An algorithm for spatial aggregation of urban objects and attraction indicators for modeling demand for on-street parking
Abstract
An algorithm for spatial aggregation of urban objects and attraction indicators for modeling demand for on-street parking
Incoming article date: 25.12.2025The article proposes an algorithm for the spatial aggregation of linear urban objects (street parking zones), based on reconstructing the street centerline from a discrete set of coordinates and forming integral attraction indicators. The algorithm is designed for mathematical modeling of demand for paid street parking and ensures the stable formation of explainable factors for subsequent use in regression and gravity models (including the Huff model). A distinctive feature of the approach is the use of principal components to order the geometry of the zones and reduce computational complexity when working with geospatial data.
Keywords: paid parking, parking demand, spatial aggregation, points of attraction, tariff policy, spatial analysis, smart city, Huff model, urban infrastructure, spatial distribution of demand