Abstract
The constant rise of urban mobility and transport has led to a dramatic increase in greenhouse gas emissions. In order to ensure livable environments for future generations and counteract climate change, it will be necessary to reduce our future CO2 footprint. Spatial data science contributes to this effort in major ways, also fuelled by recent progress regarding the availability of spatial big data, computational methods and geospatial technologies. This paper demonstrates important contributions from Spatial data science to mobility pattern analysis and prediction, context integration, and the employment of geospatial technologies for changing people's mobility behavior. Among the interdisciplinary research challenges that lie ahead of us are an enhanced public availability of mobility studies and their data sets, improved privacy protection strategies, spatially-aware machine learning methods, and evaluating the potential for people's long-term behavior change towards sustainable mobility.
Highlights
Our world is currently facing dramatic problems, such as major effects of climate change, spread of diseases, overconsumption of goods, a lack of universal access to quality education, and poverty
The constant rise of urban mobility and transport has led to a dramatic increase in greenhouse gas emissions
Spatial data science contributes to this effort in major ways, fuelled by recent progress regarding the availability of spatial big data, computational methods, and geospatial technologies
Summary
Our world is currently facing dramatic problems, such as major effects of climate change, spread of diseases, overconsumption of goods, a lack of universal access to quality education, and poverty. One of the key problems, which directly and indirectly impacts many facets of our lives, is the constant increase of urban mobility and transport. They have brought major c by the author(s). Electric vehicles may utilize smart charging strategies, i.e., on the one hand consume fluctuating electricity production such as from photovoltaics, and on the other hand recharge the grid through vehicle-to-grid applications [18] Optimizing such strategies involves sophisticated spatio-temporal mobility pattern analysis to evaluate real-time situations and making predictions regarding future states [4]. Location based services [11] and other mobile technologies support people in their spatio-temporal decision-making, potentially leading to increased sustainability and curbing greenhouse gas emissions
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
