Implicit GPS-based bicycle route choice model using clustering methods and a LSTM network
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DOI: 10.1371/journal.pone.0264196
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References listed on IDEAS
- Xiaolu Zhou, 2015. "Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
- Pablo Vera-Villarroel & Daniela Contreras & Sebastián Lillo & Christian Beyle & Ariel Segovia & Natalia Rojo & Sandra Moreno & Francisco Oyarzo, 2016. "Perception of Safety and Liking Associated to the Colour Intervention of Bike Lanes: Contribution from the Behavioural Sciences to Urban Design and Wellbeing," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-15, August.
- Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
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Cited by:
- Łukawska, Mirosława & Paulsen, Mads & Rasmussen, Thomas Kjær & Jensen, Anders Fjendbo & Nielsen, Otto Anker, 2023. "A joint bicycle route choice model for various cycling frequencies and trip distances based on a large crowdsourced GPS dataset," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
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