Accelerating innovation in new mobility services: matching sustainable new business models to local potential.

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This is an exciting yet somewhat uncertain point of transition for the transport sector. The media frequently carries news stories on innovations in cleaner transport technologies (particularly electric vehicles) and visions for how people will travel in the future. These visions are dominated by new mobility services (NMS). They include sharing schemes for cars, bikes and taxis. All are based on Information and Communications Technology such as joining smartphones and apps, with vehicles and devices that are 'smart'. The other common feature is that NMS all have a connection to data and usually 'big data'. Smart cards and apps harvest data as do insurance telematics boxes in cars. Bikes from sharing schemes can be tracked with GPS, companies are basing their business models, pricing and marketing on harvested big data. Meanwhile government collects millions of MOT test certificates each year, and carries out travel surveys, CCTV cameras with number plate recognition are a common feature of many cities. This rapid digitisation and connectivity might help make better use of existing infrastructure, create new business opportunities change the way people own vehicles and pay for travel. There is some evidence that the way people choose to travel 'their mobility preferences' at least among the younger generation is changing. NMS might make travel easier and better for some groups of people in some places. These emerging changes could dramatically reduce energy demand from personal transport if certain issues are dealt with together. There has to be a reasonable potential market for a NMS to be viable but the local transport planners also have to understand how the NMS would affect the transport system and the workings of the city. To provide this understanding we need to know the relationships between local travel patterns such as where people live and where they need to get to, transport infrastructure (like the state of roads, railways and bike lanes), the social and demographic factors that affect whether a person can afford or physically get access to a NMS, the state of labour and job markets and where new vehicle technologies and services are available. If city planners or NMS providers do not examine the range of information about different issues, the new technologies and services could lead to lead to greater demand for mobility for example people might make more journeys and go further resulting in more transport energy use. NMS might only be offered in some areas where large numbers of customers could pay high prices, making it relatively harder for poor or rural areas to get access to services, jobs and other activities. There is also a potential problem that if governments and local authorities do not have appropriate policies and regulations in place to govern the gathering ownership and use of big mobility data, then there might be a loss of public control over data and the ability to steer developments to meet societal objectives. In other words, the risks are that the rapid arrival of such businesses could simply add to the familiar story that people are told that new products are energy efficient and thus sustainable but in actual fact they are not really sustainable because they have negative social and environmental impacts This project will take an 'interdisciplinary perspective' which means it will link and analyse data from government and private organisations but also work with transport policy makers to understand the local social and environmental issues that need to be considered to make changes in mobility in particular places work socially, economically and environmentally.