Spatial analysis of green areas and assessment of their current status in the Qudsaya suburb in the Damascus countryside

Abstract

The research was carried out in the Qudsaya suburb of the Damascus countryside for the year 2022 AD with the aim of studying the numerical and spatial distribution and the rate of investment in green areas, as they constitute the most important planning components in modern cities. They constitute the lung of the city and its cultural destination. Spatial analysis tools were used in geographic information systems, and the results showed a difference in the numerical distribution of green areas. Between the islands, from 9 areas on the island F2, with an investment rate of 55.6% as green areas, to 32 areas on the island C1, with the lowest investment percentage for areas allocated to green areas. It reached 12.5%, while the highest investment value reached 58.8% on the island D1, as it contains an invested public park, and the pockets of buildings and private areas were planted with individual efforts by the residents there, but they are random and unorganized crops on all islands, which shows the necessity of developing design programs and plans. And deliberate steps to invest in green areas.

The results of the neighborhood relatedness analysis showed that the green areas were subject to a divergent, unorganized distribution at the level of all suburbs and islands, and the nearest neighbor values ​​did not reach a regular distribution, so the value of the nearest neighbor in the suburb was 1.19, and in Island A it was equal to 1.14, with a significant difference, as the distribution was divergent and unorganized, noting the difference in neighbor values. The closest in the rest of the islands ranged between 1.24-1.36, as it can be considered weakly close to a regular distribution, and its values ​​were limited to between 1.42-1.68, so the distribution was closer to regular, but it was not achieved, which indicates the weakness of the factors of good planning for green areas or the factors of coincidence, which showed results close to the distribution. In general, the reasons for the lack of efficiency of green areas were divided into two parts, one of which was related to planning and often coincidences in the distribution of green areas.

The results of the neighborhood relatedness analysis showed that the green areas were subject to a divergent, unorganized distribution at the level of all suburbs and islands, and the nearest neighbor values ​​did not reach a regular distribution, so the value of the nearest neighbor in the suburb was 1.19, and in Island A it was equal to 1.14, with a significant difference, as the distribution was divergent and unorganized, noting the difference in neighbor values. The closest in the rest of the islands ranged between 1.24-1.36, as it can be considered weakly close to a regular distribution, and its values ​​were limited to between 1.42-1.68, so the distribution was closer to regular, but it was not achieved, which indicates the weakness of the factors of good planning for green areas or the factors of coincidence, which showed results close to the distribution. In general, the reasons for the lack of efficiency of green areas were divided into two parts, one of which was related to planning and often coincidences in the distribution of green areas. Weakness in studying its good distribution, and the second part in the lack of investment in the spaces that were allocated as green areas.

The research concluded that it is necessary to highlight the role of geographical information systems for making planning decisions, increasing the efficiency of green areas, and increasing their functional size, as this reflects on the urban environment of the suburb.