scholarly journals An Assessment of Heatwave Impact in Enugu Metropolis of Enugu State

2020 ◽  
Author(s):  
Christian Chijioke Agu ◽  
Ikwuka Amarachi ◽  
Kamila Tukur ◽  
Hassan Omede ◽  
Blessing Kakushia Nwadike
Keyword(s):  
Local Government ◽  
Change Detection ◽  
Vegetation Index ◽  
City Center ◽  
Potential Implication ◽  
Enugu State ◽  
The Impact ◽  
Near Future ◽  
The City

Abstract Background: The context of this research the impact of heatwave within Enugu city center, with the aim to analyze the impact in the city metropolis of Enugu state which comprises of three local government areas namely Enugu East Enugu North and Enugu South.Result: From the result, our findings showed the increase in lst over the period of years and over 50% inhabitants feel discomfort, while the vegetation index reduced in year 2020.Conclusion: The summary of the research looked at the change detection, NDVI, LST, and thermal comfortablity index, the potential implication of the result shows that heatwave impact is more felt in the study area and, the city will become more hotter in the near future thereby making it unfavourable and un comfortable for people to live or habit.

scholarly journals An Assessment of Heatwave Impact in Enugu Metropolis of Enugu State

2020 ◽  
Author(s):  
Christian Chijioke Agu ◽  
Ikwuka Amarachi ◽  
Kamila Tukur ◽  
Hassan Omede ◽  
Blessing Kakushia Nwadike
Keyword(s):  
Local Government ◽  
Change Detection ◽  
Vegetation Index ◽  
City Center ◽  
Potential Implication ◽  
Enugu State ◽  
The Impact ◽  
Near Future ◽  
The City

Abstract Background: The context of this research the impact of heatwave within Enugu city center, with the aim to analyze the impact in the city metropolis of Enugu state which comprises of three local government areas namely Enugu East Enugu North and Enugu South.Result: From the result, our findings showed the increase in lst over the period of years and over 50% inhabitants feel discomfort, while the vegetation index reduced in year 2020.Conclusion: The summary of the research looked at the change detection, NDVI, LST, and thermal comfortablity index, the potential implication of the result shows that heatwave impact is more felt in the study area and, the city will become more hotter in the near future thereby making it unfavourable and un comfortable for people to live or habit.

scholarly journals An Assessment of Heatwave Impact in Enugu Metropolis of Enugu State

2020 ◽  
Author(s):  
Christian Chijioke Agu ◽  
Ikwuka Amarachi ◽  
Kamila Tukur ◽  
Hassan Omede ◽  
Blessing Kakushia Nwadike
Keyword(s):  
Local Government ◽  
Change Detection ◽  
Vegetation Index ◽  
City Center ◽  
Potential Implication ◽  
Enugu State ◽  
The Impact ◽  
Near Future ◽  
The City

Abstract BackgroundThe context of this research the impact of heatwave within Enugu city center, with the aim to analyze the impact in the city metropolis of Enugu state which comprises of three local government areas namely Enugu East Enugu North and Enugu South.ResultFrom the result, our findings showed the increase in lst over the period of years and over 50% inhabitants feel discomfort, while the vegetation index reduced in year 2020.ConclusionThe summary of the research looked at the change detection, NDVI, LST, and thermal comfortablity index, the potential implication of the result shows that heatwave impact is more felt in the study area and, the city will become more hotter in the near future thereby making it unfavourable and un comfortable for people to live or habit.

scholarly journals Impact of COVID-19 Pandemic on Retail Structure in Barcelona: From Tourism-Phobia to the Desertification of City Center

2021 ◽  
Vol 13 (15) ◽  
pp. 8215
Author(s):  
Lluís Frago Clols
Keyword(s):  
Multiple Scales ◽  
Real Estate Market ◽  
Structured Interviews ◽  
City Center ◽  
Urban Theory ◽  
The Real Estate ◽  
Tourist Flows ◽  
Before And After ◽  
The Impact ◽  
The City

COVID-19 has meant major transformations for commercial fabric. These transformations have been motivated by the collapse of consumer mobility at multiple scales. We analyzed the impact of the collapse of global tourist flows on the commercial fabric of Barcelona city center, a city that has been a global reference in over-tourism and tourism-phobia. Fieldwork in the main commercial areas before and after the pandemic and complementary semi-structured interviews with the main agents involved highlight the relationship between global tourist flows and commercial fabric. The paper shows how the end of global tourism has meant an important commercial desertification. The end of the integration of the city center into global consumer flows has implications for urban theory. It means a downscaling of the city center and the questioning of traditional center-periphery dynamics. It has been shown that the tourist specialization of commerce has important effects on the real estate market and makes it particularly vulnerable. However, the touristic specialization of commercial activities as a strategy of resilience has also been presented. This adaptation faces the generalized commercial desertification that drives the growing concentration of consumption around the online channel.

scholarly journals Seasonal Variations of Daytime Land Surface Temperature and Their Underlying Drivers over Wuhan, China

2021 ◽  
Vol 13 (2) ◽  
pp. 323
Author(s):  
Liang Chen ◽  
Xuelei Wang ◽  
Xiaobin Cai ◽  
Chao Yang ◽  
Xiaorong Lu
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Maximum Temperature ◽  
Maximum Temperature Difference ◽  
Rapid Urbanization ◽  
The Impact ◽  
The City

Rapid urbanization greatly alters land surface vegetation cover and heat distribution, leading to the development of the urban heat island (UHI) effect and seriously affecting the healthy development of cities and the comfort of living. As an indicator of urban health and livability, monitoring the distribution of land surface temperature (LST) and discovering its main impacting factors are receiving increasing attention in the effort to develop cities more sustainably. In this study, we analyzed the spatial distribution patterns of LST of the city of Wuhan, China, from 2013 to 2019. We detected hot and cold poles in four seasons through clustering and outlier analysis (based on Anselin local Moran’s I) of LST. Furthermore, we introduced the geographical detector model to quantify the impact of six physical and socio-economic factors, including the digital elevation model (DEM), index-based built-up index (IBI), modified normalized difference water index (MNDWI), normalized difference vegetation index (NDVI), population, and Gross Domestic Product (GDP) on the LST distribution of Wuhan. Finally, to identify the influence of land cover on temperature, the LST of croplands, woodlands, grasslands, and built-up areas was analyzed. The results showed that low temperatures are mainly distributed over water and woodland areas, followed by grasslands; high temperatures are mainly concentrated over built-up areas. The maximum temperature difference between land covers occurs in spring and summer, while this difference can be ignored in winter. MNDWI, IBI, and NDVI are the key driving factors of the thermal values change in Wuhan, especially of their interaction. We found that the temperature of water area and urban green space (woodlands and grasslands) tends to be 5.4 °C and 2.6 °C lower than that of built-up areas. Our research results can contribute to the urban planning and urban greening of Wuhan and promote the healthy and sustainable development of the city.

scholarly journals Understanding the Impact of Street Patterns on Pedestrian Distribution: A Case Study in Tianjin, China

2021 ◽  
Author(s):  
Qiang Sheng ◽  
Junfeng Jiao ◽  
Tianyu Pang
Keyword(s):  
Base Layer ◽  
City Center ◽  
Street Pattern ◽  
Gate Count ◽  
A Minor ◽  
The Impact ◽  
The City ◽  
Street Segments ◽  
Urban Functions

AbstractThis paper investigates the impact of street pattern, metro stations, and density of urban functions on pedestrian distribution in Tianjin, China. Thirteen neighborhoods are selected from the city center and suburbs. Pedestrian and vehicle volumes are observed through detailed gate count from 703 street segments in these neighborhoods. Regression models are constructed to analyze the impact of the street pattern, points of interest (POIs), and vehicle and metro accessibility on pedestrian volumes in each neighborhood and across the city. The results show that when analyzing all neighborhoods together, local street connectivity and POIs had a strong influence on pedestrian distribution. Proximity to metro stations and vehicle accessibility had a minor impact. When analyzing each neighborhood separately, both local- and city-scale street patterns affect pedestrian distributions. These findings suggest that the street pattern provides a base layer for metro stations to attract both the emergence of active urban functions and pedestrian movement.

scholarly journals Characteristics and Extent of Particulate Matter Emissions of a Ropeway Public Mobility System in the City Center of Perugia (Central Italy)

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1356
Author(s):  
Beatrice Moroni ◽  
Stefano Crocchianti ◽  
Federica Bruschi ◽  
Chiara Petroselli ◽  
Alessandro Di Menno di Bucchianico ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Central Italy ◽  
Road Dust ◽  
High Volume ◽  
Atmospheric Particulate Matter ◽  
Aerosol Sampling ◽  
City Center ◽  
Mobility System ◽  
The Impact ◽  
The City

Minimetrò (MM) is a ropeway public mobility system that has been in operation in the city of Perugia for about ten years to integrate with urban mobility and lighten vehicular traffic in the historic city center. The purpose of this work was to evaluate the impact of MM as a source of pollutants in the urban context, and the exposure of people in the cabins and the platforms along the MM line. These topics have been investigated by means of intensive measurement and sampling campaigns performed in February and June 2015 on three specific sites of the MM line representative of different sources and levels of urban pollution. Stationary and dynamic measurements of particle size distribution, nanoparticle and black carbon aerosol number and mass concentrations measurements were performed by means of different bench and portable instruments. Aerosol sampling was carried out using low volume and high-volume aerosol samplers, and the samples nalysed by off-line methods. Results show that MM is a considerable source of atmospheric particulate matter having characteristics very similar to those of the common urban road dust in Perugia. In the lack of clear indications on road dust effect, the contribution of MM to the aerosol in Perugia cannot be neglected.

scholarly journals Car ownership and commuting mode of the “original” residents in a high-density city center: A case study in Shanghai

2021 ◽  
Vol 14 (1) ◽  
pp. 105-124
Author(s):  
Tao Chen ◽  
Haixiao Pan ◽  
Yanbo Ge
Keyword(s):  
Public Transportation ◽  
Central Area ◽  
High Density ◽  
Easy Access ◽  
Urban Structure ◽  
City Center ◽  
Rapid Urbanization ◽  
Multinomial Logistic Model ◽  
The Impact ◽  
The City

As a result of rapid urbanization and motorization in China, numerous mega-cities have emerged, and large numbers of people live and work in the city centers. Consequently, developing a public transport-oriented urban structure and promoting sustainable development are major planning strategies for the country. To understand the impact of rail transit on motorization in a high-density city center, we conduct a household travel survey in three neighborhoods around metro stations in the central area of Shanghai. We examine the car buying and commuting behavior of those Shanghai “original” residents who lived there when the city began growing, engulfing them in the center. Studies have shown that 40 percent of commuters in the city center commute outward, following a virtually reversed commute pattern, and the factors significantly affecting their car purchasing choice include their attitude toward cars and transit, household incomes, ownership of the apartments they live in, and the distance between family members’ workplaces and nearest metro stations. Despite easy access to the metro from their home in the city center, those who purchase their apartment units also likely own a car, while those who rent their apartment units are less likely to own a car; however, these odds are still higher than for those who live in an apartment unit inherited from their relatives or provided by their company. In the city center, if a family owns a car, then that car would almost certainly be used for daily commuting. A multinomial logistic model is applied to examine the factors influencing the tendency for using cars. The results show that people’s choices of commuting by alternative modes rather than cars are also shaped by their attitude toward public transportation, but other factors can also subtly change people’s commuting behavior under certain conditions. The commuting distance discourages people from walking and taking buses (but not metro). As the egress distance to the workplace increases, the metro becomes less appealing than cars. Mixed land use encourages people to walk or take buses instead of driving. Older people prefer riding buses and walking to driving, and female respondents tend to prefer walking, cycling, and riding the metro to driving compared to male respondents. These findings contribute to understanding the behavior of people who are familiar with public transportation and how to encourage them to switch from driving cars to alternative transport modes.

scholarly journals Responsive Leadership in Preventing Transmission of Covid-19 in the Indonesia-Malaysia Border Area

2020 ◽  
Author(s):  
Oskar Hutagaluh ◽  
Andi Rustam ◽  
Suwandi S. Sangadji ◽  
Ilfan Baharuddin ◽  
Ardhariksa Zukhruf Kurniullah
Keyword(s):  
Local Government ◽  
Human Health ◽  
Respiratory System ◽  
Daily Activities ◽  
Border Area ◽  
Rapid Responses ◽  
Event Category ◽  
Border Communities ◽  
The Impact ◽  
The City

The spread of the COVID-19 is increasingly globalized to have an impact not only on human health but also on all lines of life that requires rapid responses with anticipatory and preventive steps before its effects become worse. All countries feel the impact of outbreak, which moves so fast, including border communities. Today, COVID-19 travels through the human respiratory system to one another and from one area to another including Sambas area. The purpose of this study was to investigate the leadership responses and efforts to prevent the spread of this global disease on the Malaysia-Indonesia border area, precisely in the city of Sambas. We divided the findings into two. First, the spread of COVID-19 in Sambas was declared an extraordinary event category, because Sambas is located in the border area between Malaysia and Indonesia, where the community's largest livelihood is working in Malaysia. Second, when Sambas was declared an extraordinary category of the spread of that deadly virus, the local government responded to this incident by setting specific policies, including not carrying out religious or other rituals that invited crowds. On one hand. the Sambas community responded well to the policy. However, for certain reason the local Sambal are still carried out daily activities with the excuse for daily needs.

The Satisfaction of the Citizens with the Place and the Impact of This Evaluation on Local Government Management

2016 ◽  
pp. 294-322
Author(s):  
Héctor Oscar Nigro ◽  
Sandra Elizabeth González Císaro
Keyword(s):  
Local Government ◽  
Structural Equation ◽  
Municipal Governments ◽  
Citizen Satisfaction ◽  
Satisfaction Index ◽  
Job Opportunities ◽  
Government Management ◽  
Local Government Management ◽  
The Impact ◽  
The City

Sometimes, the satisfaction of the citizens with the city in which they live is high, but local and municipal governments do not get much credit for it. It is important for local and municipal authorities to understand what they can control and what they cannot. Then, they can focus on the most important factors that can affect citizens. A causal model based on partial least squares structural equation will be proposed. The Citizen Satisfaction Index (CSI) model developed by Zenker, Petersen, and Aholt (2013) is taken as reference. This model discusses that overall satisfaction with a place is mainly described by four different basic factors: Urbanity and Diversity, Nature and Recreation, Job Opportunities and Cost-efficiency. The aim of this work was the presentation of our model of Citizen Satisfaction with local Government Management and the comparison between our results and the Duffy et al. (2010) model.

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