Evaluating the Usability of the TOPODATA DEM to Measure Cyclist Accessibility: A Case Study of a Small Town

Devising urban mobility plans for Brazilian cities, especially small ones, lacks technical support, such as altimetric surveys that allow the representation of the terrain accurately, causing many transportation planners to benefit from Digital Elevation Models (DEMs). This study aims to evaluate th...

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Detalles Bibliográficos
Autores: Monari, Marcelo, Segantine, Paulo César Lima, Silva, Irineu da
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Federal de Uberlândia (UFU)
Repositorio:Revista brasileira de cartografia - RBC (Online)
Idioma:portugués
inglés
OAI Identifier:oai:ojs.www.seer.ufu.br:article/65117
Acceso en línea:https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/65117
Access Level:acceso abierto
Palabra clave:Bicicleta
Acessibilidade
MDE
TOPODATA
GNSS
Bicycle
Accessibility
DEM
Descripción
Sumario:Devising urban mobility plans for Brazilian cities, especially small ones, lacks technical support, such as altimetric surveys that allow the representation of the terrain accurately, causing many transportation planners to benefit from Digital Elevation Models (DEMs). This study aims to evaluate the usability of TOPODATA DEM to measure the accessibility of cyclists to their potential travel destinations. A case study was conducted in the city of Bariri-SP (Brazil), where altimetric data collected using GNSS technology was previously available. Expected speeds for cyclists were assigned to the road segments as a function of their respective TOPODATA and GNSS slopes, allowing the identification and comparison of the shortest homologous paths between the units of analysis and bicycle Trip Attractors (TAs). The homologous accessibilities in each unit of analysis were also compared with each other, and the differences between them were evaluated according to their spatial autocorrelation, in addition to their spatial dependence on TOPODATA altitudes and slopes. The impact on the overall accessibility of different population groups in the city when using the DEM was also observed. The results suggest the shortest homologous paths that are quite similar to each other, although the accessibility samples for both sources of altimetric information differ statistically. A strong spatial autocorrelation was observed between differences in homologous accessibilities, but moderate to weak spatial dependences were observed between this variable and TOPODATA altitudes or slopes. The overall accessibility of each evaluated population group is similar regardless of the criterion used.