Public participation GIS for improving wood burning emissions from residential heating and urban environmental management

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Mapita Ltd.
  • Norwegian Institute for Air Research

Abstract

A crowdsourcing study supported by a public participation GIS tool was designed and carried out in two Norwegian regions. The aim was to improve the knowledge about emissions from wood burning for residential heating in urban areas based on the collection of citizens’ localized insights. We focus on three main issues: 1) type of dwelling and residential heating source; 2) wood consumption and type of wood appliances; and 3) citizens’ perception of the urban environment. Our study shows the importance of wood burning for residential heating, and of the resulted particle emissions, in Norwegian urban areas. Citizens’ localized insights on environmental perception highlight the areas in the city that require particular attention as part of clean air strategies. Information about environmental perception is combined with existing environmental data showing certain correlation. The results support the urban environmental management based on co-benefit approaches, achieving several outcomes from a single policy measure. Measures to reduce urban air pollution will have a positive impact on the citizens’ environmental perception, and therefore on their quality of life, in addition to reducing the negative consequences of air pollution on human health. The characterization of residential heating by fuelwood is still a challenging activity. Our study shows the potential of a crowdsourcing method as means for bottom-up approaches designed to increase our knowledge on human activities at urban scale that result on emissions.

Details

Original languageEnglish
Pages (from-to)179-188
Number of pages10
JournalJournal of Environmental Management
Volume191
Publication statusPublished - 15 Apr 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • Co-benefit, Crowdsourcing, Fuelwood, Public participation GIS, Urban emissions

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ID: 10573754