Document Type
Article
Publication Date
1-1-2019
Publication Title
Sustainability
Publisher
MDPI
Volume
11
Issue
1
First page number:
1
Last page number:
24
Abstract
This article applies matrix forecasting methods to the investigation of residential relocation and commuting patterns that are highly interconnected, but often analyzed separately. More specifically, using recent inter-county migration and commuting pattern data for the three largest metropolitan areas in California, it examines how residential relocation and commuting are associated in the regions and whether a unified framework—in which household relocation and commuting flow matrices are jointly determined—can improve the forecasting performance. The relocation–commuting association is found to differ substantially by region, suggesting the importance of region-specific factors in shaping the interrelationship. Joint forecasting, however, can attain a higher accuracy compared to the two separate projections, although the forecasting performance varies based on the method employed.
Keywords
Residential relocation; Commuting; Matrix forecasting; Forecasting accuracy; California
Disciplines
Sustainability
File Format
File Size
1.149 Kb
Language
English
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Repository Citation
Lim, J.,
Kim, J. H.
(2019).
Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning.
Sustainability, 11(1),
1-24.
MDPI.
http://dx.doi.org/10.3390/su11010182