پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شماره‌ها | 519 |
| تعداد مقالات | 5,034 |
| تعداد مشاهده مقاله | 7,662,357 |
| تعداد دریافت فایل اصل مقاله | 5,707,116 |
سنجش چندمرکزیتی مورفولوژیک در مقیاس فرامنطقه‌ای (استان‌های تهران، البرز و قزوین) با استفاده از کلان‌دادۀ لنداسکن | ||
| مطالعات ساختار و کارکرد شهری | ||
| دوره 12، شماره 4، مهر 1404، صفحه 89-120 اصل مقاله (798 K) | ||
| نوع مقاله: مقاله استخراج از رساله و پایان نامه | ||
| شناسه دیجیتال (DOI): 10.22080/usfs.2025.28492.2498 | ||
| نویسندگان | ||
| مجتبی شهابی شهمیری* 1؛ علی خدابنده2 | ||
| 1استادیار، گروه برنامه‌ریزی منطقه‌ای، دانشکدۀ شهرسازی، دانشکدگان هنرهای زیبا، دانشگاه تهران، تهران، ایران | ||
| 2دانشجوی کارشناسی ارشد برنامه‌ریزی منطقه‌ای، دانشکدۀ شهرسازی، دانشکدگان هنرهای زیبا، دانشگاه تهران، تهران، ایران | ||
| تاریخ دریافت: 07 بهمن 1403، تاریخ بازنگری: 11 فروردین 1404، تاریخ پذیرش: 13 خرداد 1404 | ||
| چکیده | ||
| چکیده چندمرکزیتی به‌عنوان یک مفهوم «مورفولوژیک»، به توزیع متوازن جمعیت و اشتغال در فضا اشاره دارد، به گونه‌ای که هیچ‌یک از مراکز بر سایرین تسلط نداشته باشد. با وجود این، تعیین محدوده و تعریف و عملیاتی‌سازی مفهوم «مرکز» همچنان به‌عنوان یک چالش مهم روش‌شناختی در اندازه-گیری چندمرکزیتی باقی مانده است. روش‌های پایین به بالا و مبتنی بر کلان‌داده‌ها می‌تواند با جلوگیری از سوگیری در تعریف محدودۀ مطالعه براساس واحدهای آماری اداری، از انتخاب اجباری مراکز فرعی در چنین محدوده‌هایی اجتناب نماید. بر اساس این، مطالعۀ حاضر در پی آن است تا با استفاده از داده‌های لنداسکن به‌عنوان یک پایگاه کلان‌داده منبع باز و با تحلیل اکتشافی داده‌های فضایی ESDA))، تحلیل محلی موران، تحلیل نقاط داغ، شاخص آنتروپی و استفاده از شاخص چندمرکزیتیت نسبی، به سنجش چندمرکزیتی مورفولوژیک ابر منطقۀ تهران- کرج – قزوین در یک بازۀ 13 ساله بپردازد. نتایج پژوهش نشان می‌دهد اگرچه نقش غالب شهر تهران در منطقه ادامه دارد، اما ظهور و تقویت تدریجی مراکز ثانویه در نقاط پیراشهری مانند اسلامشهر، ری و پاکدشت، تسلط آن را به چالش کشیده است. به‌علاوه، تداوم حضور شهرهایی مانند ملارد، ورامین و رباط کریم در فهرست مراکز بالقوه بیان‌گر شکل گیری الگوی چند مرکزیتی در نواحی پیراشهری دو منطقۀ کلان‌شهری تهران و البرز است. بررسی توزیع تراکم‌های جمعیت و اشتغال در دوران همه‌گیری کرونا و پیش و پس از آن، مشخص می‌کند که چندمرکزیتی عملکردی منطقه بیش از چندمرکزیتی مورفولوژیک آن است. | ||
| کلیدواژه‌ها | ||
| چندمرکزیتی؛ مورفولوژیک؛ فرامنطقه ای؛ لنداسکن | ||
| عنوان مقاله [English] | ||
| Assessing Morphological Polycentricity at the Supra-Regional Scale (Tehran, Alborz, and Qazvin Provinces) Using LandScan Big Data | ||
| نویسندگان [English] | ||
| Mojtaba Shahabi Shahmiri1؛ Ali Khodabandeh2 | ||
| 1Assistant Professor, Department of Regional Planning, School of Urban Planning, College of Fine Arts, University of Tehran, Tehran, Iran | ||
| 2MSc Student of Regional Planning, School of Urban Planning, College of Fine Arts, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| olycentricity, as a morphological concept, refers to the balanced distribution of population and employment across space in such a way that no single center dominates over others. However, determining the boundaries and defining and operationalizing the concept of "center" remains a significant methodological challenge in measuring polycentricity. Bottom-up methods and big data-based approaches can avoid biases arising from defining study boundaries based on administrative and statistical units and prevent the forced selection of secondary centers within such boundaries. Accordingly, the present study seeks to assess the morphological polycentricity of the Tehran-Karaj-Qazvin mega-region over a 13-year period. This is done by employing LandScan data as an open-source big data repository and using spatial exploratory data analysis (ESDA), Local Moran's analysis, hotspot analysis, the entropy index, and the relative polycentricity index. The study's findings indicate that while Tehran continues to play a dominant role in the region, the gradual emergence and strengthening of secondary centers in peri-urban areas, such as Eslamshahr, Rey, and Pakdasht, are challenging its dominance. Furthermore, the sustained presence of cities like Malard, Varamin, and Robat Karim in the list of potential centers signifies the formation of a polycentric pattern in the peri-urban areas of the Tehran and Alborz metropolitan regions. An examination of the distribution of population and employment densities during the COVID-19 pandemic, as well as before and after it, reveals that the region's functional polycentricity surpasses its morphological polycentricity. | ||
| کلیدواژه‌ها [English] | ||
| Polycentricity, morphological, Supra-regional, LandScan | ||
| مراجع | ||
|
Abbasifallah, V., Rajaei, S. A., Ziari, K., & Mansourian, H. (2024). Explain of spatial structure changes of Tehran metropolitan region with emphasis on housing prices. Safe City, 7(2), 73-100.
Agarwal, A., Giuliano, G., & Redfearn, C. L. (2012). Strangers in our midst: the usefulness of exploring polycentricity. The Annals of Regional Science, 48, 433-450. DOI:
Alidadi, M., & Dadashpoor, H. (2017). Beyond monocentricity: examining the spatial distribution of employment in Tehran metropolitan region, Iran. International Journal of Urban Sciences, 22(1), 38–58. DOI:
Arribas-Bel, D., Ramos, A., & Sanz-Gracia, F. (2015). The size distribution of employment centers within the US Metropolitan Areas. Environment and Planning B: Planning and Design, 42(1), 23-39. DOI:
Brezzi, M., & Veneri, P. (2015). Assessing Polycentric Urban Systems in the OECD: Country, Regional and Metropolitan Perspectives. European Planning Studies, 23(6), 1128-1145. DOI: https://doi.org/10.1080/09654313.2014.905005
Cardoso, R. V., & Meijers, E. (2021). Metropolisation: The winding road toward the citification of the region. Urban Geography, 42(1), 1-20. DOI: https://doi.org/10.1080/02723638.2020.1828558
Caset, F., Derudder, B., Van Migerode, C., & De Wit, B. (2022). Mapping the spatial conditions of polycentric urban development in Europe: An open‐source software tool. Geographical Analysis, 54(3), 583-598. DOI:
Cowell, M. (2010). Polycentric regions: comparing complementarity and institutional governance in the San Francisco Bay area, the Randstad and Emilia-Romagna. Urban Studies, 47(5), 945-965. DOI:
Dadashpoor, H., & Tadayon, S. (2015). Identification of the homogeneous flow Zones based on Spatial Motilities and Trip Patterns in Tehran Metropolitan region. Motaleate Shahri, 4(14), 61-76. (In Persian)
Dadashpoor, H., & Alidadi, M. (2018). Morphological Analysis of Population Distribution in Tehran Metropolitan Region (TMR). Human Geography Research, 50(1), 109-125.
Dadashpoor, H., & Saeidi Shirvan, S. (2019). Measuring functional polycentricity developments using the flow of goods in Iran: a novel method at a regional scale. International Journal of Urban Sciences, 23(4), 551-567. DOI:
Derudder, B., & Taylor, P. (2016). Change in the world city network, 2000–2012. The Professional Geographer, 68(4), 624-637. DOI:
Derudder, B., Liu, X., Wang, M., Zhang, W., Wu, K., & Caset, F. (2021). Measuring polycentric urban development: The importance of accurately determining the ‘balance ’between ‘centers’. Cities, 111, 103009. DOI: https://doi.org/10.1016/j.cities.2020.103009
Dijkstra, L., Poelman, H., & Veneri, P. (2019). The EU-OECD definition of a functional urban area. DOI:
Doorudinia, A., Dadashpoor, H., & Meshkini, A. (2025). Wrong polycentricity-right polycentricity?: Insights from an empirical study in Tehran metropolitan region, Iran. Papers in Regional Science, 104(1), 100075. DOI:
Duranton, G., & Puga, D. (2015). Urban land use. In Handbook of regional and urban economics (Vol. 5, pp. 467-560). Elsevier.
Forstall, R. L., & Greene, R. P. (1997). Defining job concentrations: the Los Angeles case. Urban Geography, 18(8), 705-739. DOI:
Ginsburg, N. S., Koppel, B., & McGee, T. G. (1991). The extended metropolis: Settlement transition is Asia. University of Hawaii Press.
Giuliano, G., & Small, K. A. (1991). Subcenters in the Los Angeles region. Regional science and urban economics, 21(2), 163-182. DOI:
Giuliano, G., Redfearn, C., Agarwal, A., Li, C., & Zhuang, D. (2007). Employment concentrations in Los Angeles, 1980–2000. Environment and planning A, 39(12), 2935-2957.
Guadeloupe, C., Martinique, G., & Madeira, A. (2020). Polycentric Territorial Structures and Territorial Cooperatio.
Gurría-Gascón, J. L., Sánchez-Martín, J. M., Ruiz-Labrador, E. E., & Hernández-Carretero, A. M. (2024). Polycentric urban system, territorial development and resilience of the rural population (Extremadura, Spain). Urban Science, 8(3), 144.
Haghani, S., Lotfi, S. and Anamoradnejad, R. (2020). Analyzing the Spatial Structure of Urban Region of Central Mazandaran with Emphasis on Social Network. Geography and Urban Space Development, 7(1), 77-55. (In Persian) DOI:
10.22067/gusd.v7i1.84164
Hajrasouliha, A. H., & Hamidi, S. (2017). The typology of the American metropolis: monocentricity, polycentricity, or generalized dispersion?. Urban geography, 38(3), 420-444. DOI:
Hall, P. (2009). Looking Backward, Looking Forward: The City Region of the Mid-21st Century. Regional Studies, 43(6), 803-817. DOI:
Hall, P. G., & Pain, K. (Eds.). (2006). The polycentric metropolis: learning from mega-city regions in Europe. Routledge.
He, X., Cao, Y., & Zhou, C. (2021). Evaluation of polycentric spatial structure in the urban agglomeration of the pearl river delta (PRD) based on multi-source big data fusion. Remote Sensing, 13(18), 3639. DOI: https://doi.org/10.3390/rs13183639
He, X., Zhu, Y., Chang, P., & Zhou, C. (2022). Using tencent user location data to modify night-time light data for delineating urban agglomeration boundaries. Frontiers in Environmental Science, 10, 860365. DOI: https://doi.org/10.3389/fenvs.2022.860365
Hennig, B. D. (2019). The growth and decline of urban agglomerations in Germany. Environment and Planning A: Economy and Space, 51(6), 1209-1212. DOI:
Hui, E. C., Li, X., Chen, T., & Lang, W. (2020). Deciphering the spatial structure of China's megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making. Cities, 105, 102168. DOI:
Huo, Z., Shang, Y., Zhou, S., Meng, M., Balsalobre Lorente, D., & Ma, X. (2024). Monocentricity or polycentricity? The study on the enterprise environmental performance of urban spatial structure. Journal of the Asia Pacific Economy, 1-31. DOI:
Kloosterman, R. C., & Lambregts, B. (2007). Between accumulation and concentration of capital: Toward a framework for comparing long-term trajectories of urban systems. Urban Geography, 28(1), 54-73. DOI: https://doi.org/10.2747/0272-3638.28.1.54
Krehl, A. (2015). Urban spatial structure: An interaction between employment and built-up volumes. Regional Studies, Regional Science, 2(1), 290-308. DOI:
Krehl, A. (2018). Urban subcentres in German city regions: Identification, understanding, comparison. Papers in Regional Science, 97, S79-S105. DOI: https://doi.org/10.1111/pirs.12235
Lang, W., Chen, T., Chan, E. H., Yung, E. H., & Lee, T. C. (2019). Understanding livable dense urban form for shaping the landscape of community facilities in Hong Kong using fine-scale measurements. Cities, 84, 34-45. DOI:
Li, K., Liu, Z., Shi, S., Di, K., Gong, W., & Li, H. (2024). The driving effect of polycentric city network on the coordinated development of regional economy in Bohai Rim region of China. Heliyon, 10(23). DOI: https://doi.org/10.1016/j.heliyon.2024.e40173
Li, W., Schmidt, S., & Siedentop, S. (2024). Can polycentric urban development simultaneously achieve both economic growth and regional equity? A multi-scale analysis of German regions. Environment and Planning A: Economy and Space, 56(2), 525-545. DOI:
Li, W., Sun, B., Zhang, T., & Zhang, Z. (2022). Polycentric spatial structure and its economic performance: Evidence from meta-analysis. Regional Studies, 56(11), 1888-1902. DOI:
Li, Y., & Phelps, N. A. (2017). Knowledge polycentricity and the evolving Yangtze River Delta megalopolis. Regional Studies, 51(7), 1035-104. DOI: https://doi.org/10.1080/00343404.2016.1240868
Limtanakool, N., Schwanen, T., & Dijst, M. (2009). Developments in the Dutch Urban System on the Basis of Flows. Regional Studies, 43(2), 179-196. DOI: https://doi.org/10.1080/00343400701808832
Liu, X., & Wang, M. (2016). How polycentric is urban China and why? A case study of 318 cities. Landscape and urban planning, 151, 10-20. DOI: https://doi.org/10.1016/j.landurbplan.2016.03.007
Liu, X., Derudder, B., & Wang, M. (2018). Polycentric urban development in China: A multi-scale analysis. Environment and Planning B: Urban Analytics and City Science, 45(5), 953-972. DOI:
Liu, X., Derudder, B., & Wu, K. (2016). Measuring polycentric urban development in China: An intercity transportation network perspective. Regional Studies, 50(8), 1302-1315. DOI:
Lorens, P., & Golędzinowska, A. (2022). Developing Polycentricity to Shape Resilient Metropolitan Structures: The Case of the Gdansk–Gdynia–Sopot Metropolitan Area. Urban Planning, 7(3), 159-171. DOI:
Lunardon, D., & Caporali, C. (2024). Polycentric Urban Regions in Italy. A Novel Assessment. CONFLICT SCENARIOS AND TRANSITIONS.
Malý, J. (2019). Polycentric urban systems and territorial cohesion. Territorial cohesion: The urban dimension, 69-89. DOI:
Mazzamurro, M., & Guo, W. (2024). Network-entropy-based morphological polycentricity in 1851-1881 England and Wales. Environment and Planning B: Urban Analytics and City Science, 23998083241237308. DOI: https://doi.org/10.1177/23998083241237308
McDonald, J. F., & Prather, P. J. (1994). Suburban employment centres: The case of Chicago. Urban studies, 31(2), 201-218. DOI:
McKee, J., Weber, E., Laverdiere, M., Moehl, J., Swan, B., Yang, H., Reith, A., Urban, M., Hauser, T., Rose, A., Roddy, D., Pyle, J., & O'Shell, M. A. (2020). LandScan HD Iran v1.0 Version v1.0) [raster digital data]. Oak Ridge National Laboratory. DOI: https://doi.org/https://doi.org/10.48690/1524217
McMillen, D. P., & Smith, S. C. (2003). The number of subcenters in large urban areas. Journal of urban economics, 53(3), 321-338. DOI:
Meijers, E. J., Burger, M. J., & Hoogerbrugge, M. M. (2016). Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe. Papers in regional science, 95(1), 181-199. DOI: https://doi.org/10.1111/pirs.12181
Meijers, E., & Sandberg, K. (2021). Territorial cohesion, polycentrism and regional disparities: Revisiting an unsolved debate. In EU Cohesion Policy and Spatial Governance (pp. 127-141). Edward Elgar Publishing. DOI: https://doi.org/10.4337/9781839103582.00020
Meijers, EJ., Hoogerbrugge, MM., & Hollander, K. (2012). A strategic knowledge and research agenda on polycentric metropolitan areas. European Metropolitan network Institute.
Möck, M., & Küpper, P. (2020). Polycentricity at its boundaries: consistent or ambiguous?. European Planning Studies, 28(4), 830-849. DOI:
https://doi. rg/10.1080/09654313.2019.1666802
Modarres, A. (2011). Polycentricity, commuting pattern, urban form: The case of Southern California. International Journal of Urban and Regional Research, 35(6), 1193-1211. DOI: https://doi.org/10.1111/j.1468 2427.2010.00994.x
Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17-23.
Moshfeghi, V., & Rafiyan, M. (2016). Evaluating functional Polycentricity, Case Study; Mazandaran City Network. Journal of Spatial Planning and Geomatics, 20(1):207-234 (In Persian).
Münter, A., & Volgmann, K. (2021). Polycentric regions: Proposals for a new typology and terminology. Urban Studies, 58(4), 677-695.
Musterd, S., & van Zelm, I. (2001). Polycentricity, households and the identity of places. Urban Studies, 38(4), 679-696. DOI:
https://doi. rg/10.1080/00420980120035286
Nadin, V., & Zonneveld, W. (2020). Introducing the Randstad: A polycentric metropolis. In The Randstad (pp. 3-25). Routledge. DOI:
Nelson, G. D. (2021). Communities, complexity, and the ‘conchoration’: Network analysis and the ontology of geographic units. Tijdschrift voor economische en sociale geografie, 112(4), 351-369. DOI:
https://doi. rg/10.1111/tesg.12400
Nelson, G. D., & Rae, A. (2016). An economic geography of the United States: From commutes to megaregions. PloS one, 11(11), e0166083. DOI:
10.1371/journal.pone.0166083
Pan, H., Yao, Y., Ming, Y., Hong, Z., & Hewings, G. (2024). Whither less is more? Understanding the contextual and configurational conditions of polycentricity to improve urban agglomeration efficiency. Cities, 149, 104884. DOI:
Priyashani, N., Kankanamge, N., & Yigitcanlar, T. (2023). Multisource open geospatial big data fusion: application of the method to demarcate urban agglomeration footprints. Land, 12(2), 407. DOI:
Rauhut, D. (2017). Polycentricity – one concept or many? European Planning Studies, 25(2), 332-348. DOI:
Redfearn, C. L. (2007). The topography of metropolitan employment: Identifying centers of employment in a polycentric urban area. Journal of urban economics, 61(3), 519-541. DOI: https://doi.org/10.1016/j.jue.2006.08.009
Redfearn, C. L. (2009). Persistence in urban form: The long-run durability of employment centers in metropolitan areas. Regional Science and Urban Economics, 39(2), 224-232. DOI: https://doi.org/10.1016/j.regsciurbeco.2008.09.002
Roca Cladera, J., Marmolejo Duarte, C. R., & Moix, M. (2009). Urban structure and polycentrism: Towards a redefinition of the sub-centre concept. Urban Studies, 46(13), 2841-2868. DOI:
Sevtuk, A., & Amindarbari, R. (2021). Does metropolitan form affect transportation sustainability? Evidence from US metropolitan areas. Environment and Planning B: Urban Analytics and City Science, 48(8), 2385-2401.DOI: https://doi.org/10.1177/2399808320971310
Siedentop, S., Fina, S., & Krehl, A. (2016). Greenbelts in Germany's regional plans—An effective growth management policy?. Landscape and Urban Planning, 145, 71-82. DOI: https://doi.org/10.1016/j.landurbplan.2015.09.002
Taubenböck, H., Standfuß, I., Wurm, M., Krehl, A., & Siedentop, S. (2017). Measuring morphological polycentricity-A comparative analysis of urban mass concentrations using remote sensing data. Computers, Environment and Urban Systems, 64, 42-56. DOI:
Taylor, P., & Derudder, B. (2015). World city network: a global urban analysis. Routledge.
Thomas, R., Schmidt, S., & Siedentop, S. (2022). Toward comparative polycentricity scores: Assessing variations in regional delineation and subcenter identification. Environment and Planning B: Urban Analytics and City Science, 49(6), 1597-1611. DOI: https://doi.org/10.1177/23998083211065765
Turok, I., & Mykhnenko, V. (2007). The trajectories of European cities, 1960–2005. Cities, 24(3), 165-182. DOI: https://doi.org/10.1016/j.cities.2007.01.007
Veneri, P., & Burgalassi, D. (2012). Questioning polycentric development and its effects. Issues of definition and measurement for the Italian NUTS-2 regions. European Planning Studies, 20(6), 1017-1037. DOI: https://doi.org/10.1080/09654313.2012.673566
Wang, M., Derudder, B., & Liu, X. (2019). Polycentric urban development and economic productivity in China: A multiscalar analysis. Environment and Planning A: Economy and Space, 51(8), 1622-1643. DOI: https://doi.org/10.1080/00343404.2021.2012142
Wasserman S and Faust K (1994) Social Network Analysis: Methods and Applications. Structural analysis in the social sciences. Cambridge; New York: Cambridge University Press, 8.
Waterhout, B. A. S., Zonneveld, W., & Meijers, E. (2005). Polycentric development policies in Europe: Overview and debate. Built Environment (1978-), 163-173.
Wu, C., Smith, D., & Wang, M. (2021). Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios. Computers, Environment and Urban Systems, 89, 101677. DOI:
Wu, Y., Shi, K., Cui, Y., Liu, S., & Liu, L. (2023). Differentiated effects of morphological and functional polycentric urban spatial structure on carbon emissions in China: An empirical analysis from remotely sensed nighttime light approach. International Journal of Digital Earth, 16(1), 532-551. DOI:
Xu, J., & Yeh, A. (2011). Governance and planning of mega-City regions. An International Comparative Perspective; Routledge Studies in Human Geography: Devon, UK.
Yue, W., Wang, T., Liu, Y., Zhang, Q., & Ye, X. (2019). Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage. Land Use Policy, 88, 104176. DOI: https://doi.org/10.1016/j.landusepol.2019.104176
Zebardast, S. & Shahabi Shahmiri., M. (2013). Measuring Polycentricity of conurbation in Iran; Case Study of Amol-Babol-Ghaemshahr-Sari in Mazandaran. Motaleate Shahri, 2(8), 47-58. (In Persian)
Zebardast, S. & Shahabi Shahmiri., M. (2013). Analyzing the capability of synergic development in polycentric urban regions case study: Metropolitan area, The Central Mazandaran (Amol, Babol, Ghaemshahr, Sari). Regional Planning, 4(16), 33-48. (In Persian)
Zhang, T., Sun, B., & Li, W. (2017). The economic performance of urban structure: From the perspective of Polycentricity and Monocentricity. Cities, 68, 18-24.
Zhang, W., Derudder, B., Liu, X., Sun, B., & Wang, Y. (2022). Defining ‘centres’ in analyses of polycentric urban regions: the case of the Yangtze River Delta. Regional Studies, 56(1), 87-98. https://doi.org/10.1080/00343404.2021.1912725
Zhang, X. (2018). Multiple creators of knowledge-intensive service networks: A case study of the Pearl River Delta city-region. Urban Studies, 55(9), 2000-2019.
Zarghami, S., Tavakolinia, J., & Sarafi, M. (2022). Measuring the Spatial Structure of Metropolitan Regions from the Perspective of Economic Synergy Potentials, case study: Tehran Metropolitan Region. Human Geography Research, 54(3), 1059-1081.
| ||
|
آمار تعداد مشاهده مقاله: 186 تعداد دریافت فایل اصل مقاله: 32 |
||