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...

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Bibliographic Details
Main Authors: Mohammad Anwar Alattar, Caitlin Cottrill, Mark Beecroft
Format: Article
Language:English
Published: Findings Press 2021-04-01
Series:Findings
Online Access:https://transportfindings.scholasticahq.com/article/22495-accounting-for-spatial-heterogeneity-using-crowdsourced-data.pdf