Modeling Urban Growth and Land Cover Change in Albuquerque Using SLEUTH

Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

“…The last effective factor of LULCC, relates to developing newly developed areas on the urban periphery [15,34,80,93], subsequently resulting in a decentralized spatial structure characterized by the formation of new sub-centres outside of the main urban core. This factor relates to the functional complementarity among the various sub-centres of urban areas and the main core and sub-centres, made possible by population migration from the urban core to the outer suburbs and facilitated by investment in both road transport and mass transit infrastructures, complemented by large investments in denser, higher value urban development in these sub-centres [53].…”

“…Increasing urban population is the major demographic factor that many articles take into account as the effective factors in the formation and changes of land use and land cover [2,4,5,7,9,11,13,[16][17][18]25,[27][28][29]33,34,56,59,61,71,88,90,93,[99][100][101][111][112][113] and population density [8][9][10]16,19,80,85,90]. Demographic changes are the result of the improvement in the state of health and well-being of families and individuals, housing affordability, and the growth of communication technology in many regions.…”

“…In conjunction with the previous contextual dimensions, environment and natural resources have the capability to change urban land use and land cover patterns. They include geographical location [14,22,25,27,96,101], flood prone areas [118,119], climate quality [16,41,111,[120][121][122], sea shoreline [25,33], distance from water bodies such as rivers, lakes, wetlands, ponds [16,18,26,28,[30][31][32][33][34]89,95], all of which are fundamentally important determinants of the extent, spatial distribution, and spatial expansion of urban lands. Furthermore, it can relate to the efficiency of terrestrial resources such as forestry and ecological resources [91], oil resources [13,18,40,88], minerals [1,9] and ecosystem services [65,123].…”

“…Other researchers have identified economic factors as critically important in the expansion of urban areas such as increase of income [6,[14][15][16], gross domestic product per capita [10,[17][18][19] and foreign direct investment [20][21][22][23]. Literature has also focused on geographical factors such as slope [24][25][26][27], elevation [1,10,28,29], and distance from water bodies [16,18,[30][31][32][33][34] as key drivers. In this regard, the impacts of geomorphological landscape [35], environmental and natural risks such as volcanoes [36], flood, subsidence, unstable soils and rockfalls [37][38][39] were considered.…”

Quantitative Approach for Complementary Analysis of a Touristic Coastal Landscape: The Case of Erdemli (Mersin), Turkey.

“…SLEUTH is one of the numerous urban change prediction models that falls within CA category. This model has been used to predict future development in many world cities (Aguejdad, Doukari, Houet, Avner, & Viguie, 2016;Ayazli & Bilen, 2019;Bajracharya, Lippitt, & Sultana, 2019;Bihamta, Soffianian, Fakheran, & Gholamalifard, 2015;Chaudhuri & Clarke, 2019;Jantz, Goetz, Donato, & Claggett, 2010;Jantz, Goetz, & Shelley, 2004;Mahiny & Clarke, 2012, 2013Oguz, 2012;Oguz & Bozali, 2014;Rienow & Goetzke, 2015;Sakieh, Amiri, Danekar, Feghhi, & Dezhkam, 2015;Sangawongse, Sun, & Tsai, 2005;Serasinghe Pathiranage, Kantakumar, & Sundaramoorthy, 2018;Shi, Wu, & Shi, 2017;Yi & He, 2009;Yin et al, 2016;Zheng et al, 2018).…”