## 1 Introduction  
Urban settlements are expected to house more than 60% of the world's population by 2030. According to UN forecasts, there are already over 4 billion urban inhabitants worldwide, with more than 863 million unofficial residents in urban settlements. This number is projected to grow at a rate of over 1 million every 10 days [1]. Urban areas produce more than 75% of the global GDP and account for the majority of global energy consumption. Cities also contribute to 70% of global greenhouse gas emissions. Additionally, 90% of metropolitan areas are located on coasts, exposing a large portion of the worldwide population to disaster risks arising from climate change [2]. As urbanization continues to increase, tackling the problems associated with urbanization and climate change requires innovative sustainable solutions to enhance Urban Resilience (UR). UR is a concept that addresses the issues of urbanization and climate change in all its facets. The study's relevance and significance can be found in the fact that natural hazards such as earthquakes, floods, windstorms, tsunamis, and volcanic eruptions pose a perpetual threat to the safe and effective functioning of critical infrastructures in a critical public service context [3]. These natural disasters have the potential to disrupt the flow of information and trade, as well as compromise security and safety [4]. This is particularly true in the current global economy, where supply chain interruptions are becoming increasingly common [5,6]. Implementing efficient urban resilience (UR) concepts requires a multidisciplinary approach that involves all relevant stakeholders. A long-term strategy is essential for achieving sustainable UR. To enhance resilience and prepare for natural disasters, cities must focus on building early warning systems, developing emergency operations plans, and implementing risk mitigation measures within their communities [7, 8, 9]. Enhancing Urban Resilience (UR) requires a range of solutions that can be implemented at different levels and by various stakeholders [10,11]. These solutions can include regulations, legislation, guidelines on technical issues such as building codes or land use planning, financing for services and critical infrastructure assets, and urban planning tools such as zoning plans. Additionally, partnerships between local authorities and various organizations can play an important role in implementing UR strategies [12,13]. In recent years, experts and politicians have been focusing on identifying the most effective techniques for dealing with natural disasters in cities. This has been driven by the increased frequency and severity of natural disasters due to climate change, and the need to better understand how cities can withstand these events and prepare for them [14, 15, 16]. The purpose of this review paper is to examine the major trends in Urban Resilience (UR) research and explore how management approaches, decision science methods and tools can support the achievement of the United Nations (UN) Agenda for Sustainable Development by increasing resilience in cities and communities. Additionally, the paper aims to identify research gaps and potential opportunities to enhance multidisciplinary UR decision-making processes. This paper is divided into six sections. The introduction provides an overview of the motivation and scope of the review, as well as the objectives of the paper. The second section examines the background knowledge and relevant approaches and techniques that can impact UR, including how UR and sustainability can be enhanced through asset management and risk management approaches and decision science and support tools, specifically GIS-based tools, to improve the performance of assets and asset systems in cities during natural and man-made disasters. The third section details the methodology used to conduct the systematic review, including the PRISMA protocol, keywords, and selection of studies. The fourth section presents a bibliometrics and results analysis, including data visualization.