The identification of traffic crash hot zones under the link-attribute and event-based approaches in a network-constrained environment

Computers, Environment and Urban Systems

Volumn 41, Issue , 2013, Pages 249-261

  Loo, Becky P Y ^a   Yao, Shenjun ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Event based; Hot zone; Link attribute; Network; Traffic crashes

Indexed keywords

EVENT-BASED; HOT ZONE; LINK-ATTRIBUTE; ROAD SEGMENTS; ROAD TRAFFIC CRASHES; SPATIAL ANALYSIS; STATISTICAL THRESHOLD; TRAFFIC CRASHES;

NETWORKS (CIRCUITS);

ECOLOGY;

ACCIDENT; CLUSTER ANALYSIS; COLLISION; NETWORK ANALYSIS; ROAD TRANSPORT;

CHINA; HONG KONG;

EID: 84881532423     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2013.07.001     Document Type: Article

References (43)

1. Anselin L. Local indicators of spatial association-LISA. Geographical Analysis 1995, 27(2):93-115.
2. Austin K. The identification of mistakes in road crash records: Part 1, locational variables. Accident Analysis and Prevention 1995, 27(2):261-276.
3. Black W.R. Highway accidents: A spatial and temporal analysis. Transport Research Record 1991, 1318:75-82.
4. Black W.R. Network autocorrelation in transport network and flow systems. Geographical Analysis 1992, 24(3):207-222.
5. Black W.R., Thomas I. Accidents on Belgium's motorway: A network autocorrelation analysis. Journal of Transport Geography 1998, 6(1):23-31.
6. Chen C., Lin H., Loo B.P.Y. Exploring the impacts of safety culture on immigrants' vulnerability in non-motorized crashes: A cross-sectional study. Journal of Urban Health 2012, 89(1):138-153.
7. Cheng W., Washington S.P. Experimental evaluation of hotspot identification methods. Accident Analysis and Prevention 2005, 37(5):870-881.
8. Diggle, P. J. (2003). Statistical analysis of spatial point patterns (2nd ed.). Arnold; London.
9. Elvik R. Evaluations of road accident blackspot treatment: A case of the Iron Law of evaluation studies?. Accident Analysis and Prevention 1997, 29(2):191-199.
10. Elvik R. New approach to accident analysis for hazardous road locations. Transportation Research Record 2006, 1953:50-55.
11. Elvik R. A survey of operational definitions of hazardous road locations in some European countries. Accident Analysis and Prevention 2008, 40(6):1830-1835.
12. Erdogan S. Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey. Journal of Safety Research 2009, 40(5):341-351.
13. Erdogan S., Yilmaz I., Baybura T., Gullu M. Geographical information systems aided traffic accident analysis system case study: City of Afyonkarahisar. Accident Analysis and Prevention 2008, 40(1):174-181.
14. Farber S., Paez A., Volz E. Topology, dependency tests and estimation bias in network autoregressive models. Progress in spatial analysis 2010, 29-57. Springer, Verlag. A. Paez (Ed.).
15. Flahaut B. Impact of infrastructure and local environment on road unsafety: Logistic modeling with spatial autocorrelation. Accident Analysis and Prevention 2004, 36(6):1055-1066.
16. Flahaut B., Mouchart M., Martin E.S., Thomas I. The local spatial autocorrelation and the kernel method for identifying black zones: A comparative approach. Accident Analysis and Prevention 2003, 35(6):991-1004.
17. Fotheringham A.S. The problem of spatial autocorrelation and local spatial statistics. Geographical Analysis 2009, 41(4):398-403.
18. Getis A., Ord J.K. The analysis of spatial association by use of distance statistics. Geographical Analysis 1992, 24(3):189-206.
19. Geurts K., Wets G., Brijs T., Vanhoof K. Identification and ranking of black spots: Sensitivity analysis. Statistical Methods and Safety Data Analysis and Evaluation 2004, 1897:34-42.
20. Goodchild M.F. Spatial autocorrelation 1986, Geo Books, Norwich.
21. Huang H., Chin H.C., Haque M. Empirical evaluation of alternative apporaches in identifying crash hot spots: Naïve ranking, empirical Bayes, and full Bayes Methods. Transportaton Research Record: Journal of the Transportation Research Board No. 2103 2009, 32-41. Transportation Research Board of the National Academies, Washington, DC.
22. Hummel T. Land use planning in safer transportation network planning: safety principles, planning framework, and library information 2001, SWOV Institute for Road Safety Research, Leidschendam.
23. Jacobsen P.L. Why we fight about black spots. Injury Prevention 2006, 12:356-357.
24. Kim K., Yamashita E. Using a K-means clustering algorithm to examine patterns of pedestrian involved crashes in Honolulu, Hawaii. Journal of Advanced Transportation 2007, 41(1):69-89.
25. Levine N., Kim K.E., Nitz L.H. Spatial-analysis of Honolulu motor-vehicle crashes: 1. Spatial patterns. Accident Analysis and Prevention 1995, 27(5):663-674.
26. Levine N., Kim K.E., Nitz L.H. Spatial-analysis of Honolulu motor-vehicle crashes: 2. Zonal generators. Accident Analysis and Prevention 1995, 27(5):675-685.
27. Loo B.P.Y. Validating crash locations for quantitative spatial analysis: A GIS-based approach. Accident Analysis and Prevention 2006, 38(5):879-886.
28. Loo B.P.Y. The identification for hazardous road locations: A comparison of black site and hot zone methodologies in Hong Kong. International Journal of Sustainable Transportation 2009, 3(3):187-202.
29. Loo B.P.Y., Tsui K.L. Factors affecting the likelihood of reporting road crashes resulting in medical treatment to the police. Injury Prevention 2007, 13(3):186-189.
30. Loo B.P.Y., Yao S. Geographic information systems. Injury research: theories, methods, and approaches 2012, 447-463. Springer, New York. G. Li, S. Baker (Eds.).
31. Loo B.P.Y., Yao S., Wu J., Yu B., Zhong H. Identification method of road hot zones based on GIS. Journal of Traffic and Transportation Engineering 2011, 11(4):97-102. (in Chinese).
32. Lord D., Washington S., Ivan J.N. Further notes on the application of zero-inflated models in highway safety. Accident Analysis and Prevention 2007, 39(1):53-57.
33. Miranda-Moreno L.E., Labbe A., Fu L.P. Bayesian multiple testing procedures for hotspot identification. Accident Analysis and Prevention 2007, 39(6):1192-1201.
34. Moons E., Brijs T., Wets G. Identifying hazardous road locations: Hot spots versus hot zones. Transactions on Computational Science VI 2009, 5730:288-300.
35. Moons E., Brijs T., Wets G. Improving Moran's Index to identify hot spots in traffic safety. Geocomputation and urban planning 2009, 117-132. Springer, Heidelberg. B. Murgante, G. Borruso, A. Lapucci (Eds.).
36. Mueller B.A., Rivara F.P., Bergman A.B. Urban-rural location and the risk of dying in a pedestrian-vehicle collision. The Journal of Trauma 1988, 28(1):91-94.
37. Okabe A., Satoh T., Sugihara K. A kernel density estimation method for networks, its computational method and a GIS-based tool. International Journal of Geographical Information Science 2009, 23(1):7-32.
38. Steenberghen T., Aerts K., Thomas I. Spatial clustering of events on a network. Journal of Transport Geography 2010, 18:411-418.
39. Steenberghen T., Dufays T., Thomas I., Flahaut B. Intra-urban location and clustering of road accidents using GIS: A Belgian example. International Journal of Geographical Information Science 2004, 18(2):169-181.
40. Xie Z., Yan J. Kernel density estimation of traffic accidents in a network space. Computers, Environment and Urban Systems 2008, 32(5):396-406.
41. Yamada I., Thill J.-C. Comparison of planar and network K-functions in traffic accident analysis. Journal of Transport Geography 2004, 12:149-158.
42. Yamada I., Thill J.-C. Local indicators of network-constrained clusters in spatial point patterns. Geographical Analysis 2007, 39(3):268-292.
43. Yamada I., Thill J.-C. Local indicators of network-constrained clusters in spatial patterns represented by a link attribute. Annals of the Association of American Geographers 2010, 100(2):269-285.