Random parameter models for estimating statewide daily bicycle counts using crowdsourced data

Author:

Dadashova Bahar,Griffin Greg P.

Funder

Texas Department of Transportation

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Civil and Structural Engineering

Reference58 articles.

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2. Barrington-Leigh, Chris, Millard-Ball, A., 2017. Supporting information (online component) for “The world’s user-generated road map is more than 80% complete” [WWW Document]. URL https://wellbeing.ihsp.mcgill.ca/publications/PLOS2017roads/figures_2017_update/countries-table.html (accessed 5.6.19).

3. A spatial generalized ordered-response model with skew normal kernel error terms with an application to bicycling frequency;Bhat;Transp. Res. Part B Methodol.,2017

4. Using crowdsourced data to monitor change in spatial patterns of bicycle ridership;Boss;J. Transp. Heal.,2018

5. Cao, C., Liu, Z., Li, M., Wang, W., Qin, Z., 2018. Walkway discovery from large scale crowdsensing. In: Proc. 17th ACM/IEEE Int. Conf. Inf. Process. Sens. Networks 13–24. https://doi.org/10.1109/IPSN.2018.00009.

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