Análisis de la accesibilidad peatonal a partir de la caracterización de caminos potenciales mediante tecnologías de captura masiva de datos

Resumo

Analyzing pedestrian movement in urban areas is complex due to the multiple factors involved and the difficulty of obtaining precise data. This thesis explores the use of LiDAR and GIS technologies to capture and analyze data to optimize pedestrian routes, especially in the school environments. The objective is to implement policies that ensure the safety and efficiency of these movements within urban mobility. Throughout the articles in this compendium, the use of geographic technologies to obtain information about urban mobility is examined in depth, understanding displacement habits and collective knowledge through participatory processes. This includes analyzing the most frequented routes, the means of transportation used, and the identification of dangerous points. Subsequently, a methodology is presented to characterize the urban pedestrian space using LiDAR MLS data, automatically segmenting point clouds and generating impedance surfaces to create a high-resolution 3D model of the pedestrian space. Finally, a method is proposed to evaluate pedestrian mobility in cities, identifying the most suitable routes and highlighting the importance of considering obstacles in route planning. The thesis emphasizes the use of advanced technologies and a multidisciplinary approach to improve urban and school mobility, contributing to the creation of more sustainable and safer cities, aligned with the Sustainable Development Goals (SDGs) of the 2030 Agenda.