Publication in conference proceedings Q4
Understanding spatiotemporal station and trip activity patterns in the Lisbon bike-sharing system
Vitória Albuquerque (Albuquerque, V.); Francisco Andrade (Andrade, F.); Joao C Ferreira or Joao Ferreira (Ferreira, J. C.); Miguel Sales Dias (Dias, M. S.);
Intelligent transport systems, from research and development to the market uptake. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Year (definitive publication)
2020
Language
English
Country
Switzerland
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Abstract
The development of the Internet of Things and mobile technology is connecting people and cities and generating large volumes of geolocated and space-time data. This paper identifies patterns in the Lisbon GIRA bike-sharing system (BSS), by analyzing the spatiotemporal distribution of travel distance, speed and duration, and correlating with environmental factors, such as weather conditions. Through cluster analysis the paper finds novel insights in origin-destination BSS stations, regarding spatial patterns and usage frequency. Such findings can inform decision makers and BSS operators towards service optimization, aiming at improving the Lisbon GIRA network planning in the framework of multimodal urban mobility.
Acknowledgements
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Keywords
Bike-sharing system,Mobility patterns,Statistical analysis,Cluster analysis,K-means,Urban mobility
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia
UIDP/04466/2020 Fundação para a Ciência e a Tecnologia
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