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From Data Harvesting to Querying for Making Urban Territories Smart

Abstract : This chapter provides a summarized, critical and analytical point of view of the data-centric solutions that are currently applied for addressing urban problems in cities. These solutions lead to the use of urban computing techniques to address their daily life issues. Data-centric solutions have become popular due to the emergence of data science. The chapter describes and discusses the type of urban challenges and how data science in urban computing can face them. Current solutions address a spectrum that goes from data harvesting techniques to decision making support. Finally, the chapter also puts in perspective families of strategies developed in the state of the art for addressing urban problems and exhibits guidelines that can lead to a methodological understanding of these strategies.
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https://hal.archives-ouvertes.fr/hal-03042302
Contributor : Genoveva Vargas-Solar Connect in order to contact the contributor
Submitted on : Sunday, December 6, 2020 - 2:42:50 PM
Last modification on : Tuesday, August 10, 2021 - 2:32:05 PM
Long-term archiving on: : Sunday, March 7, 2021 - 6:15:04 PM

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Genoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro, José Zechinelli-Martini, Javier Espinosa-Oviedo. From Data Harvesting to Querying for Making Urban Territories Smart. Carlos Alberto Ochoa. Innovative Applications in Smart Cities, Taylor and Francis, In press, ⟨10.1201/9781003191148⟩. ⟨hal-03042302⟩

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