Prediction of Urban Spatial Changes Pattern Using Markov Chain

Urban land uses of all kinds are the constituent elements urban spatial structure. Because influence economic and social factors, cities in general characterized by dynamic state their over time. functions occur a certain way with different patterns. Hence, planners relevant management teams should understand future pattern these changes resorting to quantitative models planning. This is ensure that predictions made high level accuracy so appropriate strategies can be used address problems arising from such changes. The Markov chain method one planning analyze time series based on current values predict without relying past or historical studied series. research questions this study formulated thus: What trends patterns use Al-Najaf, Iraq, between 2005 2015? How predicted for year 2025? hypothesis increasing functional change city during period due various factors. Making accurate size motivates as guide towards developing possible solutions effects change, well need its causes upward trends. contribution article presented outlook next 10 years. computations using model will enable relations develop policies reduce hazards unplanned city. Results show residential posts, slums, commercial activities getting worse, while industrial other things going down. Doi: 10.28991/CEJ-2022-08-04-07 Full Text: PDF