IDEAS home Printed from https://ideas.repec.org/a/cog/socinc/v10y2022i3p221-232.html
   My bibliography  Save this article

Characteristics of Jetters and Little Boxes: An Extensibility Study Using the Neighborhood Connectivity Survey

Author

Listed:
  • Xiaofan Liang

    (Georgia Institute of Technology)

  • Seolha Lee

    (Department of Informatics, University of California – Irvine, USA)

  • Hanzhou Chen

    (Department of Geography, Pennsylvania State University, USA)

  • Benjamin de la Peña

    (Shared‐Use Mobility Center, USA)

  • Clio Andris

    (School of City and Regional Planning, Georgia Institute of Technology, USA / School of Interactive Computing, Georgia Institute of Technology, USA)

Abstract

Individuals connect to sets of places through travel, migration, telecommunications, and social interactions. This set of multiplex network connections comprises an individual’s “extensibility,” a human geography term that qualifies one’s geographic reach as locally‐focused or globally extensible. Here we ask: Are there clear signals of global vs. local extensibility? If so, what demographic and social life factors correlate with each type of pattern? To answer these questions, we use data from the Neighborhood Connectivity Survey conducted in Akron, Ohio, State College, Pennsylvania, and Philadelphia, Pennsylvania (global sample N = 950; in model n = 903). Based on the location of a variety of connections (travel, phone call patterns, locations of family, migration, etc.), we found that individuals fell into one of four different typologies: (a) hyperlocal, (b) metropolitan, (c) mixed‐many, and (d) regional‐few. We tested whether individuals in each typology had different levels of local social support and different sociodemographic characteristics. We found that respondents who are white, married, and have higher educational attainment are significantly associated with more connections to a wider variety of places (more global connections), while respondents who are Black/African American, single, and with a high school level educational attainment (or lower) have more local social and spatial ties. Accordingly, the “urban poor” may be limited in their ability to interact with a variety of places (yielding a wide set of geographic experiences and influences), suggesting that wide extensibility may be a mark of privileged circumstances and heightened agency.

Suggested Citation

  • Xiaofan Liang & Seolha Lee & Hanzhou Chen & Benjamin de la Peña & Clio Andris, 2022. "Characteristics of Jetters and Little Boxes: An Extensibility Study Using the Neighborhood Connectivity Survey," Social Inclusion, Cogitatio Press, vol. 10(3), pages 221-232.
  • Handle: RePEc:cog:socinc:v10:y:2022:i:3:p:221-232
    DOI: 10.17645/si.v10i3.5366
    as

    Download full text from publisher

    File URL: https://www.cogitatiopress.com/socialinclusion/article/view/5366
    Download Restriction: no

    File URL: https://libkey.io/10.17645/si.v10i3.5366?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. Miguel Picornell & Tomás Ruiz & Maxime Lenormand & José Ramasco & Thibaut Dubernet & Enrique Frías-Martínez, 2015. "Exploring the potential of phone call data to characterize the relationship between social network and travel behavior," Transportation, Springer, vol. 42(4), pages 647-668, July.
    2. Timothy Prestby & Joseph App & Yuhao Kang & Song Gao, 2020. "Understanding neighborhood isolation through spatial interaction network analysis using location big data," Environment and Planning A, , vol. 52(6), pages 1027-1031, September.
    3. J. Illenberger & M. Kowald & K. Axhausen & K. Nagel, 2011. "Insights into a spatially embedded social network from a large-scale snowball sample," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 84(4), pages 549-561, December.
    4. Chen, Qingqing & Chuang, I-Ting & Poorthuis, Ate, 2021. "Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore," SocArXiv b2y75, Center for Open Science.
    5. repec:osf:socarx:b2y75_v1 is not listed on IDEAS
    6. Kowald, Matthias & van den Berg, Pauline & Frei, Andreas & Carrasco, Juan-Antonio & Arentze, Theo & Axhausen, Kay & Mok, Diana & Timmermans, Harry & Wellman, Barry, 2013. "Distance patterns of personal networks in four countries: a comparative study," Journal of Transport Geography, Elsevier, vol. 31(C), pages 236-248.
    7. Mario Luis Small, 2007. "Racial Differences in Networks: Do Neighborhood Conditions Matter?," Social Science Quarterly, Southwestern Social Science Association, vol. 88(2), pages 320-343, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gil Viry & Christoph van Dülmen & Marion Maisonobe & Andreas Klärner, 2022. "On the Role of Space, Place, and Social Networks in Social Participation," Social Inclusion, Cogitatio Press, vol. 10(3), pages 217-220.

    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. Xiaofan Liang & Seolha Lee & Hanzhou Chen & Benjamin de la Peña & Clio Andris, 2022. "Characteristics of Jetters and Little Boxes: An Extensibility Study Using the Neighborhood Connectivity Survey," Social Inclusion, Cogitatio Press, vol. 10(3), pages 221-232.
    2. van den Berg, Pauline & Weijs-Perrée, Minou & Arentze, Theo, 2018. "Dynamics in social activity-travel patterns: Analyzing the role of life-cycle events and path dependence in face-to-face and ICT-mediated social interactions," Research in Transportation Economics, Elsevier, vol. 68(C), pages 29-37.
    3. Shi, Shuyang & Wang, Lin & Wang, Xiaofan, 2022. "Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    4. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    5. Han, Chenglin & Luo, Lichen & Parady, Giancarlos & Takami, Kiyoshi & Chikaraishi, Makoto & Harata, Noboru, 2023. "Modeling joint eating-out destination choices incorporating group-level impedance: A case study of the Greater Tokyo Area," Journal of Transport Geography, Elsevier, vol. 111(C).
    6. Eszter Bokányi & Zsófia Kallus & István Gódor, 2021. "Collective sensing of evolving urban structures: From activity-based to content-aware social monitoring," Environment and Planning B, , vol. 48(1), pages 115-131, January.
    7. Niki Dickerson Lockette & William E. Spriggs, 2016. "Wage Dynamics and Racial and Ethnic Occupational Segregation Among Less-Educated Men in Metropolitan Labor Markets," The Review of Black Political Economy, Springer;National Economic Association, vol. 43(1), pages 35-56, March.
    8. Keumseok Koh & Michelle L. Kaiser & Glennon Sweeney & Karima Samadi & Ayaz Hyder, 2020. "Explaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder–Oaxaca Decomposition Analysis," IJERPH, MDPI, vol. 17(15), pages 1-15, July.
    9. Pauline Berg & Theo Arentze & Harry Timmermans, 2015. "A multilevel analysis of factors influencing local social interaction," Transportation, Springer, vol. 42(5), pages 807-826, September.
    10. Hong, Seunghye & Zhang, Wei & Walton, Emily, 2014. "Neighborhoods and mental health: Exploring ethnic density, poverty, and social cohesion among Asian Americans and Latinos," Social Science & Medicine, Elsevier, vol. 111(C), pages 117-124.
    11. Arentze, Theo A., 2015. "Individuals' social preferences in joint activity location choice: A negotiation model and empirical evidence," Journal of Transport Geography, Elsevier, vol. 48(C), pages 76-84.
    12. van den Berg, Pauline & Sharmeen, Fariya & Weijs-Perrée, Minou, 2017. "On the subjective quality of social Interactions: Influence of neighborhood walkability, social cohesion and mobility choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 309-319.
    13. Yahya Shadi & Mohammad Hassan Lotfi & Saharnaz Nedjat & Mostafa Amini Rarani & Esmaeil Khedmati Morasae, 2018. "Explaining Unequal Levels of Social Capital in Tehran," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 243-265, November.
    14. Frank Goetzke & Regine Gerike & Antonio Páez & Elenna Dugundji, 2015. "Social interactions in transportation: analyzing groups and spatial networks," Transportation, Springer, vol. 42(5), pages 723-731, September.
    15. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio, 2017. "Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 1-20.
    16. Parady, Giancarlos & Frei, Andreas & Kowald, Matthias & Guidon, Sergio & Wicki, Michael & van den Berg, Pauline & Carrasco, Juan-Antonio & Arentze, Theo & Timmermans, Harry & Wellman, Barry & Takami, , 2021. "A comparative study of social interaction frequencies among social network members in five countries," Journal of Transport Geography, Elsevier, vol. 90(C).
    17. Stefano Guarino & Enrico Mastrostefano & Massimo Bernaschi & Alessandro Celestini & Marco Cianfriglia & Davide Torre & Lena Rebecca Zastrow, 2021. "Inferring Urban Social Networks from Publicly Available Data," Future Internet, MDPI, vol. 13(5), pages 1-45, April.
    18. Till Baldenius & Nicolas Koch & Hannah Klauber & Nadja Klein, 2023. "Heat increases experienced racial segregation in the United States," Papers 2306.13772, arXiv.org.
    19. Václav Plevka & Pieter Segaert & Chris M. J. Tampère & Mia Hubert, 2016. "Analysis of travel activity determinants using robust statistics," Transportation, Springer, vol. 43(6), pages 979-996, November.
    20. Noli Brazil, 2019. "Hispanic neighbourhood satisfaction in new and established metropolitan destinations," Urban Studies, Urban Studies Journal Limited, vol. 56(14), pages 2953-2976, November.

    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:cog:socinc:v10:y:2022:i:3:p:221-232. 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: António Vieira or IT Department (email available below). General contact details of provider: https://www.cogitatiopress.com .

    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.