APP FEATURES
Dashboard
The rMove home screen shows available surveys and completion status.
WHAT IS rMOVE?
rMove is the world's most accurate approach for location-aware market research.
Mobile data collection is now the state of the practice. Spatially intelligent smartphone surveys are:
Since its launch in 2014, more than 150,000 users have completed an rMove study in over 10 languages. With a dedicated team of developers, rMove continues to improve and remains customizable for measuring ongoing changes in day-to-day travel behavior. rMove is a flexible platform that can be the sole method of data collection. It can also be used in concert with a multimodal survey or mobility data project.
Experts in market research, modeling and analytics, and software engineering built rMove with a focus on usability and an obsession with data quality.
The result? An app that raises the bar on measuring mobility and behavior. rMove is the simplest, most accurate approach for conducting location-aware market research.
FEATURES
APP FEATURES
Trip Overview
Trip surveys first orient users before asking detailed questions about how they traveled and why they made the trip. They do this by showing the trip origin and destination on a map.
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Trip Survey
Trip surveys can ask a range of questions about users’ trips, including trip purpose, travel party, parking information, and electric vehicle charging.
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Daily Survey
Daily surveys can ask day-specific or typical behavior questions, including time spent teleworking, deliveries to home, and energy consumption at home.
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User-Friendly Features
Helpful tutorials highlight features to help users navigate the app. A dedicated user support team is available to answer respondent questions or to help troubleshoot.
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Passive Data Collection
Several smartphone sensors—including GPS, accelerometer, compass, and Wi-Fi—passively capture users’ movements. rMove then securely transmits this data to cloud-based servers.
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rMove Intelligence
Using intelligent algorithms, rMove lowers respondent burden by predicting responses for regular and common journeys. It can even detect unique travel behaviors, like brief stops for school or work drop-offs and short walks to transit points.
