Afghanistan witnessed rapid urbanization in recent decades due to the post-war recovery process. When the war ended in 2001 by fall of Taliban regime, most Afghans refugees returned to urban areas of Afghanistan, especially in Kabul city. Moreover, the rapid urbanization, migration from rural areas, and population growth impacted on Kabul city with the manifestation of informal settlement. It is acknowledged that the residents of informal settlements suffer social, spatial, and economic exclusion from the benefit and opportunity of an urban environment. Furthermore, the residents of informal settlements experience disadvantages by geographical marginalization, shortage of basic infrastructure, improper governance framework, vulnerability into the effect of poor environment, and natural disaster. With all the above, the problems of informal settlements are considered challenges for and informal residents. Thus, it is a dire need to tackle and overcome problems of informal settlements. Therefore, this paper aims to identify the most proper approaches to addressing informal settlement problems in District13 of Kabul city. In order to reach this aim, interviews and a questionnaire survey have been conducted with government officials and local inhabitants. And the finding of this paper indicates that through the resident’s preferences, government capacity, and District 13 physical condition there are three approaches which can be implemented and adopted for improvement of informal settlement in District 13 of Kabul city, which is settlement upgrading as the first option, the land readjustment as the second option and urban redevelopment as the last option.
This study aims to Analyzing the nature of Construction Projects, Analyzing the Nature of Construction Projects Risk, and Analyzing The mechanism of Risk Management. This Study adopted The Quantitative Method. The Summary Concluded From The Study Lies in the Theoretical Study of construction Project`s Risk. The Construction Project Contains Many Risk Which Related to Different Factors: Legal, Organizational, Technical, Zoning, Financial, Social and Political Factors. The Process of Management of Construction Projects includes: Planning of Risk Management, Risk Identification By (Checklist Analysis, Questionnaire, Personal Interview, Brainstorming Technique, Delphi Technique), Risk Analysis By Qualitative Analysis By (Probability and Impact Assessment, Cause and Effect Diagram, Probability and Impact Matrix) and Quantitative Analysis By (Probability Distributions, interviews , Sensitivity Analysis, Fault tree, Events tree, Munte Carlo Simulation), Planning the Response to Risk By (Strategies for Response to Negative Risk , and Strategies to Positive Risks), and Risk Control and Cheek. Depending on The Conclusions, The Study Recommends the Following: Process of Assessing The Efficiency of Construction Companies. Use Qualitative Analysis and Quantitative Analysis in The Process of diagnosis, and Categorization of Risk in the Process of Risk Management. Studying Types of Contracts of Construction Projects.
Conceptual cost estimates are often made at the beginning of the project when project scope is not yet well defined. Hence, predicting the conceptual costs on time, with high accuracy, presents a considerable challenge. One potential solution is to more effectively utilize historical data via integration with predictive analytical models. In this project, a decision support system was developed which predicts conceptual costs of construction projects and supports decision-making for long-term capital planning in public universities. The prototype system was developed based on historical data for roofing projects at the University of Alabama. We collected this historical data via a web-based data entry form subsystem. The developed system uses ridge regression models to train historical data. This system has a user-friendly interface and supports what-if analysis, allowing the user to see multiple scenarios of the estimation. The system also encompasses capabilities to forecast the effects of inflation on multi-year projects. Subsequent validation has demonstrated improvement in the resulting accuracy of the conceptual estimates.
