Making city planning smarter with mobility data analytics
Key takeaways
- Mobility data beats traditional sensors: Captures real-world movement for better planning.
- Pinpoint danger zones. Driving behavior data helps improve road safety.
- Optimize transit. Reveals commuter patterns for smarter routes and schedules.
- Gain cost-effective insights. Scalable data better informs city infrastructure decisions.
Introduction
Sustainable cities depend on better urban transportation — but in dense areas, understanding how people actually move is hard when methods are slow or narrow.
Mobility data analytics can surface traffic patterns and support planning for road safety and public transit.
The challenges of city planning without sufficient traffic data
Urban planners understand the changing behaviors of their city’s population. But without an accurate view into how people travel within the city, planners risk the misallocation of resources and the misalignment of transportation infrastructure. That’s why data plays a critical role in the evolution of a city’s technology. However, not all data collection methods provide good value or insight.
For example, cities typically collect traffic data through roadside devices. But unlike mobility data, these devices don’t take into account all commuters or modes of transportation. Mobility data, on the other hand, tracks people’s movement, whether they’re driving a car, using public transit, riding a scooter or bike, or even walking. This gives urban planners a more complete picture when making important decisions.
How city planners can keep roads safer with mobility data analytics
Mobility data surfaces important information about driving risks like hard braking, hard acceleration, extreme speeding, and crashes. By better understanding areas of risk, corporations and governments can identify ways to make roads safer through improved technology and infrastructure.
- Signage: If a blocked speed-limit sign correlates with speeding, relocate it for visibility.
- Road hazards: Frequent hard braking can flag defects or dangerous conditions.
- People-focused safety: Collision-prone corridors can justify traffic-calming measures for pedestrians, cyclists, and drivers.
By better understanding areas of risk, corporations and governments can identify ways to make roads safer through improved technology and infrastructure.
Informed public transportation and ridesharing
Mobility intelligence helps cities better understand how people move, providing the insight necessary for public transportation innovation. This data can support public transit initiatives for more cost-efficient and convenient transportation services. And by aligning transportation services with commuter habits and needs, cities can reduce wasted tax dollars while lowering transportation costs.
Private mobility benefits too: Rideshare operators can use mobility intelligence to recruit and retain safer drivers, run more efficiently, and reduce liability exposure — supporting decisions that help manage insurance costs and profitability.
The power of our mobility intelligence solutions
Arity’s unique insights into how, when, and why people move helps traffic safety professionals and businesses discover and better prioritize opportunities for innovation. Mobility data is an efficient and cost-effective way to gain a complete picture of what’s going on on the ground, making high-level city planning more informed and effective.