TL;DR
The huff Python package offers a comprehensive, modular toolkit for market area analysis, including data handling, model fitting, accessibility metrics, and visualization, useful across various geographic and economic research fields.
Contribution
It provides the first complete, open-source Python workflow for market area modeling, integrating data processing, parameter estimation, and spatial analysis in a user-friendly package.
Findings
Includes methods for estimating model parameters from empirical data.
Supports calculation of distance and travel time indicators.
Offers spatial accessibility analysis tools.
Abstract
Market area models, such as the Huff model and its extensions, are widely used to estimate regional market shares and customer flows of retail and service locations. Another, now very common, area of application is the analysis of catchment areas, supply structures and the accessibility of healthcare locations. The huff Python package provides a complete workflow for market area analysis, including data import, construction of origin-destination interaction matrices, basic model analysis, parameter estimation from empirical data, calculation of distance or travel time indicators, and map visualization. Additionally, the package provides several methods of spatial accessibility analysis. The package is modular and object-oriented. It is intended for researchers in economic geography, regional economics, spatial planning, marketing, geoinformation science, and health geography. The…
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