众包数据作为一种战略方法,在户外环境质量评估中包括人类维度
Roberta Jacoby Cureau1, Elie Bou-Zeid2, Ilaria Pigliautile1
1Department of Engineering, University of Perugia, Perugia 06125, Italy; EAPLAB at CIRIAF - Interuniversity Research Center on Pollution and Environment, University of Perugia, Perugia 06125, Italy.
众包数据提供了一种有价值的方法来评估城市公园的户外舒适感. 这种方法有效地识别了影响公众福祉和公园使用的关键环境因素.
科学领域:
- 环境心理学 环境心理学
- 城市规划 城市规划
- 人与计算机的交互
背景情况:
- 舒适的城市户外环境提高了城市的宜居性和公民的福祉.
- 传统的舒适度研究通常使用耗时的调查,样本规模有限.
- 众包数据为收集对环境感知的主观反提供了一个包容性的替代方案.
研究的目的:
- 评估众包数据对评估户外环境质量感知的有用性.
- 确定影响公众对城市公园认知的关键环境因素.
- 确定众包数据是否可以为城市舒适性评估和风险预测提供信息.
主要方法:
- 从数字绘图平台分析公开可用的,自愿报告的众包数据.
- 整合众包审查与环境数据 (例如,热条件) 在纽约市的城市公园.
- 使用多源,跨学科的信息框架.
主要成果:
- 总的来说,公园的感受是积极的,景点和活动是参观者的关键驱动力.
- 声学和热因素被确定为最有影响力的环境因素.
- 遮阳被认为是热热条件的关键缓解因素;声学得到了很好的评价.
结论:
- 自愿报告的众包数据为城市环境中的公众环境感知提供了宝贵的见解.
- 这种方法有效地将人类的观点纳入环境质量评估中.
- 众包数据分析可以帮助评估和预测与城市公共空间相关的环境风险.
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