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

PDF

File Size

1.149 Kb

Language

English

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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