Strategic Management of Urban Sustainability and Resilience: Navigating the BANI Environment in Ukrainian Context
This article proposes a strategic framework for Kyiv’s post-conflict sustainability and resilience under brittle, anxious, non-linear, and incomprehensible (BANI) conditions. We integrate adaptive governance, circular-economy reconstruction, and city-scale digital capabilities, including AI-enabled analytics, IoT sensing, and urban digital twins. Building on recent assessments of Ukraine’s reconstruction needs, we outline a socio-technical model that links sustainability and resilience objectives under shock risk and budget constraints and show how an illustrative five-year optimisation can rebalance investments toward distributed renewables and early-warning infrastructure. The example portfolio achieves an end-horizon composite performance of Foptimized(5) = 0.65 (on a 0–1 normalised index where 1 indicates achieving the policy-defined targets; 0.65 indicates ~65% progress toward those targets at year 5, improving on the baseline allocation under shocks), indicating improved robustness relative to a baseline allocation. We emphasise that effective implementation depends on secure-by-design digital architecture, participatory prioritisation of indicators and weights, and iterative monitoring that supports rapid adaptation as conditions evolve. The framework provides a pragmatic roadmap for Kyiv and similarly vulnerable cities seeking a low-carbon recovery while reducing systemic brittleness and mitigating anxiety-driven decision-making delays.
Authors
- Іhor Biletskyi (ORCID: https://orcid.org/0000-0002-4125-3931)
- Sergiy Bushuyev
- Igor Chumachenko
- Victoria Bushuieva
- Carsten Wolff
Institutions
- Kyiv National University of Construction and Architecture (UA)
- Dortmund University of Applied Sciences and Arts (DE)
- O.M. Beketov National University of Urban Economy in Kharkiv (UA)
Publication Details
- Journal
- Urban Science
- Published
- 2026-02-02
- DOI
- https://doi.org/10.3390/urbansci10020091
- Citations
- 1
- Primary Topic
- Smart Cities and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 37.55