TY - GEN
T1 - Measuring the Quality of Life in “La Condesa”
T2 - ICSOC 2019: International Conference on Service-Oriented Computing
AU - Castillo-Camporro, Ana Sagrario
AU - Zechinelli-Martini, José Luis
AU - Espinosa-Oviedo, Javier A.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85084842183
U2 - 10.1007/978-3-030-45989-5_17
DO - 10.1007/978-3-030-45989-5_17
M3 - Conference contribution
AN - SCOPUS:85084842183
SN - 978-3-030-45988-8
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 213
EP - 223
BT - Service-Oriented Computing – ICSOC 2019 Workshops
A2 - Yangui, Sami
A2 - Bouguettaya, Athman
A2 - Xue, Xiao
A2 - Faci, Noura
A2 - Gaaloul, Walid
A2 - Yu, Qi
A2 - Zhou, Zhangbing
A2 - Hernandez, Nathalie
A2 - Nakagawa, Elisa Y.
PB - Springer
CY - Cham, Switzerland
Y2 - 28 October 2019 through 31 October 2019
ER -