Casual Layered Analysis (CLA) Method and its Application in Deep Problem Analysis in Urban and Regional Chaotic Systems

In the period of urban inflation and the downturn of urban disruption, we are witnessing the confrontation of two complex systems of the earth: biosphere (land, sea and atmosphere) and technology of the earth (cities, industry, trade and government). On the one hand, today is faster than any other time of year and undergoes widespread developments. This widespread transformation, following a nonlinear process, creates many complexities and uncertainties that make it difficult to deal with. In such circumstances, we have found that urban planners and policymakers lack an efficient future-oriented approach that enables them to make imminent changes, prepare effectively for subsequent consequences, and address Overcome the intricate and confused intricacies. One of the most important reasons for this is the inefficiency of cognitive tools in current and current decision-making and planning. In many cases, a lack of understanding of the conditions and causes of phenomena as well as the adherence of the planning process to the stereotypical process can lead to numerous problems in the target planning community and failure to realize the plans. The causal layered analysis method is one of the most important and effective methods in the field of futures studies that seeks to combine and integrate empirical, interpretive, critical, and intra-operative perspectives. It offered a much deeper look into the causes of complex issues in the chaotic urban environment, and then made realistic decisions.