The digital footprint of the cycling city GPS cycle routes visualization and analysis
This famous quote by the American cyclist John Howard (1987) highlights an important fact for this thesis: cycling mobility is extraordinarily complex because the human engines that the quote refers to are affected by a wide range of physical, social, environmental and psychological factors. This is...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis doctoral |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/16756 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/16756 |
| Access Level: | acceso abierto |
| Palabra clave: | 656.183(043.2) Transportes urbanos Urban transportation Geografía 2505 Geografía |
| Sumario: | This famous quote by the American cyclist John Howard (1987) highlights an important fact for this thesis: cycling mobility is extraordinarily complex because the human engines that the quote refers to are affected by a wide range of physical, social, environmental and psychological factors. This is the reason why cycling mobility is being currently analysed from multiple perspectives by researchers from many different disciplines. In addition, the fact that research production on cycling mobility has grown exponentially over the last years, also evidences the extraordinary interests of this field of research. However, there are some relevant aspects of cycling mobility that still remain relatively underexplored, such as its spatial dimension, which is the main focus of interest of this research. This thesis essentially explores cycling mobility across the city, and its main objective is to collect, visualise, analyse and model cyclists’ routes and the distribution of cycling flow across the urban street network,with the aim of reaching a better understanding of cyclists’ behaviour and cycling mobility patterns in cities. The research also aimed at analysing cyclists’ operating speeds, estimating cycling travel times and performing a comparative analysis of cycling accessibility in relation to other transport modes. Finally, it aimed at predicting the values of cycling travel times and cycling accessibility for future scenarios, derived from the implementation of specific policies or the construction of particular infrastructure... |
|---|