RT - Journal Article T1 - A New Approach for Allocating Dynamic Resources on Road Network by Applying Spatiotemporal Clustering of Events JF - kntu-jgit YR - 2015 JO - kntu-jgit VO - 3 IS - 3 UR - http://jgit.kntu.ac.ir/article-1-293-en.html SP - 75 EP - 93 K1 - Clustering K1 - Location-Allocation K1 - Accidents K1 - K-function K1 - Hierarchical AB - A location-Allocation problem consists of two parts: locating resources and allocating them due to demands. Urban managers in order to plan metropolises, utilize various methods like districting urban regions, which is the result of solving a LA problem. Changing in urban districts, originates from dynamism rate of demands. Some efforts have been conducted to relate clustering to LA. Most of these researches apply clustering as a tool in locating resources whereas facing with dynamic demands is diminishing the importance of locating rather than allocating part. In this article the proposed method suggested dynamic location for resources in order to allocating them to the plea. The advantage of proposed method, which is a combination of statistical local K-function and non-statistical hierarchical clustering methods, lies in division of urban region into correlated and non-correlated parts. In order to deploy local K-function, Monte Carlo simulation has been applied. The Correlated and non-correlated parts are being constituted by local k-function in wide-extend; in continue they should shrink using hierarchical method. The small clusters should meet two conditions: 1) consuming accident experts’ capacity as much as possible 2) not overrunning duration of reaching accident experts to collision places from a standard quantity. Evaluations show a considerable efficiency in weekdays except midnight hours. However, deploying just hierarchical method on weekends and midnight hours leads to better efficiency and also reduction in number of accident experts LA eng UL http://jgit.kntu.ac.ir/article-1-293-en.html M3 10.29252/jgit.3.3.75 ER -