Abstract
This research maps the urban quality of life (QoL) in Alfama, Lisbon (Portugal) through objective and subjective measures. A survey of 69 respondents and locations of social services were gathered suggesting the subjective and objective QoL respectively in the physical, economic, and social domains. The relationship between the two measures is examined using correlation analysis. It was determined that the association between them is weak and not significant, which could have been caused by the geographic scale and the sample size. These two factors also affected the spatial autocorrelation check implemented to the 15 subjective indicators using the Moran’s I test. Out of 15, only 3 indicators were spatially autocorrelated. These 3 indicators were interpolated using Ordinary Kriging (OK). The rest is interpolated using the Voronoi polygon. All 15 prediction maps were used to create the overall subjective QoL using Weighted Sum procedure.
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References
Campbell, A., Converse, P., Rodgers, W.: The Quality of American Life: Perceptions, Evaluations and Satisfaction. Russel Sage Foundation, New York (1976)
Rogerson, R.: Quality of life and city competitiveness. Urban Studies 36(5), 969–985 (1999)
Tuan Seik, F.: Subjective assessment of urban quality of life in Singapore (1997-1998). Habitat International 24(1), 31–49 (2000)
Costanza, R., Fisher, B., Ali, S., Beer, C., Bond, L., et al.: Quality of lif: An approach integrating opportunities, human needs, and subjective well-being. Ecological Economics 61(2-3), 267–276 (2007)
Bonnes, M., Uzzell, D., Carrus, G., Kelay, T.: Inhabitants’ and experts’ assessments of environmental quality for urban sustainability. Journal of Social Issues 63(1), 59–78 (2007)
Das, D.: Urban quality of life: A case study of Guwahati. Social Indicators Research 88(2), 297–310 (2007)
Tesfazghi, E., Martinez, J., Verplanke, J.: Variability of quality of life at small scales: Addis Ababa, Kirkos sub-city. Social Indicators Research 98(1), 73–88 (2010)
Bowling, A.: Measuring Health: A Review of Quality of Life Measurement Scales, American Journal of Physics, Berkshire, UK (2005)
Paler-Calmorin, L., Calmorin, M.: Statistics in Education and the Sciences: With Application to Research, Rex Bookstore Inc., Quezon City (1997)
Olsson, U., Drasgow, F., Dorans, N.: The polyserial correlation coefficient. Psychometrika 47(3), 337–347 (1982)
Upton, G., Fingleton, B.: Spatial Data Analysis by Example: Point Pattern and Quantitative Data. Wiley, University of Michigan (1985)
Bivand, R., Pebesma, E., Gomez-Rubio, V.: Applied Spatial Data Analysis with R. Springer, Heidelberg (2008)
Hengl, T.: A practical Guide to Geostatistical Mapping, Office for Official Publications of the European Communities, Luxembourg (2009)
Okabe, A., Boots, B., Sugihara, K.: Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. John Wiley & Sons, Chichester (1992)
Kim, I.Y., de Weck, L.: Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation. Structural and Multidisciplinary Optimization 31(2), 105–116 (2005)
Altman, D., Bland, J.: Statistics notes: Absence of evidence is not evidence of absence. BMJ 311, 485 (1995)
Veenhoven, R.: Why social policy needs subjective indicators. Social Indicators Research, 33–45 (2004)
Cummins, R.: Objective and subjective quality of life: An interactive model. Social Indicators Research 52(1), 55–72 (2000)
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dela Cruz, P.M., Cabral, P., Mateu, J. (2011). Mapping the Quality of Life Experience in Alfama: A Case Study in Lisbon, Portugal. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21928-3_19
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DOI: https://doi.org/10.1007/978-3-642-21928-3_19
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