| Resumen |
Guest Editorial Preface
VISIONING SMART CITIES RESEARCH: AN INTEGRATED SCIENTIFIC DEBATE
The papers in this urban computing special issue cover a framework and components of crowdsourcing, and a range of issues related to volunteered geographic information, including user behavior, brand popularity, recommendation system, and social analytics in social networks. Moreover, the special issue is devoted to capture different patterns and dynamics that characterize the big cities in order to reflect understanding of these phenomena and improving the quality of cities.
The contributions in this special issue address the generation of urban data, their representation and analysis, and finally their relevance for urban planning and design, as well as the sustainability of smart cities.
This volume is composed of 5 papers, which are intended to describe important challenges related to problems presented in big cities. For instance, in Saldaña et al., a methodology to obtain information related to traffic events such as accidents or congestions, from Twitter messages and RSS services
is proposed. This work applies a text mining process on the posted messages to acquire the relevant
data, then data are classified by using a machine learning technique. Later, the events are geocoded and transformed into geometric points to be represented on a map. The final repository lets data to be available for further works related to the traffic events on the study area. At the same time, in E |
