Approaches to Calculating Urban Project Boundaries (Agglomeration) in Shymkent City, Kazakhstan

Arslan Barakbayev; Seimur Mamedov; Meruert Baidrakhmanova; Leonid Bulyga; Yelena Feoktistova; Yulia Manzina

doi:10.15649/2346075X.4416

Autores/as

Arslan Barakbayev S. Seifullin Kazakh Agrotechnical Research University, Faculty of Land Management, Architecture and Design, Astana, Kazakhstan https://orcid.org/0009-0003-1229-0332
Seimur Mamedov Eurasian National University, Faculty of Architecture and Construction, Astana, Kazakhstan https://orcid.org/0000-0002-2850-8100
Meruert Baidrakhmanova Toraighyrov University, Faculty of Architecture and Construction, Pavlodar, Kazakhstan https://orcid.org/0000-0002-5208-0335
Leonid Bulyga Toraighyrov University, Faculty of Architecture and Construction, Pavlodar, Kazakhstan
Yelena Feoktistova NJSC «D. Serikbayev East Kazakhstan technical university», school of architecture, civil engineering and energy, Ust-Kamenogorsk, Kazakhstan
Yulia Manzina Toraighyrov University, Faculty of Architecture and Construction, Pavlodar, Kazakhstan

DOI:

https://doi.org/10.15649/2346075X.4416

Palabras clave:

Espacio urbano , urbanismo , aglomeración

Resumen

Introducción. Una evaluación exhaustiva de los cálculos utilizados para determinar los límites de los proyectos de planificación urbana permite una comprensión integral de las conexiones socioeconómicas, culturales y laborales entre ciudades y asentamientos. La importancia de desarrollar aglomeraciones en entornos con recursos limitados radica en su potencial para lograr un efecto sinérgico, donde el conjunto supera la suma de sus partes. Objetivo. La investigación tiene como objetivo identificar los límites funcionales de la aglomeración de Shymkent. Materiales y Métodos. Los límites de la aglomeración de Shymkent se determinaron utilizando un enfoque metodológico que integra el coeficiente de desarrollo de la aglomeración, la teoría gravitacional de Reilly y las tecnologías GIS. Resultados y Discusión. Se identificaron ciudades potenciales con efecto contra imán. Estas ciudades sirven como centros de atracción que interceptan los flujos migratorios hacia Shymkent, ayudando así a mitigar el exceso de crecimiento poblacional en la ciudad. Conclusiones. El desarrollo estratégico de asentamientos suburbanos y nodos clave dentro de la aglomeración de Shymkent es crucial para gestionar los desafíos del crecimiento urbano y fomentar un patrón de desarrollo equilibrado y sostenible. Es necesario prevenir el crecimiento espontáneo de asentamientos causado por el crecimiento de la población, que conduce a la formación de desequilibrios en los sistemas integrales de servicios y proporciona lugares de trabajo que pueden provocar tensiones sociales.

Referencias

Abilov A, Mametov A. Shymkent. In: Urban development and territorial planning in Kazakhstan: origins and development trends. Almaty; 2022. p. 67-80.

Tiwari AK, Antoniuk VS, Lapo AS, Vansovich ER. Managing urban agglomeration processes in Russia in the context of agglomerative and socio-economic development. Heliyon. 2024;10(7). https://doi.org/10.1016/j.heliyon.2024.e28654

You S, Feng Z, You Z, Shi H, Zhao G. Identification and structural characteristics of urban agglomerations in China based on Baidu migration data. Appl Geogr. 2023; 156:102999. https://doi.org/10.1016/j.apgeog.2023.102999

Li L, Tang A, Porter N. Defining and effectively delineating the peri-urban area: a synthesis and analysis from a literature review. J Urban Plan Dev. 2023;149. https://doi.org/10.1061/JUPDDM.UPENG-4456

Zhang X, Wang H, Ning X, Zhang X, Liu R, Wang H. Identification of Metropolitan Area Boundaries Based on Comprehensive Spatial Linkages of Cities: A Case Study of the Beijing-Tianjin-Hebei Region. ISPRS Int J Geo-Inf. 2022;11:396. https://doi.org/10.3390/ijgi11070396

Zhang B, Zhong C, Gao Q, Shabrina Z, Tu W. Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area. Comput Environ Urban Syst. 2022;98:101872. https://doi.org/10.1016/j.compenvurbsys.2022.101872

You S, Feng Z, You Z, Shi H, Zhao G. Identification and structural characteristics of urban agglomerations in China based on Baidu migration data. Appl Geogr. 2023;156:102999. https://doi.org/10.1016/j.apgeog.2023.102999

Moreno-Monroy A, Schiavina M, Veneri P. Metropolitan areas in the world. Delineation and population trends. J Urban Econ. 2020;125:103242. https://doi.org/10.1016/j.jue.2020.103242

He X, Yuan X, Zhang D, Zhang R, Li M, Zhou C. Delineation of Urban Agglomeration Boundary Based on Multisource Big Data Fusion-A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Remote Sens. 2021;13(9):1801. https://doi.org/10.3390/rs13091801

Caudillo-Cos CA, Montejano-Escamilla JA, Tapia-McClung R, Ávila-Jiménez FG, Barrera- Alarcón IG. Defining urban boundaries through DBSCAN and Shannon’s entropy: The case of the Mexican National Urban System. Cities. 2024; 149:104969. https://doi.org/10.1016/j.cities.2024.104969

Bosker M, Park J, Roberts M. Definition matters. Metropolitan areas and agglomeration economies in a large-developing country. J Urban Econ. 2021; 125:103275. https://doi.org/10.1016/j.jue.2020.103275

Polyan PM, Treyvish AI. The Centrographic Method of Studying Spatial Structure. Mapping Sci Remote Sens. 1990;27:262-279. https://doi.org/10.1080/07493878.1990.10641813

Paolilli AL. Reilly’s Law and Logistic Type Equation in a Model for Studying Group Selection and Intercity Relations. Global J Arts Humanit Soc Sci. 2023;11(10):69-79. https://doi.org/10.37745/gjahss.2013/vol11n106979

Tannier C, Montero G, Tannier C, Thomas I. Morphological delineation of urban agglomerations. In: Tannier C, editor. Fractal Geometry in Human Geography and Planning. 2024. https://doi.org/10.1002/9781394306565.ch5

Zhou Q, Guo L. Empirical approach to threshold determination for the delineation of built-up areas with road network data. PLOS ONE. 2018;13(3):e0194806. https://doi.org/10.1371/journal.pone.0194806

Kravchenko K, Niemets K, Sehida K, Niemets L, Suptelo O. Methods and approaches of determining the boundaries of agglomerations (basic case Kharkiv region). Human Geography Journal. 2020;28:5-16. https://doi.org/10.26565/2076-1333-2020-28-01

Klaassen LH, Scimemi G. Theoretical issues in urban dynamics. In: Klaassen LH, Molle WTM, Paelinck JHP, editors. Dynamics of Urban Development. New York: St. Martin’s Press; 1981. p. 8-28.

Girres JF. Land-Use Dynamics Analysis Based on Spatial Interactions Models and Satellite Images Time- Series. Remote Sens Spat Inf Sci. 2020; 43:97-101. https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-97-2020

Habrel M, Denis M, Majewska A, Habrel M, Izdebski M, Fenchuk O. Delimitation of the metropolitan areas of Warsaw and Lviv over the last 100 years. The Polish-Ukrainian experience. Cities. 2024; 144:104664. https://doi.org/10.1016/j.cities.2023.104664

Mikhaylova A, Gorochnaya V. Spatial scale of urban agglomeration externalities on the Rostov region in Russia. Regions Cohesion. 2022;12(1):78-101. https://doi.org/10.3167/reco.2022.120105

Ministry of Justice of the Republic of Kazakhstan. On approval of the State Program for the Development of the Aul - El Besigi for 2019-2027. Adilet [Internet]. 2018 Dec 27 [cited 2024 Aug 02]. Available from: https://adilet.zan.kz/rus/docs/P1800000074

Strumsky D, Bettencourt L, Lobo J. Agglomeration effects as spatially embedded social interactions: identifying urban scaling beyond metropolitan areas. Environ Plan B Urban Anal City Sci. 2023;50(7):1964- 1980. https://doi.org/10.1177/23998083221148198