Urbanization effects on spatial-temporal differentiation of tree communities in high-density residential areas

2015 ◽  
Vol 18 (4) ◽  
pp. 1081-1101 ◽  
Author(s):  
C. Y. Jim ◽  
Hao Zhang
Keyword(s):  
High Density ◽  
Residential Areas ◽  
Temporal Differentiation ◽  
Tree Communities

Visual Ecological Design of High-Density Urban Residential Area Based on Green Seeing Ratio

2013 ◽  
Vol 838-841 ◽  
pp. 2923-2927
Author(s):  
Zheng Wang Wu ◽  
Ze Yu
Keyword(s):  
Open Space ◽  
Residential Area ◽  
Effective Index ◽  
High Density ◽  
Ecological Design ◽  
Residential Areas ◽  
Space Design ◽  
Detail Design ◽  
Planning And Design ◽  
Planning And Construction

The article proposed that the green seeing ratio should be introduced in high density planning and design of residential area in China, pointing out that the green seeing ratio is a clear, effective index of strong operational in visual ecological design. It is necessary and feasible that the green seeing ratio as a evaluation index in the planning and construction of high density urban residential area in China. Advocates to take a combination of centralized and decentralized groups-residential areas and other ways of planning that by reducing the area of road, natural green details, take the tortuous roads and other methods can effectively improve the green seeing ratio. Some guidelines being followed in the building layout, open space design, road shape, plant greening in the detail design can effectively improve the green seeing ratio of high density residential area.

scholarly journals Building Extraction from High Resolution Space Images in High Density Residential Areas in the Great Cairo Region

2011 ◽  
Vol 3 (4) ◽  
pp. 781-791 ◽  
Author(s):  
Ibrahim F. Shaker ◽  
Amr Abd-Elrahman ◽  
Ahmed K. Abdel-Gawad ◽  
Mohamed A. Sherief
Keyword(s):  
High Resolution ◽  
High Density ◽  
Building Extraction ◽  
Residential Areas ◽  
Space Images

Spatial analysis of the factors influencing housing quality for renters in a traditional Nigerian city

2019 ◽  
Vol 12 (2) ◽  
pp. 181-209
Author(s):  
Falilat Yetunde Olowu ◽  
Emmanuel Babatunde Jaiyeoba ◽  
Hafeez Idowu Agbabiaka ◽  
Olawunmi Johnson Daramola
Keyword(s):  
Rental Housing ◽  
High Density ◽  
Housing Quality ◽  
Systematic Sampling ◽  
Low Density ◽  
Medium Density ◽  
Residential Areas ◽  
Content Type ◽  
Factors Influencing ◽  
Housing Characteristics

Purpose Rental housing is an important form of accommodation; evaluating its quality will improve the quality of designs, standard living of renters, new dimension to policy guiding rental housing and enhance the values of rental houses. This study aims to examine the factors influencing rental housing quality in Ile-Ife, Nigeria. Design/methodology/approach Multi-stage sampling procedure was used to select tenants for the study. Residential areas were stratified into three densities: high, medium and low. Out of the 18 residential areas identified, six, eight and four were in the high, medium and low densities, respectively. Five residential areas were selected based on high concentrations of rental housing. The selected areas are Mokuro and Iloro (high density), Ife City and Eleyele (medium density) and Aladanla (low density). Systematic sampling technique was used to select 550 buildings where an adult tenant was selected per building for questionnaire administration. Findings The results of the principal component analysis established that four factors were generated for the high-density, nine factors for the medium-density and five factors for low-density areas as the major factors influencing rental housing quality. The variation in the number of factors generated and the percentage variance explained by the factors could be associated to the peculiarities across the densities in terms of the socioeconomic characteristics and housing characteristics of the renters. Originality/value This study examined the factors influencing housing quality for renters in Ile-Ife, Nigeria. It provides information on the three residential densities in terms of the variation in their housing morphology. The study went further to establish the relationship among the three musketeers such as socioeconomic characteristic of renters, housing characteristics and housing quality, under three dimensions environmental, internal building and external Building. Therefore, the contribution of this study strengthens the position that a minimum standard and schedule of upgrade and maintenance should be meted out for landlords to carry out repairs at interval, so as to make the housing unit and environment habitable for tenants.

Morphological House Extraction from Digital Surface Model and Imagery of High-Density Residential Areas

2016 ◽  
Vol 82 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Yan Li ◽  
Lin Zhu ◽  
Kikuo Tachibana ◽  
Hideki Shimamura ◽  
Manchun Li
Keyword(s):  
High Density ◽  
Surface Model ◽  
Digital Surface Model ◽  
Residential Areas

Abstract 12132: Diurnal Variation in Citizen Responder and Automated External Defibrillation Coverage of Out-of-Hospital Cardiac Arrest in Denmark According to Area Types

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Nanna B Christensen ◽  
Fredrik Folke ◽  
Julie Kjoelbye ◽  
Louise Kollander Jakobsen ◽  
Anne J Jørgensen ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Time Of Day ◽  
High Density ◽  
Geographical Information ◽  
Residential Areas ◽  
High Coverage ◽  
Automated External Defibrillation ◽  
Working Day ◽  
Leisure Facilities ◽  
Hospital Cardiac Arrest

Introduction: Following the implementation of the Danish AED network and a nationwide citizen responder (CR) program for out-of-hospital cardiac arrest (OHCA), CR and AED coverage for OHCAs according to area types has not been investigated. We aimed to assess AED and CR coverage of historical OHCAs according to area types in daytime (12pm) and nighttime (12am). Methods: We included non-EMS witnessed OHCAs from the Danish Cardiac Arrest Registry (2016-2019) and AEDs registered with the Danish AED network (November 2020) available at 12am (n=22,418) and 12pm (n=14,734). Exact locations of CRs who were registered with the national CR program by December 2020 were identified on a normal working day (Wednesday, December 2, 2020) at 12am and 12pm (representing day- and nighttime location). OHCAs, AEDs, and CRs were identified and geocoded using a geographical information system. Urban Atlas was used to categorize areas into subgroups using satellite images; high density residential areas, low density residential areas, public and industrial sites, nature, sport and leisure facilities, transportation (e.g. airport and railway stations), and fast transit roads. Results: A total of 10,126 OHCAs (63.0% male, median age 73 years). We mapped 14,119 AEDs (12 pm) and 24,372 CR (12 pm) in Urban Atlas. Most OHCAs in all area types were covered by >= 1 AED. A greater variation was observed in CR coverage when compared to AED coverage, according to area type. Little difference in coverage of both AED and CR according to time of day was observed. (Figure 1) Conclusion: The highest CR and AED coverage were observed in high density residential areas, transportation sites, public and industrial areas, and sport and leisure facilities, which is where most OHCAs occurred. These findings indicate a high coverage of citizen responders and AEDs in Denmark.

The potential of tree planting to climate-proof high density residential areas in Manchester, UK

2012 ◽  
Vol 104 (3-4) ◽  
pp. 410-417 ◽  
Author(s):  
Justine M. Hall ◽  
John F. Handley ◽  
A. Roland Ennos
Keyword(s):  
High Density ◽  
Tree Planting ◽  
Residential Areas

scholarly journals Modeling the Impact of Urbanization on Local Meteorological Conditions in Sofia

Atmosphere ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 366 ◽  
Author(s):  
Reneta Dimitrova ◽  
Ventsislav Danchovski ◽  
Evgenia Egova ◽  
Evgeni Vladimirov ◽  
Ashish Sharma ◽  
...  
Keyword(s):  
Land Cover ◽  
Urban Areas ◽  
Meteorological Conditions ◽  
High Density ◽  
Anthropogenic Heat ◽  
Additional Stress ◽  
Residential Areas ◽  
Hypothetical Scenario ◽  
Impact Of Urbanization ◽  
The Impact

Increasing urbanization impacts the local meteorology and the quality of life for residents. Urban surface characteristics and anthropogenic heat stress lead to urban heat island effects, changes in local circulations, precipitation alteration, and amendment of the local fluxes. These modifications have a direct effect on the life and health of residents. In this study, we assessed the impact of urbanization in Sofia (Bulgaria) using the Weather Research and Forecasting (WRF) model at 500 m resolution for the summer period of 2016. We utilized the CORINE (coordination of information on the environment) 2012 land cover database to represent the urban areas in four detailed land cover types, i.e., high-intensity residential areas, low-intensity residential areas, medium/industrial areas, and developed open spaces. We performed two experiments; in the first, we substituted an urban area with the most representative rural land cover to delineate the current impact of urbanization, while in the second, we replaced the existing built-up area (all four categories) with a hypothetical scenario of high-density residential land cover showing aggressive urban development. These experiments addressed the impact of land use changes as well as the extreme effects of ongoing high-density construction on the local meteorological conditions. The results showed that urban temperatures can increase by 5 °C and that moisture can decrease by 2 g/kg in the central part of Sofia in comparison to surrounding rural areas. The results also showed that building higher and dense urban areas can significantly increase heat flux and add additional stress to the environment.

scholarly journals COVID-19 is moving to high-density, poor residential areas in Metropolitan Manila, Philippines

2021 ◽  
Vol 12 (1) ◽  
pp. 53-55
Author(s):  
Chris Smith ◽  
Eumelia Salva Villarama ◽  
Edmundo Lopez ◽  
Ana Ria Sayo ◽  
Xerxes Seposo ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
High Density ◽  
Residential Areas ◽  
Imported Cases

We describe three waves of COVID-19 infections in Manila. First, imported cases among Chinese nationals; second, infections amongst Filipinos residing in less densely populated areas; and third, infections amongst Filipinos residing in high-density areas. We highlight this using admissions data from the National Infectious Diseases hospital in Manila.

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