Soundscape in Urban Forests

Hong, Xin-Chen; Liu, Jiang; Wang, Guangyu

doi:10.3390/f13122056

Cited by 16 publications

(12 citation statements)

References 14 publications

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“…Table 11 clearly indicates a descending trend in the recognition accuracy of the unit, as the number of Chinese firs involved in the formation of the recognition unit increases. This observation could potentially be attributed to the varying degrees of shading and the diverse forms of shading among the crowns of Chinese fir trees, as previously documented in the literature [27][28][29][30][31]. The increased number of overlapping Chinese firs leads to an expanded range of possible coverage combinations, resulting in significant variations in canopy area, thereby influencing the overall tree crown identification accuracy.…”

Section: Discussionmentioning

confidence: 83%

Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology

Chen

Huang

et al. 2023

Forests

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Chinese fir (Cunninghamia lanceolata) is the main fast-growing timber species in China, and studies of its stand volume are important for evaluating the effectiveness of forest management. However, it is difficult to accurately estimate stand volume from the perspective of a single tree due to the mutual concealment among Chinese fir trees. Therefore, in this study, we propose a method for identifying different forms of Chinese fir. The specific idea is to realize the accurate identification of a single Chinese fir tree, two Chinese fir trees, and three Chinese fir trees, and construct their respective stand volume estimation models to obtain an estimate of the forest stand volume. The key results are as follows: (1) the overall accuracy of recognition of different forms of Chinese fir is 79%, and the construction of different forms of Chinese fir units is beneficial for identifying forest trees; (2) a multiunit volume equation for different forms of Chinese fir is constructed; (3) based on predictions obtained with the constructed stand volume model, the difference between the estimated stand volume and the measured stand volume is small, and the average accuracy reaches 89.19%; and (4) compared to traditional volume estimation methods based on individual tree scale, the research method in this study shows a significant improvement (about 9.96%) in overall accuracy. In summary, this method can weaken the influence of erroneous individual tree segmentation on the accuracy of stand volume estimation, and can greatly reduce the working time of single tree segmentation to achieve the fast and accurate estimation of fir plantation stand volume.

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Section: Discussionmentioning

confidence: 83%

Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology

Chen

Huang

et al. 2023

Forests

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“…Building density and POI facility points contributed to an increase in human and vehicle traffic, especially around public service facilities in the community living circle. Additionally, various activity sounds intertwined with natural sounds and peripheral traffic sounds to perform various rhythmic soundscapes [32][33][34]. Natural sounds, such as flowing water, wind, vegetation movement and birdsong were positive drivers influencing human perception, while human-generated activity sounds and traffic sounds were negative drivers [35].…”

Section: Discussionmentioning

confidence: 99%

How Do Spatial Forms Influence Psychophysical Drivers in a Campus City Community Life Circle?

Chen

Guo

et al. 2023

Sustainability

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The physical environment of urban public facilities is an important driver for public health and work efficiency. Unfortunately, citizens are exposed to negative physical environments because of inappropriate spatial forms in urban growth boundaries. This study aims to explore psychophysical drivers and their spatial distribution in campus city community life circles during the COVID-19 pandemic. Questionnaires and measuring equipment were used to gather psychophysical information in a 15 min campus city community life circle in Fuzhou, China. To this end, acoustic, light and thermal environments were used to map spatial distributions. We then explored relationships between spatial form and psychophysical parameters. The study results show that the distance to road (DTR), green area ratio (GR) and street width (SW) are all potential spatial drivers for psychophysical information. Furthermore, the acoustical, light and thermal environments provide interactions for the public understanding of the environment. These findings contribute to the understanding and evaluation of psychophysical drivers, spurring regional industry in community life circles and contributing to developing suitable plans and industrial distribution in urban areas.

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“…In addition, Koo et al (2022) examined the relationships between harmony, rhythm, balance, order, complexity, scale, maintenance, and pedestrians on streets [43]. Zhao et al (2018) discovered that the soundscape and olfactory characteristics of the environment influence pedestrian perception [44][45][46][47]. Accordingly, this study aimed to investigate and discuss the reasons why urban residents choose a particular street for walking based on two dimensions: physical quality and aesthetic quality.…”

Section: Effect Of Street Environmental Quality On Walking Behaviormentioning

confidence: 99%

Urban Residents’ Preferred Walking Street Setting and Environmental Factors: The Case of Chengdu City

2023

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To date, most studies on building environments and walking behavior have utilized top-down approaches (e.g., big data or social media data) yet lack bottom-up approaches to verify their findings. Therefore, this study divided urban streets into three main settings (community streets, waterfront paths, and urban greenways) and collected data from a sample of 411 urban residents in Chengdu via an online questionnaire to examine the impact of street environmental factors on their choice of walking path. It was found that: (1) people with higher levels of education preferred streets with water bodies as walking paths; (2) the environmental quality of the physical and aesthetic aspects both had an impact on residents’ choices, and the aesthetic environmental quality had a stronger impact; (3) the impact of most infrastructures on community streets was stronger than on other streets; (4) residents were more concerned about the environmental quality of waterfront paths and urban greenways. Based on these findings, three design patterns for residents’ preferred street environments are proposed.

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Soundscape in Urban Forests

Abstract: The World Health Organization (WHO) has made considerable efforts to reduce citizens’ exposure to community noise in urban and suburban areas [...]

Cited by 16 publications

References 14 publications

Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology

Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology

How Do Spatial Forms Influence Psychophysical Drivers in a Campus City Community Life Circle?

Urban Residents’ Preferred Walking Street Setting and Environmental Factors: The Case of Chengdu City

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