Data & Materials

• Cuebiq

  The dataset contains spatiotemporal information on a vast number of smartphones. Data are recorded following a time or a space criterion, depending on the operating system of the particular device. An anonymised ID is associated to every device and each observation is captured in terms of a GPS position and of a time accuracy up to the second. This, in turn, allows for the analysis of the trajectories of users and to extract knowledge on issues of human mobility such as traffic and an assessment of the public transport infrastructure that is most needed. The dataset is constructed and maintained by the Data for Good division of Cuebiq. The dataset exemplifies at best the capabilities of modern-day devices, together with the new challenges. The privacy of users is guaranteed by correcting their location whenever in proximity of a sensitive position (workplace, house, hospitals, …) and by ensuring that it is impossible to identify the actual owner of the device. At the same time, it shows how the collective aggregation of individual data can be leveraged by public policy planners to acquire information about local populations that would be otherwise impossible to obtain.

• Health facilities

  Data are provided by the official GIS portal of the Mozambican Ministry of Transport.

• High Resolution Settlement Layer (HRSL)

  Identify buildings distribution at a resolution of 1 arc-second (approximately 30 meters). This data is crucial for Maputo, where the distribution of the population has a very low detail.

• OSM Road Network

• Financial services (POS, ATM, Banks, Money exchange)

• Education system

• Google Earth Imagery

• Performance Measurement System for Formal Mobility and Paratransit in Sub-Saharan Africa

  Table 1. Literature review

• Performance Measurement System for Formal Mobility and Paratransit in Sub-Saharan Africa

  Table 2. Performance indicators

Master Theses

• Performance Measurement System for the Transportation Sector in Sub-Saharan Countries

  Elena Castelli

• A data-driven approach for continuous behavior monitoring in healthcare

  Alessandro Perego

• Urban mobility network-based models from global positioning system data. Geolocalized origin-destination matrices and two-mode lines networks

  Celeste Principe

• Estimation and analysis of origin destination matrices from global positioning system data

  Irene Azzini

• Automatic transport mode detection based on global positioning system data. Analysis of informal mobility in the city of Maputo

  Artem Ugarov

• Accessibility maps from global positioning system data. Two case studies: Maputo and Milan

  Elena Zazzetti

• Data governance

  Kiarash Pooladsaz