A Review of Urban Growth Prediction Models
Human population continues to aggregate in urban centers, who inevitably increases the urban footprint with significant consequences for biodiversity, climate, and environmental resources. Urban growth prediction models have been extensively studied with the overarching goal to assist in sustainable management of urban centers. Despite the extensive research, these models are not frequently included in the decision making process. The survey found a strong recognition of the models’ potential in decision making, but limited agreement which these models actually reach enough potential in practice. This review aims are an overview of existing models, including advantages and limitations. Also, in general, it will be discussed to main reason for not applying these models in the decision making. Analysis of aggregated statistics indicates that cellular automata are the prevailing modeling technique, present in the majority of published works. Also, being unfamiliar decision-makers with models and thelack of popularity models to research are significant reasons for not using these models in the decision making.
Article Type:
Research/Original Article
Human & Environment, Volume:17 Issue:3, 2019
69 - 83
روش‌های دسترسی به متن این مطلب
اشتراک شخصی
در سایت عضو شوید و هزینه اشتراک یک‌ساله سایت به مبلغ 300,000ريال را پرداخت کنید. همزمان با برقراری دوره اشتراک بسته دانلود 100 مطلب نیز برای شما فعال خواهد شد!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی همه کاربران به متن مطالب خریداری نمایند!