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<title>Digital society as a determining factor in mobility, urban dynamics and current cities structure</title>
<creator>Castillo Luna, Víctor Manuel</creator>
<subject>Movilidad</subject>
<subject>COVID-19</subject>
<subject>Mobility</subject>
<description>Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos</description>
<description>The development and evolution of the digital society has brought about relevant changes in&#xd;
the way people experience the city today. In particular, its impact on mobility patterns is&#xd;
evident, especially in the Post-COVID-19 society, where it is possible to access different&#xd;
types of daily activities online (e.g. working, shopping, training, etc.). At the same time, this&#xd;
digital era brings with it new challenges for urban and transport planning, in which&#xd;
information and communication technologies (ICT) can play a relevant role as transformers&#xd;
of traditional urban structures. For this reason, studying and understanding how the digital&#xd;
society is transforming current cities is important and necessary to optimize planning&#xd;
patterns/guidelines and achieve more sustainable and inclusive cities.&#xd;
To address this challenge, this project has implemented multivariate statistical techniques to&#xd;
characterize the city of Madrid (Spain) at urban level, in order to detect the impact of ICTs&#xd;
on the current urban structure of the city. The methodology incorporated both factorial and&#xd;
cluster analysis with spatial restriction, based on a set of starting indicators referring to urban&#xd;
equipment, demography, socioeconomics, transportation, as well as variables of the digital&#xd;
society (e.g., electronic mailboxes-online commerce, free public and commercial Wi-Fi&#xd;
points, etc.).&#xd;
The results, among other things, show an optimal classification grouping, as well as the way&#xd;
it was obtained. In this case, the optimal classification grouping is the one conformed by 6&#xd;
clusters, in which different relationships were detected between the space built, the&#xd;
equipment and aspects of the digital society such as online shopping and the proximity to&#xd;
transport equipment public and physical commerce. These results support a growing&#xd;
influence of the digital society in the urban characterization, suggesting the need to translate&#xd;
this influence into effective planning criteria.</description>
<date>2022-09-21</date>
<date>2022-09-21</date>
<date>2021-07</date>
<type>info:eu-repo/semantics/conferenceObject</type>
<identifier>978-84-18465-12-3</identifier>
<identifier>http://hdl.handle.net/10259/6996</identifier>
<identifier>10.36443/10259/6996</identifier>
<language>eng</language>
<relation>R-Evolucionando el transporte</relation>
<relation>http://hdl.handle.net/10259/6490</relation>
<relation>https://doi.org/10.36443/9788418465123</relation>
<rights>info:eu-repo/semantics/openAccess</rights>
<publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>