Prostorni aspekti demografskih procesa u Srbiji
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Apstrakt
Promene u strukturama stanovništva koje se prate popisom (kao što su npr. promene u broju stanovnika, polna, obrazovna, starosna i dr. struktura) su od ključnog značaja za razumevanje prostornih pojava i procesa poput urbanizacije. Polazeći od brojnih urbano-geografskih studija razvoja sistema naselja ostvarenih u nekadašnjoj Jugoslaviji, a nastavljenih potom u Srbiji, formiran je jedinstven teorijsko-metodološki okvir istraživanja prostornih pojava i procesa koje u fokusu imaju upravo razumevanje dinamičnih promena u strukturama stanovništva i njihovo teritorijalno manifestovanje. Ovakav pristup je, pored naučnoistraživačkog polja, našao direktnu primenu i u prostornom i urbanističkom planiranju pri definisanju mera usmeravanja demografskog razvoja, razmeštaja gradskih funkcija, formiranja sistema naselja, planiranja razvoja infrastrukture i dr. U novije vreme, ovaj teorijsko-metodološki okvir je unapređen primenom GIS tehnologije koja omogućuje integraciju prostornih i statističkih podataka i obezbeđuje moćan analitički alat. Integracija podataka podstakla je nova istraživanja korelacija demografskih i prostornih pojava, odnosno uzajamnih veza i uticaja prostornog i demografskog razvoja. U ovom radu se daje pregled dosadašnjih istraživanja međusobnog uticaja dinamike razvoja stanovništva i promena u prostoru vidljivih kroz promene u intenzitetu izgrađenosti naselja, gustini naseljenosti, infrastrukturnoj opremljenosti i dr. Korišćenjem odabranih statističkih podataka popisa, i dovođenjem njih u vezu sa pojavama u konkretnom geoprostoru, dat je model prostorne distribucije stanovništva. Naglašava se značaj primene ovog i sličnih modela u daljim istraživanjima uticaja stanovništva na životnu sredinu, usmeravanja ekonomskog razvoja, zaštite u vanrednim situacijama i brojnim drugim oblastima.
Preuzimanja
Detalji članka
Centar za demografska istraživanja Instituta društvenih nauka
Reference
BAJAT, B., HENGL, T., KILIBARDA, M., & KRUNIĆ, N. (2011a). Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors. Computers, Environment and Urban Systems 35: 35-44. https://doi.org/10.1016/j.compenvurbsys.2010.09.005
BAJAT, B., KRUNIĆ, N., KILIBARDA, M., & SAMARDŽIĆ-PETROVIĆ, M. (2011b). Spatial prediction of Human Population Change. Paper presented at AGILE International Conference on Geographic Information Science, Utrecht, Netherlands, 18-21 April 2011.
BAJAT, B., KRUNIĆ, N., KILIBARDA, M., & SAMARDŽIĆ PETROVIĆ, M. (2011c). Spatial Modelling of Population Concentration Using Geographically Weighted Regression Method. Journal of the Geographical Institute “Jovan Cvijić” 61(3): 151-167. https://doi.org/10.2298/IJGI1103151B
BAJAT, B., KRUNIĆ, N., KILIBARDA, M., & SAMARDŽIĆ PETROVIĆ, M. (2011d). Dasimetrijsko modeliranje demografskih parametra u funkciji izrade prostorno planske dokumentacije. In Ј. Petrić and М. Vujošević (eds.), Obnova strateškog prostornog mišljenja, istraživanja i upravljanja u Srbiji, knjiga 1, posebna izdanja (pp. 151-184). Belgrade: IAUS.
BAJAT, B., KRUNIĆ, N., & KILIBARDA M. (2011e): Dasymetric Mapping of Spatial Distribution of Population in Timok Region. Proceedings of International Scientific Conference “Professional Practice and Education in Geodesy and Related Fields” (pp. 31-34). Kladovo (Serbia) http://e-science.amres.ac.rs/TP36035/?p=879
BAJAT, B., KRUNIĆ, N., BOJOVIĆ, M., KILIBARDA, M., & KOVAČEVIĆ, Z. (2012). Population vulnerability assessment in hazard risk management: A dasymetric mapping approach. Paper presented at the 2nd Project Workshop on “Risk Identification and Land-Use Planning for Disaster Mitigation of Landslides and Floods”, Rijeka, Croatia, December 15-17, 2011. http://e-science.amres.ac.rs/III47014/?p=120
BAJAT, B., KRUNIĆ, N., & KILIBARDA, N. (2009). Prediction model of spatial population distribution using geostatistics. In M. Vujošević and J. Petrić (eds.), Regional development, spatial planning and strategic governance, Thematic Conference Proceedings, Volume 1 (pp. 314-340). Belgrade: Institute of Architecture and Urban & Spatial Planning of Serbia.
BAJAT, B., KRUNIĆ, N., KILIBARDA, M., & SAMARDŽIĆ PETROVIĆ, M. (2013). Dasymetric modeling of population dynamics in urban areas. Geodetski vestnik 57 (4): 777-792. https://doi.org/10.15292/geodetski-vestnik.2013.04.777-792
BAJAT, B., KRUNIĆ, N., KILIBARDA, M., & SEKULIĆ, A. (2015). Assessment of population vulnerability in risk analysis using dasymetric database of Serbia. In B. Abolmasov, M. Marjanović and U. Đurić (eds.), 2nd Regional Symposium on Landslides in the Adriatic-Balkan Region, Conference proceedings (pp. 93-96). Belgrade: RESYLAB, Belgrade, University of Belgrade, Faculty for mining and geology.
BURGHARDT, W. (2006). Soil sealing and soil properties related to sealing. Geological Society, London, Special Publications 266(1): 117–124. https://doi.org/10.1144/GSL.SP.2006.266.01.09
CHI, G., & ZHU, J. (2008). Spatial Regression Models for Demographic Analysis. Population Research and Policy Review 27 (1): 17-42. https://doi.org/10.1007/s11113-007-9051-8
COCKX, K., & CANTERS, F. (2015). Incorporating spatial non-stationarity to improve dasymetric mapping of population. Applied Geography 63: 220-230. https://doi.org/10.1016/j.apgeog.2015.07.002
EEA (2012). Soil sealing degree (SSD) in TIFF format (electronic resource). Copenhagen: European Environment Agency (EEA). http://www.eea.europa.eu/data-and-maps/data/eea-fast-track-service-precursor-on-land-monitoring-degree-of-soil-sealing
EEA (2016). European Digital Elevation Model (EU-DEM), version 1.1. GeoTIFF format. Copernicus (electronic resource). Copenhagen: European Environment Agency (EEA). https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1/view
GAJIĆ, A., & KRUNIĆ, N. (2015). Noviji pristup u istraživanju urbanih i ruralnih područja u Srbiji. U D. Filipović, V. Šećerov, Z. Radosavljević (ur.), Planska i normativna zaštita prostora i životne sredine, zbornik radova (str. 129-135). Beograd: Asocijacija prostornih planera Srbije, Univerzitet u Beogradu – Geografski fakultet.
GAJIĆ, A., KRUNIĆ, N., & PROTIĆ, B. (2018). Towards a new methodological framework for the delimitation of rural and urban areas: a case study of Serbia. Geografisk Tidsskrift-Danish Journal of Geography 118 (2): 160-172. https://doi.org/10.1080/00167223.2018.1503551
GEOFABRIK (2018). Open street map (OSM) road dataset (electronic resource). Karlsruhe: Geofabrik. http://download.geofabrik.de/europe/serbia.html
JIA, P., & GAUGHAN, A. E. (2016). Dasymetric modeling: a hybrid approach using land cover and tax parcel data for mapping population in Alachua County, Florida. Applied Geography 66: 100-108. https://doi.org/10.1016/j.apgeog.2015.11.006
KLEINBAUM, D. G., KUPPER, L. L., & MULLER, K. E. (1988). Applied Regression Analysis and Other Multivariable Methods (2nd ed.). Boston: PWS Publishing Co.
KRUNIĆ, N. (2012). Spatial-functional organization of settlements in Vojvodina. Spatium 28: 23-29. https://doi.org/10.2298/SPAT1228023K
KRUNIĆ, N., BAJAT, B., KILIBARDA, M., & TOŠIĆ, D. (2011). Modelling the spatial distribution of Vojvodina’s population by using dasymetric method. Spatium 24: 45-50. https://doi.org/10.2298/SPAT1124045K
KRUNIĆ, N., & GAJIĆ, A. (2016). Recent trends in population dynamics and land cover changes in metropolitan areas. In M. Vujošević, S. Zeković (eds.), Forms of Urban Growth in Southeast Europe: Transitioning towards Urban Resilience and Sustainability, Vol. 2 (pp. 65-92). Varna: Varna Free University & Institute of Architecture and Urban & Spatial Planning of Serbia.
KRUNIĆ, N., MAKSIN, M., MILIJIĆ, S., BAKIĆ, O., & ĐURĐEVIĆ, J. (2014). Population Dynamics and Land Cover Changes of Urban Areas. Spatium 31: 22-29. https://doi.org/10.2298/SPAT1431022K
KRUNIĆ, N., BAJAT, B., & KILIBARDA, M. (2015a). Dasymetric Mapping of Population Distribution in Serbia Based on Soil Sealing Degrees Layer. In K. Růžičková, T. Inspektor (eds.), Surface Models for Geosciences. Lecture Notes in Geoinformation and Cartography (pp. 137-149). Cham: Springer. https://doi.org/10.1007/978-3-319-18407-4_12
KRUNIĆ, N., MILIJIĆ, S., ĐURĐEVIĆ, J., BAKIĆ, O., & KRSTIĆ, V. (2015b). Dasymetric mapping of flood impact to the population in Serbia. Paper presented at the 9th World Congress of EWRA “Water Resources Man-agement in a Changing World: Challenges and Opportunities”, Istanbul, Turkey, June 10-13, 2015.
KRUNIĆ, N., TOŠIĆ, D., & MILIJIĆ, S. (2013). Recent changes of spatial and functional organization of urban regions and cities in Serbia. In A. Gospodini (ed.), Proceedings of the International Conference on “Changing Cities”: Spatial, morphological, formal & socio-economic dimensions (pp. 1687-1697). Thessaloniki: University of Thessaly, Department of Planning and Regional Development. https://infoscience.epfl.ch/record/197489/files/2013_WallGago_Catarina_Heritage_Regulations_Conference_Skiathos.pdf
LI, S., JUHÁSZ-HORVÁTH, L., HARRISON, P. A., PINTÉR, L., & ROUNSE-VELL, M. D. A. (2015). Population and age structure in Hungary: a residential preference and age dependency approach to disaggregate census data. Journal of maps 12(sup1): 560-569. https://doi.org/10.1080/17445647.2016.1237898
LIU, L., PENG, Z., WU, H., JIAO, H., & YU, Y. (2018) Exploring Urban Spatial Feature with Dasymetric Mapping Based on Mobile Phone Data and LUR-2SFCAe Method. Sustainability 10(7): 2432. https://doi.org/10.3390/su10072432
MENNIS, J. (2015). Increasing the Accuracy of Urban Population Analysis with Dasymetric Mapping. Cityscape 17 (1): 115-126. https://www.huduser.gov/portal/periodicals/cityscpe/vol17num1/ch9.pdf
MOU, Y., HE, Q., & ZHOU, B. (2017). Detecting the Spatially Non-Stationary Relationships between Housing Price and Its Determinants in China: Guide for Housing Market Sustainability. Sustainability 9(10): 1826. https://doi.org/10.3390/su9101826
RAWLINGS, J. O., PANTULA, S. G., & DICKEY, D. A. (1998). Applied Regression Analysis: A Research Tool (2nd ed.). New York: Springer-Verlag.
SORS (2013a). 2011 Census of Population, Households and Dwellings in the Republic of Serbia. Book No. 02. Age and sex. Belgrade: Statistical Office of the Republic of Serbia (SORS). http://publikacije.stat.gov.rs/G2012/Pdf/G20124002.pdf
SORS (2013b). 2011 Census of Population, Households and Dwellings in the Republic of Serbia. Book No. 20. Comparative overview of the number of population in 1948, 1953, 1961, 1971, 1981, 1991, 2002 and 2011. Belgrade: Statistical Office of the Republic of Serbia (SORS). http://publikacije.stat.gov.rs/G2014/Pdf/G20144008.pdf
SORS (2018). Census of Population, Households and Dwellings in the Republic of Serbia. Daily migrants, economically active population who perform occupation and educational attainment, at settlement level. Documentation tables. Belgrade: Statistical Office of the Republic of Serbia (SORS).
STEVENS F.R., GAUGHAN A.E., LINARD C., & TATEM, A. J. (2015). Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data. PLoS ONE 10(2): e0107042. https://doi.org/10.1371/journal.pone.0107042
TENERELLI, P., GALLEGO, J. F., & DANIELE, E. (2015). Population density modelling in support of disaster risk assessment. International Journal of Disaster Risk Reduction 13: 334-341. http://doi.org/10.1016/j.ijdrr.2015.07.015
TOŠIĆ, D. (2012). Principi regionalizacije. Beograd: Geografski fakultet.
TOŠIĆ, D., KRUNIĆ, N., & MILIJIĆ, S. (2009a). Istraživanje prostorne organizacije mreže naselja Južnog pomoravlja u funkciji izrade prostornog plana. Demografija 6: 173-194. http://demografija.gef.bg.ac.rs/wp-content/uploads/2018/02/Dem62009-12.-Tosic-D.-Krunic-N.-Milijic-S..pdf
TOŠIĆ, D., KRUNIĆ, N., & PETRIĆ, J. (2009b). Dnevni urbani sistemi u funkciji prostorne organizacije Srbije. Arhitektura i urbanizam 27: 35-45.
TOŠIĆ D., & NEVENIĆ, M. (2007). Nodalna regija instrument prostorno-funkcionalne organizacije Srbije. Zbornik radova Geografskog instituta „Jovan Cvijić“ SANU 57: 297-307. https://doi.org/10.2298/IJGI0757297T
VRESK, M. (1990). Grad u regionalnom i urbanom planiranju. Zagreb: Školska knjiga.
WEI, C., TAUBENBOCK, H., & BLASCHKE T. (2017). Measuring urban ag-glomeration using a city-scale dasymetric population map: A study in the Pearl River Delta, China. Habitat International 59: 32-43. https://doi.org/10.1016/j.habitatint.2016.11.007
ZORAGHEIN, H., & LEYK. S. (2018). Enhancing areal interpolation frameworks through dasymetric refinement to create consistent population estimates across censuses. International Journal of Geographical Information Science 32(10): 1948-1976. https://doi.org/10.1080/13658816.2018.1472267