EVALUATION OF URBAN MULTI-SCALE LANDSCAPE ECOLOGICAL PATTERN BASED ON OPEN SPACE CLASSIFICATION: A CASE STUDY IN XINXIANG, CHINA

Working people spend around 54% of their waking hours at a workplace, according to recent statistics. Work-related stress is unavoidable, and it can damage the health of employees and affect business performance. In this paper, we argue that open space inside the workplace environment can have a positive influence on reducing overall stress levels in all the categories of users. To our knowledge, there is a significant lack of research considering specific business districts and the gated complexes called business parks, especially in post-socialist Eastern European cities, where there they are still a novelty. Empirical research in this study is on the single case study of Business Park “Airport city” in Belgrade, Serbia. Its main focus is on the survey conducted with 235 participants based on a questionnaire, which examines the relation between workplace stress and workplace environments. The findings from the questionnaire show that the frequency, duration, and activity of open space usage influence the stress levels of employees in this specific workplace, while it is not visible relating to their age and gender. Additionally, final implications suggest that improved open space, such as well-expected greenery, but also the urban design non-associative to workspace and the socialization and exercise amenities customized for frequent and short work breaks, can facilitate the overall well-being of employees. They are innovative elements in relatively underdeveloped research on stress measures with open space usage characteristics in the specific (gated) workplace setting.

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Environmental monitoring and assessment: A multi-scale and multiparameter case study in Campania Region (S Italy) on the recreational seawater quality evaluation

Regional Studies in Marine Science ◽

10.1016/j.rsma.2020.101465 ◽

2020 ◽

Vol 39 ◽

pp. 101465

Author(s):

Massimiliano Lega ◽

John Kosmatka ◽

Marco Casazza ◽

Lucio De Maio ◽

Davide Severino ◽

...

Keyword(s):

Environmental Monitoring ◽

Quality Evaluation ◽

Campania Region ◽

Multi Scale ◽

Seawater Quality

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Improved Process Monitoring Scheme Using Multi-Scale Independent Component Analysis

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-05822-1 ◽

2021 ◽

Author(s):

K Ramakrishna Kini ◽

Muddu Madakyaru

Keyword(s):

Fault Detection ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Noisy Environment ◽

Process Data ◽

Multi Scale ◽

Efficient Information ◽

Non Gaussian

AbstractThe task of fault detection is crucial in modern chemical industries for improved product quality and process safety. In this regard, data-driven fault detection (FD) strategy based on independent component analysis (ICA) has gained attention since it improves monitoring by capturing non-gaussian features in the process data. However, presence of measurement noise in the process data degrades performance of the FD strategy since the noise masks important information. To enhance the monitoring under noisy environment, wavelet-based multi-scale filtering is integrated with the ICA model to yield a novel multi-scale Independent component analysis (MSICA) FD strategy. One of the challenges in multi-scale ICA modeling is to choose the optimum decomposition depth. A novel scheme based on ICA model parameter estimation at each depth is proposed in this paper to achieve this. The effectiveness of the proposed MSICA-based FD strategy is illustrated through three case studies, namely: dynamic multi-variate process, quadruple tank process and distillation column process. In each case study, the performance of the MSICA FD strategy is assessed for different noise levels by comparing it with the conventional FD strategies. The results indicate that the proposed MSICA FD strategy can enhance performance for higher levels of noise in the data since multi-scale wavelet-based filtering is able to de-noise and capture efficient information from noisy process data.

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Multi-scale flooding hazards evaluation using a nested flood simulation model: Case study of Jamuna River, Bangladesh

International Journal of River Basin Management ◽

10.1080/15715124.2021.1935977 ◽

2021 ◽

pp. 1-38

Author(s):

Masakazu Hashimoto ◽

Kenji Kawaike ◽

Tomonori Deguchi ◽

Shammi Haque ◽

Arpan Paul ◽

...

Keyword(s):

Simulation Model ◽

Model Case ◽

Flood Simulation ◽

Multi Scale ◽

Flooding Hazards

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Friends of Rose Canyon

California History ◽

10.1525/ch.2018.95.3.2 ◽

2018 ◽

Vol 95 (3) ◽

pp. 2-20 ◽

Cited By ~ 1

Author(s):

Andrew Wiese

Keyword(s):

Open Space ◽

Critical Role ◽

First Century ◽

Grassroots Politics ◽

History Of ◽

University City ◽

Participant Observer ◽

The Rose

Place-based activism has played a critical role in the history of urban and environmental politics in California. This article explores the continuing significance of environmental place making to grassroots politics through a case study of Friends of Rose Canyon, an environmental group in San Diego. Based in the fast-growing University City neighborhood, Friends of Rose Canyon waged a long, successful campaign between 2002 and 2018 to prevent construction of a bridge in the Rose Canyon Open Space Park in their community. Using historical and participant observer methodologies, this study reveals how twenty-first-century California urbanites claimed and created meaningful local places and mobilized effective politics around them. It illuminates the critical role of individual activists; suggests practical, replicable strategies for community mobilization; and demonstrates the significant impact of local activism at the urban and metropolitan scales.

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Spatial multi-criteria and multi-scale evaluation of walkability potential at street segment level: A case study of tehran

Sustainable Cities and Society ◽

10.1016/j.scs.2017.02.011 ◽

2017 ◽

Vol 31 ◽

pp. 37-50 ◽

Cited By ~ 18

Author(s):

Mohammad Taleai ◽

Elham Taheri Amiri

Keyword(s):

Street Segment ◽

Scale Evaluation ◽

Multi Scale

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Macroscopic and Multi-Scale Models for Multi-Class Vehicular Dynamics with Uneven Space Occupancy: A Case Study

Axioms ◽

10.3390/axioms10020102 ◽

2021 ◽

Vol 10 (2) ◽

pp. 102

Author(s):

Maya Briani ◽

Emiliano Cristiani ◽

Paolo Ranut

Keyword(s):

Road Network ◽

Real Data ◽

Second Order ◽

Heavy Vehicles ◽

First Order ◽

Multi Scale ◽

Stop And Go ◽

Scale Models ◽

Road Space

In this paper, we propose two models describing the dynamics of heavy and light vehicles on a road network, taking into account the interactions between the two classes. The models are tailored for two-lane highways where heavy vehicles cannot overtake. This means that heavy vehicles cannot saturate the whole road space, while light vehicles can. In these conditions, the creeping phenomenon can appear, i.e., one class of vehicles can proceed even if the other class has reached the maximal density. The first model we propose couples two first-order macroscopic LWR models, while the second model couples a second-order microscopic follow-the-leader model with a first-order macroscopic LWR model. Numerical results show that both models are able to catch some second-order (inertial) phenomena such as stop and go waves. Models are calibrated by means of real data measured by fixed sensors placed along the A4 Italian highway Trieste–Venice and its branches, provided by Autovie Venete S.p.A.

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