Influencing Spatial and Temporal Patterns of Road Accidents: A Study on Nuwara – Eliya District
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In the global context, about 1.25 million people die each year as a result of road traffic crashes. Road traffic injuries are the leading cause of death among young people, aged 15–29 years. 90% of the world's fatalities on the roads occur in low- and middle-income countries (WHO, 2017). In Sri Lanka, the accidents are increasing rapidly. According to the report of transport and civil aviation, 2801 deaths, 2590 fatal accidents, 13,095 minor accidents, and 7719 critical accident have occurred in Sri Lanka in 2015. The trend of the accidents has been increasing due to many factors. Physical features of the roads and road sides, behaviour of drivers and pedestrian are mainly influencing the occurrence of accidents. Central province has many accidents-prone areas due to its spatial and temporal patters. Increasing accident occurrences have been registered in the central province. Landform and climatic factors such as fog, snow and rainfall trigger the accidents’ potentials. Therefore, this is study has been conducted under the title of “Spatial and temporal patterns of road accidents and their challenges: a study on Nuwara-Eliya District”. Physical features mainly partake to cause the accidents in the study area. There is no any previous research about this problem in the study area due to the fact that, this study gets significance. Many factors identified using the primary and secondary data, collected to conduct this study. Collected data were analysed and many remedial recommendation have been suggested to overcome the challenges, caused by the road accidents in the study area in compressive manner.
-  M. I. M. Kaleel, Pipe-borne water consumption and its wastage: A study based on Panandura Urban Area in Sri Lanka. World Scientific News 66 (2017) 250-262
-  Ned Levine, Karl E. Kim, Lawrence H. Nitz. Spatial analysis of Honolulu motor vehicle crashes: I. Spatial patterns. Accident Analysis & Prevention Volume 27, Issue 5, October 1995, Pages 663-674
-  Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical Analysis 27 (2), 93–115.
-  Besag, J., and J. Newell. (1991). The Detection of Clusters in Rare Diseases. Journal of the Royal Statistical Society Series A 154 (1), 143–55.
-  Black, W. R. (1991). Highway Accidents: A Spatial and Temporal Analysis. Transportation Research Record 1318, 75–82.
-  Black, W. R. (1992). Network Autocorrelation in Transport Network and Flow Systems. Geographical Analysis 24, 207–22.
-  Cirillo, J. A. (1968). Interstate System Accident Research Study II, Interim Report II. Public Roads 35 (3), 71–75.
-  Clark, P. J., and F. C. Evans. (1954). Distance to Nearest Neighbor as a Measure of Spatial Relationships in Population. Ecology 35, 445–53.
-  Cressie, N., and B. Collins. (2001). Patterns in Spatial Point Locations: Local Indicators of Spatial Association in a Minefield with Clutter. Naval Research Logistics 48, 333–47.
-  Flahaut, B., M. Mouchart, E. S. Martin, and I. Thomas. (2003). The Local Spatial Autocorrelation and the Kernel Method for Identifying Black Zones: A Comparative Approach. Accident Analysis and Prevention 35, 991–1004.
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