scholarly journals Mapping and Spatial Pattern Analysis of COVID -19 in Central Iran Using the Local Indicators of Spatial Association (LISA)

2021 ◽  
Author(s):  
Nahid Jesri ◽  
Abedin Saghafipour ◽  
Alireza Koopaei ◽  
Babak Farzinnia ◽  
Moharram Karami Jooshin ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Urban Areas ◽  
Spatial Association ◽  
Distribution Model ◽  
Spatial Proximity ◽  
Spatial Pattern Analysis ◽  
Policy Makers ◽  
Factors Affecting ◽  
Urban Districts ◽  
Geographical Factors

Abstract Background: Using geographical analysis to identify geographical factors affecting the prevalence of COVID-19 infection can effect on public health policies to control of the virus. The aim of this study was to determine the spatial analysis of COVID-19 regions in Qom Province, using the local indicators of spatial association (LISA). In a descriptive-analytical study, the total number of individuals infected with COVID-19 in Qom Province, from February 19, to September 2020, were included in the study. The spatial distribution in urban areas was determined using the Moran coefficient in GIS. in addition, the spatial autocorrelation of the coronavirus in the different urban districts of the province was calculated using LISA method. Results: The prevalence of COVID -19 in Qom province was estimated to be 356.75 per 100,000 populations. The pattern of spatial distribution of the prevalence of COVID -19 in Qom was clustered. The District 3 (Imam Khomeini St.), and District 6 (Imamzadeh Ebrahim St.), were set in HH category of LISA as two foci of COVID-19 in Qom province. Conclusions: Based on LISA, District 1 (Bajak) of urban districts was set in LH category. It means this district is located in a low value area surrounded by high values. One of the most important geographical factors affecting the incidence of coronavirus is based on spatial distribution model, distance and spatial proximity. So, health policy makers, should impose more restrictions on the observance of health protocols to control of the coronavirus.

scholarly journals Mapping and Spatial Pattern Analysis of COVID-19 in Central Iran Using the Local Indicators of Spatial Association (LISA)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nahid Jesri ◽  
Abedin Saghafipour ◽  
Alireza Koohpaei ◽  
Babak Farzinnia ◽  
Moharram Karami Jooshin ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Urban Areas ◽  
Analytical Study ◽  
Spatial Association ◽  
Spatial Proximity ◽  
Spatial Pattern Analysis ◽  
Urban District ◽  
Public Health Policies ◽  
High Category ◽  
Urban Districts

Abstract Background Using geographical analysis to identify geographical factors related to the prevalence of COVID-19 infection can affect public health policies aiming at controlling the virus. This study aimed to determine the spatial analysis of COVID-19 in Qom Province, using the local indicators of spatial association (LISA). Methods In a primary descriptive-analytical study, all individuals infected with COVID-19 in Qom Province from February 19th, 2020 to September 30th, 2020 were identified and included in the study. The spatial distribution in urban areas was determined using the Moran coefficient in geographic information systems (GIS); in addition, the spatial autocorrelation of the coronavirus in different urban districts of the province was calculated using the LISA method. Results The prevalence of COVID-19 in Qom Province was estimated to be 356.75 per 100,000 populations. The pattern of spatial distribution of the prevalence of COVID-19 in Qom was clustered. District 3 (Imam Khomeini St.) and District 6 (Imamzadeh Ebrahim St.) were set in the High-High category of LISA: a high-value area surrounded by high-value areas as the two foci of COVID-19 in Qom Province. District 1 (Bajak) of urban districts was set in the Low-High category: a low-value area surrounded by high values. This district is located in a low-value area surrounded by high values. Conclusions According to the results, district 3 (Imam Khomeini St.) and district 6 (Imamzadeh Ebrahim St.) areas are key areas for preventing and controlling interventional measures. In addition, considering the location of District 1 (Bajak) as an urban district in the Low-High category surrounded by high values, it seems that distance and spatial proximity play a major role in the spread of the disease.

scholarly journals Index of Atmospheric Purity reflects the ecological conditions better than the environmental pollution in the Carpathian forests

2020 ◽  
Vol 17 (11) ◽  
pp. 2691-2706
Author(s):  
Magdalena Tanona ◽  
Paweł Czarnota
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Environmental Pollution ◽  
Urban Areas ◽  
Ecological Indicator ◽  
Epiphytic Lichen ◽  
Factors Affecting ◽  
Ecological Conditions ◽  
Lichen Biota ◽  
High Degree

Abstract The Index of Atmospheric Purity (IAP) is a popular tool used for the assessment of air quality in polluted urban areas, on the basis of phytosociological data of epiphytic lichen communities. We hypothesized that this indicator could also be used in less polluted forest areas to determine the quality of ecological conditions for lichens. The aim of the present study was to verify the use of IAP method in the assessment of environmental pollution, and alternatively for the assessment of general ecological conditions in protected mountain forests of Gorce National Park (Polish Western Carpathians) based on the epiphytic lichen biota associated with Picea abies. The spatial distribution of IAP values on monitored sites in GNP was compared with: 1) spatial distribution of accumulated sulfur, nitrogen, selected heavy metals, and total heavy metals in Hypogymnia physodes thalli in 1993 and 2018 (30 sites), 2) mean ecological indicator values characterizing species requirements for light (L), substrate reaction (R) and nutrients (N), in 1993, 2013 and 2018 (33 sites). Generalized linear model and redundancy analysis were performed for disclosing most influencing factors affecting lichen communities. The study revealed a few negligible relationships between IAP values and accumulation of such elements as Ni, Mn, Cd, and Cr in both monitoring periods. Simultaneously, IAP can be useful for the identification of forest areas with a high degree of naturalness.

THE ARGUMENTATION FOR THE IMPLEMENTATION OF URBAN CONSOLIDATION CENTER FOR THE OLD TOWN IN GDAŃSK AS AN INDICATION OF SUSTAINABLE URBAN FREIGHT LOGISTICS

2017 ◽  
Vol 69 (0) ◽  
pp. 63-71 ◽  
Author(s):  
Maria Matusiewicz
Keyword(s):  
Urban Space ◽  
Urban Areas ◽  
Infrastructure Development ◽  
Historical Buildings ◽  
Policy Makers ◽  
Factors Affecting ◽  
Urban Freight ◽  
Freight Logistics ◽  
The City ◽  
Urban Consolidation

Distribution of goods in urban areas is one of the most important factors affecting the operation of the region but the management of these services is often overlooked by transport policy makers in Polish cities. Historical buildings create additional difficulties because they make the infrastructure development impossible. It is estimated that in large European cities approximately 25% of CO2 emissions, 30% of nitrogen oxides and 50% of particulates from transport are emitted by trucks and vans. The doctoral thesis presents methods used to optimize distribution processes in cities with historic buildings in Europe and around the world. It also presents the results of a research carried out in the Old Town of Gdańsk and proposes a method to optimize distribution processes for the area, which was the main objective of the work. The hypothesis of the trial has been formulated as follows: locating Urban Consolidation Center not far away from the center of the City of Gdańsk would bring tangible benefits for the city and all users of the urban space. The study used a method of analysis and criticism of literature; detailed study of a particular case and the method of observation. According to the design model, the proposed solution will bring tangible benefits to all users of space – residents, businesses and city authorities. The results of tests carried out on account of this thesis were provided to the city authorities.

Factors Affecting Residential Parking Occupancy in Madison, Wisconsin

2017 ◽  
Vol 2651 (1) ◽  
pp. 71-79
Author(s):  
Chris McCahill
Keyword(s):  
Urban Areas ◽  
The United States ◽  
Neighborhood Characteristics ◽  
Related Factors ◽  
Policy Makers ◽  
Factors Affecting ◽  
Two Factors ◽  
Building Characteristics ◽  
Negative Impacts ◽  
Residential Parking

Policy makers in urban areas throughout the United States are interested in managing parking provision and minimizing the negative impacts of excess parking, yet those policy makers often lack an understanding of how much the existing parking is used and how different factors affect its use. This paper presents a study of multifamily residential parking use and related factors at 80 sites in Madison, Wisconsin. Twenty-two factors, including neighborhood and building characteristics, are considered. During the evening peak, parking use ranges from 0 to 1.4 spaces per residential unit, and the existing supply is 67% occupied. This paper presents three simple models of parking occupancy that require only two neighborhood characteristics and three building characteristics. These models explain roughly two-thirds of the variation in occupancy. Neighborhood characteristics are highly collinear and explain roughly 40% of the variation. Building characteristics explain more than 50% of the variation. This work validates similar findings from prior studies of larger cities and also offers important guidance for practitioners in other cities to understand factors affecting parking demand and to develop models of their own. Given the vast amount of unused parking observed in this study, this work reinforces the notion that cities should implement policies to manage their supply better.

Factors Affecting Financial Literacy of Vietnamese Adults: A Case Study for Hanoi and Nghe An

2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Tue Nguyen Dang
Keyword(s):  
Higher Education ◽  
Multiple Regression ◽  
Financial Literacy ◽  
Urban Areas ◽  
Logistic Models ◽  
Factors Affecting ◽  
Financial Behaviors ◽  
Financial Decisions ◽  
Literacy Level

This research examines the factors affecting the financial literacy of Vietnamese adults. Using a sample of 266 observations of adults in 2 big cities in Vietnam (Hanoi and Vinh in Nghe An Province), the author evaluates the literacy level of adults in these urban areas. The financial literacy of the interviewed people is low. The multiple regression results show that lower financial literacy levels associate with higher age and married status and higher financial literacy levels associate with higher education, more family members, the person making financial decisions and the person attending a useful financial course. This research also explores the association between financial literacy and financial behaviors of individuals employing logistic models. It is found that higher financial literacy associates with less probability of overspending and higher probability of saving money and careful spending. Higher financial literacy is also found to associate with higher probability of opening a savings account and making various investments. 

Measurement of Vulnerability of Financial Portfolio of Sharia Commercial Banks by Cardona Method

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Paulina Harun ◽  
Atman Poerwokoesoemo
Keyword(s):  
Commercial Banks ◽  
Quantitative Research ◽  
Banking Sector ◽  
Banking Industry ◽  
Policy Makers ◽  
Factors Affecting ◽  
Section Data ◽  
Initial Stage ◽  
The Face ◽  
Asset Portfolio

his study aims to: (1) to know and analyze the extent of volatility (vulnerability) of sharia banking industry in Indonesia in the face of competition (2) to know and analyze factors affecting vulnerability of sharia commercial banks; (3) to know and analyze the extent of sustainable development of sharia banking industry to Indonesia's economic development.The research conducted to measure the vulnerability (volatility) of proto folio of syariah bank using observation period 2015, and the data used is cross section data. The research design used in this research is quantitative research, using asset dimension (asset portfolio, liability portfolio, equity portfolio) and stressor (pressure, including: credit risk, market risk, and liquidity risk).The activity plan of this research is: in the initial stage of conducting theoretical study related to the vulnerability related to banking especially BUS; The next step is to determine the asset and stressor dimensions associated with the BUS; Further determine the indicators related to assets and stressors; The next step performs calculations to determine the index of each BUS as well as the dimensions that affect the vulnerabilities faced by each BUS.Target expected outcomes can be generated from this research is: for the object of research (BUS) provide a solution for BUS to deal with and overcome the vulnerabilities encountered and policies that must be done. For policy makers, the results of this study are expected to provide input in decision-making and other policies.Measurement of vulnerability to be performed related to banking operations in the face of competition and the continuity of BUS in Indonesia. The outcomes of this study are expected to be included in Bank Indonesia journals, the selection of this journal is based on studies conducted in the banking sector, especially BUS in Indonesia.

scholarly journals Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2308 ◽  
Author(s):  
Can Bıyık
Keyword(s):  
Urban Areas ◽  
Planning Process ◽  
Smart Cities ◽  
Radical Change ◽  
Urban Transport ◽  
Transport Systems ◽  
Structured Interviews ◽  
Policy Makers ◽  
Comprehensive Survey ◽  
Future Vision

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

scholarly journals Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China

2021 ◽  
Vol 13 (2) ◽  
pp. 284
Author(s):  
Dan Lu ◽  
Yahui Wang ◽  
Qingyuan Yang ◽  
Kangchuan Su ◽  
Haozhe Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Relative Error ◽  
Urban Areas ◽  
Large Scale ◽  
Population Distribution ◽  
Spatial Optimization ◽  
Distribution Data ◽  
Mountainous Areas ◽  
Mean Relative Error ◽  
Nighttime Light

The sustained growth of non-farm wages has led to large-scale migration of rural population to cities in China, especially in mountainous areas. It is of great significance to study the spatial and temporal pattern of population migration mentioned above for guiding population spatial optimization and the effective supply of public services in the mountainous areas. Here, we determined the spatiotemporal evolution of population in the Chongqing municipality of China from 2000–2018 by employing multi-period spatial distribution data, including nighttime light (NTL) data from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). There was a power function relationship between the two datasets at the pixel scale, with a mean relative error of NTL integration of 8.19%, 4.78% less than achieved by a previous study at the provincial scale. The spatial simulations of population distribution achieved a mean relative error of 26.98%, improved the simulation accuracy for mountainous population by nearly 20% and confirmed the feasibility of this method in Chongqing. During the study period, the spatial distribution of Chongqing’s population has increased in the west and decreased in the east, while also increased in low-altitude areas and decreased in medium-high altitude areas. Population agglomeration was common in all of districts and counties and the population density of central urban areas and its surrounding areas significantly increased, while that of non-urban areas such as northeast Chongqing significantly decreased.

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