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Abstract
Spatiotemporal Patterns of Employment and Non-Work Activities in Portland, OregonTrack: Transportation and Logistics
Author(s): Ronald N. Buliung
The hypothesis that travel is derived from individual and household requirements for daily participation in activities is widely accepted within the travel behavior research community. Contemporary travel surveys often record the timing and location of respondent activities over a specific time period. This data can be used to study revealed activity patterns of a sampled population.
In this paper ArcView software's kernel and weighted kernel functions are used to explore spatiotemporal patterns of out-of-home activities in Portland, Oregon. The analysis reveals the potential location of clusters of longer duration activities. The results also suggest that the intensity of space use is not necessarily constant across multiple days.
Keywords: activity patterns, kernel, Portland
Ronald N. Buliung
McMaster University
1280 Main St. West
Hamilton, Ontario L8S 4K1
Canada
Phone: 905 525 9140
Fax: 905 546 0463
E-mail: buliungr@mcmaster.ca