Contribution Towards Smart Cities

Exploring Block Level Census Data for the Characterization of Change in Lisbon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The interest in using information to improve the quality of living in large urban areas and the efficiency of its governance has been around for decades. Nevertheless, recent developments in information and communications technology have sparked new ideas in academic research, all of which are usually grouped under the umbrella term of Smart Cities. The concept of Smart City can be defined as cities that are lived, managed and developed in an information-saturated environment. However, there are still several significant challenges that need to be tackled before we can realize this vision. In this study we aim at providing a small contribution in this direction, by maximizing the usefulness of the already available information resources. One of the most detailed and geographically relevant information resources available for studying cities is the census, more specifically, the data available at block level. In this study we use self-organizing maps (SOM) to explore the block level data included in the 2001 and 2011 Portuguese censuses for the city of Lisbon. We focus on measuring change, proposing new ways to compare the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at providing a twofold portrait: showing how Lisbon evolved during the first decade of the twenty-first century and how both the census dataset and the SOMs can be used to produce an informational framework for micro analysis of urban contexts.
Original languageEnglish
Title of host publicationTrends in Spatial Analysis and Modelling
Subtitle of host publicationDecision-Support and Planning Strategies
EditorsMartin Behnisch, Gotthard Meinel
PublisherSpringer
Pages59-73
ISBN (Electronic)978-3-319-52522-8
ISBN (Print)978-3-319-52520-4
DOIs
Publication statusPublished - 2018

Publication series

NameGeotechnologies and the Environment
Volume19

Fingerprint

Self organizing maps
Microanalysis
Communication
Smart city

Keywords

  • SOM
  • Clustering Geo-demographics
  • Census data
  • Smart cities

Cite this

Bação, F. J. F. L., Henriques, R., & Antunes, J. (2018). Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon. In M. Behnisch, & G. Meinel (Eds.), Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies (pp. 59-73). [Chapter 4] (Geotechnologies and the Environment; Vol. 19). Springer. https://doi.org/10.1007/978-3-319-52522-8_4
Bação, Fernando José Ferreira Lucas ; Henriques, Roberto ; Antunes, Jorge. / Contribution Towards Smart Cities : Exploring Block Level Census Data for the Characterization of Change in Lisbon. Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies. editor / Martin Behnisch ; Gotthard Meinel. Springer, 2018. pp. 59-73 (Geotechnologies and the Environment).
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Bação, FJFL, Henriques, R & Antunes, J 2018, Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon. in M Behnisch & G Meinel (eds), Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies., Chapter 4, Geotechnologies and the Environment, vol. 19, Springer, pp. 59-73. https://doi.org/10.1007/978-3-319-52522-8_4

Contribution Towards Smart Cities : Exploring Block Level Census Data for the Characterization of Change in Lisbon. / Bação, Fernando José Ferreira Lucas; Henriques, Roberto; Antunes, Jorge.

Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies. ed. / Martin Behnisch; Gotthard Meinel. Springer, 2018. p. 59-73 Chapter 4 (Geotechnologies and the Environment; Vol. 19).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AU - Henriques, Roberto

AU - Antunes, Jorge

N1 - Bação, F. J. F. L., Henriques, R., & Antunes, J. (2017). Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon. In M. Behnisch, & G. Meinel (Eds.), Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies (pp. 59-73). [Chapter 4] (Geotechnologies and the Environment; Vol. 19). Springer. https://doi.org/10.1007/978-3-319-52522-8_4

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N2 - The interest in using information to improve the quality of living in large urban areas and the efficiency of its governance has been around for decades. Nevertheless, recent developments in information and communications technology have sparked new ideas in academic research, all of which are usually grouped under the umbrella term of Smart Cities. The concept of Smart City can be defined as cities that are lived, managed and developed in an information-saturated environment. However, there are still several significant challenges that need to be tackled before we can realize this vision. In this study we aim at providing a small contribution in this direction, by maximizing the usefulness of the already available information resources. One of the most detailed and geographically relevant information resources available for studying cities is the census, more specifically, the data available at block level. In this study we use self-organizing maps (SOM) to explore the block level data included in the 2001 and 2011 Portuguese censuses for the city of Lisbon. We focus on measuring change, proposing new ways to compare the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at providing a twofold portrait: showing how Lisbon evolved during the first decade of the twenty-first century and how both the census dataset and the SOMs can be used to produce an informational framework for micro analysis of urban contexts.

AB - The interest in using information to improve the quality of living in large urban areas and the efficiency of its governance has been around for decades. Nevertheless, recent developments in information and communications technology have sparked new ideas in academic research, all of which are usually grouped under the umbrella term of Smart Cities. The concept of Smart City can be defined as cities that are lived, managed and developed in an information-saturated environment. However, there are still several significant challenges that need to be tackled before we can realize this vision. In this study we aim at providing a small contribution in this direction, by maximizing the usefulness of the already available information resources. One of the most detailed and geographically relevant information resources available for studying cities is the census, more specifically, the data available at block level. In this study we use self-organizing maps (SOM) to explore the block level data included in the 2001 and 2011 Portuguese censuses for the city of Lisbon. We focus on measuring change, proposing new ways to compare the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at providing a twofold portrait: showing how Lisbon evolved during the first decade of the twenty-first century and how both the census dataset and the SOMs can be used to produce an informational framework for micro analysis of urban contexts.

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KW - Clustering Geo-demographics

KW - Census data

KW - Smart cities

U2 - 10.1007/978-3-319-52522-8_4

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M3 - Chapter

SN - 978-3-319-52520-4

T3 - Geotechnologies and the Environment

SP - 59

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Bação FJFL, Henriques R, Antunes J. Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon. In Behnisch M, Meinel G, editors, Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies. Springer. 2018. p. 59-73. Chapter 4. (Geotechnologies and the Environment). https://doi.org/10.1007/978-3-319-52522-8_4