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UBC Theses and Dissertations

Urban population density distribution: a contribution from the Vancouver case Tse, Ming-Lan


Colin Clark's model of the negative exponential population density decay function is applied to the Vancouver case. Though the model is claimed to hold true for all places at all times, it does not offer sufficient explanations why the process is occurring, nor does it pay due regards to the topographical effects. The application of the model to the east and south sections of Vancouver may throw some light to the rationale of the city growth process. We are able to compare the density gradient of the east and south due to the different timing of transportation improvement and physical morphology. By examining two sections of the same city we can isolate the effect of transportation on the density of development, since both sections are subject to the same growth pressures. The density profiles of the whole city, and the eastern and southern sections of it (in the shape of ring, single airline, sector and band) are prepared; and for each plotting of population density, two parallel regression runs are made with regard to both radial distance and travel time. The model is tested at four points in time; and its goodness of fit is measured by the coefficients of determination. The conclusions reached are as follows: 1. The quality of the model in replicating the Vancouver experience is similar to that found for a wide range of cities. 2. The east and the south are marked by the differential rates of density decline, which are mainly due to the date at which the development takes place. 3. The distance parameter measured in travel time from the CBD does not give a significantly better fit to the model than radial distance from the CBD. 4. The coefficients of determination of the model decline over time, suggesting variable pattern of population density within the city over time. 5. The imputed central density does not show a consistent decline over time. 6. The steepness of density decline decreases in the course of time.

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