A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Location
2.2. GPS Dataset
2.3. Mobility Index
Algorithm 1 Pseudocode for k-medians |
3. Results
3.1. Monthly Zonal Speed Thresholds
3.2. Monthly Zone-Based Speed Index
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Property | Measure |
---|---|
Position uncertainty | 5 m |
Interval of data logging | 30 s (stationary)/100 m or 45 heading change (in motion) |
Speed resolution | 0.1 km/h |
Vehicle Category | Count |
---|---|
Taxi | 399 |
Jeepney | 61 |
Government | 37 |
Private | 3 |
Total | 500 |
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Liponhay, M.; Valenzuela, J.F.; Dorosan, M.; Dailisan, D.; Monterola, C. A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City. Appl. Sci. 2023, 13, 12763. https://doi.org/10.3390/app132312763
Liponhay M, Valenzuela JF, Dorosan M, Dailisan D, Monterola C. A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City. Applied Sciences. 2023; 13(23):12763. https://doi.org/10.3390/app132312763
Chicago/Turabian StyleLiponhay, Marissa, Jesus Felix Valenzuela, Michael Dorosan, Damian Dailisan, and Christopher Monterola. 2023. "A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City" Applied Sciences 13, no. 23: 12763. https://doi.org/10.3390/app132312763
APA StyleLiponhay, M., Valenzuela, J. F., Dorosan, M., Dailisan, D., & Monterola, C. (2023). A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City. Applied Sciences, 13(23), 12763. https://doi.org/10.3390/app132312763