Abstract:
This article examines the modeling of sustainable development in transport logistics, focusing on the impact of climate factors, changing weather conditions, and digitalization
processes. The study analyzes the complex influence of adverse weather phenomena, such
as fog, rain, snow, extreme temperatures, and strong winds, whose frequency and intensity
are increasing due to climate change, on the efficiency, safety, and reliability of transport
systems across all modes except pipelines. Special attention is paid to the integration of
weather-resilient sensor technologies, including LiDAR, thermal imaging, and advanced
monitoring systems, to strengthen infrastructure resilience and ensure uninterrupted transport operations under environmental stress. The methodological framework combines
comparative analytical methods with economic–mathematical modeling, particularly Leontief’s input–output model, to evaluate the mutual influence between the transport sector
and sustainable economic growth within an interconnected ecosystem of economic and
technological factors. The findings confirm that data-driven management strategies, the
digital transformation of logistics, and the strengthening of centralized hubs contribute
significantly to increasing the resilience and flexibility of transport systems, mitigating
the negative economic impacts of climate risks, and promoting long-term sustainable
development. Practical recommendations are proposed to optimize freight flows, adapt
infrastructure to changing weather risks, and support the integration of innovative digital
technologies as part of an evolving ecosystem.
