Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2019.01.001 |
Crowdsourcing geo-information on landscape perceptions and preferences: A review | |
Bubalo, Martina1; van Zanten, Boris T.1; Verburg, Peter H.1,2 | |
2019-04-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING
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ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2019 |
卷号 | 184页码:101-111 |
文章类型 | Review |
语种 | 英语 |
国家 | Netherlands; Switzerland |
英文摘要 | This paper offers a summary of different crowdsourcing modes to collect geo-information on landscape perception & preferences and cultural ecosystem services. Crowdsourcing modes range from harvesting information passively transmitted by large groups on the web to actively engaging the crowd to generate data by using dedicated mobile apps and web-platforms. The latter, active crowdsourcing projects, were described in more detail by analysing the organizational variables of the twelve projects that were identified. Crowdsourcing has great potential to advance the field of landscape perception & preference research as it enables the in-situ collection of real-time, location-based data. One of the main limitations of reviewed active and passive crowdsourcing modes, lies in the fact that sample selection bias easily occurs and sample representativeness of any target population has been proven hard to achieve. Often crowdsourcing projects are implemented with a strong focus on technical aspects and content, but with insufficient attention for participant engagement. Projects would benefit from more inter- and transdisciplinary approaches and professionalizing campaigns, and thereby bringing participant engagement to the heart of the project. We recommend more attention to be placed towards awareness raising, diversification of formats and activities to reach a larger diversity of participants, structured tracking of performance indicators and learning from participants' feedback. Such strategies aim at enhancing participation and reducing bias in participant selection, which constrains the usefulness of the results for research, planning and policy. |
英文关键词 | Crowdsourcing Volunteered geographic information Landscape preferences Landscape perception Cultural ecosystem services |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000458468500010 |
WOS关键词 | CULTURAL ECOSYSTEM SERVICES ; VOLUNTEERED GEOGRAPHIC INFORMATION ; SOCIAL MEDIA ; SPATIAL-ANALYSIS ; AESTHETIC VALUE ; MOTIVATIONS ; QUALITY ; PARTICIPATION ; APPRECIATION ; PERSPECTIVES |
WOS类目 | Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25216 |
专题 | 资源环境科学 |
作者单位 | 1.Vrije Univ Amsterdam, Inst Environm Studies, Environm Geog Grp, Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands; 2.Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, Birmensdorf, Switzerland |
推荐引用方式 GB/T 7714 | Bubalo, Martina,van Zanten, Boris T.,Verburg, Peter H.. Crowdsourcing geo-information on landscape perceptions and preferences: A review[J]. LANDSCAPE AND URBAN PLANNING,2019,184:101-111. |
APA | Bubalo, Martina,van Zanten, Boris T.,&Verburg, Peter H..(2019).Crowdsourcing geo-information on landscape perceptions and preferences: A review.LANDSCAPE AND URBAN PLANNING,184,101-111. |
MLA | Bubalo, Martina,et al."Crowdsourcing geo-information on landscape perceptions and preferences: A review".LANDSCAPE AND URBAN PLANNING 184(2019):101-111. |
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