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Mobility

Optimizing transport infrastructure spatially is key to the future of mobility. The most efficient cities are moving away from traditional methods to analyze new data for a greener future.

Trusted by the world's leading transport companies

Mobility Planning

Optimizing public transport infrastructure, such as bikes, buses, trains, & metro services, is paramount in order to reduce traffic & improve road safety. Analyzing commuter patterns through origin-destination matrices & spatial models allows cities to provide the right services to the people who need it most.

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Road Safety Analysis

Road Safety Analysis

With a wide range of data streams now available from a rapidly growing number of sensors & GPS devices, we can now understand the health of our road networks at a deeper granularity than ever before.

To make our cities safer & more efficient, local governments need to apply Spatial Data Science methodologies, going beyond the analysis of historical data, to predicting the probability of incidents by location.

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Traffic Management

Traffic jams cost the US a staggering $87 billion in lost productivity per year. Citizens in every city now use data from smartphones & embedded satellite navigation to work around traffic. Yet only a handful of local governments are fully capturing the value of new location data streams & spatial analysis to optimize their city traffic management operations & reduce CO2 emissions.

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Citizen Services

Providing real-time & crowdsourced insights on transport networks to citizens via intuitive solutions has become a key pillar of urban mobility strategies. Gathering & visualizing spatial data through simple Open Data web applications enables citizens to share information on road safety, congestion, & much more - allowing them to make more informed mobility decisions.

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