چکیده مقاله
GIS has been a popular tool for visualization of crash data and analysis of hotspotsin highway segments and intersections, hence in this study four GIS aidedmethods as hotspot identification methods have been used: K means clustering,STAC, Nearest neighbor hierarchical clustering, and Kernel density method Thisstudy used the data of pedestrian related crashes of district 11 of Tehran over ayear These crashes resulted in 63 individual crash concentration zones for 276pedestrian crashes in the study area Furthermore, the results of using above methodsshowed although every of these methods have different assumptions andprocedures their outputs are almost similar and do not have any noticeable difference In the next step, to determine the significance of identified hotspots and validationof the study, based on minimum required values of crash frequency Poissondistribution in four levels was developed Intersection of Jomhuri and Valiasrstreets and south side area of Qazvin sq were obtained the most dangerous hotspotshaving 9 pedestrian crashes in a year and less than 0 5 percent occurrenceprobability in normal conditions
کلیدواژهها
نویسندگان
M Hadji Hosseinlou
Assistant professor, Transportation Department, Faculty of Civil Engineering, K N Toosi University of Technology, Tehran, Iran
A Jafari Anarkooli
Post Graduated Student, Transportation Department, Faculty of Civil Engineering, K N Toosi University of Technology, Tehran, Iran
I Allah Ghiansi
Post Graduated Student, Transportation Department, Faculty of Civil Engineering, K N Toosi University of Technology, Tehran, Iran
شیوه ارجاع
Hadji Hosseinlou, M and Jafari Anarkooli, A and Allah Ghiansi, I,1394,Comparative analysis of GIS aided methods to identify pedestrian crash hotspots in urban networks,The 14th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک5 اسفند 1393 · تهران