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Ing. Jan Bečvařík, MBA

2025, Neural Network World, 35 (2), p. 17-36), ISSN 2336-4335

Brownfield redevelopment represents a key strategy for sustainable urban transformation, yet mobility management in capacity-constrained industrial campuses remains insufficiently explored. This paper proposes a digital twin framework for corporate mobility management applied to the Cesana brownfield in Mlad´a ˇ Boleslav. The model integrates travel demand, behavioural adaptation, infrastructure capacity, and policy scenarios within a dynamic simulation environment. Analyses indicate that coordinated multimodal strategies and incentive mechanisms can significantly reduce car dependency without infrastructure expansion. The framework demonstrates potential as a transferable decision-support tool for mobility planning in industrial brownfield contexts.

Article in a journal indexed in SCI Expanded