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Transportation Letters
The International Journal of Transportation Research
Volume 11, 2019 - Issue 9
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Research Paper

Validating crowdsourced bicycling mobility data for supporting city planning

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Read on this site (3)

Nick Grudgings, Susan Hughes & Alex Hagen-Zanker. (2023) What aspects of traffic intensity most influence cycling mode choice? A study of commuting in Surrey, UK. International Journal of Sustainable Transportation 17:2, pages 136-147.
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Martyna Bogacz, Stephane Hess, Charisma F. Choudhury, Chiara Calastri, Faisal Mushtaq, Muhammad Awais, Mohsen Nazemi, Michael A.B. van Eggermond & Alexander Erath. (2021) Cycling in virtual reality: modelling behaviour in an immersive environment. Transportation Letters 13:8, pages 608-622.
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Khashayar Kazemzadeh, Rosalia Camporeale, Carmelo D’Agostino, Aliaksei Laureshyn & Lena Winslott Hiselius. (2021) Same questions, different answers? A hierarchical comparison of cyclists’ perceptions of comfort: in-traffic vs. online approach. Transportation Letters 13:7, pages 531-539.
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Articles from other publishers (4)

Tmnit H. Halefom, David Pullar, Dorina Pojani & Ernest Frimpong Asamoah. (2022) How much traffic stress can cyclists endure?. Case Studies on Transport Policy 10:4, pages 2251-2261.
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Scott N Lieske, Simone Z Leao, Lindsey Conrow & Chris Pettit. (2019) Assessing geographical representativeness of crowdsourced urban mobility data: An empirical investigation of Australian bicycling. Environment and Planning B: Urban Analytics and City Science 48:4, pages 775-792.
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Jorge Rodríguez-Echeverría, Ivana Semanjski, Casper Van Gheluwe, Daniel Ochoa, Harm IJben & Sidharta Gautama. (2020) Density-Based Spatial Clustering and Ordering Points Approach for Characterizations of Tourist Behaviour. ISPRS International Journal of Geo-Information 9:11, pages 686.
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Rathin Chandra Shit. (2020) Crowd intelligence for sustainable futuristic intelligent transportation system: a review. IET Intelligent Transport Systems 14:6, pages 480-494.
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