Data-Driven Methodology for Bike Route Identification to Enhance Urban Cycling Infrastructure in Metropolitan Manila
Author:
Affiliation:
1. Mapua University, Philippines
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3669754.3669761
Reference15 articles.
1. Data-driven quality assessment of cycling networks. (2023 March). ResearchGate. Retrieved February 3 2024 from https://www.researchgate.net/publication/369541650_Data-driven_quality_assessment_of_cycling_networs
2. Road infrastructures, spatial surroundings, and the demand and route choices for cycling: Evidence from a GPS-based mode detection study from Oslo, Norway
3. Desk R. (2022 January 21). Philippines: Cycling picks up in COVID-19 but transport woes persist. Reporting ASEAN - Voices and Views from Within Southeast Asia. https://www.reportingasean.net/philippines-cycling-picks-up-in-covid-19-but-transport-woes-persist/
4. Context-Aware Bicycle Route Planning
5. Grishina O.A Grishin A I & Строганов И.А. (2022). A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure. Statistika I Èkonomika 19(6) 10–20. https://doi.org/10.21686/2500-3925-2022-6-10-20
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