当前位置: X-MOL 学术Cities › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using photovoice and emotional maps to understand transitional urban neighborhoods
Cities ( IF 6.077 ) Pub Date : 2021-07-28 , DOI: 10.1016/j.cities.2021.103353
Mahbubur R. Meenar 1 , Lynn A. Mandarano 2
Affiliation  

The built environment influences our use and experience of place, as well as emotions and well-being. It is important to understand how people associate emotions with urban places, or create “subjective” urban experiences in order to regenerate neighborhoods that are sensitive to our mental and emotional health and well-being. In this study, we analyzed photovoice-generated photos (n = 265), focus group and interview transcripts, and emotional maps as part of a brownfield revitalization planning effort in a post-industrial transitional neighborhood of Philadelphia, USA. We coded 13 themes to represent places, spaces, or topics and documented eight primary emotions associated with the photos. Joy was the most mentioned emotion, although the total number of negative emotions (e.g., sadness, anger, and disgust) far exceeded positive ones. Emotional maps revealed positive and negative hotspots and displayed how a single location or topic could trigger multiple contrasting or complementary emotions. A major contribution of this study is its methodological novelty of creating emotional maps with data collected from photovoice, interviews, and focus groups. Another contribution is an innovative community engagement approach involving underrepresented stakeholders in the process of planning for the revitalization of a transitional neighborhood facing pressure from development and gentrification.



中文翻译:

使用照片语音和情感地图来了解过渡城市社区

建筑环境会影响我们对场所的使用和体验,以及情感和幸福感。重要的是要了解人们如何将情绪与城市场所联系起来,或者创造“主观”的城市体验,以重建对我们的心理和情绪健康和幸福敏感的社区。在这项研究中,我们分析了语音生成的照片 (n = 265)、焦点小组和采访记录以及情感地图,作为美国费城后工业转型社区棕地振兴规划工作的一部分。我们编码了 13 个主题来代表地点、空间或主题,并记录了与照片相关的八种主要情绪。喜悦是提及最多的情绪,尽管负面情绪(例如悲伤)的总数愤怒厌恶)远远超过积极的。情绪地图揭示了积极和消极的热点,并显示了单个位置或主题如何触发多种对比或互补的情绪。这项研究的一个主要贡献是它使用从 photovoice、采访和焦点小组收集的数据创建情感地图的方法上的新颖性。另一个贡献是创新的社区参与方法,让代表性不足的利益相关者参与规划振兴面临发展和高档化压力的过渡性社区的过程。

更新日期:2021-07-29
down
wechat
bug