“…A particular area of interest has been the development and improvement of predictive simulation models, such as the agent-based model (Matthews et al, 2007;Yuan et al, 2017), the cellular automata model and its evolved models based on grid neighborhood relationship analysis (Grinblat et al, 2016;Van Vliet et al, 2017), or the dynamics of land system model and state-and-transition simulation model based on analyses of changes in land system structures and spatial configuration succession (Wilson et al, 2016;Daniel et al, 2016;Najmuddin et al, 2017). Using these simulation models, it is possible to construct rational scenarios for different sustainability objectives, such as maximizing economic effects (Wu et al, 2012), minimizing pollutant emissions or environmental impacts (Bohnes et al, 2017;Degraeuwe et al, 2017), prioritizing ecological security (Brunner et al, 2017;Eitelberg et al, 2016), limiting climate change and carbon emissions (Anaya-Romero et al, 2015;Prestele et al, 2017), as well as for other sustainability scenarios, such as water resources (Proskuryakova et al, 2018), agricultural production (Chaudhary et al, 2018;Krasa et al, 2010;Van Vliet et al, 2017), or environmental protection (Najmuddin et al,2017;Zarandian et al, 2017). Obviously, most of these models are based on historical or current scenarios, and they assume consistent historical trajectories and development statuses, which can be problematic for developing countries with large-scale and disorderly land development (Fan et al, 2018).…”