Using data to drive mobility goals for the urban environment
Building more livable urban cities worldwide, governments are recognizing the need for introducing urban mobility networks. While the primary purpose of these vehicles is to deliver the users safety and efficiency from one location to the other, it is also essential to recognize that micromobility hugely affects the transportation landscapes. To be able to proactively cater to a safe and reliable micromobility network, cities need to understand their mobility ecosystem and adequately plan for expansions and adjustments. Collecting real-time data from various mobility providers, public transports, and automotive industry, and governmental road monitoring enables a large amount of data. Of course, with that comes learning. All this smart data supports thoughtful planning and regulations to establish a safe, convenient and healthy way of transportation in the future.
By evaluating the infrastructure, cities can learn about the demand, such as what hours of the day are the highest-demand rush hours, what roads have the most traffic jams, and from what neighborhoods commute the most people. Such data collection allows for analytics and planning of a most optimized infrastructure and catering to hot spots and implement improvements when and where it is necessary. Once the pain points in the transportation networks are understood, it is easier to offer specific solutions such as enriching the range of transportation services and building the most suitable micromobility networks to support the existing public transportation services.
Reduce traffic jams:
Collecting and analyzing data allows cities to plan the traffic better and reduce traffic jams. Traffic congestions cause a significant problem in big cities worldwide, and just by synchronizing traffic lights better citywide, a considerable improvement can be achieved.
Improve public safety:
By making travel time more predictable and adding more micromobility transportation options, fewer people are prone to travel by single-rider cars. When fewer cars are on the roads and the transportation network is regulated, we can expect fewer traffic accidents.
Mental health and sustainability:
Data used to coordinate ride-shares enables people to travel with others together, avoid daily, stressful driving experiences, and share transportation costs. This is another positive effect of smart urban mobility and effective planning.
Improved accessibility:
Understanding what the most common commute areas are, city leadership can implement more robust micromobility support in those areas to enable people to access their destination easier.
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