Transport
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.
.svg)
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.
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.
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.
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.
WHAT OUR CUSTOMER SAY.
As a data scientist at Werner, we needed to analyze the impact of a new trucking terminal on our network of 35,000 vehicles. Predicting the effect of a new terminal is incredibly complex due to the abundant geospatial constraints. CARTO has been instrumental in helping us overcome this challenge and streamline our analysis process
David Cavanaugh
,
Data Scientist at Werner
As a data scientist at Werner, we needed to analyze the impact of a new trucking terminal on our network of 35,000 vehicles. Predicting the effect of a new terminal is incredibly complex due to the abundant geospatial constraints. CARTO has been instrumental in helping us overcome this challenge and streamline our analysis process
David Cavanaugh
,
Data Scientist at Werner
I've been making use of the much more interactive sharing capabilities of CARTO compared to ESRI, and it has been well received by the organization.
Leo Coussement
,
Senior Strategy Analyst at MAG
Working with NGIS and the CARTO platform has made our day-to-day work more safe and efficient. We’ve overcome field challenges relating to asset identification and ensuring works are reported correctly.
Todd Munro
,
Asset Management Systems Coordinator at ConnectEast
CARTO has allowed us to tackle complex challenges relating to road accident analysis in London and much more. Working with their cloud-native platform has been a transformative experience, making it faster for us to visualize large-scale geospatial data and quickly deliver insights to different areas of our business, partners, and clients.
Val Ismaili
,
Transport Planner at ARUP
CARTO has allowed us to tackle complex challenges relating to road accident analysis in London and much more. Working with their cloud-native platform has been a transformative experience, making it faster for us to visualize large-scale geospatial data and quickly deliver insights to different areas of our business, partners, and clients.
Val Ismaili
,
Transport Planner at ARUP
TALK TO US
Request a Demo
Schedule a 20 minute meeting with our experts to understand how you can use spatial analysis in your organization.