Three Decades of Business Activity Evolution in Curitiba: A Case Study

Nádia P. Kozievitch (), Thiago H. Silva, Artur Ziviani, Giovani Costa and Gustavo Lugo
Additional contact information
Nádia P. Kozievitch: Universidade Tecnológica Federal do Paraná
Thiago H. Silva: Universidade Tecnológica Federal do Paraná
Artur Ziviani: Laboratório Nacional de Computação Científica
Giovani Costa: Universidade Tecnológica Federal do Paraná
Gustavo Lugo: Universidade Tecnológica Federal do Paraná

Annals of Data Science, 2017, vol. 4, issue 3, No 1, 307-327

Abstract: Abstract Recent concepts such as Smart Cities, Urban Computing, and Geographic Information Systems are being discussed in various international forums, using themes such as sustainability and efficient use of the city infrastructures. One important aspect in this regard is to correctly associate computational techniques with statistical models and integrate heterogeneous data sources using open data shared by cities. Based on that, this study uses open data from the city of Curitiba (Brazil) in order to bring results on the spatiotemporal evolution of business activities along a period of over thirty years. To that end, the study identifies and discusses important challenges that had to be tackled toward data quality, data categorization, and data integration, in order to perform this type of study in practice. By looking at the dynamics of geographically grounded microeconomic variables, this study shows how the expansion and diversification of business types in different neighborhoods happened, contributing to a better understanding of the process of evolution of the business activity in a city.

Keywords: Smart Cities; Urban Computing; Geographic Information Systems; Open data (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-017-0104-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:aodasc:v:4:y:2017:i:3:d:10.1007_s40745-017-0104-5

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-017-0104-5

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().