“…Accordingly, through exploring previous empirical studies, seventeen variables from demographic, socio-economic, administrative, and political and legislative dimensions, such as age, marital status, family size, educational level, inconsistency of plan and land legislations, corruption, rigid building regulation of legal houses, procedural problems of legal land provision, inefficient public administration, inadequate housing policy, high land price in the formal land market, land speculation, high housing rent, income disparity, population growth, land substitution modality, and political situation have considered and contextualized in this study (see Table 1). In the previous studies, these factors have been identified and justified using descriptive statistics (Akirso, 2021;Ali & Sulaiman, 2006;Anulo, 2017;Asefa, 2020;Baye, Wegayehu, & Mulugeta, 2020;Dadi, 2018;G/Silassie, 2019;Hadush, 2019;Matamanda, 2019;Mensah et al, 2013;Msuya et al, 2017;Mwacharo, 2012;Sakala, 2016;Wondimu, 2021), binary logistic regression model (Ochocho et al, 2018;Minetos & Polyzos, 2013), and factors analysis or principal component analysis methods (Heshmati & Zarabadi, 2016;Meshkini et al, 2015).…”