Skip to main content

Socio-spatial Segregation Using Computational Algorithms: Case Study in Ambato, Ecuador

  • Conference paper
  • First Online:
Trends in Artificial Intelligence and Computer Engineering (ICAETT 2022)

Abstract

Access to basic services, housing, and social security influence people’s quality of life. Within the cities, it is common for there to be specific sectors where the presence of those groups that have an abundance of resources predominates. The same occurs with the opposite group, motivated by various social and economic conditions. For this reason, this study explicitly considers the population of Ambato, Ecuador, to evaluate the existence of socio-spatial segregation. The data are obtained from the latest census base of 2010, which is publicly accessible by the Institute of Statistics and Census. The socioeconomic characterization of the population consists of the calculation of the condition index. A programming algorithm developed in the statistical software RStudio has been used to process the information. With the calculations obtained, we proceeded to generate geographic maps where the location of the different social groups could be seen. The results show that the values 0.77 and 0.90 predominate in the city’s west. Also, we identify that only the fourth quartile achieves well-being and an abundance of resources, while those in the first quartile are well below the average. The information describes a very low and positive spatial autocorrelation, where most of the population is concentrated in the city’s southwest. Thus, this proposal, which combines computational algorithms for the exposition of social and spatial characteristics of a specific population, is validated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Figueroa, A.R., Robles, M.S., Downey, F.S., Quiero, G.C., Trebilcock, M.P.: From segregation to residential exclusion Where are the new poor households (2000–2017) in the city of Santiago, Chile? (2021). https://doi.org/10.5354/0717-5051.2021.55948

  2. Cortese, C.F., Falk, R.F., Cohen, J.K.: Further considerations on the methodological analysis of segregation indices. Am. Sociol. Rev. 41, 630 (1976). https://doi.org/10.2307/2094840

    Article  Google Scholar 

  3. Massey, D.S., Denton, N.A.: The dimensions of residential segregation. Soc. Forces. 67, 281–315 (1988). https://doi.org/10.1093/sf/67.2.281

    Article  Google Scholar 

  4. Buzai, G., Baxendale, C., Rodríguez, L., Escanes, V.: Distribución y segregación espacial de los extranjeros en la ciudad de Luján. Un análisis desde la Geografía Cuantitativa. Signos Univ. 29–52 (2003)

    Google Scholar 

  5. Schteingart, M.: La división social del espacio en las ciudades. Perfiles Latinoam. 19, 13–31 (2001)

    Google Scholar 

  6. Bourdieu, P.: Distinction: a social critique of the judgement of taste. In: Inequality: Classic Readings in Race, Class, and Gender, pp. 287–318. Londres, Routledge (2018). https://doi.org/10.4324/9781315680347-10

  7. Saraví, G.A.: Nuevas realidades y nuevos enfoques: exclusión social en América Latina. In: Prometeo Libros (ed.) De la pobreza a la exclusión: continuidades y rupturas de la cuestión social en América Latina, pp. 19–52 (2006)

    Google Scholar 

  8. Orellana, D., Osorio, P.: Segregación socio-espacial urbana en Cuenca. Ecuador. Rev. Análisis Estadístico Analítika. 8, 27–38 (2014)

    Google Scholar 

  9. Préteceille, E.: Ségrégation, classes et politique dans la grande ville. In: Villes en Europe, pp. 99–127. París (1997)

    Google Scholar 

  10. Gallissot, R., Moulin, B.: Les quartiers de la ségrégation: Tiers Monde ou Quart Monde? París (1995)

    Google Scholar 

  11. Ghazaie, M., Rafieian, M., Dadashpoor, H.: Exploring the socio-spatial patterns of diversity and its influencing factors at a metropolitan scale. J. Urban. 13, 325–356 (2020). https://doi.org/10.1080/17549175.2019.1677263

    Article  Google Scholar 

  12. Forouhar, A., Zamani, B., Rafieian, M.: Socio-spatial transformation of neighbourhoods around rail transit stations: an experience from Tehran. Iran. Bull. Geogr. Socio-econ. Ser. 55, 7–15 (2022). https://doi.org/10.12775/bgss-2022-0001

    Article  Google Scholar 

  13. Ishak, R.A., Trisutomo, S., Wikantari, R., Harisah, A.: Socio-spatial relation in small island (case study: Karanrang island, South Sulawesi, Indonesia). Civ. Eng. Archit. 9, 2326–2337 (2021). https://doi.org/10.13189/cea.2021.090720

    Article  Google Scholar 

  14. López, C.F.R., Méndez-Lemus, Y.M., Medrano, J.A.V.: Methodological approach to analyze social-spatial segregation in the peri-urban areas of Mexican intermediary cities. Estud. Geogr. 82, 60 (2021). https://doi.org/10.3989/ESTGEOGR.202072.072

    Article  Google Scholar 

  15. Campos-Alanís, J., Ramírez-Sánchez, L.G., Garrocho, C.: Inclusion of the spatial variable in the measurement of relative living conditions in Mexican Cities. Papeles Poblac. 26, 53–88 (2020). https://doi.org/10.22185/24487147.2020.103.03

    Article  Google Scholar 

  16. Henao, J.M.M., Véliz, J.O.: Segregation and inequality in the access to education, culture, and recreation services in Bogotá. Colombia. Cuad. Geogr. Rev. Colomb. Geogr. 29, 171–189 (2020). https://doi.org/10.15446/rcdg.v29n1.73395

    Article  Google Scholar 

  17. García-Magariño, I., Gonzalez Bedia, M., Palacios-Navarro, G.: FAMAP: a framework for developing m-health apps. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds.) WorldCIST’18 2018. AISC, vol. 745, pp. 850–859. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77703-0_83

    Chapter  Google Scholar 

  18. Salazar, F.W., et al.: Prototype system of geolocation educational public transport through Google maps API. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12254, pp. 367–382. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58817-5_28

    Chapter  Google Scholar 

  19. Torres-Oñate, F., Viteri, M.F., Infante-Paredes, R., Donato-Moreira, S., Tamayo-Soria, R., Núñez-Espinoza, M.: Heritage cooking as tourist motivation: ambato case study. In: Stankov, U., Boemi, S.-N., Attia, S., Kostopoulou, S., Mohareb, N. (eds.) Cultural Sustainable Tourism. ASTI, pp. 109–114. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-10804-5_11

    Chapter  Google Scholar 

  20. Ghazaie, M., Rafieian, M., Dadashpoor, H.: Making the invisible segregation of diverse neighbourhoods visible. J. Hous. Built Environ. 37, 459–482 (2022). https://doi.org/10.1007/s10901-021-09850-z

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jorge Buele .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ayala-Chauvin, M., Maigua, P., Medina-Enríquez, A., Buele, J. (2023). Socio-spatial Segregation Using Computational Algorithms: Case Study in Ambato, Ecuador. In: Botto-Tobar, M., Gómez, O.S., Rosero Miranda, R., Díaz Cadena, A., Luna-Encalada, W. (eds) Trends in Artificial Intelligence and Computer Engineering. ICAETT 2022. Lecture Notes in Networks and Systems, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-031-25942-5_6

Download citation

Publish with us

Policies and ethics