vol. 43, No. 3, 2016, pp. 1–20. https://doi.org/10.1007/s11116-016-9722-6.
41. Train K., Halton Sequences for Mixed Logit. Department of Economics. University of California, Berkley, 1999.
42. Bhat C., Simulation Estimation of Mixed Discrete Choice Models Using Randomized and Scrambled Halton Sequences. Transportation Research Part B: Methodological, Vol. 37, No. 9, 2003, pp. 837–855. https://doi.org/10.1016/S0191-2615(02)00090-5.
43. Anastasopoulos P. C., and Mannering F. L.. An Empirical Assessment of Fixed and Random Parameter Logit Models Using Crash- and Non-Crash-Specific Injury Data. Accident Analysis and Prevention, Vol. 43, No. 3, 2011, pp. 1140–1147. https://doi.org/10.1016/j.aap.2010.12.024.
44. Washington S., Karlaftis M. G., and Mannering F. L.. Statistical and Econometric Methods for Transportation Data Analysis, 2nd ed. CRC Press, Boca Raton, Fla., 2011.
45. McFadden D., Econometric Models of Probabilistic Choice. In Structural Analysis of Discrete Data with Econometric Applications (Manski C., and McFadden D., eds.), MIT Press, Cambridge, Mass., 1981.
46. Anastasopoulos P. C., and Mannering F. L.. A Note on Modeling Vehicle-Accident Frequencies with Random Parameter Count Models. Accident Analysis and Prevention, Vol. 41, No. 1, 2009, pp. 153–159. https://doi.org/10.1016/j.aap.2008.10.005.
47. Russo B., Savolainen P., Schneider W., IV, and Anastasopoulos P. C.. Comparison of Factors Affecting Injury Severity in Angle Collisions by Fault Status Using a Random Parameters Bivariate Ordered Probit Model. Analytic Methods in Accident Research, Vol. 2, 2014, pp. 21–29. https://doi.org/10.1016/j.amar.2014.03.001.
48. Anastasopoulos P. C., Random Parameters Multivariate Tobit and Zero-Inflated Count Data Models: Addressing Unobserved and Zero-State Heterogeneity in Accident Injury-Severity Rate and Frequency Analysis. Analytic Methods in Accident Research, Vol. 11, 2016, pp. 17–32. https://doi.org/10.1016/j.amar.2016.06.001.
49. Milton J., Shankar V., and Mannering F. L.. Highway Accident Severities and the Mixed Logit Model: An Exploratory Empirical Analysis. Accident Analysis and Prevention, Vol. 40, No. 1, 2008, pp. 260–266. https://doi.org/10.1016/j.aap.2007.06.006.
50. Anastasopoulos P. C., and Mannering F. L.. Analysis of Pavement Overlay and Replacement Performance Using Random-Parameters Hazard-Based Duration Models. ASCE Journal of Infrastructure Systems, Vol. 21, No. 1, 2014, pp. 04014024 (1–13). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000208.
51. Sarwar M. T., and Anastasopoulos P. C.. Three-Stage Least Squares Analysis of Postrehabilitation Pavement Performance. Transportation Research Record: Journal of the Transportation Research Board, No. 2589, 2016, pp. 97–109. https://doi.org/10.3141/2589-11.
52. Anastasopoulos P. C., Sarwar M. T., and Shankar V.. Safety-Oriented Pavement Performance Thresholds: Accounting for Unobserved Heterogeneity in a Multi-Objective Optimization and Goal Programming Approach. Analytic Methods in Accident Research, Vol. 12, 2016, pp. 35–47. https://doi.org/10.1016/j.amar.2016.10.001.
53. Anwaar A., Van Boxel D., Volovski M., Anastasopoulos P. C., Labi S., and Sinha K. C.. Using Lagging Headways to Estimate Passenger Car Equivalents on Basic Freeway Sections. Journal of Transportation of the Institute of Transportation Engineers, Vol. 2, No. 1, 2011, pp. 1–17.
54. Sarwar M. T., and Anastasopoulos P. C.. The Effect of Long Term Non-Evasive Pavement Deterioration on Accident Injury-Severity Rates: A Seemingly Unrelated and Multivariate Equations Approach. Analytic Methods in Accident Research, Vol. 13, 2017, pp. 1–15. https://doi.org/10.1016/j.amar.2016.10.003.