How Location Data Will Affect the Future of Urban Mobility
As cities across the world continue to grow in population, density and economic diversity, urban planners are looking for ways they can use data to better design cities for all inhabitants. Currently, over 50 per cent of the world’s population lives in urban areas, with an expected two thirds of the world’s population to live in cities by 2050.
With growth of that size on the horizon, many planners and city systems developers are especially focused on the future of mobility. How are we able to connect the ways people move and predict the needs of our mobility systems? Traditionally, the only data collected was by roadside surveys, which of course did not provide a comprehensive picture of the multimodal ways people commute.
Data collection in mobility is essential to creating a functioning city that works for all methods of transportation – both for people and goods. As the use of connectivity and autonomy increases, the need for data and insights provided through blockchain technology increases as well. This provides a major opportunity for new innovations to improve mobility across the globe.
For tech companies, three proposed mobility models provide a chance to disrupt the current industry. These mobility models have the potential to demonstrate profound effects of mobility innovation on everything from large-scale systematic urban planning to the use of public space and are achievable as early as 2030.
Clean and Shared
The first mobility model focuses on cities shifting to cleaner methods of transport, which includes increased use of electric vehicles, optimizing shared mobility while decreasing the number of private vehicles, and increased public transport systems. Through this model both traffic flows and safety could be improved in conjunction with connectivity and autonomy. This model would work in cities in developing countries with densely populated urban centres, such as Delhi and Mexico City.
Private Autonomy
Due to urban sprawl and commuting patterns in the development of cities, the second mobility model focuses on the increase of self-driving cars and other autonomous electric vehicles. Connectivity could make it easier to plan routes around traffic and congestion, which would in turn increase the efficiency of existing infrastructure rather than building more. Ride sharing and ride hailing would act as complementary systems to support the use of autonomous vehicles. This model is proposed for large, car-centric cities such as Los Angeles.
Seamless Mobility
The third proposed mobility model is predominantly door to door and on demand, relying heavily on the integration of self-driving shared vehicles, a strong public transportation system and electric vehicles. A mix of clean, cheap and flexible mobility options are enabled through the use of smart software platforms. This final proposed model is most likely to emerge in cities that are both densely populated and predominantly high-income, such as London or Singapore.
Consumer Adoption
In order for these proposed models to be successfully driven by mobility data, citizens have to be open to adopting new technologies and services provided by their city’s organizations. While there may be some aversion to the idea of data collection when it is formally introduced, the use of data in cities is essential in improving mobility for all.
One company, Fysical, is supporting technological innovations through the use of location data. The world’s first decentralized and largest crypto-powered data protocol helps cities, companies and other organizations better understand how people move within their world. Fysical’s location data and insights, such as foot and traffic sensors and commute route tracking, can support technological innovations that promote electrification, connectivity, and autonomy.
How does Fysical work?
As a data market, Fysical provides the platform and insights for sharing location data by connecting data suppliers and data buyers. Essentially, a data supplier could be you or me – anyone that is willing to provide data to Fysical for payment in FYS token. The data available for sale is always owned by the supplier and stored securely on blockchain technology, for additional ease of sale and increased security.
The data buyers would then pay FYS tokens for location data provided by suppliers, in this example perhaps the data buyer would be an urban planner or a city’s governing body. Data buyers can then use the data they purchased to better plan for the movement of people, such as installing new infrastructure on the most congested routes based on car and pedestrian traffic flow data. Through secure interactions recorded on the blockchain, suppliers can stay in control of the data they are providing and buyers can trust that the data they’ve purchased is reliable and accurate.
Fysical aims to support technological innovations that promote the three mobility trends of electrification, connectivity, and autonomy. As our global urban centres continue to become denser and more diverse, the need for smarter mobility planning is essential. Through the implementation of location data collection and blockchain technology, urban planners can finally begin to understand and prepare for the future of urban mobility.
This article was written by Hayley Davison.
Posted from my blog with SteemPress : https://cryptofizz.com/how-location-data-will-affect-the-future-of-urban-mobility/