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Countries worldwide have implemented several strategies to achieve the Sustainable Development Goals (SDGs), to which sustainable construction projects can contribute significantly. However, an integrated assessment and management method for sustainable construction projects is needed to improve the contributions of such projects to achieving the SDGs. Hence, this research aims to develop an innovative framework that integrates contributions to achieving the SDGs within the assessment and management of sustainable construction projects. We reviewed previous research and used the Delphi method to identify assessment indicators and construct a framework. Next, two new indices were constructed: the Sustainable Construction Project Indicator Contributions Index (SCPICI) and the Integrated Sustainable Construction Project Contributions Index (ISCPCI). Lastly, a focus group discussion was conducted. According to the SCPICI, the top five indicators are energy-efficient management (27.58), the use of renewable energy (27.51), measurements of energy savings during the construction and operation phases (26.64), water savings during construction and operation phases (26.18), and water recycling (25.46). The research findings indicate that sustainable construction projects substantially contribute to achieving SDGs 3, 6, 7, 8, 9, 11, 12, 13, and 15. Policymakers and other stakeholders in the construction sector could use the proposed framework to assess and manage sustainable construction projects. Moreover, researchers worldwide could use the proposed methods to develop new frameworks in other countries. [ABSTRACT FROM AUTHOR]

Average Annual Daily Traffic (AADT) is an important traffic parameter used in transportation infrastructure planning, as well as in related research activities, such as air quality modeling or noise and vibration modeling. The main objective of this research is to provide expansion factors for arterials in Amman, including the Hourly Expansion Factor (HEF), Weekly Expansion Factor (WEF) and Monthly Expansion Factor (MEF), which can be used to provide an accurate estimate of AADT from available short-term traffic counts. The analysis was conducted on 8 arterials and 8 intersections in Amman. The obtained expansion factors were validated through random sampling of existing traffic data from permanent traffic counting stations in Amman. Finally, AADT was generated by applying the identified expansion factors and then comparing the values obtained with values described in literature and previous studies using comparable methods for similar roadways. The identified p-factors and expansion factors were found to be compatible to the factors obtained and described in literature. [ABSTRACT FROM AUTHOR]