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Mediating Effects Between Objective and Subjective Indicators of Urban Quality of Life: Testing Specific Models for Safety and Access

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Abstract

Enhancing the urban quality of life (QoL) is an explicit policy goal of many countries, yet it is rarely studied using models that relate objective measures of the urban environment to the subjective evaluations of residents. It thus often remains unclear how planning interventions in the urban environment may influence residents’ satisfaction with their living conditions. In particular, during periods of significant urban growth, such as those recently observed in Switzerland, which result in diverse, unwanted threats to the local QoL (e.g., loss of green spaces, traffic congestions, and fear of crime). This study uses data from a sample of 1,693 residents that participated in a postal survey about urban QoL. The responses were combined with objective attributes of residential conditions, using geographic information systems. Structural equation models were calibrated to examine the direct and indirect effects of important indicators of urban QoL, namely safety in public spaces and access to central urban facilities. The study sheds further light on the mediating effects between objective characteristics and subjective evaluations that influence the urban QoL. The results showed predominantly low correlations between objective characteristics and subjective evaluations of urban QoL, which confirmed the findings of the few previous studies on this topic. Surprisingly, this study also found a strong link between objective access and perceived accessibility. This relation was explained by the spatial scope of the study region and suggested that the scale discordance theory should be tested in future research. The findings implied that variations in objective measures do not reliably represent differences as evaluated by residents.

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References

  • Acock, A. C. (2005). Working with missing values. Journal of Marriage and Family, 67(4), 1012–1028. doi:10.1111/j.1741-3737.2005.00191.x.

    Article  Google Scholar 

  • Adriaensen, F., Chardon, J. P., De Blust, G., Swinnen, E., Villalba, S., Gulinck, H., et al. (2003). The application of ‘least-cost’ modelling as a functional landscape model. Landscape and Urban Planning, 64(4), 233–247. doi:10.1016/S0169-2046(02)00242-6.

    Article  Google Scholar 

  • Angur, M. G., Widgery, R., & Angur, S. G. (2004). Congruence among objective and subjective Quality-of-Life (QOL) indicators. Alliance Journal of Business Research, no Volume(issue) provided, 47–54.

  • Arbuckle, J. L. (2011). IBM SPSS Amos 20.0 user’s guide. Chicago, IL: Amos Development Corporation.

    Google Scholar 

  • Archibugi, F. (2001). City effect and urban overload as program indicators of the regional policy. Social Indicators Research, 54(2), 209–230. doi:10.1023/a:1011017200876.

    Article  Google Scholar 

  • Ballas, D. (2013). What makes a ‘happy city’? Cities, 32(Supplement 1), S39–S50. doi:10.1016/j.cities.2013.04.009.

    Article  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi:10.1037/0022-3514.51.6.1173.

    Article  Google Scholar 

  • Batty, M. (2013). A theory of city size. Science, 340(6139), 1418–1419. doi:10.1126/science.1239870.

    Article  Google Scholar 

  • Bettencourt, L. M. A., Lobo, J., Helbing, D., Kühnert, C., & West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. Proceedings of the National Academy of Sciences, 104(17), 7301–7306. doi:10.1073/pnas.0610172104.

    Article  Google Scholar 

  • Burby, R. J. (2003). Making plans that matter: Citizen involvement and government action. Journal of the American Planning Association, 69(1), 33–49. doi:10.1080/01944360308976292.

    Article  Google Scholar 

  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming. London: Routledge.

    Google Scholar 

  • Campbell, A., Converse, P., & Rodgers, W. (1976). The quality of American life: Perceptions, evaluations and satisfactions. New York: Russell Sage Foundation.

    Google Scholar 

  • Cicerchia, A. (1999). Measures of optimal centrality: Indicators of city effect and urban overloading. Social Indicators Research, 46(3), 273–299. doi:10.1023/a:1006808506878.

    Article  Google Scholar 

  • Costanza, R., Fisher, B., Ali, S., Beer, C., Bond, L., Boumans, R., et al. (2007). Quality of life: An approach integrating opportunities, human needs, and subjective well-being. Ecological Economics, 61(2–3), 267–276. doi:10.1016/j.ecolecon.2006.02.023.

    Article  Google Scholar 

  • Coulton, C., Korbin, J., Chan, T., & Su, M. (2001). Mapping residents’ perceptions of neighborhood boundaries: A methodological note. American Journal of Community Psychology, 29(2), 371–383. doi:10.1023/a:1010303419034.

    Article  Google Scholar 

  • Crespo, R., & Grêt-Regamey, A. (2013). Local hedonic house-price modelling for urban planners: Advantages of using local regression techniques. Environment and Planning B: Planning and Design, 40(4), 664–682.

    Article  Google Scholar 

  • Cummins, R. A. (1996). The domains of life satisfaction: An attempt to order chaos. Social Indicators Research, 38(3), 303–328. doi:10.1007/bf00292050.

    Article  Google Scholar 

  • Cummins, R. A. (2000). Objective and subjective quality of life: An interactive model. Social Indicators Research, 52(1), 55–72. doi:10.1023/a:1007027822521.

    Article  Google Scholar 

  • Cummins, R. A. (2005). Moving from the quality of life concept to a theory. Journal of Intellectual Disability Research, 49(10), 699–706. doi:10.1111/j.1365-2788.2005.00738.x.

    Article  Google Scholar 

  • Davis, E. E., & Fine-Davis, M. (1991). Social indicators of living conditions in Ireland with European comparisons. Social Indicators Research, 25(2–4), 103–365. doi:10.1007/bf00286160.

    Article  Google Scholar 

  • Diener, E. (2006). Guidelines for national indicators of subjective well-being and ill-being. Applied Research in Quality of Life, 1(2), 151–157. doi:10.1007/s11482-006-9007-x.

    Article  Google Scholar 

  • Evans, S., & Huxley, P. (2002). Studies of quality of life in the general population. International Review of Psychiatry, 14(3), 203–211. doi:10.1080/09540260220145028.

    Article  Google Scholar 

  • Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2003). Geographically weighted regression: The analysis of spatially varying relationships. Chichester: Wiley.

    Google Scholar 

  • Giles-Corti, B., & Donovan, R. J. (2002). The relative influence of individual, social and physical environment determinants of physical activity. Social Science & Medicine, 54(12), 1793–1812. doi:10.1016/S0277-9536(01)00150-2.

    Article  Google Scholar 

  • Grudin, J., & Pruitt, J. (2002). Personas, participatory design and product development: An infrastructure for engagement. In Participatory design conference, proceedings of the PDC computer professionals for social responsibility (pp. 144–161).

  • Hagerty, M., Cummins, R., Ferriss, A., Land, K., Michalos, A., Peterson, M., et al. (2001). Quality of life indexes for national policy: Review and agenda for research. Social Indicators Research, 55(1), 1–96. doi:10.1023/a:1010811312332.

    Article  Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118.

    Article  Google Scholar 

  • Jeffres, L. W., & Dobos, J. (1995). Communication and perceptions of quality of life. In M. J. Sirgy, & A. C. Samli (Eds.), New dimensions of marketing/quality-of-life research (pp. 227–252). Westport, CT: Quorum Books.

  • Kitchen, P., & Williams, A. (2010). Quality of life and perceptions of crime in Saskatoon, Canada. Social Indicators Research, 95(1), 33–61. doi:10.1007/s11205-009-9449-2.

    Article  Google Scholar 

  • Lance, C., Mallard, A., & Michalos, A. (1995). Tests of the causal directions of global—Life facet satisfaction relationships. Social Indicators Research, 34(1), 69–92. doi:10.1007/bf01078968.

    Article  Google Scholar 

  • Lee, T., & Marans, R. W. (1980). Objective and subjective indicators: Effects of scale discordance on interrelationships. Social Indicators Research, 8(1), 47–64.

    Article  Google Scholar 

  • Liao, P. S. (2009). Parallels between objective indicators and subjective perceptions of quality of life: A study of metropolitan and county areas in Taiwan. Social Indicators Research, 91(1), 99–114. doi:10.1007/s11205-008-9327-3.

    Article  Google Scholar 

  • Loukaitou-Sideris, A. (2006). Is it safe to walk? Neighborhood safety and security considerations and their effects on walking. Journal of Planning Literature, 20(3), 219–232. doi:10.1177/0885412205282770.

    Article  Google Scholar 

  • Loukaitou-Sideris, A., Liggett, R., Iseki, H., & Thurlow, W. (2001). Measuring the effects of built environment on bus stop crime. Environment and Planning B: Planning and Design, 28(2), 255–280.

    Article  Google Scholar 

  • Lu, M. (1999). Determinants of residential satisfaction: Ordered logit vs. regression models. Growth and Change, 30(2), 264–287. doi:10.1111/0017-4815.00113.

    Article  Google Scholar 

  • Marans, R. W., & Stimson, R. J. (2011). An overview of quality of urban life. In R. W. Marans, & R. J. Stimson (Eds.), Investigating quality of urban life. Theory, methods, and empirical research (Vol. 45, pp. 1–29, Social Indicators Research Series). Dordrecht, Heidelberg: Springer.

  • McCrea, R., Shyy, T.-K., & Stimson, R. (2006). What is the strength of the link between objective and subjective indicators of urban quality of life? Applied Research in Quality of Life, 1(1), 79–96. doi:10.1007/s11482-006-9002-2.

    Article  Google Scholar 

  • McCrea, R., Stimson, R., & Marans, R. (2011a). The evolution of integrative approaches to the analysis of quality of urban life. In R. W. Marans, & R. J. Stimson (Eds.), Investigating quality of urban life (Vol. 45, pp. 77–104, Social Indicators Research Series). Netherlands: Springer.

  • McCrea, R., Stimson, R., & Marans, R. (2011b). Subjective measurement of quality of life using primary data collection and the analysis of survey data. In R. W. Marans & R. J. Stimson (Eds.), Investigating quality of urban life (Vol. 45, pp. 55–75, Social Indicators Research Series). Netherlands: Springer.

  • Michalos, A., & Zumbo, B. (2000). Criminal victimization and the quality of life. Social Indicators Research, 50(3), 245–295. doi:10.1023/a:1006930019814.

    Article  Google Scholar 

  • Noll, H.-H. (2002). Social indicators and quality of life research: Background, achievements and current trends. In N. Genov (Ed.), Advances in sociological knowledge over half a century. Paris: International Social Science Council.

    Google Scholar 

  • Oswald, A. J., & Wu, S. (2010). Objective confirmation of subjective measures of human well-being: Evidence from the USA. Science, 327(5965), 576–579. doi:10.1126/science.1180606.

    Article  Google Scholar 

  • Rogerson, R. J., Findlay, A. M., Morris, A. S., & Coombes, M. G. (1989). Indicators of quality of life: Some methodological issues. Environment and Planning A, 21(12), 1655–1666.

    Article  Google Scholar 

  • Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177. doi:10.1037/1082-989X.7.2.147.

    Article  Google Scholar 

  • Schumacher, M., Koch, M., & Ruegg, J. (2004). The Zürich Limmattal. Steps of a servant valley towards emancipation. In G. Dubois-Taine (Ed.), From Helsinki to Nicosia, PUCA und COST C10. Paris: METL/PUCA.

  • Sirgy, M. J. (2012). Residential well-being. In M. J. Sirgy (Ed.), The psychology of quality of life: Hedonic Well-being, Life Satisfaction, and Eudaimonia (Vol. 50, pp. 303–324, Social Indicators Research Series). Netherlands: Springer.

  • Sirgy, M. J., & Cornwell, T. (2002). How neighborhood features affect quality of life. Social Indicators Research, 59(1), 79–114. doi:10.1023/a:1016021108513.

    Article  Google Scholar 

  • Sirgy, M. J., Gao, T., & Young, R. F. (2008). How does residents` satisfaction with community services influence quality of life (QOL) outcomes? Applied Research in Quality of Life, 3(2), 81–105. doi:10.1007/s11482-008-9048-4.

    Article  Google Scholar 

  • Statistical Office Canton Zurich. (2013). Cantonal and communal statistics. http://www.statistik.zh.ch. Accessed November 13, 2013.

  • Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893–898.

    Article  Google Scholar 

  • Swiss Federal Statistical Office (BfS). (2013). Federal population statistics for Switzerland. http://www.bfs.admin.ch/. Accessed November 13, 2013.

  • Talen, E. (2002). Pedestrian access as a measure of urban quality. Planning Practice and Research, 17(3), 257–278.

    Article  Google Scholar 

  • WHO, & UN Habitat. (2010). Hidden cities: Unmasking and overcoming health inequities in urban settings. Kobe/Nairobi: WHO.

    Google Scholar 

  • Zapf, W. (1984). Individuelle Wohlfahrt: Lebensbedingungen und wahrgenommene Lebensqualität. In W. Glatzer & W. Zapf (Eds.), Lebensqualität in der Bundesrepublik Objektive Lebensbedingungen und subjektives Wohlbefinden (pp. 13–26). Frankfurt: Campus.

    Google Scholar 

  • Zenker, S., Petersen, S., & Aholt, A. (2013). The Citizen Satisfaction Index (CSI): Evidence for a four basic factor model in a German sample. Cities, 31, 156–164. doi:10.1016/j.cities.2012.02.006.

    Article  Google Scholar 

  • Zürcher Planungsgruppe Limmattal (ZPL) (2012). Entwicklung der Region 1985–2011. Facts and figures ZPL. Schlieren: Sennhauser, Werner & Rauch AG. http://www.zpl.ch/FactsundFigures/121015_Facts%20und%20Figures%20ZPL_neu.pdf. Accessed 13 Nov 2013.

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Acknowledgements

The research presented in this article was carried out within the project “Sustainable Urban Patterns”, funded by the Swiss National Science Foundation’s National Research Program (NRP 65) “New Urban Quality” (http://www.nfp65.ch), Research Grant: 406540-130578. We acknowledge the valuable input given by Quang Bao Le (ETH Zurich, NSSI) into earlier versions of this work.

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Correspondence to Timo von Wirth.

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Table 4 Descriptive statistics and correlation coefficients of all manifest variables used in the structural equation models

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von Wirth, T., Grêt-Regamey, A. & Stauffacher, M. Mediating Effects Between Objective and Subjective Indicators of Urban Quality of Life: Testing Specific Models for Safety and Access. Soc Indic Res 122, 189–210 (2015). https://doi.org/10.1007/s11205-014-0682-y

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