Skip to main content
Log in

Redefining Neighborhoods Using Common Destinations: Social Characteristics of Activity Spaces and Home Census Tracts Compared

  • Published:
Demography

Abstract

Research on neighborhood effects has focused largely on residential neighborhoods, but people are exposed to many other places in the course of their daily lives—at school, at work, when shopping, and so on. Thus, studies of residential neighborhoods consider only a subset of the social-spatial environment affecting individuals. In this article, we examine the characteristics of adults’ “activity spaces”—spaces defined by locations that individuals visit regularly—in Los Angeles County, California. Using geographic information system (GIS) methods, we define activity spaces in two ways and estimate their socioeconomic characteristics. Our research has two goals. First, we determine whether residential neighborhoods represent the social conditions to which adults are exposed in the course of their regular activities. Second, we evaluate whether particular groups are exposed to a broader or narrower range of social contexts in the course of their daily activities. We find that activity spaces are substantially more heterogeneous in terms of key social characteristics, compared to residential neighborhoods. However, the characteristics of both home neighborhoods and activity spaces are closely associated with individual characteristics. Our results suggest that most people experience substantial segregation across the range of spaces in their daily lives, not just at home.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Because people might reasonably travel a small distance beyond their destinations—for example, to go to lunch while at work—we also tested versions in which we added a buffer area of one-half or one-quarter mile around the minimum convex polygons. These buffers substantially increased the number of census tracts that were included but had very little influence on the average and range of characteristics.

  2. Although one could include only the portion of the tracts that fall inside the polygons, this approach requires the assumption that population is evenly distributed within the tracts, which is not the case, particularly in rural tracts. Sensitivity testing reveals that eliminating tract portions that are outside the polygons has very little effect on the average or range of social characteristics reported here.

  3. In calculating geographic areas, we used the coordinate system 1983 US State Plane California VI. We used the TIGER/Line map of 2000 census tracts provided by the U.S. Census Bureau (2000b).

  4. Information on SPAs is available online (http://publichealth.lacounty.gov/chs/SPAMain/ServicePlanningAreas.htm).

  5. Because we use census tracts to define nodes and because tract size is determined by population density, the total area of the nodes is highly dependent on the population density of the nodes. Therefore, a similar analysis of node total size is not informative.

  6. To produce the figures, the predicted values of each outcome variable were calculated using the regression coefficients (shown in Table 5 and Online Resource 1, Table S1) and the means of independent variables, except for the independent variable under consideration, which is set at a specified value. For example, to calculate the percentage Latino in the activity spaces of African American respondents, all x-variables were set at their sample means except for the dummy variable for African American race/ethnicity, which was set to 1. For all predictions besides those for race/ethnicity, race/ethnicity was set to Latino (so the predicted values are for a Latino individual).

References

  • Acevedo-Garcia, D. (2000). Residential segregation and the epidemiology of infectious diseases. Social Science & Medicine, 51, 1143–1161.

    Article  Google Scholar 

  • Acevedo-Garcia, D., Osypuk, T. L., McArdle, N., & Williams, D. R. (2008). Toward a policy-relevant analysis of geographic and racial/ethnic disparities in child health. Health Affairs, 27, 321–333.

    Article  Google Scholar 

  • Aneshensel, C. S., & Sucoff, C. A. (1996). The neighborhood context of adolescent mental health. Journal of Health and Social Behavior, 37, 293–310.

    Article  Google Scholar 

  • Beyer, H. L. (2011). Spatial ecology: Geospatial modeling environment 0.5.5 Beta. Retrieved from http://www.spatialecology.com

  • Boardman, J. D., Finch, B. K., Ellison, C. G., Williams, D. R., & Jackson, J. S. (2001). Neighborhood disadvantage, stress, and drug use among adults. Journal of Health and Social Behavior, 42, 151–165.

    Article  Google Scholar 

  • Braveman, P. A., Cubbin, C., Egerter, S., Williams, D. R., & Pamuk, E. (2010). Socioeconomic disparities in health in the United States: What the patterns tell us. American Journal of Public Health, 100(Suppl. 1), S186–S196.

    Article  Google Scholar 

  • Buliung, R. N., & Kanaroglou, P. S. (2006a). A GIS toolkit for exploring geographies of household activity/travel behavior. Journal of Transport Geography, 14, 35–51.

    Article  Google Scholar 

  • Buliung, R. N., & Kanaroglou, P. S. (2006b). Urban form and household activity-travel behavior. Growth and Change, 37, 172–199.

    Article  Google Scholar 

  • Burdick-Will, J., Ludwig, J., Raudenbush, S., Sampson, R. J., Sanbonmatsu, L., & Sharkey, P. (2011). Converging evidence for neighborhood effects on children’s test scores: An experimental, quasi-experimental, and observational comparison. In G. J. Duncan & R. Murnane (Eds.), Whither opportunity? Rising inequality, schools, and children's life chances (pp. 255–276). New York, NY: Russell Sage.

    Google Scholar 

  • Chaskin, R. J., & Joseph, M. L. (2011). Social interaction in mixed-income developments: Relational expectations and emerging reality. Journal of Urban Affairs, 33, 209–237.

    Article  Google Scholar 

  • Cho, W. K. T., Gimpel, J. G., & Dyck, J. J. (2006). Residential concentration, political socialization, and voter turnout. Journal of Politics, 68, 156–167.

    Google Scholar 

  • Clampet-Lundquist, S., & Massey, D. S. (2008). Neighborhood effects on economic self-sufficiency: A reconsideration of the moving to opportunity experiment. American Journal of Sociology, 114, 107–143.

    Article  Google Scholar 

  • Covington, K. L. (2009). Spatial mismatch of the poor: An explanation of recent declines in job isolation. Journal of Urban Affairs, 31, 559–587.

    Article  Google Scholar 

  • Crowder, K., & South, S. J. (2011). Spatial and temporal dimensions of neighborhood effects on high school graduation. Social Science Research, 40, 87–106.

    Article  Google Scholar 

  • DiPrete, T. A., Gelman, A., McCormick, T., Teitler, J., & Zheng, T. (2011). Segregation in social networks based on acquaintanceship and trust. American Journal of Sociology, 116, 1234–1283.

    Article  Google Scholar 

  • Ellis, M., Wright, R., & Parks, V. (2004). Work together, live apart? Geographies of racial and ethnic segregation at home and at work. Annals of the Association of American Geographers, 94, 620–637.

    Article  Google Scholar 

  • Ellison, C. G., Shin, H., & Leal, D. L. (2011). The contact hypothesis and attitudes toward Latinos in the United States. Social Science Quarterly, 92, 938–958.

    Article  Google Scholar 

  • Entwisle, B. (2007). Putting people into place. Demography, 44, 687–703.

    Article  Google Scholar 

  • ESRI (Environmental Systems Resource Institute). (2011). ArcMap 10.0. Redlands, CA: ESRI.

    Google Scholar 

  • Fauth, R. C., Leventhal, T., & Brooks-Gunn, J. (2007). Welcome to the neighborhood? Long-term impacts of moving to low-poverty neighborhoods on poor children’s and adolescents’ outcomes. Journal of Research on Adolescence, 17, 249–284.

    Article  Google Scholar 

  • Frey, W. H. (2012). New racial segregation measures for large metropolitan areas: Analysis of the 1990–2010 decennial censuses. Retrieved from http://www.psc.isr.umich.edu/dis/census/segregation2010.html

  • Hägerstrand, T. (1967). Innovation diffusion as a spatial process. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Horton, F. E., & Reynolds, D. R. (1971). Effects of urban spatial structure on individual behavior. Economic Geography, 47, 36–48.

    Article  Google Scholar 

  • Huckfeldt, R. R. (1979). Political participation and the neighborhood social context. American Journal of Political Science, 23, 579–592.

    Article  Google Scholar 

  • Huckfeldt, R. R. (1983). Social contexts, social networks, and urban neighborhoods: Environmental constraints on friendship choice. American Journal of Sociology, 89, 651–669.

    Article  Google Scholar 

  • Inagami, S., Cohen, D. A., & Finch, B. K. (2007). Non-residential neighborhood exposures suppress neighborhood effects on self-rated health. Social Science & Medicine, 65, 1779–1791.

    Article  Google Scholar 

  • Ioannides, Y. M., & Topa, G. (2010). Neighborhood effects: Accomplishments and looking beyond them. Journal of Regional Science, 50, 343–362.

    Article  Google Scholar 

  • Jargowsky, P. A. (2003). Stunning progress, hidden problems: The dramatic decline of concentrated poverty in the 1990s. In B. Katz, R. Lang, & A. Berube (Eds.), Redefining urban and suburban America: Evidence from Census 2000 (Vol. 1). Washington, DC: Brookings Institution.

    Google Scholar 

  • Jones, M. (2012). Accumulating neighborhood stress exposure: Effects on hypertension, obesity, and depression (Unpublished doctoral dissertation). University of California, Los Angeles.

  • Jones, M., Pebley, A. R., & Sastry, N. (2011). Eyes on the block: Measuring urban physical disorder through in-person observation. Social Science Research, 40, 523–537.

    Article  Google Scholar 

  • Joseph, M. L., Chaskin, R. J., & Webber, H. S. (2007). The theoretical basis for addressing poverty through mixed-income development. Urban Affairs Review, 42, 369–409.

    Article  Google Scholar 

  • Kestens, Y., Lebel, A., Daniels, M., Thériault, M., & Pampalon, R. (2010). Using experienced activity spaces to measure foodscape exposure. Health & Place, 16, 1094–1103.

    Article  Google Scholar 

  • Kohen, D. E., Leventhal, T., Dahinten, V. S., & McIntosh, C. N. (2008). Neighborhood disadvantage: Pathways of effects for young children. Child Development, 79, 156–169.

    Article  Google Scholar 

  • Kwan, M. P. (1999). Gender and individual access to urban opportunities: A study using space-time measures. Professional Geographer, 51, 210–227.

    Article  Google Scholar 

  • Kwan, M. P. (2012). The uncertain geographic context problem. Annals of the Association of American Geographers, 102, 958–968.

    Article  Google Scholar 

  • Lee, B. A., Farrell, C. R., & Link, B. C. (2004). Revisiting the contact hypothesis: The case of public exposure to homelessness. American Sociological Review, 69, 40–63.

    Article  Google Scholar 

  • Leventhal, T., & Brooks-Gunn, J. (2000). The neighborhoods they live in: The effects of neighborhood residence on child and adolescent outcomes. Psychological Bulletin, 126, 309–337.

    Article  Google Scholar 

  • Liu, C. Y., & Painter, G. (2012). Immigrant settlement and employment suburbanisation in the US: Is there a spatial mismatch? Urban Studies, 49, 979–1002.

    Article  Google Scholar 

  • Matthews, S. A. (2011). Spatial polygamy and the heterogeneity of place: Studying people and place via egocentric methods. In L. M. Burton, S. P. Kemp, M. Leung, S. A. Matthews, & D. T. Takeuchi (Eds.), Communities, neighborhoods, and health: Expanding the boundaries of place (Vol. 1, pp. 35–55). New York, NY: Springer.

    Chapter  Google Scholar 

  • Matthews, S. A., Detwiler, J., & Burton, L. M. (2005). Geoethnography: Coupling geographic information analysis techniques with ethnographic methods in urban research. Cartographica, 40, 75–90.

    Article  Google Scholar 

  • McClurg, S. D. (2006). Political disagreement in context: The conditional effect of neighborhood context, disagreement and political talk on electoral participation. Political Behavior, 28, 349–366.

    Article  Google Scholar 

  • Newsome, T., Walcott, W., & Smith, P. D. (1998). Urban activity spaces: Illustrations and application of a conceptual model for integrating the time and space dimensions. Transportation, 25, 357–377.

    Article  Google Scholar 

  • Ong, P., Firestine, T., Pfeiffer, D., Poon, O., & Tran, L. (2008). The state of South LA (Report). Los Angeles, CA: UCLA School of Public Affairs.

  • Ong, P. M., & Miller, D. (2005). Spatial and transportation mismatch in Los Angeles. Journal of Planning Education and Research, 25, 43–56.

    Article  Google Scholar 

  • Palmer, J. (2012, May). Activity-space segregation: Understanding social divisions in space and time. Paper presented at the annual meetings of the Population Association of America, San Francisco, CA.

  • Palmer, J. R. B., Espenshade, T. J., Bartumeus, F., Chung, C. Y., Ozgencil, N. E., & Li, K. (2013). New approaches to human mobility: Using mobile phones for demographic research. Demography, 50, 1105–1128.

    Article  Google Scholar 

  • Pebley, A. R., & Sastry, N. (2004). Neighborhoods, poverty and children’s well-being. In K. Neckerman (Ed.), Social dimensions of inequality (pp. 119–146). New York, NY: Russell Sage.

    Google Scholar 

  • Pettigrew, T. F. (2008). Future directions for intergroup contact theory and research. International Journal of Intercultural Relations, 32, 187–199.

    Article  Google Scholar 

  • Pettigrew, T. F., & Tropp, L. R. (2008). How does intergroup contact reduce prejudice? Meta-analytic tests of three mediators. European Journal of Social Psychology, 38, 922–934.

    Article  Google Scholar 

  • Reardon, S. F., & Bischoff, K. (2011). Income inequality and income segregation. American Journal of Sociology, 116, 1092–1153.

    Article  Google Scholar 

  • Rocha, R. R., & Espino, R. (2010). Segregation, immigration, and Latino participation in ethnic politics. American Politics Research, 38, 614–635.

    Article  Google Scholar 

  • Ross, C. E. (2000). Neighborhood disadvantage and adult depression. Journal of Health and Social Behavior, 41, 177–187.

    Article  Google Scholar 

  • Ross, C. E., & Mirowsky, J. (2001). Neighborhood disadvantage, disorder, and health. Journal of Health and Social Behavior, 42, 258–276.

    Article  Google Scholar 

  • Sampson, R. J. (2011). Neighborhood effects, causal mechanisms, and the social structure of the city. In P. Demeulenaere (Ed.), Analytical sociology and social mechanisms (pp. 227–250). Cambridge, UK: Cambridge University Press.

    Chapter  Google Scholar 

  • Sampson, R. J. (2012). Great American city: Chicago and the enduring neighborhood effect. Chicago, IL: University of Chicago Press.

    Book  Google Scholar 

  • Sastry, N., Ghosh-Dastidar, B., Adams, J., & Pebley, A. R. (2006). The design of a multilevel survey of children, families, and communities: The Los Angeles Family and Neighborhood Survey. Social Science Research, 35, 1000–1024.

    Article  Google Scholar 

  • Sastry, N., & Pebley, A. R. (2003). Non-response in the Los Angeles Family and Neighborhood Survey (Labor and Population Working Papers, DRU-2400/7). Retrieved from http://www.rand.org/content/dam/rand/pubs/drafts/2006/DRU2400.7.pdf

  • Sastry, N., & Pebley, A. R. (2010). Family and neighborhood sources of socioeconomic inequality in children’s achievement. Demography, 47, 777–800.

    Article  Google Scholar 

  • Sastry, N., Pebley, A. R., & Zonta, M. (2002). Neighborhood definitions and the spatial dimension of daily life in Los Angeles (CCPR Working Paper 033-04). Los Angeles: California Center for Population Research, University of California–Los Angeles.

  • Schönfelder, S., & Axhausen, K. W. (2003). Activity spaces: Measures of social exclusion? Transport Policy, 10, 273–286.

    Article  Google Scholar 

  • Sherman, J. E., Spencer, J., Preisser, J. S., Gesler, W. M., & Arcury, T. A. (2005). A suite of methods for representing activity space in a healthcare accessibility study. International Journal of Health Geographics, 4, 24. doi:10.1186/1476-072X-4-24

    Article  Google Scholar 

  • StataCorp. (2011). Stata statistical software: Release 11. College Station, TX: StataCorp LP.

    Google Scholar 

  • Stoll, M. A. (1999). Spatial job search, spatial mismatch, and the employment and wages of racial and ethnic groups in Los Angeles. Journal of Urban Economics, 46, 129–155.

    Article  Google Scholar 

  • Stoll, M. A., & Covington, K. (2012). Explaining racial/ethnic gaps in spatial mismatch in the US: The primacy of racial segregation. Urban Studies, 49, 2501–2521.

    Article  Google Scholar 

  • Tropp, L. R., & Pettigrew, T. F. (2005). Relationships between intergroup contact and prejudice among minority and majority status groups. Psychological Science, 16, 951–957.

    Article  Google Scholar 

  • U.S. Census Bureau. (2000a). 2000 decennial census, summary file 3. Retrieved from http://www.census.gov/

  • U.S. Census Bureau. (2000b). Census TIGER/Line data. Retrieved from http://arcdata.esri.com/data/tiger2000/tiger_download.cfm

  • Vallee, J., Cadot, E., Grillo, F., Parizot, I., & Chauvin, P. (2010). The combined effects of activity space and neighbourhood of residence on participation in preventive health-care activities: The case of cervical screening in the Paris metropolitan area (France). Health & Place, 16, 838–852.

    Article  Google Scholar 

  • Wheaton, B., & Clarke, P. (2003). Space meets time: Integrating temporal and contextual influences on mental health in early adulthood. American Sociological Review, 68, 680–706.

    Article  Google Scholar 

  • Wong, D., & Shaw, S. L. (2011). Measuring segregation: An activity space approach. Journal of Geographical Systems, 13, 127–145.

    Article  Google Scholar 

  • Zenk, S. N., Schulz, A. J., Matthews, S. A., Odoms-Young, A., Wilbur, J., Wegrzyn, L., . . . Stokes, C. (2011). Activity space environment and dietary and physical activity behaviors: A pilot study. Health Place, 17, 1150–1161.

    Google Scholar 

Download references

Acknowledgments

This research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (Grants R01HD35944 and R01HD41486) and by the Russell Sage Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Malia Jones.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOCX 158 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jones, M., Pebley, A.R. Redefining Neighborhoods Using Common Destinations: Social Characteristics of Activity Spaces and Home Census Tracts Compared. Demography 51, 727–752 (2014). https://doi.org/10.1007/s13524-014-0283-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13524-014-0283-z

Keywords

Navigation