PurposeThis study aimed to provide a framework that includes the principles of sustainable construction to evaluate their application in the construction of government building projects in various environmental, economic, and social aspects distributed over the project phases throughout its life cycle.Design/methodology/approachQualitative methods from literature review and analysis of sustainability assessment tools were used to design the framework. The designed framework included six main categories, comprising 19 indicators that include sustainable building principles to assess application levels in government construction projects. It was used to evaluate applying sustainability practices in Jordanian government construction projects. 133 questionnaires were distributed to a convenience sample of three government institutions concerned with the design, implementation, and management of government buildings in Jordan.FindingsAfter collecting the quantitative data, the results showed that there is an application of six sustainability principles during the initial planning, analysis, and design stages of Jordanian government construction projects. The results focused on the application levels in social sustainability principles versus environmental and economical, especially in the operating stages during the project life cycle.Originality/valueThis study contributes by providing a tool to evaluate the sustainability of government construction projects and increase the efficiency and effectiveness of these types of buildings in both the short and long term by making them more sustainable. Subsequently, recommendations are made on reorienting government construction projects toward a sustainable building approach.
PurposeDespite the enormous need to succeed in the urban model, scientists and policymakers should work consistently to create blueprints to regulate urbanization. The absence of coordination between the crucial requirements and the regional strategies of the local authorities leads to a lack of conformance in urban development. The purpose of this paper is to address this issue.Design/methodology/approachThis study intends to manage future urban growth patterns using integrated methods and then employ the results in the genetic algorithm (GA) model to considerably improve growth behavior. Multi-temporal land-use datasets have been derived from remotely sensed images for the years 1990, 2000, 2010 and 2020. Urban growth patterns and processes were then analyzed with land-use-and-land-cover dynamics. Results were examined for simulation and utilization of the GA.FindingsModel parameters were derived and evaluated, and a preliminary assessment of the effective coefficient in the formation of urbanization is analyzed, showing the city's urbanization pattern has followed along with the transportation infrastructure and outward growth, and the scattering rates are high, with an increase of 5.64% in building area associated with a decrease in agricultural lands and rangelands.Originality/valueThe research achieved a considerable improvement over the growth behavior. The conducted research design was the first of its type in that field to be executed to any specific growth pattern parameters in terms of regulating and policymaking. The method has integrated various artificial intelligence models to monitor, measure and optimize the projected growth by applying this design. Other research on the area was limited to projecting the future of Amman as it is an urbanized distressed city.
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