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Determinants of residential location in the Adenta Municipality, Ghana

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Abstract

This paper assesses the determinants of households’ residential location decision in the Adenta Municipality. Using a total sample of 194 respondents selected from the 18 communities in the Municipality, a multi-stage sampling procedure and google-earth images; the paper concludes that neighbourhood welfare, accessibility attributes, comfort levels of the households and the overall housing conditions are the major determinants which influence household residential location choices in the study area. The paper recommends among others that neighbourhood characteristics such as security of vicinity, proximity to access road, house types, proximity to work and noise levels should be given the necessary attention in the development of urban communities such as Adenta in Ghana.

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References

  • Adenta Municipal Assembly. (2013). The medium term development plan, 2010–2013. Accra: Adenta Municipal Assembly.

    Google Scholar 

  • Alonso, W. (1960). A theory of the urban land market. Papers in Regional Science Association, 6(1), 149–157.

    Article  Google Scholar 

  • Alonso, W. (1964). Location and land use. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Batty, M. (1976). Urban modelling: Algorithms, calibrations, predictions. Cambridge: Cambridge University Press.

    Google Scholar 

  • Batty, M. (1994). A chronicle of scientific planning: The Anglo-American modelling experience. Journal of the American Institute of Planners, 60(1), 7–16.

    Article  Google Scholar 

  • Ben-Akiva, M. E., & Bowman, J. L. (1998). Integration of an activity-based model system and a residential location model. Urban Studies, 35(7), 1131–1153.

    Article  Google Scholar 

  • Ben-Akiva, M. E., & Lerman, S. R. (1985). Discrete choice analysis: Theory and application to travel demand (Vol. 9). Cambridge: MIT press.

    Google Scholar 

  • Bertuglia, C. S., Leonardi, G., Occelli, S., Rabino, G. A., Tadei, R., & Wilson, A. G. (Eds.). (1987). Urban systems: Contemporary approaches to modelling. London: Croom Helm.

    Google Scholar 

  • Bossard, J. H. S. (1932). Residential propinquity as a factor in marriage selection. American Journal of Sociology, 38, 219–244.

    Article  Google Scholar 

  • Burgess, E. W. (1927). The determinants of gradients in the growth of a city. American Sociology Review, 21, 178–184.

    Google Scholar 

  • Carrothers, G. A. P. (1956). An historical review of the gravity and potential concepts of human interaction. Journal of the American Institute of Planners, 22(2), 94–102.

    Article  Google Scholar 

  • Chen, J., Chen, C., & Timmersmans, H. (2008). Accessibility trade-offs in household residential location decision. Transportation Research Record: Journal of the Transportation Research Board, 2077(1), 71–79.

    Article  Google Scholar 

  • Clark, W. A. V., & Withers, S. D. (1999). Changing jobs and changing houses: Mobility outcomes of employment transitions. Journal of Regional Science, 39(4), 653-673.

    Article  Google Scholar 

  • Frenkel, A., Bendit, E., & Kaplan, S. (2013). Residential location choice of knowledge workers: The role of amenities, workplace and lifestyle. Cities, 35, 33–41.

    Article  Google Scholar 

  • Gayda, S. (1998). Stated preference survey on residential location choice and modal choice in brussels. Paper presented at the world conference on transportation research, Antwerpen.

  • Ghana Statistical Service. (2012). 2010 Housing and population census. Summary report of final results. Accra: Ghana Statistical Service.

  • Ghana Statistical Service. (2014). 2010 Housing and population census. District analytical report—Adentan Municipality. Accra: Ghana Statistical Service.

  • Guevara, C., & Ben-Akiva, M. E. (2006). Endogeneity in residential location choice models. Transportation research record No. 1977 (pp. 60–66).

  • Gyimah, S. O.-M. (2001). Residential location and intra city mobility in an African City: Some empirical observations among migrants in metropolitan Accra, Ghana. PSC Discussion Papers Series, 15(15), Article 1. http://ir.lib.uwo.ca/pscpapers/vol15/iss15/1.

  • Harris, C. D., & Ullman, E. L. (1945). The nature of cities. Annals of the American Academy of Political and Social Science, 242(1), 7–17.

    Article  Google Scholar 

  • Hoyt, H. (1939). The structure and growth of residential neighbourhoods in American cities. Washington, D.C.: Federal Housing Administration.

    Google Scholar 

  • Huff, D. L. (1964). Defining and estimating a trading area. The Journal of Marketing, 28(3), 34–38.

    Article  Google Scholar 

  • Hunt, J. D, McMillan, D. P., & Abraham, J. E. (1994). A stated preference investigation of influences of the attractiveness of the residential locations. Transportation research record 1466 (pp. 79–87).

  • Ikle, F. C. (1954). Sociological relationship of traffic to population and distance. Traffic Quarterly, 8(2), 123–136.

    Google Scholar 

  • Kiefer, Hua. (2012). Residential location choice: The role of taste for similarity. International Journal of Economics and Finance, 4(9), 34–60.

    Article  Google Scholar 

  • Kim, J., Francesca, Pagliara, & Preston, John. (2015). The intention to move and residential location choice behaviour. Urban Studies, 42(9), 1621–1636.

    Article  Google Scholar 

  • Lakshmanan, T. R., & Hansen, W. G. (1965). A retail market potential model. Journal of the American Institute of Planners, 31(2), 134–143.

    Article  Google Scholar 

  • Lee, B. H. Y, & Waddell, P. A. (2010). Residential mobility and location choices: A nested logit model with sampling of alternatives. Transportation, 37(4), 587–601.

    Article  Google Scholar 

  • Lowry, I. S. (1964). A model of metropolis, RM-4035-RC. Santa Monica, CA: The Rand Corporation.

    Google Scholar 

  • Mahama, Callistus. (2006). Property markets in Ghana. A Royal Institution of Chartered Surveyors (RICS) discussion paper. London: RICS.

    Google Scholar 

  • Morrow-Jones, H. A., & Kim, M. J. (2009). Determinants of residential location decisions among the pre-elderly. Journal of Transport and Land Use, 2(1), 47–64.

    Google Scholar 

  • Pagliara, F., Preston, J., & Simmonds, D. (2010). Residential location choice. Models and applications. Berlin: Springler.

    Book  Google Scholar 

  • Pallant, J. (2001). SPSS survival manual: A step-by-step guide to data analysis using SPSS. Buckingham: Open University Press.

    Google Scholar 

  • Phineda, J. F. (1981). Residential location decisions of multiple workers households in Bogota, Columbia. Washington, D.C. The World Bank, Urban and Regional Report 81—10, July 1981 (City Study Project Paper No. 22).

  • Reilly, W. J. (1929). Methods for the study of retail relationships. Bulletin No. 2944. Austin: University of Texas.

  • Rivera, M. A. I., & Tiglao, N. C. C. (2005). Modelling residential location choice, workplace location and mode choice of two-worker households in Metro Manila. In Proceedings of the eastern Asia society for transport studies, vol 5 (pp. 1167–1178).

  • Schwarze, B. (2010). A residential location decision support system (RLDSS) as a contribution to more sustainability in urban regions. http://www.spiekermannwegener.com/pub/pdf/CUPUM_Paper_178_BS_RLDSS.pdf.

  • Stewart, J. Q. (1942). A measure of the influence of population at a distance. Sociometry, 5, 63–71.

    Article  Google Scholar 

  • Tipple, A. G., Stephen, O., & Pritchard, C. (2004). User-initiated extensions in government-built estates in Ghana and Zimbabwe: Unconventional but effective housing supply. Africa Today, 51(2), 79–105.

    Article  Google Scholar 

  • von Thunnen, J. H. (1826). Der isolierte staat in beziehung auf landwirtschaft und nationalokonomie. Stuttgart: Gustav Fisher. English edition: (1966). The isolated state (trans: Wartenburg, C. M.). Oxford: Oxford University Press.

  • Wegener, M. (1994). Operational urban models: The state of the art. Journal of American Institute of Planners, 60(1), 17–29.

    Article  Google Scholar 

  • Wilson, A. G. (1998). Land use-transport interaction models: Past and future. Journal of Transport Economics and Policy, 32(1), 3–26.

    Google Scholar 

  • Yankson, W. K., Kofie, R. Y., & Moller-Jenson, L. (2004). Monitoring urban growth: Urbanisation of the fringe areas of Accra. Working paper.

  • Yi, C., & Lee, S. (2014). An empirical analysis of the characteristics of residential location choice in the rapidly growing Korean housing market. Cities, 39, 156–163.

    Article  Google Scholar 

  • Young, E. C. (1924). The movement of farm population, Bulletin No 246. Ithaca, NY: Cornell Agricultural Experiment Station.

    Google Scholar 

  • Zipf, G. K. (1946). The P1P2/D hypothesis: On the inter-city movement of persons. American Sociological Review, 11(6), 677–686.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Planning, College of Art and Built Environment, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

    Michael Poku-Boansi & Kwasi Kwafo Adarkwa

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  1. Michael Poku-Boansi
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  2. Kwasi Kwafo Adarkwa
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Correspondence to Michael Poku-Boansi.

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Poku-Boansi, M., Adarkwa, K.K. Determinants of residential location in the Adenta Municipality, Ghana. GeoJournal 81, 779–791 (2016). https://doi.org/10.1007/s10708-015-9665-z

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