The influence of two and three-dimensional spatial characteristics of industrial parks on the emotional well-being of employees: A case study of Shenzhen

IF 4 2区 地球科学 Q1 GEOGRAPHY Applied Geography Pub Date : 2024-08-17 DOI:10.1016/j.apgeog.2024.103367
Xiao Ding , Botao Feng , Jiahua Wu
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Abstract

Enhancing the emotions of the workers within industrial parks is crucial for achieving the sustainable development goal (SDG). However, evidence on the impact of industrial park environmental layouts on emotions is limited due to the low attention on the workers in the industrial park. Based on a framework of two-dimensional (2D) industrial park morphology indicators and three-dimensional (3D) spatial objective perception, this study aims to compare and analyze the effect of environmental characteristics in Shenzhen's industrial parks on workers' emotions by using emotional geography and social media data. The potential mechanism that environmental characteristic variables influence the positive emotion index (PEI) is also explored. Using the natural language processing (NLP) to analyze the Weibo check-in data, the study captures the daily emotions of workers in industrial parks. By adopting the linear and spatial regression models, this research reveals the complex relationship between the environmental layout of the total 425 industrial parks in Shenzhen city and the corresponding emotions of the workers. The conclusions are as follows: (1) There is a significant correlation between the environmental layout of the industrial parks and the emotions of the workers, with the correlation among 3D variables being higher than that among 2D variables considering spatial effects. (2) There is a certain degree of coordination and contradiction between the morphological indicators of the industrial parks and the spatial objective perception variables, necessitating the planners to consider both macro-scale and micro-perception environmental characteristics to enhance the workers' emotions. (3) In addition to higher accessibility and more public transportation options, the safer, wider, relatively more open streets, more perceivable green spaces, and richer street life can promote the positive emotions among the workers. On the contrary, the enclosed environments, the dense and overwhelming buildings, and the excessive road density may lead to negative emotions. This study contributes to establish the environmental layouts for the industrial parks that foster positive worker emotions and offer insights for the sustainable development of the industrial parks.

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工业园区的二维和三维空间特征对员工情绪健康的影响:深圳案例研究
提高工业园区工人的情绪对于实现可持续发展目标(SDG)至关重要。然而,由于对工业园区内工人的关注度较低,有关工业园区环境布局对情绪影响的证据十分有限。本研究基于二维(2D)工业园区形态指标和三维(3D)空间客观感知框架,利用情感地理学和社交媒体数据,比较分析深圳工业园区环境特征对工人情感的影响。研究还探讨了环境特征变量影响积极情绪指数(PEI)的潜在机制。本研究利用自然语言处理(NLP)技术分析微博签到数据,捕捉工业园区工人的日常情绪。通过线性回归和空间回归模型,本研究揭示了深圳市 425 个工业园区的环境布局与工人相应情绪之间的复杂关系。研究结论如下(1)工业园区环境布局与工人情绪之间存在明显的相关性,考虑到空间效应,三维变量之间的相关性高于二维变量之间的相关性。(2)工业园区形态指标与空间客观感知变量之间存在一定程度的协调与矛盾,需要规划者同时考虑宏观尺度和微观感知的环境特征来提升工人的情绪。(3)除了更高的可达性和更多的公共交通选择外,更安全、更宽阔、相对更开阔的街道,更多可感知的绿地,更丰富的街道生活都能促进工人的积极情绪。相反,封闭的环境、密集而不堪重负的建筑以及过高的道路密度则可能导致负面情绪。本研究有助于为工业园区建立能促进工人积极情绪的环境布局,并为工业园区的可持续发展提供启示。
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来源期刊
Applied Geography
Applied Geography GEOGRAPHY-
CiteScore
8.00
自引率
2.00%
发文量
134
期刊介绍: Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.
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