01593898

Component

The clustering approach of the spatial distribution analysis was adopted to spatially analyze the motor vehicle crashes in the City of Albany, NY. The study has two main objectives: First, to statistically determine significant clustered/non-clustered pattern for specific accident’s types at specific distances on the network, second, to locate and map the identified clusters on the network. Instead of the traditional planar spatial analyses / methods (in which analysis conducted on two dimensions area unit), the study use the network spatial analyses / methods (in which analysis conducted over one dimension linear unit). Two main statistical methods were used to achieve the two objectivities of the study, the network k- function (to measure clustered/non clustered pattern and geographic clustering scales), and the network kernel density estimation (to determine where these clusters occur on the network). The New York State Department of Transportation’s (NYSDOT) crash data with x, y coordinates from Jan 2013 to March 2014 with total 6953 accidents was used for this purpose. 17 types of accidents were set for the analysis. These classes of accidents were classified based on many variables, such as driver’s characteristics, weather condition, temporal variables, type of collusion, intersections’ traffic control and reported causes of accidents. The findings indicate that there is low variation among crash types in terms of the spatial scale where clusters occur, while there is a high variety of the locations where these clusters occur at the segment level. The strongest crashes’ clusters occur on major and collector streets with variation at segment level for each type.

This paper was sponsored by TRB committee ANB20 Standing Committee on Safety Data, Analysis and Evaluation. Alternate title: Network Spatial Analysis for Motor Vehicle Accidents

01584066

16-3117

English

12p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References

Crash data; Crash locations; Spatial analysis; Statistical analysis; Traffic crashes

New York State Department of Transportation

Albany (New York)

Highways; Planning and Forecasting; Safety and Human Factors

Transportation Research Board Annual Meeting 2016 Paper #16-3117

TRIS, TRB, ATRI

Jan 12 2016 5:23PM