Urban Resilience (UR) enables cities and communities to optimally withstand disruptions and recover to their pre-disruption state. There is an increasing number of interdisciplinary studies focusing on conceptual frameworks and/or tools seeking to enable more efficient decision-making processes that lead to higher levels of UR. This paper presents a systematic review of 68 Scopus-indexed journal papers published between 2011 and 2022 that focus on UR. The papers covered in this study fit three categories: literature reviews, conceptual models, and analytical models. The results of the review show that the major areas of discussion in UR publications include climate change, disaster risk assessment and management, Geographic Information Systems (GIS), urban and transportation infrastructure, decision making and disaster management, community and disaster resilience, and green infrastructure and sustainable development. The main research gaps identified include: a lack of a common resilience definition and multidisciplinary analysis, a need for a unified scalable and adoptable UR model, margin for an increased application of GIS-based multidimensional tools, stochastic analysis of virtual cities, and scenario simulations to support decision making processes. The systematic literature review undertaken in this paper suggests that these identified gaps can be addressed with the aid of asset and disaster risk management methods combined with GIS-based decision-making tools towards significantly improving UR.

Purpose: With growing mobility in a globalized world and an estimate of more than 300 million people going on religious pilgrimages every year, various researchers have been focusing on pilgrimage-driven travel services. In this context and within the Islamic religious tradition, the “Umrah” is used as a case study in this paper. In addition, this study also investigated the effects of Umrah SMM (promotion, place, people, product, price, process, physical evidence, marketing communication and after sale service) on customer satisfaction and loyalty toward Umrah travel agents in “Malaysia.” Design/methodology/approach: Convenience sampling technique at four international airports in “Malaysia” was used to obtain data from Umrah travelers who had used Umrah services at least once. A total of 384 usable questionnaires were collected from this study and the data were analyzed using the partial least square. Findings: The result indicated that the marketing mix has a significant positive effect on customer loyalty through customer satisfaction both directly and indirectly. This study will be of interest to the Umrah travel industry, for Malaysia and all the other countries, in understanding how marketing mix strategies are essential in maintaining a long-term relationship with customers. Originality/value: The literature on Umrah travel services revealed that the traditional service marketing mix (SMM) of 7P’s is inadequate. The purpose of this paper is to address this gap and examine an innovative service marketing mix strategy for “Umrah Service” including marketing communication and after sales service. It investigates the effects of enhanced Umrah SMM on customer satisfaction and loyalty towards Umrah travel agents in “Malaysia”.

Climate change threatens urban areas globally. Enhancing resilience is crucial, yet the comprehensive clustering of practical climate adaptation measures for use in construction industry decision-making is notably absent. This study investigates and categorizes various climate adaptation measures, justifying each through a lens of risk management, asset management, and previous scientific work. It takes advantage of the innovative digital platform Netobra, which offers an ecosystem for the construction industry, to provide real-world, practical implications of these measures. Informed by the Urban Resilience Evaluation System, ISO 31000 (risk management), and ISO 55000 (asset management), the study sets out to demonstrate the value of these measures in bolstering urban resilience and improving decision-making in the construction industry. Moreover, the study integrates a hotspot detection mechanism for areas at high risk of climate impacts, using multicriteria decision analysis (MCDA)—analytic hierarchy process (AHP) mapping on Netobra. These identified hotspots and corresponding climate adaptation measures will further be incorporated into a Risk-Informed Asset-Centric (RIACT) process, providing valuable insights for climate change mitigation and adaptation strategies in urban development. Through its in-depth analysis, the study aims to contribute to the understanding of how diverse climate adaptation measures can be practically applied in various sectors, thereby enhancing urban resilience and effective risk and asset management.