Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia

Nourmohammadi, Zahra; Lilasathapornkit, Tanapon; Ashfaq, Mudabber; Gu, Ziyuan; Saberi, Meead

doi:10.3390/su13020605

Cited by 17 publications

(7 citation statements)

References 31 publications

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“…As an example, a very simple analysis of the sound levels collected in France shows, without any particular treatment, an overall decrease in sound levels during the periods of lockdown related to COVID (Figure 17). Beyond the exploitation of the database, one can also mention that the use of the NoiseCapture application with a dedicated use of the collected data (i.e., without using the NoiseCapture database, but using only the data export capabilities of the application) can be an interesting tool for scientific purposes [53][54][55][56][57].…”

Section: Discussionmentioning

confidence: 99%

“…'pk_party' 'pk_party' 'pk_party' 'tag' 'tag' 'tag' Organization 'filter_area' 'filter_area' 'filter_area' 'filter_time' 'filter_time' 'filter_time' Contributors Tracks Points It must be specified that other similar events could have been organized, without having given rise to the creation of a specific tag, and without having informed the developers of the application. For example, this is the case for several recently published research works [53][54][55][56][57].…”

Section: Noisecapture Partiesmentioning

confidence: 94%

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A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment

Picaut

Boumchich

Bocher

et al. 2021

IJERPH

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Noise is a major source of pollution with a strong impact on health. Noise assessment is therefore a very important issue to reduce its impact on humans. To overcome the limitations of the classical method of noise assessment (such as simulation tools or noise observatories), alternative approaches have been developed, among which is collaborative noise measurement via a smartphone. Following this approach, the NoiseCapture application was proposed, in an open science framework, providing free access to a considerable amount of information and offering interesting perspectives of spatial and temporal noise analysis for the scientific community. After more than 3 years of operation, the amount of collected data is considerable. Its exploitation for a sound environment analysis, however, requires one to consider the intrinsic limits of each collected information, defined, for example, by the very nature of the data, the measurement protocol, the technical performance of the smartphone, the absence of calibration, the presence of anomalies in the collected data, etc. The purpose of this article is thus to provide enough information, in terms of quality, consistency, and completeness of the data, so that everyone can exploit the database, in full control.

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Section: Discussionmentioning

confidence: 99%

Section: Noisecapture Partiesmentioning

confidence: 94%

A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment

Picaut

Boumchich

Bocher

et al. 2021

IJERPH

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show abstract

“…Calogiuri and Elliott (2017) also noted that greenery can improve the pedestrian walking experience in the streets by increasing shade (Hahm et al 2017) and reducing stress (Wang et al 2020a(Wang et al , 2020b. Urban streets greenery not only has the function of purifying air Chen and Jim (2008), mitigating the urban heat island effect (Ferla 2020) and reducing noise pollution (Nourmohammadi et al 2021), it can also provide benefits of physical and mental health for residents (Hartig et al 2014, Frumkin et al 2017a, Bratman et al 2019. Therefore, in the design and renovation practice of urban coastal streets, reasonably increasing the density of trees and vertical greening ensures a high street green coverage ratio.…”

Section: The Influence Of Natural Features On Viwpmentioning

confidence: 99%

Using google street view panoramas to investigate the influence of urban coastal street environment on visual walkability

Huang

Lyu

et al. 2023

Environ. Res. Commun.

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Urban street walkability can effectively promote public health and the construction of livable cities. In addition, the coastal streets play a positive role in showing urban vitality and image. Due to the growing leisure needs of residents, measuring the visual walkability perception (VIWP) in urban streets and exploring the influence mechanisms of urban coastal street environments on VIWP have theoretical and practical significance. However, the methods of the previous walkability studies have limitations in terms of cost, time and measurement scale. Based on Google Street View Panoramic (GSVP) image data, this study used the semantic difference (SD) method with virtual reality (VR) technology to evaluate the VIWP of Fukuoka coastal streets. Meanwhile, the proportion of streetscape elements was extracted from GSVP images by semantic segmentation. The correlation and regression analyses were performed between the VIWP evaluation values and streetscape elements. Then, the regression model of the VIWP and the streetscape elements was established. The results showed that the natural features had a positive influence on VIWP in coastal streets. Correspondingly, trees were the strongest contribution rate for the VIWP, followed by shrubs, grasses and water, however, buildings and cars had a negative influence on VIWP. The method extends previous studies for measuring walkability, and optimization strategies were proposed to improve the visual quality of the coastal streets. It can be applied in the construction and management of walkable coastal street environments.

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“…In urban environments, street greenery provides environmental, economic, and social services to cities [15], such as pollution reduction [16,17], noise elimination [18], urban biodiversity [19][20][21], and aesthetic [22,23]. In addition, urban street greenery plays an important role in public health [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

The Relation between Green Visual Index and Visual Comfort in Qingdao Coastal Streets

Sun

Gao

et al. 2023

Buildings

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The public’s mental health is obviously impacted by the perception of green quantity in urban streets. As one of the important urban spatial indicators, the Green View Index (GVI) reflects the green quantity of streets, which is helpful in revealing the level of street vegetation from the perspective of pedestrians. The GVI can improve the attraction and the visual experience in urban streets. Taking Qingdao Coastal Streets as an example, the study used OpenStreetMap, Baidu Street View (BSV) image, DeepLabV3+ semantic segmentation, and the SD method to obtain the GVI and Visual Comfort (VICO), and the correlation and influence mechanisms were discussed. The result showed that the greening landscape of the overall Qingdao Coastal Streets was of high quality, and the historic district was the most outstanding. The greening quality was a little low in the transitional district and the western modern district, which should be improved. In addition, the relationship between GVI and VICO showed a strong positive correlation. The spatial distribution of the VICO was more consistent with the GVI. The street VICO was affected by the GVI, plant richness, the street scale, and landscape diversity. Moreover, with the increase of the GVI, the increase trend of the VICO instead gradually decreased. The contribution of this study was not only accurately diagnosing the problems of street greening quality, shedding light on the relationship between GVI and VICO, but also providing theoretical support for urban greening planning and management, especially for healthy street design.

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Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia

Cited by 17 publications

References 31 publications

A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment

A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment

Using google street view panoramas to investigate the influence of urban coastal street environment on visual walkability

The Relation between Green Visual Index and Visual Comfort in Qingdao Coastal Streets

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