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This is a Quantitative Study study.

October 15, 2025MathematicsOpen Access

Data-Driven Spatial Zoning and Differential Pricing for Large Commercial Complex Parking

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Both pricing models effectively reduce spatio-temporal occupancy variance and enhance utilization balance.
The administered pricing strategy decreases variance by up to 67% on weekdays, resulting in a small revenue increase.
A mixed Logit model with interactions captures diverse user preferences in parking usage patterns.
Findings suggest that integrating behavioral modeling and optimization can lead to smarter parking facility management.

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Data-driven analysis reveals effective differential pricing and zoning strategies, improving parking efficiency and revenue.

Yang et al. (2025) studied this question.

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