The primary objective of this study is to analyze the national and provincial road network in the city of Constantine, employing a range of quantitative methods commonly used in transportation geography. The aim is to assess the current state of the city's road network, its adequacy, efficiency, and suitability in meeting the needs of the population. This evaluation will be conducted in terms of accessibility, connectivity between network components, and efficiency as measured by curvature and traffic volume. While transportation geography offers a variety of quantitative measurement techniques, this research will focus on four primary methods: (1) Network analysis based on the curvature index: This method will assess the efficiency of the road network by evaluating the degree of curvature of the road segments, (2) Network analysis based on daily traffic volume: This method will examine the capacity of the road network by measuring the volume of traffic on each road segment, (3) Network analysis based on connectivity and road dispersion: This method will assess the level of connectivity between different parts of the network and the overall distribution of roads within the study area, (4) Network analysis based on traffic volume density: This method will evaluate the concentration of traffic on the road network.

Turiec is one of the traditional regions of Slovakia, which is often described as romantic, unique, quirky and one the kind (Vahot in Demmel, 2022). Not only natural heritage, but also historic-cultural and etnographic legacy allows to create region of tourism with wide variability of available choices. One of the avaliable choices is the use of existing cycling network, which covers the large part of the region, connects majority of municipalities and allows visiting surrounding mountains and foothill areas. Objective of this article is to evaluate the network of cycle paths in the region, using a selected methodical procedure for creating the “bikeability“ index, while thanks to the created map outputs will be possible to point out suitable or less suitable locations, but also locations where new cycle paths could be created in the future. In this article, based on the achieved results, we propose practical submissions for pottencial new cycle paths, which could be marked in the future.

Spatial perspectives in migration studies have mainly focused on the distribution and housing of migrant populations or the effects of different places on wellbeing. Places provide a sense of belonging and allow migrants to develop positive feelings about the locations where they live. In this article, we analyse the significance of cities in the process of migrants’ self-identification. Rather than focusing on neighbourhood or country, we point at the significance of the scale of the city. In the case of Turkish migrants, empirical results from two different cities, The Hague (The Netherlands) and Aachen (Germany), showed that a well-developed urban-related identity among migrants leads to strong positive attitudes towards the country. Despite the fact that predictors of urban-related identity differ in the two cities, we found that the effect of strong urban-related identity as a contributor to positive attitudes towards the country they live in is the same. Thus, we argue that a well-developed urban-related identity can be seen as an indicator for a higher sense of belonging’ to the country as a whole.

In this paper, we try to provide a geographic prediction model for burned forest areas, the research was done using multiple criteria to find spatial compatibility in geographic information systems (ArcGIS), basically 6 criteria have been adopted, which are the vegetation cover, the distance from inhabited areas, control centers, water sources, slope, roads and forest paths, This model was applied to the mount of Sidi Reghis in the province of Oum El- Bouaghi , which has been affected by many fires before, research shows that many areas are still vulnerable and may provide the appropriate conditions to define the crime of arson, which will be difficult to control. Although the precise identification of these areas requires a high degree of precision in the data used, this research attempts to provide a model that can be used to help decision-making and increase the willingness of authorities to deal with these behaviors. And to take proactive decisions to prevent these fires, including opening mountain trails, increasing monitoring centers, providing water sources, or trying to develop mountain areas to create more favorable conditions for settlement of tourist activities, or even the concentration of the population. The research also aims to protect the inhabitants of the city of Oum El-Bouaghi from the disastrous consequences that can be caused by fires in this mountain.

The SARS-CoV-2 virus, which is the cause of the pandemic called COVID-19, has led to many problems in the organization of the life of the world's population, especially in urban areas where the population density is high. In urban areas, there is a greater possibility of transmitting the infection due to the proximity of people and their constant circulation. Therefore, the urban areas are the ones most exposed to the pandemic. The purpose of this study was to ascertain the relationships between urban population density and COVID-19 mortality rates in Serbia. Following that, the pandemic's effect on the rise in fatalities in urban and rural areas was investigated. Comparison methods, cartographic method and descriptive statistics were used. It was determined that the areas with the highest population density have a slightly higher number of deaths. However, in addition to these areas, some other areas in Serbia also have higher mortality rate, which is influenced by the large average age of the population, but also some other factors that require additional and deeper interdisciplinary research.