Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables
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DOI: 10.1016/j.tra.2016.11.016
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- Ben Beck & Meghan Winters & Trisalyn Nelson & Chris Pettit & Simone Z Leao & Meead Saberi & Jason Thompson & Sachith Seneviratne & Kerry Nice & Mark Stevenson, 2023. "Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics," Environment and Planning B, , vol. 50(1), pages 7-23, January.
- Mogens Fosgerau & Miroslawa Lukawska & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2022. "Bikeability and the induced demand for cycling," Papers 2210.02504, arXiv.org, revised Dec 2022.
- Mohamed Bayoumi Kamel & Tarek Sayed, 2021. "The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach," Environment and Planning B, , vol. 48(7), pages 2055-2072, September.
- Orvin, Muntahith Mehadil & Fatmi, Mahmudur Rahman & Chowdhury, Subeh, 2021. "Taking another look at cycling demand modeling: A comparison between two cities in Canada and New Zealand," Journal of Transport Geography, Elsevier, vol. 97(C).
- Li, Haojie & Zhang, Yingheng & Ding, Hongliang & Ren, Gang, 2019. "Effects of dockless bike-sharing systems on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 398-411.
- Zhao, Jiahui & Fan, Wei & Zhai, Xuehao, 2020. "Identification of land-use characteristics using bicycle sharing data: A deep learning approach," Journal of Transport Geography, Elsevier, vol. 82(C).
- Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
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