基于脑电波的城市环境对居民情绪状态影响

冯建喜; 沈心彤

doi:10.16152/j.cnki.xdxbzr.2023-05-005

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基于脑电波的城市环境对居民情绪状态影响

健康城市 | 更新时间：2023-10-30

- 基于脑电波的城市环境对居民情绪状态影响
- The impact of different urban environments on psychological activity based on EEG
- 西北大学学报（自然科学版） 2023年53卷第5期页码：726-738
- 作者机构：
  
  1.南京大学　建筑与城市规划学院，江苏　南京　210023
- 作者简介：
  
  冯建喜，男，博士，副教授，从事健康城市、城市及区域规划研究，jxfup@nju.edu.cn。
- 基金信息：
  
  国家自然科学基金(41871135)
- DOI：10.16152/j.cnki.xdxbzr.2023-05-005
  中图分类号：
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冯建喜, 沈心彤. 基于脑电波的城市环境对居民情绪状态影响[J]. 西北大学学报（自然科学版）, 2023,53(5):726-738.

FENG Jianxi, SHEN Xintong. The impact of different urban environments on psychological activity based on EEG[J]. Journal of Northwest University (Natural Science Edition), 2023,53(5):726-738.
冯建喜, 沈心彤. 基于脑电波的城市环境对居民情绪状态影响[J]. 西北大学学报（自然科学版）, 2023,53(5):726-738. DOI： 10.16152/j.cnki.xdxbzr.2023-05-005.

FENG Jianxi, SHEN Xintong. The impact of different urban environments on psychological activity based on EEG[J]. Journal of Northwest University (Natural Science Edition), 2023,53(5):726-738. DOI： 10.16152/j.cnki.xdxbzr.2023-05-005.

摘要

已有关于城市环境对居民情绪及心理健康影响的研究多基于主观评价，较少研究采用客观的生理数据来反应环境对个体的即时影响，缺乏科学的实验设计与因果推断方法，削弱了其在政策制定中的指导价值。作为一项试验性质的研究，该研究使用Emotiv EPOC＋设备测度不同城市环境(城市繁忙区、城市静谧区和城市绿地区)对个体脑电生理数据的影响，分析城市环境对居民情绪的作用效应，揭示环境作用于个体的机制黑箱。研究结果显示，绿地环境有助于提高脑电波α波的活动水平和降低β波的活动水平，让个体处于“自下而上”的非随意注意状态，有助于缓减疲劳和恢复注意力；而城市环境则会提高β波的活动水平，让个体处于“自上而下”的定向注意状态，长时间会引起疲劳。研究结果表明基于神经科学实验的研究视角和方法，在理论层面，可规避主观评价的不足，有助于深入剖析城市环境对居民情绪及心理健康的影响过程、机制及效应，实现环境作用于个体的因果效应推断；在实践层面，基于实验得出的科学证据作为政策制定的依据，进行循证决策，有助于推动空间干预决策由依靠主观个体经验向客观证据转变、由统计学路径到实验路径转变。

Abstract

Existing research on the impact of urban environment on residents’ mental health is mostly based on subjective evaluation, with few studies using objective physiological data to reflect the immediate impact of the environment on individuals. There is a lack of scientific experimental design and causal inference methods, which weakens its guiding value in policy formulation. As an experimental study, this paper attempts to use Emotiv EPOC+ equipment to measure the impact of different urban environments (such as urban busy areas, urban quiet areas and urban green areas) on individual EEG physiological data, analyze the effects of urban environments on residents’ psychological activity, and reveal the black box of the mechanisms by which the environment acts on individuals. This study finds that green spaces can help improve alpha waves, decrease beta waves, and put individuals in a " bottom-up" state of involuntary attention, which helps to alleviate fatigue and restore attention; and the urban environment will improve beta waves and put individuals in a " top-down" state of directed attention, which can cause fatigue for a long time. The research results indicate that the research perspective and methods based on neuroscience experiments can avoid the shortcomings of subjective evaluation at the theoretical level, which helps to deeply analyze the process, mechanism, and effects of urban environment on residents’ mental health, and achieve the inference of causal effects of environmental effects on individuals. At the practical level, decision-making based on scientific evidence can help promote the transition of spatial intervention decision-making from relying on subjective experience to objective evidence, and from a statistical path to an experimental path.

关键词

城市环境心理活动脑电波神经科学实验循证决策

Keywords

urban environmentpsychological activityEEGneuroscience experimentsevidence-based policy

references

MILLS C. From invisible problem’ to global priority: The inclusion of mental health in the sustainable development goals [J]. Development and Change, 2018, 49(3): 843-866.

陈筝, 翟雪倩, 叶诗韵, 等. 恢复性自然环境对城市居民心智健康影响的荟萃分析及规划启示[J]. 国际城市规划, 2016, 31(4): 16-26.

CHEN Z, ZHAI X Q, YE S Y, et al. A meta-analysis of restorative nature landscapes and mental health benefits on urban residents and its planning implication [J]. Urban Planning Internetional, 2016, 31(4): 16-26.

张珊珊, 王婧怡, 李昱汝. 情绪自旋及其心理健康功能[J]. 心理科学进展, 2021, 29(8): 1430-1437.

ZHANG S S, WANG J Y, LI Y R. Affect spin and its impact on mental health[J]. Advances in Psychological Science, 2021, 29(8): 1430-1437.

KUPPENS P, VAN MECHELEN I, NEZLEK J B, et al. Individual differences in core affect variability and their relationship to personality and psychological adjustment[J]. Emotion, 2007, 7(2): 262-274.

VAN LOON J, FRANK L. Urban form relationships with youth physical activity: Implications for research and practice[J]. Journal of Planning Literature, 2011, 26(3): 280-308.

ELSADEK M, SUN M K, SUGIYAMA R, et al. Cross-cultural comparison of physiological and psychological responses to different garden styles[J]. Urban Forestry & Urban Greening, 2019, 38: 74-83.

许秋瑾, 董雅文. 人群健康对城市化的响应[J]. 城市问题, 2002(6): 49-51.

XU Q J, DONG Y W. The response of population health to urbanization [J]. Urban Problems, 2002(6): 49-51.

PEEN J, SCHOEVERS R A, BEEKMAN A T, et al. The current status of urban-rural differences in psychiatric disorders[J]. Acta Psychiatrica Scandinavica, 2010, 121(2): 84-93.

KIM K H, BANG S W, KIM S R. Emotion recognition system using short-term monitoring of physiological signals[J]. Medical and Biological Engineering and Computing, 2004, 42(3): 419-427.

ADALI M, BERGER M, BRAKEMEIER E L, et al. Neurourbanism: Towards a new discipline[J]. The Lancet Psychiatry, 2017, 4(3): 183-185.

KÜÇÜK S G, YÜCEER H. Neuroscience and the cities: Neurourbanism[J]. Journal of Science, 2022, 10(3): 287-301.

PYKETT J, OSBORNE T, RESCH B. From urban stress to neurourbanism: How should we research city well-being？[J]. Annals of the American Association of Geographers, 2020, 110(6): 1936-1951.

BROWNING M H E M, SAEIDI-RIZI F, MCANIRLIN O, et al. The role of methodological choices in the effects of experimental exposure to simulated natural landscapes on human health and cognitive performance: A systematic review[J]. Environment and Behavior, 2021, 53(7): 687-731.

YASUI Y. A brainwave signal measurement and data processing technique for daily life applications[J]. Journal of Physiological Anthropology, 2009, 28(3): 145-150.

周霖, 韦晓燕, 陈秋源, 等. 脑电数据处理与分析技术研究进展[J]. 中国数字医学, 2018, 13(5): 12-15.

ZHOU L, WEI X Y, CHEN Q Y, et al. The review of techniques for EEG processing and analysis [J]. China Digital Medicine, 2018, 13(5): 12-15.

胡飞, 李伟哲. 基于脑电技术的设计学研究进展：维度与方法[J]. 装饰, 2018(2): 102-105.

HU F, LI W Z. Research development of design science based on EEG technology: Fields and methods [J]. Decoration, 2018(2): 102-105.

ROE J J, ASPINALL P A, MAVROS P, et al. Engaging the brain: The impact of natural versus urban scenes using novel EEG methods in an experimental setting[J]. Environmental Science, 2013, 1(2): 93-104.

KUBITZ K A, POTHAKOS K. Does aerobic exercise decrease brain activation？[J]. Journal of Sport and Exercise Psychology, 1997, 19(3): 291-301.

BONNET M H, ARAND D L. Impact of activity and arousal upon spectral EEG parameters[J]. Physiology & Behavior, 2001, 74(3): 291-298.

TILLEY S, NEALE C, PATUANO A, et al. Older people’s experiences of mobility and mood in an urban environment: A mixed methods approach using electroencephalography (EEG) and interviews[J]. International Journal of Environmental Research and Public Health, 2017, 14(2): 151.

ASPINALL P, MAVROS P, COYNE R, et al. The urban brain: Analysing outdoor physical activity with mobile EEG[J]. British Journal of Sports Medicine, 2015, 49(4): 272-276.

NEALE C, ASPINALL P, ROE J, et al. The impact of walking in different urban environments on brain activity in older people[J]. Cities & Health, 2020, 4(1): 94-106.

TYRVAINEN L, OJALA A, KORPELA K, et al. The influence of urban green environments on stress relief measures: A field experiment[J]. Journal of Environmental Psychology, 2014, 38: 1-9.

SPERRY R W. Hemisphere deconnection and unity in conscious awareness[J]. American Psychologist, 1968, 23(10): 723-733.

李同予, 薛滨夏, 杨秀贤, 等. 基于无线生理传感器与虚拟现实技术的复愈性环境注意力恢复作用研究[J]. 中国园林, 2020, 36(12): 62-67.

LI T Y, XUE B X, YANG X X, et al. Research on attention recovery in restorative environment based on wireless physiological sensor and virtual reality technology[J]. Chinese Landscape Architecture, 2020, 36(12): 62-67.

CUMMINGS L, DANE A, RHODES J, et al. Diurnal variation in the quantitative EEG in healthy adult volunteers[J]. British Journal of Clinical Pharmacology, 2000, 50(1): 21-26.

OSBOME J W, OVERBAY A. The power of outliers (and why researchers should always check for them)[J]. Practical Assessment, Research, and Evaluation, 2004, 9(1): 6.

KAPLAN S. The restorative benefits of nature: Toward an integrative framework[J]. Journal of Environmental Psychology, 1995, 15(3): 169-182.

HARTIG T, EVANS G W, JAMNER L D, et al. Tracking restoration in natural and urban field settings[J]. Journal of Environmental Psychology, 2003, 23(2): 109-123.

ROE J, ASPINALL P. The restorative benefits of walking in urban and rural settings in adults with good and poor mental health[J]. Health & Place, 2011, 17(1): 103-113.

NEALE C, ASPINALL P, ROE J, et al. The aging urban brain: Analyzing outdoor physical activity using the emotivaffectiv suite in older people[J]. Journal of Urban Health, 2017, 94(6): 869-880.

DEHZANGI O, WILLIAMS C. Towards multi-modal wearable driver monitoring: Impact of road condition on driver distraction[C]//2015 IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN). Cambridge: IEEE, 2015: 1-6.

KACHA L, MATSUMOTO N, MANSOURI A. Electrophysiological evaluation of perceived complexity in streetscapes[J]. Journal of Asian Architecture and Building Engineering, 2015, 14(3): 585-592.

SMITH E E,KOSSLYN S M. Cognitive psychology: Mind and brain[M]. Delhi: Scientific Research, 2008.

ZHANG Z, ZHUO K F, WEI W H, et al. Emotional responses to the visual patterns of urban streets: Evidence from physiological and subjective indicators[J]. International Journal of Environmental Research and Public Health, 2021, 18(18): 9677.

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