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Sustainable Urban Air Mobility Supported with Participatory Noise Sensing

doi: 10.3390/su12083320
In about 15 years, there is likely to be urban air mobility (UAM) in larger cities across the globe. Air taxis will provide on-demand transportation for individual needs. They will also connect important transportation nodes, such as airports and city centers, as well as providing quick transfers between train stations or a convenient option for crossing rivers and lakes. It is hoped that UAM will help meet today’s political targets of sustainability and decarbonization. However, there are certain threats that could impede the sustainable and thus successful introduction of UAM to our cities, with noise being a prominent limitation. This paper argues that citizens have to be viewed as stakeholders in urban air transportation, regardless of whether they or not intend to use it, and that a concept of resident participatory noise sensing (PNS) will be beneficial to the implementation of UAM. Web-based services and smartphones facilitate the access and updating of current information about local noise distributions, thus enabling them to be used to foster UAM in smart cities.
- German Aerospace Center Germany
TJ807-830, participatory noise sensing, smartphone, TD194-195, air taxi, Renewable energy sources, noise annoyance, GE1-350, Luft- und Raumfahrtpsychologie, transportation, urban air mobility, Environmental effects of industries and plants, Environmental sciences, acceptance
TJ807-830, participatory noise sensing, smartphone, TD194-195, air taxi, Renewable energy sources, noise annoyance, GE1-350, Luft- und Raumfahrtpsychologie, transportation, urban air mobility, Environmental effects of industries and plants, Environmental sciences, acceptance
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).29 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
