IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v50y2023i4p942-957.html

Measuring the local complementarity of population, amenities and digital activities to identify and understand urban areas of interest

Author

Listed:
  • Eduardo Graells-Garrido
  • Rossano Schifanella
  • Daniela Opitz
  • Francisco Rowe

Abstract

Identifying and understanding areas of interest are essential for urban planning. These areas are normally defined from static features of the resident population and urban amenities. Research has emphasised the importance of human mobility activity to capture the changing nature of these areas throughout the day, and the use of digital applications to reflect the increasing integration between material and online activities. Drawing on mobile phone data, this paper develops a novel approach to identify areas of interest based on the degree of complementarity of digital activities, available amenities and population levels. As a case study, we focus on the largest urban agglomeration of Chile, Santiago, where we identify three distinctive groups of areas: those concentrating (1) high availability of amenities; (2) high diversity of amenities and digital activities; and (3) areas lacking amenities, yet, presenting high usage of digital leisure and mobility applications. These findings identify areas where digital activities and local amenities play a complementary role in association with local population levels, and provide data-driven insights into the structure of material and digital activities in urban spaces that may characterise large Latin American cities.

Suggested Citation

  • Eduardo Graells-Garrido & Rossano Schifanella & Daniela Opitz & Francisco Rowe, 2023. "Measuring the local complementarity of population, amenities and digital activities to identify and understand urban areas of interest," Environment and Planning B, , vol. 50(4), pages 942-957, May.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:4:p:942-957
    DOI: 10.1177/23998083221117830
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083221117830
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083221117830?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    2. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    3. Meixu Chen & Dani Arribas-Bel & Alex Singleton, 2019. "Understanding the dynamics of urban areas of interest through volunteered geographic information," Journal of Geographical Systems, Springer, vol. 21(1), pages 89-109, March.
    4. Gonzalo Suazo-Vecino & Juan Carlos Muñoz & Luis Fuentes Arce, 2019. "The Displacement of Santiago de Chile’s Downtown during 1990–2015: Travel Time Effects on Eradicated Population," Sustainability, MDPI, vol. 12(1), pages 1-14, December.
    5. repec:plo:pone00:0097010 is not listed on IDEAS
    6. Cavanaugh, Joseph E., 1997. "Unifying the derivations for the Akaike and corrected Akaike information criteria," Statistics & Probability Letters, Elsevier, vol. 33(2), pages 201-208, April.
    7. Ren, Fang & Kwan, Mei-Po, 2009. "The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models," Journal of Transport Geography, Elsevier, vol. 17(6), pages 440-450.
    8. Liming Zhang & Dieter Pfoser, 2019. "Using OpenStreetMap point-of-interest data to model urban change—A feasibility study," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-34, February.
    9. Tomás Cox & Ricardo Hurtubia, 2021. "Latent Segmentation of Urban Space through Residential Location Choice," Networks and Spatial Economics, Springer, vol. 21(1), pages 199-228, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabrice Gilles & Sabina Issehnane & Florent Sari, 2022. "Using short-term jobs as a way to find a regular job. What kind of role for local context?," TEPP Working Paper 2022-07, TEPP.
    2. Laila Touhami Morghem & Khawlah Ali Abdalla Spetan, 2020. "Determinants of International Migration: An Applied Study on Selected Arab Countries (1995-2017)," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 6-19.
    3. Kapeliushnikov, Rostislav & Kuznetsov, Andrei & Demina, Natalia & Kuznetsova, Olga, 2013. "Threats to security of property rights in a transition economy: An empirical perspective," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 245-264.
    4. Jinhyun Hong & David Philip McArthur & Mark Livingston, 2019. "Can Accessing the Internet while Travelling Encourage Commuters to Use Public Transport Regardless of Their Attitude?," Sustainability, MDPI, vol. 11(12), pages 1-10, June.
    5. Le, Huyen T.K. & Buehler, Ralph & Fan, Yingling & Hankey, Steve, 2020. "Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time," Journal of Transport Geography, Elsevier, vol. 84(C).
    6. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    7. Chen, Jie & Shaw, Shih-Lung & Yu, Hongbo & Lu, Feng & Chai, Yanwei & Jia, Qinglei, 2011. "Exploratory data analysis of activity diary data: a space–time GIS approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 394-404.
    8. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    9. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    10. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    11. Marullo, Cristina & Ahn, Joon Mo, 2024. "Knowledge tensions and decision-making challenges in open innovation: Standardization as a de-biasing mechanism," Technovation, Elsevier, vol. 136(C).
    12. Christian Gouriéroux & Alain Monfort, 1997. "Modèles de comptage semi-paramétriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 525-550.
    13. Gil Solá, Ana, 2016. "Constructing work travel inequalities: The role of household gender contracts," Journal of Transport Geography, Elsevier, vol. 53(C), pages 32-40.
    14. K. Willis & J. Snowball & C. Wymer & José Grisolía, 2012. "A count data travel cost model of theatre demand using aggregate theatre booking data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 91-112, May.
    15. Aguiléra, Anne & Guillot, Caroline & Rallet, Alain, 2012. "Mobile ICTs and physical mobility: Review and research agenda," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 664-672.
    16. Clifton, Geoffrey T. & Mulley, Corinne, 2016. "A historical overview of enhanced bus services in Australian cities: What has been tried, what has worked?," Research in Transportation Economics, Elsevier, vol. 59(C), pages 11-25.
    17. Jeffrey Englin & Klaus Moeltner, 2004. "The Value of Snowfall to Skiers and Boarders," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(1), pages 123-136, September.
    18. Pardesi, Mantej, 2024. "Productivity convergence and firm’s training strategy," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    19. Ang, James B. & Gupta, Satyendra Kumar, 2018. "Agricultural yield and conflict," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 397-417.
    20. Evgeniy Kutsenko & Sabyasachi Tripathi & Kirill Tyurchev, 2023. "Does complementarity matter for the emergence of new specialization industries in the regions of Russia?," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(9), pages 2126-2155, December.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:50:y:2023:i:4:p:942-957. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.