There are several methods for the analysis of road accidents in a road network. In Hungary from 2011 GPS coordinates are used to identify the location of personal injury accidents. This method significantly improves the display of locations of accidents on the map, which can be then analyzed using GIS tools. Accident black spots are the most dangerous places in road networks identified by the density of the accidents in the network. One of the analysis methods is the accident density searching. The methods and algorithms used in some software may show differences in relation to one another. The aim of this research is comparing two applications by investigating the local road network in GyĘr. The analysis was made using the WEB-BAL accident analysis software using the density-based spatial clustering of applications with noise procedure and the QGIS software using the kernel density estimation method. The former is the official accident database and online software used for accident investigations and the latter is an open source geographic information system. The results are visualized in accident density plots and black spot maps.
This paper deals with the road patterns of housing estates in eight Hungarian cities. The investigation was directed to the characteristic of street networks using geographic information system. The different types of housing estates were compared using the following indicators: ratio of T and X junctions, ratio of the dead ends, average distance between nodes, connectivity index, and road density. It is concluded that according to their street network the housing estates have three periods.
Public open spaces in campuses are social places for students and staffs. Convenient accessibility both physical and visual is the main factor that attracts people to use these spaces. This article analyses the physical layout of public open spaces through their relationship with the surrounding. The purpose of this study is to compare the relationship between public open spaces and pedestrians in the campuses. The case study conducted in four campuses located in Thailand and Hungary. In order to get the required data, spatial analysis from Geographic Information System and observation survey was employed as qualitative techniques. The study revealed that pedestrian facilities are the most important accessibility types in public open spaces in each campus. The different lengths of pedestrian facilities are related with three factors of campuses' layout. They are the size, surrounding and design elements of the campuses and their public open spaces.
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