Reconstructing Origin / Destination mobility patterns by integrating traditional surveys and big data

THE PROJECT

How can algorithms and mobile data shape the future of tourism and mobility statistics?

Motion Analytica, in collaboration with ISTAT and Vodafone Business, helped develop an experimental project aimed at investigating key issues related to tourism and mobility through the use of Big Data.

The details of the case study on mobility are described here. For the case study on tourism click here.

ANALYSIS
Mobility flow and tourism analysis

This project has been presented at the 14th National Statistics Conference (Rome, Nov. 30–Dec. 1, 2021), which is the main research meeting of the National Statistical System, where data producers and users are given the opportunity to discuss the role and future developments of official statistics.

MAIN RESULTS

01.

Mobility behaviour analysis

The analytical approach made it possible to investigate various aspects of human mobility, from comparing populations estimated through mobile network data with official resident records to revising commuting patterns.

02.

Updatable Origin/Destination matrices

The methodology enabled the creation of Origin/Destination matrices with different levels of territorial detail and faster update times compared with traditional approaches.

03.

Integration of traditional surveys and Big Data

The project explored the relationship between information collected through traditional surveys and data derived from statistical inferences based on Big Data.

04.

New mobility indicators

The implemented methodology laid the foundations for new analytical tools capable of estimating additional mobility indicators, such as the means of transport used for travel.

You can view the poster presented at the conference containing full details here:

THE ANALYSIS

The project involved the analysis of mobility of the whole territory of Lombardy, and in particular the province of Milan. The collaboration between ISTAT and Vodafone Italy made it possible to define an innovative data-processing framework and to test a new census strategy for mobility through the integration of new information sources.

The main goal was to create an Origin/Destination (O/D) matrix using anonymized mobile data to understand how people move during the week, as well as provide insights into their demographic profile and purpose of their travel.

The analysis covered a period of 3 months and several hundreds of areas, according to two main aspects:

Population analysis

Analysis of travel and commuting

The municipalities were aggregated into four groups based on the number of inhabitants, and all users who commuted between them.

All the data from telecom sources regarding travel and commuting in the Lombardy were compared with official ISTAT sources in order to assess the potential of the methodology.

Change the way you interpret human mobility!