Rough pavements have a substantial influence on public approval, safety, and the economy. It is imperative to understand road surface conditions, particularly in decision-making processes for road maintenance, asset management, maintenance planning, and programming. In interpreting road pavement conditions, there are various methods of determining metrics and parameters. Thus, ride quality is one of the essential requirements for travelers to check road pavements. Addressing the identified research gaps is needed: 1) sensitivity of IRI values, 2) inaccuracy between no. of vehicles’ wheels, 3) characteristics of Android-based smartphones used, and 4) age of pavement. Results show the need for developing an index of roughness, representing urban roads’ unique features and predicting users’ road conditions. It is an impressive win for a model that would cover all the identified gaps—further recommends that future researchers consider the cause of when, how, and why a pavement deteriorates, given that there are different pavement situations. Thus, it complements the analysis results significantly and provides a better picture of the paving conditions.

Traffic accidents contribute to any loss of life and property and loss of services. It occurs when a vehicle collides with another vehicle or objects. Some factors will establish, leading to injuries and even related accidents that can be avoided or minimized by employing appropriate measures. These damages resulted from the costs of recovery and reduced productivity. The Traffic Management Systems (TMS) for this analysis will base on a compilation of previous studies, and it will index the following crucial areas: (a) traffic accidents and their factors, and (b) safety models. Some of the gaps to be addressed include 1) unavailability of data for essential factors, 2) variation of the parameter used, and 3) complexity of the method used. This paper will help to the detailed analysis of the traffic management systems, outlining the fundamental problems and limitations of current systems and providing several avenues for enhancing the performance of traffic management systems.

A building faces several challenges across its lifecycle stages. Challenges such as production inefficiency and inadequate waste management hinder advancement in the construction industry. Furthermore, the sector has emerged as one of the largest producers of waste in the world, which can lead to detrimental impacts on the economy and the environment. Conventional approaches are insufficient to eradicate these concerns. Thus, practitioners have sought to implement novel methods to ameliorate the construction process. In this regard, design for manufacturing and assembly (DfMA) and design for deconstruction (DfD) have gained prominence, as studies have elucidated the methods’ unprecedented potential to wholly transform the construction process and mitigate the unwanted impacts brought about by the industry. This study identified the applications and benefits of DfMA and DfD in construction, as well as recent developments and research gaps, through a literature review, using Scopus as the primary database and MATLAB for conducting data text analytics. The current body of knowledge necessitates a further assessment of the following research gaps: (1) development of standard construction-oriented DfMA guidelines; (2) corroboration of the developed DfMA tools through practical application; (3) integration of these holistic design approaches with emerging technologies, such as additive manufacturing and digital fabrication; (4) comparison of structures constructed using DfMA and DfD with structures built with conventional approaches; (5) comprehensive application of DfD guidelines to structural systems; (6) integration of DfMA and DfD; (7) execution of sustainability assessment studies to evaluate the impact of DfMA and DfD; and (8) identification of solutions to the barriers to DfMA and DfD uptake in construction.

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