Part II: An Analysis of GVRD Land-use and
Transportation Patterns
The following analysis
is based on statistics compiled by a number of sources including Statistics
Canada (1996 and 2001 census data), and the GVRD. The analysis examines land-use
and transportation patterns to identify some of the causal factors affecting
them in the Greater Vancouver Region as a whole. A more detailed analysis
is undertaken of the municipalities of Vancouver and Surrey, the former
the largest GVRD municipality and the latter the fastest growing, to examin
the degree to which regional sustainability objectives are being achieved
at the municipal level, and the causal factors and relationships involved
in regional outcomes. The regional analysis is conducted using census tract
data, and the municipal analyses are conducted enumeration area data. To
display the results of the analysis, graphic representations of statistics
such as maps, tables and graphs, including some prepared by the GVRD and
some other organizations, are used. The analysis focuses on two of the four
fundamental objectives of the LRSP: Building Complete Communities and Increasing
Transportation Choice. This research builds on some earlier preliminary research
that evaluated and compared sustainability in the region using a set of sustainability
criteria based on Census Sub-Divisions (municipalities) that can be seen
at: www.sfu.ca/geog355fall02/jkarakas.
METHOD
To examine the quality and placement of growth in Greater Vancouver,
I examined land-use and transportation patterns Using 1996 Canadian Census
data and 1996 GVRD land-use data.The causal factors and relationships related
to sustainability in Greater Vancouver that were examined are: Dwelling Unit
Density, Commuter patterns, Land-use patterns, and Income distribution.
The examination was focused on discovering the spatial correlations between
these factors, and showing these correlations visually with graphic displays.
These correlations where also examined (and coloborated) using regression
analysis.
Residential land-uses were used to clip census tract and enumeration area
shape files linked to the attribute data (census variables) examined so as
to isolate residential land-uses from other uses to increase the accuracey
of both the displays and the analyses. Dwelling unit densities were based
on dwelling units per/acre and calculated using total dwelling counts and
residential area based on census tract for the regional analyses and enumeration
areas for the municipal analyses.
Dwelling unit densities and commuter patterns were analysed and displayed
using various maps and graphic displays.
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