Multi-source sensor based urban habitat and resident health sensing: A case study of Wuhan, China

Zhang, Yan; Chen, Nengcheng; Du, Wenying; Li, Yingbing; Zheng, Xufei

doi:10.1016/j.buildenv.2021.107883

Cited by 40 publications

(14 citation statements)

References 51 publications

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“…Amaratunga et al (2010) argued that the SEM is a valuable instrument for tackling errors within variables. It is an equation-based method with random components and structural limits (Zhang et al, 2021). In this analysis SEM technique was used to and the experiential pointers (or drivers) (Sarstedt et al, 2014).…”

Section: Analytical Methods (Structured Equation Modeling)mentioning

confidence: 99%

Radio frequency identification implementation model for sustainable development: A structural equation modeling approach

Oke

Kineber

Farouk

et al. 2022

Sustainable Development

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Sustainability concepts are adopted via new technologies to achieve the highest gains without compromising the projects' objectives. One of these technologies is radio frequency identification (RFID). This research investigated the influence of various drivers and benefits of RFID implementation on the achievement of sustainable construction projects. A close‐ended questionnaire detailing the necessary variables were administered to relevant construction professionals in the study area. Results of exploratory factor analysis of the data revealed that the drivers of RFID could be grouped into three primary constructs: technology, industry, and culture. However, the benefits of implementing RFID have two primary constructs: resources and environment. This study employed a partial least square structural equation modeling to further evaluate the connections among drivers and the application of RFID in the building industry. Results indicated that implementing RFID in the building industry will aid the sustainability of construction projects. The findings of this study will assist policy makers concerned with the performance and sustainability of construction projects through the adoption of available technologies including RFID.

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Section: Analytical Methods (Structured Equation Modeling)mentioning

confidence: 99%

Radio frequency identification implementation model for sustainable development: A structural equation modeling approach

Oke

Kineber

Farouk

et al. 2022

Sustainable Development

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show abstract

“…The street view images are input in the training model and decomposed into individual layers. The ratio of the total number of pixels with vegetation elements to the total pixels in the street view images is calculated to obtain the GVI of each street view image (Zhang, Chen, Du, Li, & Zheng, 2021). The results of semantic segmentation are shown in Figure 3.…”

Section: Implementation and Experimentsmentioning

confidence: 99%

An improved method for urban Walk Score calculation considering perception of the street environment

Zhang

et al. 2022

Transactions in GIS

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Walk Score is widely used to measure the convenience of surrounding amenities and generally considers the physical characteristics of streets (density of crossings, distances, etc.). This article proposes an improved Walk Score evaluation method considering what pedestrians perceive through hearing and sight in the street environment. By using a traffic noise assessment model and a semantic segmentation model, the improved method incorporates traffic noise and vegetation coverage factors as penalties into the original Walk Score. Based on the proposed method, a case study was conducted in Nanjing, China. Compared with the original Walk Score: (1) the improved Walk Score results present more information about how the street environment affects walkability; (2) areas near downtown generally scored higher, while some traditional downtown areas scored lower, which is mainly because the latter areas have little vegetation along the streets; and (3) areas around urban viaducts and overpasses scored lower due to the additional penalty of traffic noise. With the support of the improved Walk Score evaluation method, urban planning and policymakers can develop more comprehensive solutions to improve urban walkability.

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“…Green spaces around large residential areas exerted an inhibitory effect on the deterioration of urban health and wellbeing due to COVID-19 (30). Notably, the risk of infection and transmission rates were high for neighborhoods with high levels of community convenience (35). Integrating all patients with COVID-19 into high-grade urban hospitals is unrealistic because hospital capacity is far from adequate for treating such a large number of patients at the burgeoning stage of a pandemic such as COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Mechanisms influencing the factors of urban built environments and coronavirus disease 2019 at macroscopic and microscopic scales: The role of cities

Zhang

Han²,

Wu³

et al. 2023

Front. Public Health

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In late 2019, the coronavirus disease 2019 (COVID-19) pandemic soundlessly slinked in and swept the world, exerting a tremendous impact on lifestyles. This study investigated changes in the infection rates of COVID-19 and the urban built environment in 45 areas in Manhattan, New York, and the relationship between the factors of the urban built environment and COVID-19. COVID-19 was used as the outcome variable, which represents the situation under normal conditions vs. non-pharmacological intervention (NPI), to analyze the macroscopic (macro) and microscopic (micro) factors of the urban built environment. Computer vision was introduced to quantify the material space of urban places from street-level panoramic images of the urban streetscape. The study then extracted the microscopic factors of the urban built environment. The micro factors were composed of two parts. The first was the urban level, which was composed of urban buildings, Panoramic View Green View Index, roads, the sky, and buildings (walls). The second was the streets' green structure, which consisted of macrophanerophyte, bush, and grass. The macro factors comprised population density, traffic, and points of interest. This study analyzed correlations from multiple levels using linear regression models. It also effectively explored the relationship between the urban built environment and COVID-19 transmission and the mechanism of its influence from multiple perspectives.

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Multi-source sensor based urban habitat and resident health sensing: A case study of Wuhan, China

Cited by 40 publications

References 51 publications

Radio frequency identification implementation model for sustainable development: A structural equation modeling approach

Radio frequency identification implementation model for sustainable development: A structural equation modeling approach

An improved method for urban Walk Score calculation considering perception of the street environment

Mechanisms influencing the factors of urban built environments and coronavirus disease 2019 at macroscopic and microscopic scales: The role of cities

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