Understanding Spatiotemporal Station and Trip Activity Patterns in the Lisbon Bike-Sharing System

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationIntelligent Transport Systems, From Research and Development to the Market Uptake
Subtitle of host publication4th EAI International Conference, INTSYS 2020, Proceedings
EditorsAna Lúcia Martins, João C. Ferreira, Alexander Kocian, Vera Costa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages16-34
Number of pages19
ISBN (Print)9783030714536
DOIs
Publication statusPublished - 11 Mar 2021
Event4th EAI International Conference on Intelligent Transport Systems, INTSYS 2020 - Porto, Portugal
Duration: 3 Dec 20203 Dec 2020

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume364 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference4th EAI International Conference on Intelligent Transport Systems, INTSYS 2020
CountryPortugal
CityPorto
Period3/12/203/12/20

Keywords

  • Bike-sharing system
  • Cluster analysis
  • K-means
  • Mobility patterns
  • Statistical analysis
  • Urban mobility

UN Sustainable Development Goals (Under maintenance)

  • SDG 11 - Sustainable Cities and Communities

Fingerprint

Dive into the research topics of 'Understanding Spatiotemporal Station and Trip Activity Patterns in the Lisbon Bike-Sharing System'. Together they form a unique fingerprint.

Cite this