مطالعات بازآفرینی شهری

مطالعات بازآفرینی شهری

ارزیابی و تحلیل آسیب‌پذیری مسکن شهری در برابر بحران زلزله (مطالعة موردی: منطقة 4 شهر شیراز)

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه مهندسی شهرسازی، دانشکده فنی و مهندسی، دانشگاه سلمان فارسی کازرون، کازرون، ایران.
2 دانشجوی دکتری، گروه جغرافیا و برنامه ریزی روستایی، دانشکده علوم جغرافیایی و برنامه ریزی، دانشگاه اصفهان، شهر اصفهان، ایـران.
10.22034/jurs.2025.526808.1004
چکیده
کلان­شهرهای کشور ایران در برابر بحران­های طبیعی از جمله زلزله آسیب­پذیر هستند. ممکن است به دلیل عدم آمادگی کافی و نبود مدیریت بحران، با وقوع زلزله به ویژه در کلان­شهرها شاهد تلفات بالای جانی و مالی باشیم. با آگاهی از این موضوع که اگر جلوگیری از وقوع بعضی بحران ها امکان­پذیر نیست، اما کاهش آسیب­های ناشی از آن امکان­پذیر است؛ مهمترین هدف این پژوهش ارزیابی خطر­پذیری منطقه 4 شهر شیراز در برابر بحران زلزله برای رسیدن به این مهم است.
روش تحقیق پژوهش حاضر توصیفی-تحلیلی است و اطلاعات مورد نیاز آن از طریق میدانی و کتابخانه­ای گردآوری شده است. در این پژوهش ابتدا شاخص­های موثر در آسیب­پذیری از جمله شاخص درجه محصوریت، تراکم ساختمانی، تعداد طبقات و ...... شناسایی و انتخاب گردید، سپس از طریق روش تحلیل سلسله مراتبی (AHP) لایه­ها وزن­دهی و درنهایت عملیات روی­ هم­گذاری آن­ها و تهیة نقشة پهنه­بندی در محیط GIS انجام پذیرفت. نتایج این پژوهش نشان می­دهد غالب قطعات منطقة 4 شهر شیراز در محدودة آسیب­پذیر زیاد قرار دارند. همان­گونه که از نقشة پهنه­های آسیب­پذیر محدوده مشخص است، شمال شرقی منطقه و همچنین غرب منطقه (محله کشن) درمحدودة با آسیب­پذیری زیاد و خیلی زیاد قرار دارد و سایر قسمت­های منطقه با توجه به نوع بافت آن در محدودة با آسیب­پذیری متوسط و زیاد واقع شده­اند. در سایر بخش­های محدوده انواع آسیب­پذیری از قانون خاصی تبعیت نمی­کند.
 




 
کلیدواژه‌ها

عنوان مقاله English

Evaluation and Analysis of Urban Housing Vulnerability in Metropolises Against Earthquake Crisis (A Case Study: District 4 of Shiraz City)

نویسندگان English

Meysam Rezaei 1
Fatemeh Shaer 2
1 Department of Urban Planning, Faculty of Engineering and Technology, Salman Farsi University of Kazerun, Kazerun, Iran.
2 PhD Student, Department of Rural Planning, Faculty of Geographic Sciences and Planning, University of Isfahan, Isfahan, Iran
چکیده English

Metropolises in Iran are vulnerable to natural disasters, including earthquakes. Due to insufficient preparedness and the lack of crisis management, an earthquake, especially in major cities, could result in high human and financial losses. Recognizing that while preventing certain crises may not be possible, mitigating their impacts is achievable, the primary objective of this study is to assess the earthquake risk level in District 4 of Shiraz City to contribute to this goal.
This research follows a descriptive-analytical methodology, with data collected through field surveys and library research. The study first identifies and selects key vulnerability indicators such as enclosure degree, building density, number of floors, and others. Subsequently, the Analytic Hierarchy Process (AHP) is used for layer weighting, followed by overlay operations and the development of a zoning map within the GIS environment.
The findings indicate that most of the plots in District 4 of Shiraz City fall within highly vulnerable zones. As seen in the vulnerability zoning map, the northeastern section and the western part (Koshan neighborhood) are classified as high and very high vulnerability zones, while other sections, depending on their urban texture, fall into medium to high vulnerability categories. In other parts of the district, patterns of vulnerability do not follow a specific rule.

کلیدواژه‌ها English

Crisis Management
Earthquake Crisis
Geographic Information System (GIS)
Metropolis of Shiraz
District 4

1. Introduction  

Earthquakes represent one of the most devastating natural hazards, posing serious risks to urban communities. Iran’s geotectonic positioning within a major seismic belt renders the country particularly vulnerable to frequent and high-magnitude seismic events. The metropolis of Shiraz, surrounded by active fault lines such as Zarghan and Qalat, faces considerable seismic exposure. Among its administrative districts, District 4 is especially susceptible due to specific physical, social, and infrastructural characteristics. This study aims to evaluate the housing vulnerability of this district using multi-criteria analysis and spatial modeling within a GIS framework. The ultimate goal is to support crisis management planning and offer targeted strategies to mitigate risk in this densely populated urban sector.

2. Materials and Methods

The research is an applied research study utilizing a descriptive–analytical methodology. Data collection encompassed field surveys, urban maps, demographic statistics, and literature reviews. Spatial analysis was conducted using the Analytical Hierarchy Process (AHP) in combination with GIS tools. Key indicators included plot enclosure ratio, number of building stories, structural density, construction quality, material type, parcel dimensions, land-use adjacency, and access network configuration. Each criterion was standardized, weighted, and incorporated into an Index Overlay model to generate a seismic vulnerability map. The final output categorized the residential blocks into five classes: very low, low, moderate, high, and very high vulnerability.

3. Results and Discussion

Findings reveal that over 57% of building plots in District 4 fall within the "high" and "very high" vulnerability categories. Northeastern and western sub-zones, especially the Keshan neighborhood, exhibit elevated risk due to narrow street widths, non-engineered materials, irregular parcel layouts, and aged urban texture. Conversely, planned developments such as Valfajr Town, Kouy-e Farhangian, and other large-scale residential complexes benefit from durable construction, standardized networks, and organized layouts, placing them in lower-risk zones. Age analysis showed that 18% of buildings are older than 22 years, many constructed with low-durability or traditional materials (e.g., adobe and timber). These structures present heightened collapse risk. Social indicators such as household density (1.19 households per unit) and room occupancy rate (1.23 persons per room) further compound evacuation and emergency response challenges during an earthquake.

The district's access network is largely fragmented, with narrow, dead-end streets and corridors less than 6 meters wide. These access constraints magnify the difficulty of post-disaster rescue operations. The enclosure ratio, defined by the height of building facades relative to street width, is also notably high in older areas, reducing visibility and obstructing relief logistics. Land-use adjacency analysis revealed that residential blocks are in close proximity to hazard-prone zones such as industrial facilities, fuel stations, and critical infrastructure. This spatial incompatibility increases the likelihood of secondary disasters (e.g., fire, gas leakage). Moreover, the district displays an overall spatial heterogeneity in its urban morphology, where organic, fragmented, and large-scale patterns co-exist without a unified planning framework, a condition referred to in urban planning terminology as spatial discontinuity or uneven spatial distribution. Such inconsistencies elevate systemic risks and undermine urban resilience.

4. Conclusions

District 4 of Shiraz presents a high level of seismic vulnerability, particularly in older residential sectors characterized by irregular form, dense population, and inadequate access infrastructure. To reduce potential damages from future earthquakes, the following strategic interventions are recommended:

  • Reconstruction and structural reinforcement of deteriorated buildings using advanced technologies;
  • Reconfiguration of the access network to eliminate dead ends and widen emergency routes;
  • Designation of safe zones for the deployment of rescue and relief facilities;
  • Implementation of regulatory frameworks to manage the adjacency of hazardous land uses;
  • Promotion of public crisis awareness through education, urban drills, and citizen engagement;
  • Development of smart disaster management systems based on spatial data and predictive analytics.

This research underscores the utility of multi-criteria spatial modeling in GIS environments as a robust decision-support tool for urban crisis management and resilient planning.

  • تاریخ دریافت 07 خرداد 1404
  • تاریخ بازنگری 11 خرداد 1404
  • تاریخ پذیرش 22 خرداد 1404
  • تاریخ اولین انتشار 22 خرداد 1404
  • تاریخ انتشار 01 مرداد 1404