Utilizing UAV for the Detection of Vacant Urban Spaces: Implications for Sustainable Infill Development

Yıl 2025, Cilt: 6 Sayı: 1, 1 - 11, 26.03.2025

Ali Shojaeean

Öz

Vacant and abandoned land are important sources of endogenous urban development. Ahvaz, one of the largest cities in southern Iran, has undergone significant physical expansion. Consequently, identifying suitable land for new development is essential for urban authorities. This research aimed to identify vacant urban land in Ahvaz using UAV images. The identification process was based on two criteria: "Urban Morphology" and "Distribution Pattern," which guided the extraction of urban vacant lands. The methodology included standardized image processing, categorization of vacant spaces, and statistical analysis to ensure accuracy and reliability. The first step was to identify the location of vacant lands in Ahvaz using images. Next, suitable locations for infill development were categorized into 6 groups based on their number and area. The density and distribution of these spaces were then examined using the index of the shape of the vacant plots and the Kernel function. The findings revealed that the largest area of vacant land was categorized as "barren with vegetation." In terms of distribution patterns, zones 2 and 1 of Ahvaz city exhibited the largest and smallest vacant land areas, respectively. This indicates a correlation between urban development levels and the availability of vacant spaces, suggesting that more developed areas tend to have fewer vacant lands. Moreover, zone 2 had the largest amount of vacant land in the town, followed by zones 8 and 6.

Anahtar Kelimeler

UAV, Vacant urban land, Infill development, Ahvaz city

Boş Kentsel Alanların Tespiti için İHA Kullanımı: Sürdürülebilir Dolgu Gelişimi Üzerine Etkileri

Öz

Boş ve terk edilmiş araziler, içsel kentsel gelişimin önemli kaynaklarıdır. Güney İran'ın en büyük şehirlerinden biri olan Ahvaz, önemli ölçüde fiziksel genişleme geçirmiştir. Sonuç olarak, yeni gelişim için uygun arazilerin belirlenmesi kent yetkilileri için çok önemlidir. Bu araştırma, İHA görüntülerini kullanarak Ahvaz'daki boş kentsel arazileri tespit etmeyi amaçlamıştır. Tanımlama süreci iki kritere dayanmaktadır: Kentsel boş arazilerin çıkarılmasına rehberlik eden “Kentsel Morfoloji” ve “Dağılım Modeli”. Metodoloji, doğruluk ve güvenilirliği sağlamak için standartlaştırılmış görüntü işleme, boş alanların kategorizasyonu ve istatistiksel analizi içermektedir. Çalışmanın ilk adımda, İHA görüntüleri kullanılarak Ahvaz'daki boş arazilerin yerleri belirlenmiştir. Daha sonra, dolgu geliştirme için uygun yerler, sayılarına ve alanlarına göre 6 gruba ayrılmıştır. Bu alanların yoğunluğu ve dağılımı, daha sonra boş arazilerin şekil indeksi ve Kernel fonksiyonu kullanılarak incelenmiştir. Bulgular, en büyük boş arazinin “bitki örtüsüyle çorak” olarak kategorize edildiğini ortaya koymuştur. Dağılım açısından, en büyük ve en küçük boş arazi alanlarını Ahvaz şehrinin 2. ve 1. bölgeleri içermektedir. Bu durum, kentsel gelişim seviyeleri ile boş alanların mevcudiyeti arasında bir korelasyon olduğunu göstermekte ve daha gelişmiş bölgelerin daha az boş araziye sahip olma eğiliminde olduğunu düşündürmektedir. Ayrıca, 2. bölge şehirdeki en büyük boş arazi miktarına sahipken, onu 8. ve 6. bölgeler takip etmektedir.

Anahtar Kelimeler

İHA, Boş kentsel arazi, Dolgu geliştirme, Ahvaz şehri

Kaynakça

• Ahvaz, S. C. (2018). Report of the second five-year plan for the development and construction of Ahvaz city during the period 2017–2018. https://planning.ahvaz.ir/Portals/3/FilesSubDomain/pdf/pdf-94/5sale
• Ahvaz, S. C. (2023). Statistical report of Ahvaz metropolis 2023. https://planning.ahvaz.ir/Portals/3/FilesSubDomain/ pdf/amarname1402/amar-1402.pdf
• Anderson, E. C., & Minor, E. S. (2018). Assessing social and biophysical drivers of spontaneous plant diversity. The Science of the Total Environment, 653, 1272–1281. https://doi.org/10.1016/j.scitotenv.2018.10.440
• Arvin, M., & Zanganeh, S. (2020). Investigation of barriers to infill development approach: A case study of Ahvaz City. Journal of Sustainable City, 3(1), 71-87.
• Arvin, M., & Pourahmad, A. (2022). Structural modeling of measuring social acceptance of compact cities. Geographical Studies of Desert Areas, 10(1), 189-216.
• Bahadori, B. (2020). Evaluation and analysis of the horizontal expansion of Ahvaz metropolis. Urban Studies Quarterly, 3(8), 4–19.
• Chen, L., & Conroy, M. M. (2023). Vacant urban land temporary use and neighborhood sustainability. Journal of Urban Affairs, 46(10), 2084–2108. https://doi.org/10.1080/07352166.2023.2168551
• Davidson, M., & Dolnick, F. (2004). A planner’s dictionary (Planning Advisory Service Report Number 521/522). American Planning Association. https://planning-org-uploaded-media.s3.amazonaws.com/publication/download_pdf/PAS-Report-521-522.pdf
• Hamidi, M. S., Heidarlou, H. B., Furst, C., & Nazmfar, N. (2022). Urban infill development: A strategy for saving peri-urban areas in developing countries: The case study of Ardabil, Iran. Land, 11(4), Article 454. https://doi.org/10.3390/land11040454
• Hosseini, S. M., Amanpour, S., & Maleki, S. (2024). Predicting and explaining the structural components of demographic changes in the metropolis of Ahvaz. Geography and Urban Space Development, 11(3), 83–106.
• Khazaie, Z. (2021). Infill development: Urban growth strategy. Entekhab Publications.
• Kim, G., Miller, P. A., & Nowak, D. J. (2015). Assessing urban vacant land ecosystem services: Urban vacant land as green infrastructure in the city of Roanoke, Virginia. Urban Forestry & Urban Greening, 14(3), 519–526.
• Majidizadeh, A., Hasani, H., & Jafari, M. (2023). Semantic segmentation of UAV images based on U-Net in urban areas. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4/W1, 19–25.
• Ministry of Land and Resources of the People’s Republic of China. (2012). Regulation on idle land disposal (06-01). https://www.mayerbrown.com/en/perspectives-events/publications/2012/06
• Nemeth, J., & Langhorst, J. (2014). Rethinking urban transformation: Temporary uses for vacant land. Cities, 40, 143–150. https://doi.org/10.1016/j.cities.2013.06.007
• Newman, G., Park, Y., Bowman, A. O. M. & Lee, R. J. (2018). Vacant urban areas: Causes and interconnected factors. Cities, 72, 421–429. https://doi.org/10.1016/j.cities.2017.10.005
• Peter, N. J., Fateye, T. B., Okagbue, H. I., Abonta, G., & Ibısola, A. S. (2022). Infill development and its attendant consequences on property value: Evidence from Gwarinpa, Abuja, Nigeria. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), 10(3), 2203–2218.
• Sajjadian, N., & Daman, B., S. (2018). Analyzing the role of the political environment and mental perception in the difference in the vitality level of Ahvaz citizens. Zagros Landscape Geography and Urban Planning Quarterly, 13(4), 143–166.
• Song, X., Wen, M., Shen, Y., Feng, Q., Xiang, J., Zhang, W., Zhao, G., & Wu, Z. (2020). Urban vacant land in growing urbanization: An international review. Journal of Geographical Sciences, 30(4), 669–687.
• Stewart, W. P., Gobster, P. H., Rigolon, A., Strauser, J., Williams, D. A., & van Riper, C. J. (2019). Resident-led beautification of vacant lots that connects place to community. Landscape and Urban Planning, 185, 200-209.
• The World Bank. (2021). Urban population - European Union. https://data.worldbank.org/indicator/ SP.URB.TOTL.IN.ZS?locations=EU.
• Tu, T., Wang, X., & Long, Y. (2024). Spatiotemporal changes of urban vacant land and its distribution patterns in shrinking cities on the globe. Science of the Total Environment, 947, Article 174424. https://doi.org/10.1016/j.scitotenv.2024.174424
• Xu, S., & Ehlers, M. (2022). Automatic detection of urban vacant land: An open-source approach for sustainable cities. Computers, Environment and Urban Systems, 91, Article 101729. https://doi.org/10.1016/j.compenvurbsys.2022.101729
• Xu, Z. N., & Gao, X. L. (2016). A novel method for identifying the boundary of urban built-up areas with POI data. Acta Geographica Sinica, 71(6), 928–939. http://www.geog.com.cn/EN/Y2016/V71/I6/928
• World Bank Group. (2019). World Bank data. http://data.worldbank.org.cn/indicator