Analysis of Spatial Patterns of Concentration of Extra Urban Functions in Tehran Metropolis

Document Type : Original Article

Author
Ph.D. in Geography and Urban Planning, Department of Geography and Urban Planning, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran
Abstract
Urban functions refer to a set of actual urban space uses that not only describe the configuration of the physical environment but also reflect social and economic spatial patterns of human activities at a general level, influencing many urban processes. Therefore, this research aims to analyze the spatial patterns of suburban functions concentration in the Tehran metropolis. The research method is cognitive in terms of objective, applied in terms of nature, and descriptive-analytical in terms of type. Data collection involves library research, fieldwork, and secondary analysis methods. Suburban functions include urban facilities, industrial-workshop, transport-storage, services-commercial, leisure-tourism, cultural-historical, and administrative-political, based on the LBCS system. Spatial statistics (average nearest neighbor distance and directional distribution) were used for data analysis. The research results in the spatial distribution section indicate that the concentration of overall suburban functions in the areas of Tehran city has clustered distribution, considering the nearest neighbor index (0.408) and its Z score (-212.91). Additionally, based on directional distribution, the concentration of overall suburban functions is in the central regions of Tehran and distributed in the west-east direction. Therefore, a balance in the spatial distribution of the concentration of overall suburban functions in the areas of Tehran city is not observed, and it is expected that there is a significant difference in the level of areas in terms of the presence of these suburban functions.

Keywords

Subjects


·      آهنگری، نوید (1398)، تبیین پیامدهای تراکم کارکردهای فرا شهری بر کیفیت محیط محله­های شهری؛ مورد: منطقه 12 شهر تهران، (رساله دوره دکتری جغرافیا و برنامه‌ریزی شهری)، استاد راهنما دکتر محمد سلیمانی و دکتر احمد زنگانه، دانشکده جغرافیا، دانشگاه خوارزمی، تهران.
·      داداش‌پور، هاشم و سالاریان، فردیس. (1397)، تحلیل الگوهای فضایی رشد شهری در مناطق کلان‌شهری ایران (مطالعه موردی: مناطق کلان‌شهری تهران، مشهد، اصفهان و شیراز)، آمایش سرزمین، 10(1)، 138-117.
·      نگانه، احمد، عزیزی، حسین، و منصور زاده، علی محمد. (1397)، تحلیلی بر عوامل ناهمگونی سازمان فضایی منطقه یک کلان­شهر تهران، مطالعات عمران شهری، پیاپی 7‌، 92-74.
·      لیمانی مهرنجانی، محمد، زنگانه، احمد، کرمی، تاج‌الدین و آهنگری، نوید (1397)، تحلیل پیامدهای تراکم کاربری‌های شهری و فرا شهری بر کارکرد محله‌ای - موردپژوهش: منطقه 12 کلان‌شهر تهران، مطالعات ساختار و کارکرد شهری، 5(17)، 169-142.
·      شکویی، حسین (1391)، دیدگاه­های نو در جغرافیای شهری، جلد اول، چاپ پانزدهم. تهران، انتشارات سمت، 592.
·      منصوریان، حسین (1395)، پویش جمعیتی و الگوهای پوشش زمین در منطقه کلان­شهری تهران، پژوهش­های جغرافیایی برنامه­ریزی شهری، 4(4)، 633 -6113.
·      Bertaud, A. (2004). The Spatial Organization of Cities: Deliberate Outcome or Unforeseen Consequence? UC Berkeley: Institute of Urban and Regional Development. Retrieved from:
·      Bosch, M., & Chenal, J. (2020). Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: Insights from landscape metrics, growth modes and fractal analysis. Landscape Ecology, 35, 879–891.
·      Cengiz, S., Görmüş, S., & Oğuz, D. (2022). Analysis of the urban growth pattern through spatial metrics; Ankara City, Land Use Policy, 112.
·      Chakraborty, S., Maity, I., Patel, P.P., Dadashpoor, H., Pramanik, S., Follmann, A., Novotný, J.,& Roy, U. (2021). Spatio-temporal patterns of urbanization in the Kolkata Urban Agglomeration: A dynamic spatial territory-based approach, Sustainable Cities and Society, 67, 102715.
·      Chen, T., Deng, S, & Li, M. (2018). Spatial Patterns of Satellite-Retrieved PM2.5 and Long-Term Exposure Assessment of China from 1998 to 2016. Int. J. Environ. Res. Public Health, 15(12), 2785.
·      Chen, Y., Chen, X., Liu, Z., & Li, X. (2020), Understanding the spatial organization of urban functions based on colocation patterns mining: A comparative analysis for 25 Chines cities, Cities, 97, 102563.
·      Chi, Y., Zhang, Z., Gao, J., Xie, Z, Zhao, M., & Wang, E (2019). Evaluating landscape ecological sensitivity of an estuarine island based on landscape pattern across temporal and spatial scales, Ecological Indicators, 101, 221-237.
·      Crooks, A., Pfoser, D., Jenkins, A., Croitoru, A., Stefanidis, A., Smith, D., & Lamprianidis, G. (2015). Crowdsourcing urban form and function. International Journal of Geographical Information Science, 29(5), 720–741.
·      Eck, E, J., Chainey, S., Cameron, J., Leitner, M., & Wilson, R. (2009). Mapping Crime: Understanding Hot Spots, U.S. Department of Justice, Office of Justice Programs, National Institute of Justice.
·      Esri. (2019). How average nearest neighbor works. Retrieved February 28, 2019, from:
·      u, B., Liang D., & Lu, N. (2019). Landscape ecology: Coupling of pattern, process, and scale. J. Chin. Geographical Sciences. 21,385–391.
·      Glaster, G., Hanson R., Ratcliffe, M. R., Wolman, H., Coleman, S., & Freihage, J. (2001). Wrestling Sprawl to the Ground: Defining and Meaturing an Elusive Concept. Housing Policy Debate, 12 (4). 681-717.
·      Hao, F., Yang. Y.,& Wang, S. (2021), Patterns of Location and Other Determinants of Retail Stores in Urban Commercial Districts in Changchun, China, Complexity, 2021(2), 1-14.
·      Harvey, D. (1973). Social Justice and the City (REV-Revised). University of Georgia Press.
·      Hietel, E., Waldhardt, R., & Otte A. (2004). Analysing land-cover changes in relation to environmental variables in Hesse, Germany. Landscape Ecology, 19, 473–489.
·      Hou, L., Wu, F., & Xie, X. (2020). The spatial characteristics and relationships between landscape pattern and ecosystem service value along an urban-rural gradient in Xi’an city, China. Ecological Indicators. 108, 105720.
·      Huilei, L., Jian, p., Yanxu, li, & Yi’na, H. (2017). Urbanization impact on landscape patterns in Beijing City, China: A spatial heterogeneity perspective, Ecological Indicators, 82,50–60.
·      Lahmar, B., Dridi, H. & Akakba, A. Territorial health approach outputs of geo-governance of health facilities: case study of Batna, Algeria. GeoJournal, 86, 2305–2319.
·      Li, D., Wu, S., Liang, Z., & Shuangcheng, L. (2020). The impacts of urbanization and climate change on urban vegetation dynamics in China. Urban Forestry & Urban Greening, 54.
·      Li, H., Zhao, T., & Ge, N. (2021a). Analysis of the Spatial Distribution Pattern of the Urban Landscape in the Central Plains under the Influence of Multiscale and Multilevel Morphological Geomorphology, Hindawi, Complexity, 2021, 10.
·      Li, Z., Jiao, L., Zhang, B., Xu, G., & Liu, J. (2021b). Understanding the pattern and mechanism of spatial concentration of urban land use, population and economic activities: A case study in Wuhan, China. Geo-spatial Information Science, 24(4), 678-694
·      Liu, Z., Wu, R., Chen, Y., Fang, C., Wang, S. (2021). Factors of ecosystem service values in a fast-developing region in China: Insights from the joint impacts of human activities and natural conditions. Journal of Cleaner Production, 297, 126588
·      Matsuoka, R.H., & Kaplan, R. (2008). People needs in the urban landscape: analysis of landscape and urban planning contributions. Landscape and Urban Planning, 84 (1) 7–19.
·      Moore, T.W., & McGuire, M.P. (2019). Using the standard deviational ellipse to document changes to the spatial dispersion of seasonal tornado activity in the United States. npj climate and atmospheric science, 2, 21.
·      Niu, H., & Silva, E.A. (2021).Delineating urban functional use from points of interest data with neuralnetwork embedding: A case study in Greater London, Computers, Environment and Urban Systems, 88.
·      Rodrigue, J. P., Claude, C. and Brian, S. (2009). The Geography of Transport Systems. New York: Routledge.
·      Savard, J.P.L., Clergeau, P., & Mennechez, G. (2000). Biodiversity concepts and urban ecosystems. Landscape Urban Plan, 48 (3–4), 131–142.
·      Seto, K. C., Guneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expan-sion to 2030 and direct impacts on biodiversity and carbon pools. Proceedingsof the National Academy of Sciences of the United States of America, 109(40),16083–16088.
·      Wang, B., Shi, W. Z., & Miao, Z. L. (2015). Confidence Analysis of Standard Deviational Ellipse and Its Extension into Higher Dimensional Euclidean Space. PLOS One, 10(3): e0118537.
·      Wang, Q., & Wang, H. (2022). Spatiotemporal dynamics and evolution relationships between land-use/land cover change and landscape pattern in response to rapid urban sprawl process: A case study in Wuhan, China, Ecological Engineering, 182.
·      Wu, J. (2004). Effects of changing scale on landscape pattern analysis: Scaling relations. J. Landscape Ecology. 19(2),125–138.
·      Xie, J., Xie, B, Zhou, K., Li, J, Xiao, J., & Liu, C. (2022). Impacts of landscape pattern on ecological network evolution in Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China, Ecological Indicators, 145,109716.
·      Yu, H., Yang, J., Li, T., Jin, Y., Sun, D. (2022). Morphological and functional polycentric structure assessment of megacity: An integrated approach with spatial distribution and interaction, Sustainable Cities and Society, 80,103800.
·      Yue, Y., Zhuang, Y., Yeh, A. G., Xie, J. Y., Ma, C. L., & Li, Q. Q. (2017). Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy. International Journal of Geographical Information Science, 31(4), 658–675.
·      Zhao, Q., Wen, Z., Chen, S., Ding, S., & Zhang, M. (2020). Quantifying Land Use/Land Cover and Landscape Pattern Changes and Impacts on Ecosystem Services, International Journal of Environmental Research Public Health, 17(1), 126.
·      Zhong, C., Huang, X., Arisona, S. M., Schmitt, G., & Batty, M. (2014). Inferring building functions from a probabilistic model using public transportation data. Computers, Environment and Urban Systems, 48, 124–137.
·      Zhou, G., Li, C., Li, M., Zhang, J., Liu, Y. (2016). Agglomeration and diffusion of urban functions: An approach based on urban land use conversion, Habitat International, 56, 20-30.
·      Zhou, G., Li, C., Liu, Y., & Zhang, J. (2020). Complexity of Functional Urban Spaces Evolution in Different Aspects: Based on Urban Land Use Conversion, Hindawi, Complexity, 2020, 12.
·      Zhou, X., & Chen, H. (2018). Impact of urbanization-related land use land cover changes and urban morphology changes on the urban heat island phenomenon. Science of The Total Environment, 635. 1467–1476.
·      Zhu, Z., Zhou, Y., Seto, K. C., Stokes, E. C., Deng, C., & Pickett, S. T. A. (2019). Understanding an urbanizing planet: Strategic directions for remote sensing. Remote Sensing of Environment, 228,164–182.