Tracking the evolution of public transport demand using spatial-social-temporal contexts

Rachel Cardell-Oliver, Prathyusha Sangam

Research output: Chapter in Book/Conference paperConference paper

Abstract

Changes in the way people live and move in cities is driving large investments in public transport infrastructure and services. Understanding long term evolution of demand is important for maximising the benefits of these investments. This short paper introduces an approach for highlighting changes in demand over time periods of several years. The main idea is to discover and explain distinctive contexts. The input data are trip logs from transport smart card tickets and a calendar feature database sourced from local web sources. Contexts comprise arrival counts over a set of days for a particular spatial region of the network and social type of traveller. Prose and visual representations of context pairs are used to explain how demand has evolved. Ground truth data of real-world events sourced from online reports is used to demonstrate that our approach accurately highlights and gives plausible explanations for changes in public transport demand.

Original languageEnglish
Title of host publicationBuildSys 2019 - Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
PublisherAssociation for Computing Machinery (ACM)
Pages179-182
Number of pages4
ISBN (Electronic)9781450370059
DOIs
Publication statusPublished - 13 Nov 2019
Event6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2019 - New York, United States
Duration: 13 Nov 201914 Nov 2019

Publication series

NameBuildSys 2019 - Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Conference

Conference6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2019
CountryUnited States
CityNew York
Period13/11/1914/11/19

Fingerprint Dive into the research topics of 'Tracking the evolution of public transport demand using spatial-social-temporal contexts'. Together they form a unique fingerprint.

Cite this