Stepwise multiple linear regression applied to study the influence of pedestrian volumes according to environmental characteristics

• Autores: Juan Carlos Gómez Sánchez, María Victoria de la Fuente Aragón, Lorenzo Ros McDonnell
• Localización: Dirección y organización: Revista de dirección, organización y administración de empresas, ISSN 1132-175X, Nº 75, 2021, págs. 52-61
• Idioma: inglés
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• Resumen

  • Since the start of the 1990s, the evolution of socio-economic, local and regional factors in western society has placed pedestrians at the focal point of urban mobility plans until the present-day. This comes over in the many research works conducted in this area, which evidence the need to lay the foundations of the relation between urban planning and people’s health. Despite many methodologies being proposed to analyse this relation, those that strike a balance between the pedestrial volume in an area and its environmental characteristics provide the best results, but start with multivariable models that are not easy to calculate. This article aims to collect and reduce those variables that significantly affect population movements depending on the study area’s commercial level. Of all the different existing mathematical models, stepwise linear regression was chosen to do this. Finally, the present work concludes that connectivity and urban furnishing in prime areas, the presence of bars and offices in secondary areas and connectivity, residential density and mixed-use zones in tertiary areas are key factors that should be considered when planning the studied areas in the future