###### Abstract  
A business-continuity plan is crucial in providing an organization with the ability to maintain operations against possible risks. Therefore, companies should consider holistic risk management to sustain their activities and enhance their capabilities. Also, sustainability is able to eliminate the number of adverse environmental effects and increase the financial and social performance of a company. The purpose of this paper is to evaluate the sustainability and risk performance pillars for logistics networks, including a business-continuity plan. For this particular aim, this study considers the ten main criteria and sixty-six sub-criteria to evaluate sustainability and risk performances in logistics operations when dealing with a business-continuity plan under uncertainty. A novel and innovative four-phased integrated procedure involving a fuzzy-based AHP method with novel linguistic scales and operators is proposed. The TOPSIS technique, part of the integrated technique, is also presented to rank the alternative cities for an urban logistics network analysis. Moreover, the criteria of transportation and information infrastructures are analyzed for logistics operations. A case study of the thirty metropolitan cities in Turkiye is conducted to determine the best logistics center for a logistics firm. Several scenario analyses are performed, and a comparison study is also carried out from the literature. This study comprehensively analyzes the problem, including sustainability, risks, renewable energy and social aspects. Based on the results from the fuzzy-based AHP method, economic, safety and hazard risk are the top three main criteria. Moreover, Istanbul, Konya and Ankara are the top three alternatives for logistic networks from the results of the TOPSIS technique. Finally, managerial and policy implications are presented for policy-makers who should pay attention to the main criteria and sub-criteria in this paper for successful logistics operations dealing with the business-continuity plan when achieving Sustainable Development Goals. business-continuity plan; sustainability; risk; fuzzy decision-making; urban logistics networks 2020 IEEE/RSJ International Conference on Intelligent Transportation Systems (ICRI), 2020  
in their flow to the final consumer. However, the risks and disruptions faced by the supply chain negatively affect economic efficiency and cause companies to lose their competitiveness and even go bankrupt. A series of disruptions caused by strikes at the Ford's Kentucky truck factory in 2023 led to production interruptions and loss of profits of around USD 1.7 billion. In addition, the problem has put Tier-2 suppliers at risk of financial risk and bankruptcy due to lack of liquidity, high loan interest rates and difficulties in obtaining loans [1; 2]. Furthermore, the deterioration in the economic outlook resulting from the COVID-19 pandemic has led to global supply barriers and increased prices in economies, thus leading to unprecedented global inflation. Central banks globally responded to the deterioration in economies by rising interest rates [3; 4]. Also, in 2021, the container ship's closure of the Suez Canal caused the interruption of trade worth more than USD 10 billion per day. As of 2024, the security risks supply chains face continue, and this situation is expected to increase the difficulties encountered in the supply chain and high inflation pressures [3; 4]. Furthermore, risk management in logistics faces many complex obstacles due to centralized distribution, rapidly changing consumer expectations, lack of necessary information, management of information flows, and compliance with various standards [5]. Small and medium enterprises (SMEs) constitute nearly 90% of businesses in economies [6]. Therefore, these businesses constitute the backbone of employment, tax revenue, resource use and growth. Although the definition of SMEs may vary depending on the country, it is a common situation that these businesses face similar potential risks that may arise in every country.