“…In most of above models, spatial and temporal evolution rules are applied to simulate historical or current scenarios, and key development parameters are adjusted to identify the differences among various scenarios, although they are insufficient to diagnose deviation (s) caused by land development policies. However, reasonable scenarios from different dimensions can be constructed by these simulation models, such as maximizing economic effects (Wu, Peng, Zhang, Skitmore, & Song, ); minimizing pollutant emissions or environmental impacts (Bohnes, Gregg, & Laurent, ; Degraeuwe et al, ; Manuel‐Navarrete & Pelling, ); prioritizing ecological protection (Brunner, Huber, & Grêt‐Regamey, ; Eitelberg, van Vliet, Doelman, Stehfest, & Verburg, ); and constraining climate change and carbon emissions (Anaya‐Romero et al, ; Prestele et al, ) as well as sustainable scenarios for relatively singular systems such as water resource systems (Proskuryakova, Saritas, & Sivaev, ), agricultural production systems (Krasa, Dostal, Vrana, & Plocek, ; van Vliet et al, ), and ecological conservation systems (Najmuddin et al, ; Zarandian et al, ). In policy study, those scenario simulation methods could primarily be applied to analyze a single policy dimension or to compare scenarios from different dimensions, but it is difficult to use these models to determine the reasonableness of a policy and even more challenging to quantify the policy deviation.…”