Feel Old Yet? Updating Mode of Transportation Distributions from Travel
Surveys using Data Fusion with Mobile Phone Data
- URL: http://arxiv.org/abs/2204.09482v3
- Date: Tue, 30 May 2023 22:09:03 GMT
- Title: Feel Old Yet? Updating Mode of Transportation Distributions from Travel
Surveys using Data Fusion with Mobile Phone Data
- Authors: Eduardo Graells-Garrido, Daniela Opitz, Francisco Rowe, Jacqueline
Arriagada
- Abstract summary: Transport systems typically rely on traditional data sources providing outdated mode-of-travel data.
We propose a method that leverages mobile phone data as a cost-effective rich source of geospatial information.
Our analysis revealed significant changes in transportation patterns between 2012 and 2020 in Santiago, Chile.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Up-to-date information on different modes of travel to monitor 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outdated mode-of-travel data due to their data latency, infrequent data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 factorization 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, motorised, active, and taxi. 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. We validate our findings comparing our
updated estimates with official smart card transaction data.
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