Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times
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DOI: 10.1016/j.jtrangeo.2015.08.006
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- Beria, Paolo & Debernardi, Andrea & Ferrara, Emanuele, 2017. "Measuring the long-distance accessibility of Italian cities," Journal of Transport Geography, Elsevier, vol. 62(C), pages 66-79.
- Chen, Yu & Lu, Yuqi & Jin, Cheng, 2024. "Spatiotemporal differentiation calendar for car and truck flow on expressways: A case study of Jiangsu, China," Journal of Transport Geography, Elsevier, vol. 116(C).
- Borja Moya-Gómez & María Henar Salas-Olmedo & Juan Carlos García-Palomares & Javier Gutiérrez, 2018. "Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness," Networks and Spatial Economics, Springer, vol. 18(2), pages 273-290, June.
- Yuehong Chen & Yuyu Li & Guohao Wu & Fengyan Zhang & Kaixin Zhu & Zelong Xia & Yu Chen, 2021. "Exploring Spatiotemporal Accessibility of Urban Fire Services Using Real-Time Travel Time," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
- Yang, Wenyue & Chen, Bi Yu & Cao, Xiaoshu & Li, Tao & Li, Peng, 2017. "The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 21-32.
- Foissaud, Nicolas & Gioldasis, Christos & Tamura, Shun & Christoforou, Zoi & Farhi, Nadir, 2022. "Free-floating e-scooter usage in urban areas: A spatiotemporal analysis," Journal of Transport Geography, Elsevier, vol. 100(C).
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Keywords
Commuting; Public transport; Floating Car Data; Circular statistics; GIS; Flanders (Belgium);All these keywords.
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