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Title A Data Fusion Approach with Mobile Phone Data for Updating Travel Survey-Based Mode Split Estimates
Authors Eduardo Graells, Daniela Opitz, Francisco Rowe, Jacqueline Arriagada
Publication date October 2023
Abstract Up-to-date information on different modes of travel to
transport traffic and evaluate rapid urban transport planning interventions
is often lacking. Transport systems typically rely on traditional data
sources providing outdated mode-of-travel data due to their data latency,
infrequent data collection and high cost. To address this issue, we propose
a method that leverages mobile phone data as a cost-effective and rich
source of geospatial information to capture current human mobility patterns
at unprecedented spatiotemporal resolution. Our approach employs mobile
phone application usage traces to infer modes of transportation that are
challenging to identify (bikes and ride-hailing/taxi services) based on
mobile phone location data. Using data fusion and matrix factorisation
techniques, we integrate official data sources (household surveys and census
data) with mobile phone application usage data. This integration enables us
to reconstruct the official data and create an updated dataset that
incorporates insights from digital footprint data from application usage. We
illustrate our method using a case study focused on Santiago, Chile
successfully inferring four modes of transportation: mass-transit (all
public transportation), motorised (cars and similar vehicles), active
(pedestrian and cycle trips), and taxi (traditional taxi and ride-hailing
services). Our analysis revealed significant changes in transportation
patterns between 2012 and 2020. We quantify a reduction in mass-transit
usage across municipalities in Santiago, except where metro/rail lines have
been more recently introduced, highlighting added resilience to the public
transport network of these infrastructure enhancements. Additionally, we
evidence an overall increase in motorised transport throughout Santiago,
revealing persistent challenges in promoting urban sustainable
transportation. Findings also point to a rise in the share of taxi usage,
and a drop in active mobility, suggesting a modal shift towards less
sustainable modes of travel. We validate our findings comparing our updated
estimates with official smart card transaction data. The consistency of
findings with expert domain knowledge from the literature and historical
transport usage trends further support the robustness of our
Pages article 104285
Volume 155
Journal name Transportation Research Part C: Emerging Technologies
Publisher Elsevier Science (Amsterdam, The Netherlands)
Reference URL View reference page