Measuring the Quality of Life in “La Condesa”: Activating Mexico City Neighbourhood Economy While Maximising Well-Being

Ana Sagrario Castillo-Camporro, José Luis Zechinelli-Martini*, Javier A. Espinosa-Oviedo

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


Mexico City government has promoted central and historical areas by applying public policies intended to activate their economy. This is the case of the neighbourhood “La Condesa” located 4 km. from the Historical Downtown Area of Mexico City. Yet, beyond activating the economy, promoting massive tourism, leisure activities and business life, these policies have had questionable social implications. For example, valuing spaces for the benefit of the real estate investors that do not live in the areas and that promote non-permanent lodging; franchises that do not promote authentic services and products. Thus, it seems that the growth in economy with this approach is not compatible with human development, with the cultural benefit and the conservation of the green areas of the territory. This paper presents our approach for computing the index of quality of life considering quantitative and qualitative measures seeking to maximise a holistic return of investment. Our notion of return of investment is holistic because it considers both quantitative and qualitative variables calibrated to find and “optimum” of economic and well-being benefit. Our proposal combines different data collections provided by the Mexican National Institute of Statistics and Geography (INEGI) that feed a novel mathematical model proposed for computing determining the elasticity of the index of quality of life. Given the volume of data sets about Mexico City and its inhabitants it has been necessary to use adapted computational methods to model urban phenomena happening in the area “La Condesa” in Mexico City. We have applied data analytics computational techniques based on mathematical methods, statistics and knowledge discovery to find patterns within data sets that represent the behaviour of quality of life as a social phenomenon measure.

Original languageEnglish
Title of host publicationService-Oriented Computing – ICSOC 2019 Workshops
Subtitle of host publicationWESOACS, ASOCA, ISYCC, TBCE, and STRAPS, Revised Selected Papers
EditorsSami Yangui, Athman Bouguettaya, Xiao Xue, Noura Faci, Walid Gaaloul, Qi Yu, Zhangbing Zhou, Nathalie Hernandez, Elisa Y. Nakagawa
Place of PublicationCham, Switzerland
Number of pages11
ISBN (Electronic)978-3-030-45989-5
ISBN (Print)978-3-030-45988-8
Publication statusPublished - 2020
EventICSOC 2019: International Conference on Service-Oriented Computing - Toulouse, France
Duration: 28 Oct 201931 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12019 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceICSOC 2019: International Conference on Service-Oriented Computing


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