Evaluating the spatiotemporal clustering of traffic incidents

Computers, Environment and Urban Systems - Tập 37 - Trang 70-81 - 2013
David C. Eckley1, Kevin M. Curtin1
1George Mason University, Department of Geography and GeoInformation Science (MS 6C3), 4400 University Drive, Fairfax, VA 22030, United States

Tài liệu tham khảo

Assunção, 2009, Surveillance to detect emerging space–time clusters, Computational Statistics & Data Analysis, 53, 2817, 10.1016/j.csda.2008.10.032 Bailey, 1996 Baker, 1996, Testing for space-time clusters of unknown size, Journal of Applied Statistics, 23, 543, 10.1080/02664769624080 Black, 1991, Highway accidents: A spatial and temporal analysis, Transportation Research Record, 1318, 75 Black, 1992, Network autocorrelation in transport network and flow systems, Geographical Analysis, 24, 207, 10.1111/j.1538-4632.1992.tb00262.x Black, 1998, Accidents on Belgium’s motorways: A network autocorrelation analysis, Journal of Transport Geography, 6, 23, 10.1016/S0966-6923(97)00037-9 Chang, 2008, A stack-based prospective spatio-temporal data analysis approach, Decision Support Systems, 45, 697, 10.1016/j.dss.2007.12.008 Clark, 1954, Distance to nearest neighbor as a measure of spatial relationships in populations, Ecology, 35, 445, 10.2307/1931034 Cliff, 1981 David, 1966, Two space-time interaction tests for epidemicity, British Journal of Preventive and Social Medicine, 20, 44 Diggle, 1995, Second-order analysis of space-time clustering, Statistical Methods in Medical Research, 4, 124, 10.1177/096228029500400203 FARS (2010). Fatality analysis reporting system fatal crash data overview (No. 810564). National Highway Traffic Safety Administration. <www.nrd.nhtsa.dot.gov>. Glass, 1969, Lack of time-space clustering of childhood Leukemia in Los Angeles County, 1960–1964, Cancer Research, 29, 1995 Hochberg, 1988, A sharper Bonferroni procedure for multiple tests of significance, Biometrika, 75, 800, 10.1093/biomet/75.4.800 Holm, 1979, A simple sequentially rejective multiple test procedure, Scandinavian Journal of Statistics, 6, 65 Jacquez, 1996, A k nearest neighbour test for space-time interaction, Statistics in Medicine, 15, 1935, 10.1002/(SICI)1097-0258(19960930)15:18<1935::AID-SIM406>3.0.CO;2-I Jacquez, 2008, Spatial cluster analysis, 395 Kao, 2008, Spatial and temporal clustering of Kawasaki syndrome cases, Pediatric Infectious Disease Journal, 27, 981, 10.1097/INF.0b013e31817acf4f Kennedy, E. (2010). ODPS Crash Extracts (No. 7). Ohio Traffic Safety Office. <www.dps.state.oh.us/CrashRequests/extract.aspx>. Khan, 2009, Application and integration of lattice data analysis, network K-functions, and geographic information system software to study ice-related crashes, Transportation Research Record, 2136, 67, 10.3141/2136-08 Klauber, 1971, Two-sample randomization tests for space-time clustering, Biometrics, 27, 129, 10.2307/2528932 Klauber, 1970, Space-time clustering of childhood leukemia in San Francisco, Cancer Research, 30, 1969 Knox, 1964, The detection of space-time interactions, Journal of the Royal Statistical Society Series C (Applied Statistics), 13, 25 Knox, 1992, Leukaemia clusters in Great Britain. 1. Space-time interactions, Journal of Epidemiology and Community Health, 46, 566, 10.1136/jech.46.6.566 Kulldorff, 2001, Prospective time periodic geographical disease surveillance using a scan statistic RID H-4282-2011, Journal of the Royal Statistical Society Series a-Statistics in Society, 164, 61, 10.1111/1467-985X.00186 Kulldorff, 1998, Evaluating cluster alarms: A space-time scan statistic and brain cancer in Los Alamos, New Mexico RID H-4282-2011, American Journal of Public Health, 88, 1377, 10.2105/AJPH.88.9.1377 Kulldorff, 2005, A space-time permutation scan statistic for disease outbreak detection RID H-4282-2011, PLOS Medicine, 2, 216, 10.1371/journal.pmed.0020059 Kulldorff, 1999, The Knox method and other tests for space-time interaction, Biometrics, 55, 544, 10.1111/j.0006-341X.1999.00544.x Lloyd, 1973, A test for space clustering and its application to congenital limb defects in Cardiff, British Journal of Preventive & Social Medicine, 27, 188 Mantel, 1967, The detection of disease clustering and a generalized regression approach, Cancer Research, 27, 209 McNally, 2008, Space-time analysis of Down syndrome: Results consistent with transient pre-disposing contagious agent, International Journal of Epidemiology, 37, 1169, 10.1093/ije/dyn083 Meighan, 1965, Leukemia in childhood: Epidemiology in Oregon, Cancer, 18, 811, 10.1002/1097-0142(196507)18:7<811::AID-CNCR2820180706>3.0.CO;2-0 Mennis, 2010, Multidimensional map algebra: Design and implementation of a spatio-temporal GIS processing language, Transactions in GIS, 14, 1, 10.1111/j.1467-9671.2009.01179.x Mielke, 1978, Clarification and appropriate inferences for Mantel and Valand’s nonparametric multivariate analysis technique, Biometrics, 34, 277, 10.2307/2530017 Miller, 1999, Measuring space-time accessibility benefits within transportation networks: Basic theory and computational procedures, Geographical Analysis, 31, 187, 10.1111/j.1538-4632.1999.tb00976.x Moons, E., Brijs, T., & Wets, G. (2009). Identifying hazardous road locations: Hot spots versus hot zones. In M. Gavrilova & C. Tan (Eds.), Transactions on Computational Science VI, Lecture Notes in Computer Science (Vol. 5730, pp. 288–300). Berlin/Heidelberg: Springer. <http://www.springerlink.com/content/2344287hm70848q3/abstract/>. Mountrakis, 2009, Multi-scale spatiotemporal analyses of moose–vehicle collisions: A case study in northern Vermont, International Journal of Geographical Information Science, 23, 1389, 10.1080/13658810802406132 Nakaya, 2010, Visualising crime clusters in a space-time cube: An exploratory data-analysis approach using space-time kernel density estimation and scan statistics, Transactions in GIS, 14, 223, 10.1111/j.1467-9671.2010.01194.x Okabe, 2006, SANET: A toolbox for spatial analysis on a network, Geographical Analysis, 38, 57, 10.1111/j.0016-7363.2005.00674.x Okabe, 2006, Uniform network transformation for point pattern analysis on a non-uniform network, Journal of Geographical Systems, 8, 25, 10.1007/s10109-005-0009-2 Okabe, 2009, A kernel density estimation method for networks, its computational method and a GIS-based tool, International Journal of Geographical Information Science, 23, 7, 10.1080/13658810802475491 Okabe, 2001, The K-function method on a network and its computational implementation, Geographical Analysis, 33, 271, 10.1111/j.1538-4632.2001.tb00448.x Okabe, 1995, Statistical analysis of the distribution of points on a network, Geographical Analysis, 27, 152, 10.1111/j.1538-4632.1995.tb00341.x Okabe, 1988, The statistical analysis of a distribution of activity points in relation to surface-like elements, Environment and Planning A, 20, 609, 10.1068/a200609 Okunuki, 2002, Solving the huff-based competitive location model on a network with link-based demand, Annals of Operations Research, 111, 239, 10.1023/A:1020962005350 Pei, 2010, Windowed nearest neighbour method for mining spatio-temporal clusters in the presence of noise, International Journal of Geographical Information Science, 24, 925, 10.1080/13658810903246155 Pinder, 1973, Nearest-neighbour analysis of linear point patterns, Tijdschrift voor economische en sociale geografie, 64, 160, 10.1111/j.1467-9663.1973.tb00077.x Roberts, 1975, An investigation of space and space-time clustering in a large sample of infants with neural tube defects born in Cardiff, British Journal of Preventive and Social Medicine, 29, 202 Rogerson, 2001, Monitoring point patterns for the development of space-time clusters, Journal of the Royal Statistical Society Series A (Statistics in Society), 164, 87, 10.1111/1467-985X.00188 Schmertmann, 2010, Knox meets Cox: Adapting epidemiological space-time statistics to demographic studies, Demography, 47, 629, 10.1353/dem.0.0113 Shiode, 2008, Analysis of a distribution of point events using the network-based quadrat method, Geographical Analysis, 40, 380, 10.1111/j.0016-7363.2008.00735.x Shiode, 2009, Detection of multi-scale clusters in network space, International Journal of Geographical Information Science, 23, 75, 10.1080/13658810801949843 Sidak, 1967, Rectangular confidence regions for the means of multivariate normal distributions, Journal of the American Statistical Association, 62, 626 Siemiatycki, 1978, Mantel’s space-time clustering statistic: Computing higher moments and a comparison of various data transforms, Journal of Statistical Computation and Simulation, 7, 13, 10.1080/00949657808810206 Simes, 1986, An improved Bonferroni procedure for multiple tests of significance, Biometrika, 73, 751, 10.1093/biomet/73.3.751 Smith, 1976, Epidemiology of childhood leukaemia in greater London: A search for evidence of transmission assuming a possibly long latent period, British Journal of Cancer, 33, 1, 10.1038/bjc.1976.1 Thomas, 1996, Spatial data aggregation: Exploratory analysis of road accidents, Accident Analysis & Prevention, 28, 251, 10.1016/0001-4575(95)00067-4 Upton, 1985 von Neumann, 1941, Distribution of the ratio of the mean square successive difference to the variance, The Annals of Mathematical Statistics, 12, 367, 10.1214/aoms/1177731677 Weather Underground (2009). Weather History for Columbus, OH. <www.wunderground.com>. Williams, 1984, Time-space clustering of disease, 479 Yamada, 2007, Local indicators of network-constrained clusters in spatial point patterns, Geographical Analysis, 39, 268, 10.1111/j.1538-4632.2007.00704.x Yamada, 2010, Local indicators of network-constrained clusters in spatial patterns represented by a link attribute, Annals of the Association of American Geographers, 100, 269, 10.1080/00045600903550337 Yamada, 2004, Comparison of planar and network K-functions in traffic accident analysis, Journal of Transport Geography, 12, 149, 10.1016/j.jtrangeo.2003.10.006 Young, 1982, The linear nearest neighbour statistic, Biometrika, 69, 477, 10.1093/biomet/69.2.477