Titlebook: Big Data for Urban Sustainability; A Human-Centered Per Stephen Jia Wang,Patrick Moriarty Book 2018 Springer International Publishing AG, p

階層

Barriers to the Implementation of Big Data,s use of both big and small data. The barriers for some applications, particularly those based on personal data, will for some time be greater in the cities of many industrialising countries than in OECD cities.

發(fā)起

失望未來

Sensing Inside Living Cells and Tissues, However, in future, householders could well be both consumers . producers of energy (for example, from rooftop PV cell arrays). Householders will inevitably become far more aware than they are now of the price of electricity and how this varies over time.

gruelling

Obituary

Fluorescence Detection Techniques, Specifically, how can big data encourage modal shift from cars to more environmentally friendly modes, and reduce vehicular transport overall through better trip planning? The chapter also includes a case study of a ‘personal transport planner’ designed for use in Beijing, based on the idea of a monthly personal transport energy quota.

凈禮

Introduction to Fluorescence Sensinghat the world of 2050 might look like, assuming that nations seriously tackle the global environmental and resource problems the planet increasingly faces. We then explore the possible role of big data in the cities of such a world, both in OECD and non-OECD countries, both in the transition period and later.

Subdue

Big Data for Sustainable Urban Transport, Specifically, how can big data encourage modal shift from cars to more environmentally friendly modes, and reduce vehicular transport overall through better trip planning? The chapter also includes a case study of a ‘personal transport planner’ designed for use in Beijing, based on the idea of a monthly personal transport energy quota.

額外的事

,Big Data for a?Future World,hat the world of 2050 might look like, assuming that nations seriously tackle the global environmental and resource problems the planet increasingly faces. We then explore the possible role of big data in the cities of such a world, both in OECD and non-OECD countries, both in the transition period and later.

轎車

緩解