Accounting for Spatial Heterogeneity Using Crowdsourced Data
Given the numerous benefits of active travel (human-powered transportation), in this paper, we argue that using crowdsourced data and a spatial heterogeneity treatment enhances the predictive performance of data modelling. Using such an approach thus increases the amount of insight that can be obtai...
Main Authors: | Mohammad Anwar Alattar, Caitlin Cottrill, Mark Beecroft |
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Format: | Article |
Language: | English |
Published: |
Findings Press
2021-04-01
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Series: | Findings |
Online Access: | https://transportfindings.scholasticahq.com/article/22495-accounting-for-spatial-heterogeneity-using-crowdsourced-data.pdf |
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