Economic and environmental benefits of 3-wheeler electric vehicles during covid-19: A case study of Rajshahi, Bangladesh

2021 ◽  
pp. 38-44
Author(s):  
Md. Raquibul Hasan
Keyword(s):  
Air Quality ◽  
Labour Market ◽  
Electric Vehicles ◽  
Vital Role ◽  
Google Earth ◽  
Environmental Benefits ◽  
Industrial Emissions ◽  
Market Impacts ◽  
The Impact

This paper provides an insight into the labour market impacts of the COVID-19 crisis in Bangladesh, focusing on Rajshahi City Corporation. A survey was built to collect data about job switching nature before and during the crisis to shed light on the implications of COVID-19 on employment and earnings. The findings presented here indicate substantial labour market impacts both at the extensive and intensive margin, mainly due to the nature of the crisis's occupations. And the sufferers switch their jobs to 3-wheeler EVs industry as a driver or mechanic. Bus helper job was the most susceptible job during the pandemic, followed by garments. Due to the countrywide lockdown, emissions from vehicles were restricted, it was found that the air quality has been improved throughout the country during the lockdown. And 3-wheeler electric vehicles play a vital role to ease this issue. The study also assesses the impact of lockdown measures on air quality in Rajshahi. Four different air pollutants data from the google earth engine (NO2, SO2, CO, and O3) were analyzed. The study evaluated that the lockdown measures significantly reduced air pollution because of reduced vehicular and industrial emissions in Bangladesh.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

scholarly journals Electric Vehicles in Jordan: Challenges and Limitations

2021 ◽  
Vol 13 (6) ◽  
pp. 3199
Author(s):  
Laith Shalalfeh ◽  
Ashraf AlShalalfeh ◽  
Khaled Alkaradsheh ◽  
Mahmoud Alhamarneh ◽  
Ahmad Bashaireh
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Distribution Systems ◽  
Environmental Benefits ◽  
System Stability ◽  
Loading Conditions ◽  
Stability Margins ◽  
High Penetration ◽  
Node Distribution ◽  
The Impact

An increasing number of electric vehicles (EVs) are replacing gasoline vehicles in the automobile market due to the economic and environmental benefits. The high penetration of EVs is one of the main challenges in the future smart grid. As a result of EV charging, an excessive overloading is expected in different elements of the power system, especially at the distribution level. In this paper, we evaluate the impact of EVs on the distribution system under three loading conditions (light, intermediate, and full). For each case, we estimate the maximum number of EVs that can be charged simultaneously before reaching different system limitations, including the undervoltage, overcurrent, and transformer capacity limit. Finally, we use the 19-node distribution system to study these limitations under different loading conditions. The 19-node system is one of the typical distribution systems in Jordan. Our work estimates the upper limit of the possible EV penetration before reaching the system stability margins.

scholarly journals Google Earth Engine as Multi-Sensor Open-Source Tool for Supporting the Preservation of Archaeological Areas: The Case Study of Flood and Fire Mapping in Metaponto, Italy

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1791
Author(s):  
Carmen Fattore ◽  
Nicodemo Abate ◽  
Farid Faridani ◽  
Nicola Masini ◽  
Rosa Lasaponara
Keyword(s):  
Open Source ◽  
Archaeological Site ◽  
Unsupervised Classification ◽  
Google Earth ◽  
Heritage Sites ◽  
Cultural Properties ◽  
Google Earth Engine ◽  
Archaeological Areas ◽  
The Impact

In recent years, the impact of Climate change, anthropogenic and natural hazards (such as earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely affected modern and past human buildings including outstanding cultural properties and UNESCO heritage sites. Research about protection/monitoring of cultural heritage is crucial to preserve our cultural properties and (with them also) our history and identity. This paper is focused on the use of the open-source Google Earth Engine tool herein used to analyze flood and fire events which affected the area of Metaponto (southern Italy), near the homonymous Greek-Roman archaeological site. The use of the Google Earth Engine has allowed the supervised and unsupervised classification of areas affected by flooding (2013–2020) and fire (2017) in the past years, obtaining remarkable results and useful information for setting up strategies to mitigate damage and support the preservation of areas and landscape rich in cultural and natural heritage.

scholarly journals Citizen as Sensors' Commitment in Urban Public Action

2019 ◽  
Vol 8 (4) ◽  
pp. 42-59 ◽  
Author(s):  
Gwendoline l'Her ◽  
Myriam Servières ◽  
Daniel Siret
Keyword(s):  
Air Quality ◽  
Citizen Science ◽  
Urban Air Quality ◽  
Urban Air ◽  
The Public ◽  
Public Action ◽  
Quality Issue ◽  
Data Analyses ◽  
The Impact

Based on a case study in Rennes, the article presents how a group of urban public actors re-uses methods and technology from citizen sciences to raise the urban air quality issue in the public debate. The project gives a group of inhabitants the opportunity to follow air quality training and proceed PM2.5µm measurements. The authors question the impact of the ongoing hybridisation between citizen science and urban public action on participants' commitment. The authors present how the use of PM2.5-sensors during 11 weeks led to a disengagement phenomenon, even if the authors observe a strong participation to workshops. These results come from an interdisciplinary methodology using observations, interviews, and data analyses.

scholarly journals Exploring the Dynamics of Urban Greenness Space and Their Driving Factors Using Geographically Weighted Regression: A Case Study in Wuhan Metropolis, China

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 500
Author(s):  
Chengjie Yang ◽  
Ruren Li ◽  
Zongyao Sha
Keyword(s):  
Urban Planning ◽  
Geographically Weighted Regression ◽  
Driving Forces ◽  
Vital Role ◽  
Google Earth ◽  
Weighted Regression ◽  
Landscape Indices ◽  
Aggregation Index ◽  
Terrain Elevation

Urban greenness plays a vital role in supporting the ecosystem services of a city. Exploring the dynamics of urban greenness space and their driving forces can provide valuable information for making solid urban planning policies. This study aims to investigate the dynamics of urban greenness space patterns through landscape indices and to apply geographically weighted regression (GWR) to map the spatially varied impact on the indices from economic and environmental factors. Two typical landscape indices, i.e., percentage of landscape (PLAND) and aggregation index (AI), which measure the abundance and fragmentation of urban greenness coverage, respectively, were taken to map the changes in urban greenness. As a case study, the metropolis of Wuhan, China was selected, where time-series of urban greenness space were extracted at an annual step from the Landsat collections from Google Earth Engine during 2000–2018. The study shows that the urban greenness space not only decreased significantly, but also tended to be more fragmented over the years. Road network density, normalized difference built-up index (NDBI), terrain elevation and slope, and precipitation were found to significantly correlate to the landscape indices. GWR modeling successfully captures the spatially varied impact from the considered factors and the results from GWR modeling provide a critical reference for making location-specific urban planning.

scholarly journals Assessment of the Impact of CO, NOx and PM10 on Air Quality during Road Construction and Operation Phases

2020 ◽  
Vol 12 (24) ◽  
pp. 10549
Author(s):  
Marinella Giunta
Keyword(s):  
Air Quality ◽  
Comprehensive Evaluation ◽  
Dispersion Model ◽  
Road Construction ◽  
Air Emissions ◽  
Unpaved Road ◽  
The Road ◽  
The Impact ◽  
Co Concentrations

The road sector is one of the main sources of air emissions in the atmosphere during both construction and operation. The objective of the present paper is a comprehensive evaluation of the impact on air quality during the two main phases of life cycle of roads. In this case study of a motorway project, the emissions of the primary pollutants, CO, NOx, and PM10 are estimated, and the results showed that (i) CO and NOx pollutants released during both phases are comparable, while the emissions of PM10 are more significant in the construction phase; (ii) 85% of PM10 in construction is due to storage, transit on unpaved road, and crushing; (iii) the portals of the tunnel are the sites where there are higher concentrations of pollutants in operation; and (iv) the CO concentrations estimated by the dispersion model are strongly influenced by the topography.

Impact of Residential and Public Charging Stations of Electric Vehicles on Distribution System by Stochastic Simulation

2015 ◽  
Vol 1092-1093 ◽  
pp. 375-380
Author(s):  
Suthida Ruayariyasub ◽  
Sompon Sirisumrannukul ◽  
Suksan Wangsatitwong
Keyword(s):  
Monte Carlo ◽  
Electric Vehicles ◽  
Distribution System ◽  
Stochastic Approach ◽  
Local Distribution ◽  
Battery Charging ◽  
Proposed Model ◽  
Charging Stations ◽  
The Impact

This paper investigates the impact of electric vehicles battery charging on the distribution system load if electric vehicles (EVs) are widespread used on roads. Stochastic approach based on a Monte Carlo method is developed in this study to simulate EVs charging load in two cases: 1) normal charge service at home, and 2) quick charge service at public charging stations. To demonstrate the model, a 22-kV distribution system of Pattaya City operated by Provincial Electricity Authority of Thailand (PEA) is employed in the case study. The results indicate the capability of the proposed model to exhibit the impact of EVs charging load on the local distribution system.

scholarly journals IMPACT OF STREETSCAPING ON HUMAN PSYCHOLOGY

2018 ◽  
Vol 6 (10) ◽  
pp. 158-168
Author(s):  
Kavya Trivedi ◽  
Soma Anil Mishra ◽  
Kunika Gehlot
Keyword(s):  
Statistical Data ◽  
Vital Role ◽  
Human Being ◽  
Human Psychology ◽  
Jane Jacobs ◽  
Two Cities ◽  
The Impact ◽  
The City

This research is subjected to the study of the impact of street scape on human psychology. The study mainly focuses on the importance of the design of sidewalks on the street so that it can’t become the space for the criminal activities as described by the journalist jane Jacobs. The research also aims to study the role of urbanization in changing the street scaping of the cities. The study comprises of the statistical data which is the output of the survey conducted by the researcher and live case study of the streets of two cities i.e. Chandigarh and Pune.42% Part of the city are imbued with streets and therefore they play a vital role on the psychology of a human being. Keeping this in mind, the research is made on how streets could be designed in a manner that create the surrounding safe and happier to live.

Sign in / Sign up

Export Citation Format

Share Document