Abstract: Mobility is central to urbanity, and urbanity is central to our common future as the world’s population crowds into urban areas. This is creating a global urban mobility crisis due to the unsustainability of our 20th century transportation systems for an urban world. Fortunately, the science and planning of urban mobility is transforming away from infrastructure as the solution towards a sustainable mobility paradigm that manages rather than encourages travel, diminishes mobility and accessibility inequities, and reduces the harms of mobility to people and environments. In this essay, I discuss the contributions over the past decade of movement analytics to sustainable mobility science and planning. I also highlight two major challenges to sustainable mobility that should be addressed over the next decade.
Keywords: movement analytics, mobility science, animal movement ecology, sustainable mobility, urbanity
What would it be like to live in a city administered using the business model of Amazon (or Apple, IKEA, Uber,…)? A new book playfully combines speculative fiction and analysis of 38 different business models when applied to running cities of the future. How to Run a City Like Amazon, and Other Fables, edited by Mark Graham, Rob Kitchin, Shannon Mattern and Joe Shaw, is available in paperback and PDF from Meatspace Press.
My contribution to the book, Cities Need Mass Transit, shows how a highly personalized transportation system envisioned by Tesla and Elon Musk cannot possibly scale to be an effective urban mobility solution.
On July 15-16 2019, a diverse group of university researchers and community stakeholders from Columbus, Ohio and Portland, Oregon participated in a workshop to explore issues surrounding new mobility technologies, sustainable urban systems and data. This event was organized in response to the National Science Foundation Dear Colleague Letter (NSF 19-032; “Concepts for Advancing Sustainable Urban Systems (SUS) Research Networks”) released in December 2018.
Deeper scientific understanding of cities and more nuanced, effective sustainability policy and planning interventions are crucial as we move towards an almost completely urbanized planet by the end of the 21st century. A pressing concern are questions and needs relating to new technology-enabled services that are disrupting the mobility landscape of cities. Urban mobility is experiencing a revolution, much of it driven by the private sector, with new technologies and services involving light individual transport (e.g., scooters), shared vehicles, microtransit, mobility as a service and eventually connected and autonomous vehicles. The impacts of the new mobility revolution on urban sustainability is uncertain: similar to the introduction of cars and highways in the early 20th century, it is possible that mobility technologies and services that individually appear to be sustainable and beneficial may collectively reshape cities to have larger environmental footprints, greater inequality and/or less economic flexibility and resilience.
Urban sustainability data observatories (USDOs) are a means for persistent, ongoing data collection, archiving and analysis to enable new knowledge about complex human and coupled human-natural systems, such as cities. They integrate many of the diverse elements that are needed to significantly advance sustainable urban systems (SUS) science. Importantly, they support new data and methods for understanding current SUS drivers and interactions, advancing comparative studies, developing the science to model the future of SUS, and fostering the science of knowledge co-production. USDOs can also facilitate more sensitive and nuanced understanding of how context and history shape the outcomes of policy and planning interventions in complex urban systems. Finally, they can go beyond observation to enable platforms and processes for data-enabled engagement and discussions among heterogeneous stakeholders concerned with the environmental, social and economic future of their community.