Geostatistical Spatial Decision-Making for Identifying Road Hazardous Road Segments in Rural Areas

ABED, J., and KAYSI, I. (2003) Identifying urban boundaries: application of remote sensing and geographic information system technologies, Canadian Journal of Civil Engineering, 30(6): pp 992–999, DOI: 10.1139/l03-051 Search in Google Scholar

ALAM, M. S., and TABASSUM, N.J. (2023) Spatial pattern identification and crash severity analysis of road traffic crash hot spots in Ohio. Heliyon 9(5), e16303, https://doi.org/10.1016/j.heliyon.2023.e16303 Search in Google Scholar

ANDERSON, T. K. (2009) Kernel density estimation and K-means clustering to profile road accident hotspots, Accident Analysis and Prevention, 41(3), pp 359–364, https://doi.org/10.1016/j.aap.2008.12.014 Search in Google Scholar

ANSELIN, L. (1995) Local indicator of spatial association-LISA, Geographical Analysis, 27 (2), pp. 93–115, https://doi.org/10.1111/j.1538-4632.1995.tb00338.x Search in Google Scholar

BAILEY, T.C and GATRELL, A.C. (1995) Interactive Spatial Data Analysis, Longman: Harlow. Search in Google Scholar

BAUMONT, C., Ertur, C., Le Gallo, J. (2004) Spatial Analysis of Employment and Population Density: the Case of the Agglomeration of Dijon, 1999, Geographical Analysis, 36, pp 146–176, https://doi.org/10.1111/j.1538-4632.2004.tb01130.x Search in Google Scholar

BOOTH, A.J (2004) Fishery-Aquatic GIS Research Group, Spatial statistic and aquatic geographic information systems. In Proceedings of the Second International Symposium on GIS/Spatial Analysis in the Aquatic Sciences. Kawagoe-city, Japan, pp. 3 – 44. Search in Google Scholar

BOOTS, B. (2002) Local measures of spatial association, Écoscience, 9(2), pp 168–176, DOI: 10.1080/11956860.2002.11682703 Search in Google Scholar

BRIJS, T., Van Den BOSSCHE, F., Karlis, D. (2006) A model for identifying and ranking dangerous accident locations: a case study in Flanders, Statistica Neerlandica, 60(4), pp 457–476, DOI: 10.1111/j.1467-9574.2006.00341.x Search in Google Scholar

CHENG, W., and WASHINGTON, S.P. (2005) Experimental evaluation of hotspot identification methods, Accident Analysis and Prevention, 37(5), pp 870–881, DOI: 10.1016/j.aap.2005.04.015 Search in Google Scholar

COLAK, H.E., Tugba MEMISOGLU., Selcuk ERBAS, Y., Sevket BEDIROGLU. (2018) Hot spot analysis based on network spatial weights to deter mine spatial statistics of traffic accidents in Rize, Turkey. Arabian Journal of Geosciences, volume 11: article number 151, https://doi.org/10.1007/s12517-018-3492-8 Search in Google Scholar

DRISS, M., BENABDELI, K., Saint-GÉRANT, T., HAMADOUCHE, M.A. (2014) Traffic safety prediction model for identifying spatial degrees of exposure to the risk of road accidents based on fuzzy logic approach. Geocarto international, 30(3), pp 243–257, DOI:10.1080/10106049.2014.883554. Search in Google Scholar

ERDOGAN, S. (2009) Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey, Journal of Safety Research, 40(5), pp 341–351, DOI: 10.1016/j.jsr.2009.07.006 Search in Google Scholar

FAGBOHUN, B.J., and ALADEJANA, O.O. (2016) Integrating knowledge-based multi-criteria evaluation techniques with GIS for landfill site selection: A case study using AHP. Materials and Geoenvironment, pp 169 – 182, DOI: https://doi.org/10.1515/rmzmag-2016-0016 Search in Google Scholar

FLAHAUT, B. (2004) Impact of infrastructure and local environment on road unsafety Logistic modeling with spatial autocorrelation, Accident Analysis and Prevention, 36(6), pp 1055–1066, DOI: 10.1016/j.aap.2003.12.003 Search in Google Scholar

FLAHAUT, B., and THOMAS, I. (2002) Identifier les zones noires d’un réseau routier par l’autocorrélation spatiale locale : Analyses de sensibilité et aspects opérationnels, Revue internationale de géomatique, 12, pp 245–261, http://dx.doi.org/10.3166/rig.12.245-261 Search in Google Scholar

FLAHAUT, B., MOUCHART, M., San MARTIN, E. (2003) The local spatial autocorrelation and the kernel method for identifying black zones: a comparative approach. Accident Analysis and Prevention, 35(6), pp. 991–1004. DOI: 10.1016/S0001-4575(02)00107-0 Search in Google Scholar

Fotheringham, A.S., Brunsdon, C., Charlton, M. (2000) Quantitative geography: Perspectives on spatial data analysis. Sage Publications, Thousand Oaks, CA. 270 p. Search in Google Scholar

Getis, A., ALDSTADT, J. (2004) Constructing the spatial weights matrix using a local statistic, Geographical Analysis, 32(2), pp 90–104, DOI: 10.1007/978-3-642-01976-0_11 Search in Google Scholar

Getis, A., ORD, J.K. (1996) Local spatial statistics: An overview, In spatial analysis: Modeling in a GIS environment. Edited by P. Longley and M. Batty (eds.). Jhon Wiley and Sons. New York, pp. 261–277. Search in Google Scholar

GUNDOGDU, I.B. (2011) A new approach for GIS-supported mapping of traffic accidents. In: Proceedings of the Institution of Civil Engineers, Transport, Stockholm, Sweden, 164(2), pp 87–96, doi:10.1680/tran.2011.164.2.87 Search in Google Scholar

H. GE., L. DONG., M. HUANG., W. ZANG., L. ZHOU. (2022) Adaptive Kernel Density Estimation for Traffic Accidents Based on Improved Bandwidth Research on Black Spot Identification Model, Electronics, 11(21), 3604, DOI: 10.3390/electronics11213604 Search in Google Scholar

HAIJIN, S., and LIANJUN, Z. (2003) Local Analysis of Tree Competition and Growth, Forest Science, 49(6), 938–955, https://doi.org/10.1093/forestscience/49.6.938 Search in Google Scholar

HAYIDSO TEMESGEN Haile., Gemeda Dessalegn Obsi., Abraham Ashenif Melese. (2019) Identifying road traffic accidents hotspots areas using GIS in Ethiopia: A case study of hosanna town. Transport and Telecommunication, 20 (2), pp 123–132, DOI 10.2478/ttj-2019-0011 Search in Google Scholar

HEBBAR, C., TIRES, H., HASSANI Maya, M. (2020) Road Risk and Road Safety in Algeria. Territorium 27 (I), pp133–144, DOI: https://doi.org/10.14195/1647-7723_27-1_10 Search in Google Scholar

HIMMAN, S.E., BLACKBURN, J. k., JEFFERY CURTIS, A. (2006) Spatial and temporal structure of typhoid outbreaks in Washington, D.C., 1906–1909: evaluating local clustering with the G_i* statistic, International Journal of Health Geographics, 5(1), 13, doi:10.1186/1476-072X-5-13 Search in Google Scholar

KHAN, G., QIN, X., NOYCE, D.A. (2008) Spatial Analysis of Weather Crash Patterns. Journal of transportation engineering, 134(5), pp.191–202. DOI: 10.1061/(ASCE)0733-947X(2008)134:5(191) Search in Google Scholar

MENDAS, A., HAMDOUN, S., NECHNICHE, H. (2006) Identification et cartographie des concentrations spatiales des accidents de la route Application à la RN 11(Ouest algérien). Revue XYZ• N° 107 – 2e trimestre : pp. 35–40, Search in Google Scholar

MITCHELL, A. (2005) The ESRI Guide to GIS Analysis, Volume 2: Spatial measurements and statistics, ESRI Press, Redlands. 240p. Search in Google Scholar

MOONS, E., BRIJS, T., WETS, G. (2009) Improving Moran’s Index to Identify Hot Spots in Traffic Safety. Geocomputation and Urban Planning. In: Springer-Verlag Berlin Heidelberg,, SCI volume 176, pp117–132, doi: 10.1007/978-3-540-89930-3_7 Search in Google Scholar

ONS – Office National des Statistiques (2020). Les immatriculations des véhicules automobiles, Rapport N°996[cited 31/12/2020]. Available on: https://www.ons.dz/IMG/pdf/i.parc_nat31_12_2020.pdf Search in Google Scholar

ORD, J.K., GETIS, A. (1995) Local Spatial Autocorrelation statistics: Distribution issues and an application, Geographical analysis, 27(4), pp. 286–306, https://doi.org/10.1111/j.1538-4632.1995.tb00912.x Search in Google Scholar

OURAMDANE, N., Ifourah, H., Henchiri J.E. (2023) Road accidents in Algeria: a diagnosis to act better . Annales des sciences sociales et humaines de l’Université de Guelma. Volume:1 /N°34:, pp 335–355, http://dspace.univ-guelma.dz/jspui/handle/123456789/14337 Search in Google Scholar

RYGUŁA A.., BRZOZOWSKI K.., MACZYNSKI Andrzej. (2023) A model for identifying road risk class, Transport and Telecommunication, 24(02), pp 167–179, DOI 10.2478/ttj-2023-0015 Search in Google Scholar

SAVAS Durduran, S. (2010) A decision making system to automatic recognize of traffic accidents on the basis of a GIS platform, Expert Systems with Applications, 37 (12), pp. 7729–7736, DOI: 10.1016/j.eswa.2010.04.068 Search in Google Scholar

STEENBERGHEN, T., AERTS, K., THOMAS, I. (2010) Spatial clustering of events on a network, Journal of Transport Geography, 18(3), pp 411–418, DOI: 10.1016/j.jtrangeo.2009.08.005 Search in Google Scholar

THOMAS, I. (1996) Spatial data aggregation: Exploratory analysis of road accidents, Accident Analysis and Prevention, 28(2), pp 251–264, https://doi.org/10.1016/0001-4575(95)00067-4 Search in Google Scholar

TORUN, A., and DÜZGÜN, S. (2006) Using spatial data mining techniques to reveal vulnerability of people and places due to oil transportation and accidents: a case study of Istanbul strait,” In: ISPRS Technical Commission II Symposium, Vienna, pp 43–48. Search in Google Scholar

TSAI, P.J., LIN, M.L., CHU, C.M., PERNG., C.H. (2009) Spatial autocorrelation analysis of health care hotspots in Taiwan in 2006, BMC Publ Health, 9(1), article number 464, doi:10.1186/1471-2458-9-464 Search in Google Scholar

WU, J., WANG, J., MENG, B., CHEN, G., PANG, L., SONG, X., ZHANG, K., ZHANG, T., ZHENG, X. (2004) Exploratory spatial data analysis for the identification of risk factors to birth defects, BMC Public Health, 4, article number 23, doi:10.1186/1471-2458-4-23 Search in Google Scholar

WU, W.B., and MIELNICZUK, J. (2002) Kernel Density Estimation For Linear Processes, The Annals of statistics, 30(5), pp. 1441–1459, DOI: 10.1214/aos/1035844982 Search in Google Scholar

ZANINETTI, J.M. (2007) Statistiques de produit croisé pour l’analyse spatiale exploratoire, Cybergeo: Revue européenne de géographie, doi :10.4000/cybergeo.11203 Search in Google Scholar