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This work aims to analyze job accessibility across diverse spatial patterns in the Greater Golden Horseshoe area, Ontario, Canada. Using variables extracted from satellite images, we identified six distinct spatial patterns with variations in building density, land use, and street layout. Afterwards, we compared accessibility to employment considering different modes of transportation in the identified spatial patterns. Results show that higher building density spatial patterns exhibit elevated accessibility for all transportation modes. The job accessibility is concentrated in approximately 10% of the GGH, posing challenges for spatial planners to devise a transportation system that accommodates these territorial differences. Statistical analyses confirm significant differences in job accessibility among spatial patterns.
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