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Methodological guide on the use of mobile phone data: Tourism Statistics
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Methodological guide on the use of mobile phone data: Tourism Statistics
Created by
UNSD Clarence Lio
, last modified on
Nov 07, 2022
Table of Contents
1. Introduction
2. Background and context
2.1. Rationale for using MPD in tourism statistics
2.2. MPD for SDG indicators for tourism
3. Application and uses of MPD in tourism statistics
4. Basic considerations when using MPD for tourism statistics
4.1. Data quality, privacy and ethical aspects
4.2. Technical, financial and legal aspects
4.3. Limitations and caveats
5. Data sources, types and challenges
5.1. Data sources
5.1.1. Data from systems of MNOs
5.1.2. Data from social media
5.1.3. Other data sources – reference data
5.2. Appropriateness of MPD for tourism statistics
5.3. Challenges associated with MPD for tourism statistics
5.3.1. Data confidentiality
5.3.2. Data access
5.3.3. Drawback and noise in probing and signalling data
6. Key tourism and travel concepts and considerations
6.1. Basic concepts and approximation
6.2. Inbound tourism and travel statistics
6.3. Domestic tourism
6.4. Outbound tourism and travel statistics
7. Methodology
7.1. Estimating key variables
7.1.1. Usual environment
7.1.2. Detecting home/place of residence
7.1.2.1. Anchor Point Model
7.1.2.2. Cluster model
7.2. Country of residence
7.2.1. Identifying country of residence
7.3. Calculating trip (Stay point model).
7.4. Data Processing
7.4.1. Sources of error in MPD
7.4.2. Reducing errors of mobile positioning data
7.4.2.1. Detecting and removing seamen
7.4.2.2. Detecting and removing fast fliers (Airplane Passengers)
7.4.2.3. Detecting and removing Accidental Border Roaming
7.5. Data cleaning, review, and validation
7.5.1. Data cleaning and validation
7.5.1.1. Detection and removal of duplicates
7.5.1.2. Detection of Missing Data
7.5.1.3. Assigning Unique Identification to Antennae
7.5.2. Merging data from different MNOs
7.5.3. Trip generation
8. Quality Assurance
8.1. Quality dimension
8.2. Quality gates
8.2.1. Input quality gate
8.2.1.1. Quality Checks of Raw Data
8.2.1.2. Some examples of raw data checking result
8.2.2. Throughput quality gate
8.2.3. Output quality gate
9. Data checking, calibration and combining with other data sources
9.1. Integrating, comparing, calibrating MPD with other data sources
9.2. Data reconciliation
9.2.1. Reconciliation and mirror studies, cross country comparability and bilateral data exchanges
10. Best practices / case study
10.5. Georgia
10.4. Netherlands
10.3. Indonesia
10.2. Estonia
10.1. Austria
References
Methodological Guides on the use of mobile phone data
Displacement and Disaster Statistics
Dynamic Population Mapping
Measuring the Information Society
Migration Statistics
Tourism Statistics
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