Spatial point analysis of road crashes in Shanghai: A GIS-based network kernel density method

Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Volumn , Issue , 2011, Pages

  Loo, Becky P Y ^a   Yao, Shenjun ^a   Wu, Jianping ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

crashes; GIS; kernel density; network; trafffic

Indexed keywords

CRASHES; DENSITY ESTIMATES; HAZARDOUS ROAD LOCATIONS; HOT ZONE; IMPROVEMENT MEASURE; KERNEL DENSITY; ROAD CRASH; ROAD SEGMENTATION; ROAD SEGMENTS; SEGMENTATION PROCESS; SPATIAL POINTS; TRAFFFIC; TRAFFIC CRASHES; UNDESIRABLE EFFECTS;

BANDWIDTH; GEOGRAPHIC INFORMATION SYSTEMS; HIGHWAY ACCIDENTS; RURAL AREAS; SENSITIVITY ANALYSIS; SPATIAL DISTRIBUTION; SPATIAL VARIABLES MEASUREMENT;

ROADS AND STREETS;

EID: 80052371700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GeoInformatics.2011.5980938     Document Type: Conference Paper

References (15)

1. "Global status report on road safety," Switzerland: World Health Organization, 2009.
2. "Statistics on road traffic crashes in 2009," available at http://www.mps.gov.cn/n16/n1252/n1837/n2557/2276407.html,Ministry of Public Security of the People's Republic of China, 2010.
3. China's Road Crashes Statistical Book, Ministry of Public Security of the People's Republic of China, 2006, 2007, 2008.
4. W. R. Black and I. Thomas, "Accidents on Belgium's motorway: a network autocorrelation analysis," Journal of Transport Geography, vol. 6 (1), 1998, pp: 23-31.
5. B. P. Y. Loo, "The identification of hazardous road locations: a comparison of the blacksite and hot zone methodologies in Hong Kong," International Journal of Sustainable Transportation, vol. 3 (3) , 2009, pp: 187-202.
6. E. Moons, T. Brijs, and G. Wets, "Identifying hazardous road locations: hot spots versus hot zones," Transactions on Computational Science, vol. 5730, 2009, pp: 288-300.
7. I. Yamada and J. C. Thill, "Local indicators of network-constrained clusters in spatial patterns represented by a link attribute," Annals of the Association of American Geographers, vol. 100( 2), 2010, pp: 269-85.
8. A. Okabe, K. Okunuki, and S. Shiode, "SANET: A toolbox for spatial analysis on a network," Geographical Analysis, vol. 38(1), 2006, pp: 57-66.
9. I. Yamada and J. C. Thill, "Local indicators of network-constrained clusters in spatial point patterns," Geographical Analysis, vol. 39(3), 2007, pp: 268-92.
10. Z. Xie and J. Yan, "Kernel density estimation of traffic accidents in a network space," Computers Environment and Urban Systems, vol. 32(5), 2008, pp: 396-406.
11. A. Okabe, T. Satoh, and K. Sugihara, "A kernel density estimation method for networks, its computational method and a GIS-based tool," International Journal of Geographical Information Science, vol. 23(1), 2009, pp: 7-32.
12. L. Waller and C. Gotway, Applied Spatial Statistics for Public Health Data. New York: Wiley, 2004.
13. J. F. Bithell, "An application of density-estimation to geographical epidemiology," Statistics in Medicine, vol. 9(6), 1990, pp: 691-701.
14. J. E. Kersall and P. J. Diggle, "Kernel estimation of relative risk," Bernoulli,vol. 1, 1995, pp: 3-16.
15. F. Lu, W. Jiang, and S. Ma, "Locations identification of hazardous road," Journal of Chang'an University(Natural Science Edition), vol. 23(1), 2003, pp: 97-90.