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Erschienen in:
Mobile Ticketing Customers: How to Attract Them and Keep Them Loyal Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

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

verfasst von : Vitória Albuquerque, Francisco Andrade, João Carlos Ferreira, Miguel Sales Dias

Erschienen in: Intelligent Transport Systems, From Research and Development to the Market Uptake

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Mobile Ticketing Customers: How to Attract Them and Keep Them Loyal
Nächstes Kapitel A Context-Sensitive Cloud-Based Data Analytic Mobile Alert and Optimal Route Discovery System for Rural and Urban ITS Penetration
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Metadaten
Titel
Understanding Spatiotemporal Station and Trip Activity Patterns in the Lisbon Bike-Sharing System
verfasst von
Vitória Albuquerque
Francisco Andrade
João Carlos Ferreira
Miguel Sales Dias
Copyright-Jahr
2021
Buch
Intelligent Transport Systems, From Research and Development to the Market Uptake

Print ISBN: 978-3-030-71453-6

Electronic ISBN: 978-3-030-71454-3

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-71454-3_2

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