MobyApp
Image by MOBY X
Basic Information
Language
English
Latest update
Price
Free
Application time
Depends on data collection and model calibration
Assistance required
Experts in transport/mobility planning, experts in data management/processing, technical support
Assistance data
Activity-travel survey data, socio-economic data, transport network data, freight logistics data
Tool type
Method / Approach Mobile app Software
Application area
- Data gathering
- Analysis, scenarios and measure selection
- Appraisal and assessment
- Evaluation and monitoring
Target Audience
- Large cities
- Metropolitan regions
Summary
MobyApp allows the automatic creation of questionnaire surveys and citizens’ activity and travel diaries, the incorporation of nudging
techniques or incentives, and the monitoring and management of a data collection process personalised to the objectives of each project.
MobyApp allows the automatic creation of questionnaire surveys and citizens’ activity and travel diaries, the incorporation of nudging techniques or incentives, and the monitoring and management of a data collection process personalised to each project’s objectives. This technology offers an efficient way to prepare Sustainable Urban Mobility Plans, travel demand and activity-based models, and to understand citizens’ mode choices, attitudes and movements. MobyApp reduces survey duration and costs, minimises data collection errors, adapts sampling techniques to gather data based on specific triggers or conditions, and is fully customisable to the client’s needs. It has been used for travel demand data collection in Turin (IT), Oxfordshire (UK), Barcelona (SP) and the Aegean Islands region (GR).
Good Example
The HARMONY Model Suite (HMS) was successfully applied and validated in metropolitan areas, including Rotterdam (NL), Turin (IT), and Athens (GR). The applications used real-world data collected via the MobyApp (a separate smartphone-based travel survey tool) to calibrate the models. The HMS then simulated the multidimensional impacts of disruptive policies and new mobility concepts (like Autonomous Vehicles and MaaS integration) on passenger and freight transport, generating evidence-based recommendations for updating city Sustainable Urban Mobility Plans (SUMPs).
