نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد گروه جغرافیا، دانشگاه فردوسی مشهد
2 گروه جغرافیا، دانشکده ادبیات و علوم انسانی، دانشگاه فردوسی مشهد، مشهد، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Introduction: Among the various factors that affect the decisions of urban managers, the role of spatial differences has received less attention.
The city of Mashhad is one of the special examples of urbanization growth in Iran. Due to its special location and as the most important urban point in the east of the country, this city has been the destination of many rural migrations and even the destination of non-Iranian immigrants to Bozeh for many years. The northern areas of this city have provided a suitable platform for unauthorized construction and marginal areas due to the possession of vast agricultural lands and the absence of natural restrictions. Area 3 in the north of this city is considered one of the important areas in this regard. This area, with its physical diversity, the presence of worn-out textures, marginal settlements, and spaces of regional importance, is considered a sensitive urban area (Rahimi, 2016). A review of the available data indicates that among the areas of Mashhad, the most construction violations occur in Area 3, and this area ranks first in this regard. According to the latest statistics in 1401, 1437 votes were issued in the Municipality's Article 100 Commission for construction violations in this area, which accounts for 16% of the votes issued by the Article 100 Commission in Mashhad. The votes issued in this area include a variety of demolition and demolition of buildings, fines, sealing, issuing orders, etc. Given the extensive activity of the Article 100 Commission in this area and the issuance of numerous votes, on the one hand, and the diversity of the texture and location, and the existence of various and important physical elements in the area, on the other hand, this study attempts to examine the type of votes issued based on spatial factors. In other words, has the location and conditions of the property been effective in the type of votes issued? In other words, have spatial differences been able to direct the mental image and quality of the votes issued by the Article 100 Commission for construction violations?
Research Method: Considering the purpose of the study, the research method was a combination of descriptive and analytical methods. Accordingly, after document studies, a conceptual model of the research was developed. Based on the conceptual model, the causes and quality of the votes issued by the Article 100 Commission were classified according to four factors: economic, social, physical, and the nature of the violation. Next, by referring to the Municipality of Region 3, data on construction violations were obtained based on the location of the property. The total number of violations that led to a vote in the Article 100 Commission included 1,437 properties in 1401. An attempt was made to create a spatial database to identify the location of each vote on the map of Mashhad and store the information on each in this database. This information included the type of violation, the amount of the violation, the date of the violation, the type of vote issued, and the type of use. Also, this database identified the relative location, land price, plot size, and its distance from important surrounding uses. In other words, a matrix of the aforementioned information and data was collected for each of the buildings that led to the issuance of the vote. This matrix, consisting of 1437 rows (buildings with violations that resulted in the issuance of votes) and 14 columns (features related to the type of vote issued and the location of each building), was also collected. In the next step, data analysis was conducted using spatial and statistical models. This study was conducted at two levels: macro and micro. At the macro level, spatial patterns governing the votes issued by the Article 100 Commission were identified by using spatial models such as "center of gravity", "density maps" and "standard distance ellipses" according to the type of vote. At the micro level, an attempt was also made to analyze the votes issued according to the location of the building. At this scale, statistical models such as orthogonal tables and the discriminant analysis model were used. Finally, the results were summarized by combining and analyzing the findings.
Result: The initial results showed that fines, closures and demolition of buildings constitute the most important votes issued by the Article 100 Commission. Further use of spatial analyses confirmed the existence of different spatial patterns of votes in the area of Region 3. Supplementary results indicated that spatial criteria had a significant effect on the choice of vote type. For example, the vote type in terms of the rial value of land in different locations showed spatial differences. Also, inferential findings indicated that among the spatial components, proximity to the main land uses, especially parks, played the most important role in the type of votes cast.
Conclusion: Therefore, it seems that awareness and relative recognition of the place under management and understanding of important spatial components, including special needs, should be considered in the decision-making process of urban managers.
کلیدواژهها [English]
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