چکیده مقاله
Data mining techniques are nonparametric analysis tools that have become more common tools in transportation data analyses The main objective of this study is to find the relationship between the occurrence of pedestrian crashes and roadside access and land use related factors on rural roads using Classification And Regression Tree CART Crash data and land use data for a divided rural multilane road in Guilan province, Iran was used to illustrate the land use impact on the occurrence of pedestrian crashes Results of the importance of variables for decision trees showed that Residential and Commercial land uses are among the most effective factors on the analysis of pedestrian crashes Moreover, the access road was found as another effective factor On the other hand, the impact of Greenspace and Military land uses on crash occurrence were found to be negative The results of this study are usable in land use assignment policies on rural roads to improve the safety of pedestrians
کلیدواژهها
نویسندگان
Mahyar Vahedi Saheli
MSc Student, Department of Civil Engineering Road and Transportation , Faculty of Engineering, The University of Guilan, Rasht, Iran;
Meysam Effati
Assistant Professor, Department of Civil Engineering Road and Transportation , Faculty of Engineering, The University of Guilan, Rasht, Iran;
شیوه ارجاع
Vahedi Saheli, Mahyar and Effati, Meysam,1398,Investigating the Effects of Land Use on Pedestrian Crashes: A Classification and Regression Tree Approach,3rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی محاسبات نرم29 آبان 1398 · رودسر