Movement analytics for sustainable mobility

被引:7
作者
Miller, Harvey J. [1 ]
机构
[1] Ohio State Univ, Dept Geog, Ctr Urban & Reg Anal, Columbus, OH 43210 USA
关键词
movement analytics; mobility science; animal movement ecology; sustainable mobility; urbanity; SCIENCE; TIME; ACCESSIBILITY; SIMILARITY; EXPOSURE; PRISMS; CITY; GPS;
D O I
10.5311/JOSIS.2020.20.663
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
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.
引用
收藏
页码:115 / 123
页数:9
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