ASSESSMENT OF THE ENVIRONMENTAL SAFETY FACTORS OF PLAY-GROUNDS USING THE RANK CORRELATION METHOD

Author(s):  
V. Stadnik

The process of rapid development in modern cities has led to a significant number of playgrounds being located in confined areas, near roads with heavy vehicle traffic (including tram tracks), next to short-term parking spaces and refuse containers. Particular attention is paid to unauthorised parking which is caused by a lack of designated parking spaces. In addition, in residential areas of modern megacities there is a lot of infill development, which is an additional source of noise and dust. Thus, a significant number of playgrounds are located in areas with excessive anthropogenic load. The materials presented in the article describe the current condition of playgrounds in most big cities of Ukraine. Particular importance is attached to the factors which are connected with vehicle traffic, for example noise pollution, air dustiness and pollutant emissions. At the first stage, a list of factors affecting the environmental safety of children's playgrounds in urbanised areas was compiled and analysed. The next stage involves the development of a questionnaire and the direct assessment of the influencing factors by the experts involved. The article considers the factors that are rarely considered in the study of the impact of individual anthropogenic factors of the environment on public health, however, in modern conditions they cannot be neglected. The final stage consists of data processing and formation of conclusions. Using the method of rank correlation, the main factors of influence on the objects of research are identified. The results of the research stated in the article can be used in further study of the subject and in the development of methods to eliminate the influence of the most significant factors affecting the ecological safety of children's playgrounds.

2021 ◽  
Vol 13 (13) ◽  
pp. 2537
Author(s):  
Yangcen Zhang ◽  
Xiangnan Liu ◽  
Meiling Liu ◽  
Xinyu Zou ◽  
Qian Zhang ◽  
...  

High-frequency disturbance forest ecosystems undergo complex and frequent changes at various spatiotemporal scales owing to natural and anthropogenic factors. Effectively capturing the characteristics of these spatiotemporal changes from satellite image time series is a powerful and practical means for determining their causes and predicting their trends. Herein, we combined the spatiotemporal cube and vegetation indices to develop the improved spatiotemporal cube (IST-cube) model. We used this to acquire the spatiotemporal dynamics of forest ecosystems from 1987 to 2020 in the study area and then classified it into four spatiotemporal scales. The results showed that the cube-core only exists in the increasing IST-cubes, which are distributed in residential areas and forests. The length of the IST-cube implies the duration of triggers. Human activities result in long-term small-scope IST-cubes, and the impact in the vicinity of residential areas is increasing while there is no change within. Meteorological disasters cause short-term, large scope, and irregular impacts. Land use type change causes short-term small scope IST-cubes and a regular impact. Overall, we report the robustness and strength of the IST-cube model in capturing spatiotemporal changes in forest ecosystems, providing a novel method to examine complex changes in forest ecosystems via remote sensing.


2020 ◽  
Vol 2 (5) ◽  
pp. 19-24
Author(s):  
P. Evdokimov

the article describes the problems of assessing the anthropogenic impact of human activity on natural com-plexes surrounding urbanized territories. Among the main research tasks are development of methodological foundations for assessing the quanti-tative and qualitative composition at anthropogenic impact on natural complexes surrounding urban areas. The main method of this research include a dialectical approach that focuses on generally accepted logi-cal research methods (analysis, systematic approach, generalization) and their synthesis using relevant in-formation materials. The author considered various methods of assessing the impact of various factors on the environment, and also carried out the examination of urban decisions related to the appointment of a category (status) the natural resources included in the urban environment in Moscow. The Russian capital is a European metropolis, the largest city-millionaire in Europe and a typical object of research to identify the effects of various anthropogenic factors. The implementation at economic activity in the metropolis is accompanied by the emergence of problems, the solution of which has not been found yet. Analysis of methods for assessing the impact at the various factors on the environment was carried out taking into account the provisions in regulatory documents governing the appointment for protected areas urban environment. Provisions of regulatory documents and decisions of executive authorities designed to use natural (forest) resources in urban environments. The absence of approved methods for assessing certain types of land plots with a protected status was identified. The main factors affecting the quality of biogeocenosis were identified. The main features of the applica-tion methods for assessing the status and possibility in recreational development in territories of varying de-grees at development are considered.


2015 ◽  
Vol 3 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Dominika Dąbrowska ◽  
Marek Sołtysiak

Abstract Many plant and animal species are closely related to the aquatic environment. Small reservoirs are a place of the biodiversity concentration. Reservoirs are especially important for amphibian species as a place of feeding, shelter and wintering. Many anthropogenic factors has a significant impact on the natural values of water reservoirs (surroundings of the water reservoirs, the shore`s type, distance from roads and buildings, the role of the object and the chemical status). They can eliminate or change amphibian population. The effect of three such factors was determined for one of the cities in the Upper Silesian Agglomeration - Sosnowiec (91 km2). The paper presents an assessment of the impact of the type of surroundings, the percentage share of the open space around water reservoirs and the distance from roads and buildings on the number of amphibian species present in the reservoir. In the analysis were taken into account 20 reservoirs, in which amphibian species were found. This analysis indicates the influence urban factors on the number of amphibian species in water reservoirs based on positive correlations in the case of Spearman Rank correlation and the Fisher’s exact test. Results of these calculations highlight the negative impact of the anthropopressure (the changes in the environment) on the amphibian breeding places and the biodiversity.


2019 ◽  
Vol 8 (1) ◽  
pp. 34-52
Author(s):  
Elena Lezhneva ◽  
Katerina Vakulenko ◽  
Andrii Galkin

Abstract The problem of combating urban noise is closely linked to the rational transformation of the urban environment, which must go through the elimination or reduction of the number of sources of noise, the localization of the noise emission zone, reducing the level of sound sources and protection against noise for the residential areas. Theoretical and experimental studies of acoustic loading on the territory along the highway for the typical section of the urban territory have been conducted. To estimate the complex noise impact from all sources and from individual sources, as well as to predict the total noise exposure for this site, a noise map was constructed using software. As a measure to combat traffic noise in the territory along the highway, the location of the noise protection screen was justified, taking into account the loss of part of the national income as a result of the continuous impact of noise on a person.The results of the research allow to assess the degree of technogenic impact of noise pollution during the operation of the highway, which allows regulating, by administrative and legislative methods, the nature of the impact on natural objects and human health of certain types of activities, as well as reasonably proposing measures that ensure environmental safety when organizing urban streets traffic.


Behaviour ◽  
2019 ◽  
Vol 156 (12) ◽  
pp. 1255-1282 ◽  
Author(s):  
Stefano S.K. Kaburu ◽  
Brianne Beisner ◽  
Krishna N. Balasubramaniam ◽  
Pascal R. Marty ◽  
Eliza Bliss-Moreau ◽  
...  

Abstract Time is a valuable but limited resource, and animals’ survival depends on their ability to carefully manage the amount of time they allocate to each daily activity. While existing research has examined the ecological factors affecting animals’ activity budgets, the impact of anthropogenic factors on urban-dwelling animals’ time budgets remains understudied. Here we collected data through focal animal sampling from three groups of rhesus macaques in Northern India to examine whether interactions with humans decrease macaques’ resting and social time (time constraints hypothesis), or whether, by contrast, foraging on anthropogenic food, that is potentially high in calories, leads macaques to spend more time resting and in social interactions (free time hypothesis). We found that macaques who interacted more frequently with people spent significantly less time resting and grooming, supporting the time constraints hypothesis. We argue that these time constraints are likely caused by the unpredictability of human behaviour.


2019 ◽  
Vol 11 (16) ◽  
pp. 4288 ◽  
Author(s):  
N Deepa ◽  
Durai Raj Vincent P M ◽  
Senthil Kumar N ◽  
Kathiravan Srinivasan ◽  
Chuan-Yu Chang ◽  
...  

The role of Information Technology based decision models for sustainable agriculture has gained immense prominence in recent years. Ranking of agriculture farms based on their yield plays a vital role in sustainable agriculture. In this work, an ensemble decision-making model, namely VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje), TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), entropy, and standard deviation (VTOPES), is proposed for ranking the sustainable sugarcane farms. VTOPES system model comprises of four significant steps: (i) determination of significance scores of the sub-parameters, (ii) transformation of sub-parameter sequences into main parameter values, (iii) computation of significant scores of main parameters, and (iv) generation of assessment values and deploying it for ranking the sugarcane farms. The ranking results of the proposed VTOPES model are compared with the ranking patterns obtained from five years average yield data acquired from the selected sugarcane farms. Moreover, the outcomes of the VTOPES model are also compared with other prevalent methods. Subsequently, Spearman’s rank correlation method is applied for evaluating the impact of correlation of VTOPES ranks in comparison with the average yield ranks. Thus, it can be noticed that the empirical results of the VTOPES model provide reliable and sustainable results. Therefore, it suffices to be a sustainable decision model for any problem where multiple parameters are involved.


2020 ◽  
Vol 12 (20) ◽  
pp. 8614
Author(s):  
Murat Gunduz ◽  
Abdulrahman Abu-Hijleh

Labor constitutes a significant portion of the overall cost of a construction project, where labor productivity is often the main driver of the cost. Although studies on labor productivity factors exist, their frequency of occurrence in terms of their ranking remains unexplored. This study differs from other studies in the literature by introducing the frequency component to the productivity factors, a more realistic ranking of the factors by adjusting the importance by frequency (frequency adjusted importance index) and risk mapping of the factors. Moreover, this study is the first to apply risk mapping on labor productivity drivers. The aim of this paper is to identify the project factors affecting the labor productivity in construction projects and to rank these factors considering the perception of the industry on project performance. A literature review of past relevant studies was performed to identify and draft a list of factors affecting labor productivity in construction projects. Thirty-seven labor productivity factors were presented in a questionnaire to investigate the impact and frequency of their occurrence in construction projects. A 9-point scale structured questionnaire was constructed to measure the importance and the frequency of the factors and to evaluate the ranking for different categories. The frequency adjusted importance index (FAII), Spearman’s rank correlation, and risk mapping were used to study and analyze the 105 completed responses. The participants rated the following factors as the five most significant labor productivity-influencing factors: (1) poor labor supervision, (2) delays in payments, (3) poor work environment, (4) lowly skilled labor, and (5) bad weather conditions.


2021 ◽  
Vol 13 (14) ◽  
pp. 8058
Author(s):  
Zihanxin Li ◽  
Nuoyan Li ◽  
Huwei Wen

With the rapid development of the digital economy, understanding the relationship between the digital economy and the environment is increasingly important for sustainable development. This study mainly studies the nexus of digital economy development and environmental quality for 217 cities in China from 2003 to 2018. Specifically, this study first evaluates the degree of coupling coordination between the digital economy system and the environmental system. Results show that the coupling coordination degree between the digital economy system and the environmental system shows a fluctuating rise from 2003 to 2018. Furthermore, this study empirically investigates the impact of digital economy development on PM2.5, which represents environmental quality, and results show that digital economy development significantly reduces PM2.5. The above finding is still valid by using the quasi-natural experiment of broadband China for the robustness test. Urbanization, population density, and economic development have caused threshold effects. When the urbanization rate and population density exceed a certain threshold, the digital economy significantly inhibits PM2.5. In contrast, when the per capita GDP exceeds a certain threshold, the digital economy significantly promotes PM2.5. The digital economy mainly affects pollutant emissions through direct and technological effects.


2019 ◽  
Vol 6 (2) ◽  
pp. 117
Author(s):  
Zulfi Chairi ◽  
Aflah Aflah ◽  
Utary Maharany

<p class="Default">Modern retail activities especially minimarket franchises in Indonesia have experienced rapid development in recent years. The development of retail is certainly not separated from the economic growth of a region and also affects the economic development in the area. The purpose of this study was to analyze the legal arrangements regarding the establishment of a minimarket franchise in Medan, the impact of Medan City Guard No. 47 of 2012 concerning the Second Amendment to Medan City Regulations No. 20 of 2011 concerning Management and Development of Traditional Markets, Shopping Centers and Modern Stores, Policies that can be implemented by the Regional Government to maintain the existence of traditional shops from the mushrooming of minimarket franchises. The research used is an empirical method that uses primary data and secondary data. The results of this study indicate that in its establishment the minimarket franchise did not pay attention to socio-economic balance with the surrounding traditional shops. Juridical consequences for the issuance of Medan City Mayor Regulation (Perwal) No. 47 of 2012 concerning the Arrangement of Modern Stores on Traditional Stores is an increase in the aggressiveness of the expansion of the modern retail business to residential areas in the area. There is an unsynchronization between Pepres No. 112 of 2007 and Perwal No. 47 of 2012 which has an impact on the survival of traditional shop traders in the city of Medan.</p>


Author(s):  
Saliza Sulaiman ◽  
Zahariah Sahudin ◽  
Zuraidah Ismail ◽  
Hazirah Azhar

The main purpose of this research is to identify whether there is any relationship between economic indicators, industrialization and pollutant emissions (CO2) on economic development in Malaysia. Economic indicators consist of government debt, health and education expenditure. This paper used Ordinary Least Square (OLS) Method to test the factors affecting the economic development. The data collection for each variable are collected from year 1980 until 2014 for 35 years in Malaysia. The result of the study shows that industrialization and pollutant emission (CO2) have a significant relationship on economic development. Meanwhile, government debt, health and education expenditure do not have a significant relationship on economic development. These finding will help to understand the effect of independent variables towards the dependent variable (economic development)


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