Dynamic Household Vehicle Decision Modeling Considering Plug-In Electric Vehicles

2018 ◽  
Vol 2672 (49) ◽  
pp. 91-100
Author(s):  
Fatemeh Nazari ◽  
Abolfazl (Kouros) Mohammadian ◽  
Thomas Stephens
Keyword(s):  
Decision Making ◽  
Electric Vehicles ◽  
Choice Model ◽  
Cost Savings ◽  
Critical Factor ◽  
Capital Cost ◽  
Environmental Benefits ◽  
Data Set ◽  
Vehicle Type ◽  
Upper Level

Plug-in electric vehicles (PEVs) offer alternatives to traditional vehicles that rely on petroleum-based fuels. While PEV customers can enjoy significant reductions in fuel costs, they incur a larger capital cost than users of traditional vehicles because PEV technology is still maturing. Therefore, consumers adopting PEVs face a trade-off between fuel cost savings with environmental benefits and extra capital cost. It is thus crucial for policy makers and PEV manufacturers to understand people’s vehicle decision-making process while considering their socio-economic and travel pattern characteristics as well as the built-environment factors. This paper presents a connected, two-stage, dynamic model of PEV adoption and vehicle-transaction decision-making. Two connected nested logit (NL) models are estimated. The upper level is a two-level NL model to predict choice of vehicle type between four fuel types: gasoline, diesel, hybrid gasoline–electric, and PEV. The lower level is an NL model of vehicle-transaction choice which accommodates four transaction decisions of buy, trade, dispose, and do nothing, while accounting for the log-sum from the vehicle-type choice model, and is estimated using two waves of a panel data set. We find that households with higher levels of income and education are more likely to adopt a PEV. We also found that primarily decision makers take into account the accessibility to charging stations as a critical factor in choosing PEVs.

scholarly journals Are There Environmental Benefits from Driving Electric Vehicles? The Importance of Local Factors

2016 ◽  
Vol 106 (12) ◽  
pp. 3700-3729 ◽  
Author(s):  
Stephen P. Holland ◽  
Erin T. Mansur ◽  
Nicholas Z. Muller ◽  
Andrew J. Yates
Keyword(s):  
Air Pollution ◽  
Discrete Choice ◽  
Electric Vehicles ◽  
Choice Model ◽  
Environmental Benefits ◽  
Environmental Externalities ◽  
Deadweight Loss ◽  
Local Factors ◽  
Vehicle Purchase ◽  
Air Pollution Model

We combine a theoretical discrete-choice model of vehicle purchases, an econometric analysis of electricity emissions, and the AP2 air pollution model to estimate the geographic variation in the environmental benefits from driving electric vehicles. The second-best electric vehicle purchase subsidy ranges from $2,785 in California to −$4,964 in North Dakota, with a mean of −$1,095. Ninety percent of local environmental externalities from driving electric vehicles in one state are exported to others, implying they may be subsidized locally, even when the environmental benefits are negative overall. Geographically differentiated subsidies can reduce deadweight loss, but only modestly. (JEL D12, D62, H23, L62, Q53, Q54, R11)

Hesitant fuzzy linguistic TOPSIS method for the electric vehicles’ charging stations location selection problem and an application for Istanbul

2020 ◽  
Vol 39 (5) ◽  
pp. 6391-6406
Author(s):  
Zeynep Tugce Kalender ◽  
Huseyin Selcuk Kilic ◽  
Gulfem Tuzkaya ◽  
Busra Gulnihan Dascioglu
Keyword(s):  
Decision Making ◽  
Electric Vehicles ◽  
Critical Role ◽  
Environmentally Benign ◽  
Location Selection ◽  
Vehicle Type ◽  
Decision Making Problem ◽  
Charging Stations ◽  
Fuzzy Linguistic

The prevalence of environmental studies in the academy has increased in recent years, depending on the adverse effects of global warming on natural resources. Besides various environmentally benign applications, one of the most important instruments on eliminating the negative environmental effects of an increasing population is electric vehicles. There are various topics within the concept of electric vehicles, including the determination of electric vehicle type, routing, network design, and so on. However, in this study, determining the locations of electric charging stations is the main focus. The problem is handled as a multi-criteria decision-making problem with the consideration of the uncertainties in the decision-making environment. Specifically, the judgments of decision-makers play a critical role in the success of decisions, but for a decision-maker, it is usually difficult to express his/her preferences by using only one linguistic term due to the structure of some criteria type. Hence, with the proposed methodology, in this study, criteria are firstly classified as fuzzy and crisp according to their objective or subjective characteristics. Afterwards, besides the utilization of classic techniques for crisp type criteria, probabilistic linguistic terms sets are utilized for fuzzy type criteria with an extended version of TOPSIS. The proposed methodology is used for the comparison of 39 alternative electric charging locations in Istanbul, which is one of the most crowded cities in Europe.

scholarly journals A Charging Location Choice Model for Plug-In Hybrid Electric Vehicle Users

2019 ◽  
Vol 11 (20) ◽  
pp. 5761 ◽  
Author(s):  
Bolong Yun ◽  
Daniel (Jian) Sun ◽  
Yingjie Zhang ◽  
Siwen Deng ◽  
Jing Xiong
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Choice Model ◽  
Environmental Benefits ◽  
The Public ◽  
Home Based ◽  
Hybrid Electric ◽  
Charging Stations ◽  
The Relationship

Electric vehicles (EVs) are promising alternatives to replace traditional gasoline vehicles. The relationship between available charging stations and electric vehicles has to be precisely coordinated to facilitate the increasing promotion and usage of EVs. This paper aims to investigate the choice of the charging location with global positioning system (GPS) trajectories of 700 Plug-in Hybrid Electric Vehicle (PHEV) users as well as the charging facility data in Shanghai. First, the recharge accessibility of each PHEV user was investigated, and 9% rely solely on public charging networks. Then, we explored the relationship between fuel consumption and the average distance between charging to analyze the environmental benefits of PHEVs. It was found that 16% PHEVs are similar to EVs, and 9% whose drivers rely solely on public charging stations are similar to internal combustion engine (ICE) vehicles. PHEV users were divided into four types based on the actual recharge access: home and workplace-based user (private + workplace + public), the home-based user (private + public), the workplace-based user (workplace + public), and the public-based user (public). Models were developed to identify and compare the factors that influence PHEV user’s charging location choices (home, workplace, and public stations). The modeling and results interpretation were carried out for all PHEV users, home and workplace-based users, home-based users, and workplace-based users, respectively. The estimation results demonstrated that PHEV users tended to charge at home or workplace rather than public charging stations. Charging price, charging price tariff, the initial state of charge (SOC), dwell time, charging power, the density and size of public charging stations, the total number of public charging, vehicle kilometer travel (VKT) of the current trip and current day are the main predictors when choosing the charging location. Findings of this study may provide new insights into the operational strategies of the public charging station as well as the deployment of public charging facilities in urban cities.

Collaborative Action Research In Academic Administration

2019 ◽  
Vol 8 (3) ◽  
pp. 227-252
Author(s):  
Bradley C. Thompson
Keyword(s):  
Decision Making ◽  
Action Research ◽  
Collaborative Action Research ◽  
Team Members ◽  
Academic Administration ◽  
Leadership Culture ◽  
Collaborative Action ◽  
Working Together ◽  
Upper Level ◽  
Action Process

This research involved a study exploring the changes in an academic institution expressed through decision-making in a shifting leadership culture. Prior to the study, the school was heavily entrenched in authoritarian and centralized decision-making, but as upper-level administrators were exposed to the concept of collaborative action research, they began making decisions through a reflection and action process. Changing assumptions and attitudes were observed and recorded through interviews at the end of the research period. The research team engaged in sixteen weekly cycles of reflection and action based on an agenda they mutually agreed to and through an analysis of post-research interviews, weekly planning meetings, discussions, and reflection and action cycles. Findings revealed experiences centering around the issues of:  The nature of collaboration- it created discomfort, it created a sense of teamwork, it created difficulty.  The change of environment in the process- team members began to respect each other more, and the process became more enjoyable.  The freedom and change in the process- freedom to voice opinions and to actively listen, the use of experience to lead elsewhere in the school.  How issues of power are better understood by working together- the former process was less collaborative, politics will always be part of the process. As a result of this study, members have started using this decision-making methodology in other areas of administration.

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 Socio-Technical Viability Framework for Micro Hydropower in Group Water-Energy Schemes

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4222
Author(s):  
Kemi Adeyeye ◽  
John Gallagher ◽  
Aonghus McNabola ◽  
Helena M. Ramos ◽  
Paul Coughlan
Keyword(s):  
Cost Savings ◽  
Environmental Benefits ◽  
Technology Readiness ◽  
Water Networks ◽  
Policy Context ◽  
Recovery Potential ◽  
Sustainability Strategy ◽  
Financial Benefits ◽  
Group Water ◽  
Political Dimensions

Most renewable energy (RE) studies focus on technology readiness, environmental benefits and/or cost savings. The market permeation, viability and adoption of RE technologies such as micro hydropower (MHP), however, require the alignment of other interrelated factors, such as the socio-technical, institutional and political dimensions. This is particularly the case where the energy recovery potential in decentralised water networks is being explored as part of a wholesome sustainability strategy by and for individual and communal prosumers. This study employs a socio-technical approach to understand factors that influence the perceived viability and adoption of MHP in group water-energy schemes. Methods included a progressive literature review to formulate a conceptual framework for the implementation of MHP systems. The framework was validated using survey data from representative stakeholders from groups schemes in Ireland and Spain. These stakeholders were sampled and surveyed at the stage of considering the adoption of MHP in their water networks. The findings highlight the push–pull factors and discusses the opportunities and barriers to the adoption of MHP systems. It confirms that the market, institutional and policy context, cost and financial benefits, social support and collaborative services combine to influence the adoption of MHP technology. Thus, a framework for evaluating the socio-technical viability of MHP systems based on these more realistic integrated, multi-dimensional criteria is proposed.

scholarly journals Economic Development Based on a Mathematical Model: An Optimal Solution Method for the Fuel Supply of International Road Transport Activity

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2963
Author(s):  
Melinda Timea Fülöp ◽  
Miklós Gubán ◽  
György Kovács ◽  
Mihály Avornicului
Keyword(s):  
Decision Making ◽  
Ad Hoc ◽  
Market Competition ◽  
Optimal Solution ◽  
Cost Savings ◽  
Cost Effective ◽  
Optimization Method ◽  
Optimal Decision ◽  
Environmental Damage ◽  
Fuel Cost

Due to globalization and increased market competition, forwarding companies must focus on the optimization of their international transport activities and on cost reduction. The minimization of the amount and cost of fuel results in increased competition and profitability of the companies as well as the reduction of environmental damage. Nowadays, these aspects are particularly important. This research aims to develop a new optimization method for road freight transport costs in order to reduce the fuel costs and determine optimal fueling stations and to calculate the optimal quantity of fuel to refill. The mathematical method developed in this research has two phases. In the first phase the optimal, most cost-effective fuel station is determined based on the potential fuel stations. The specific fuel prices differ per fuel station, and the stations are located at different distances from the main transport way. The method developed in this study supports drivers’ decision-making regarding whether to refuel at a farther but cheaper fuel station or at a nearer but more expensive fuel station based on the more economical choice. Thereafter, it is necessary to determine the optimal fuel volume, i.e., the exact volume required including a safe amount to cover stochastic incidents (e.g., road closures). This aspect of the optimization method supports drivers’ optimal decision-making regarding optimal fuel stations and how much fuel to obtain in order to reduce the fuel cost. Therefore, the application of this new method instead of the recently applied ad-hoc individual decision-making of the drivers results in significant fuel cost savings. A case study confirmed the efficiency of the proposed method.

scholarly journals Self-fill oxygen technology: benefits for patients, healthcare providers and the environment

Breathe ◽  
2016 ◽  
Vol 12 (2) ◽  
pp. 113-119 ◽  
Author(s):  
Phyllis Murphie ◽  
Nick Hex ◽  
Jo Setters ◽  
Stuart Little
Keyword(s):  
Positive Impact ◽  
Healthcare Providers ◽  
Cost Savings ◽  
Cost Effective ◽  
Evidence Base ◽  
Environmental Benefits ◽  
List Type ◽  
Potential Cost ◽  
Unlimited Supply ◽  
Technology Benefits

“Non-delivery” home oxygen technologies that allow self-filling of ambulatory oxygen cylinders are emerging. They can offer a relatively unlimited supply of ambulatory oxygen in suitably assessed people who require long-term oxygen therapy (LTOT), providing they can use these systems safely and effectively. This allows users to be self-sufficient and facilitates longer periods of time away from home. The evolution and evidence base of this technology is reported with the experience of a national service review in Scotland (UK). Given that domiciliary oxygen services represent a significant cost to healthcare providers globally, these systems offer potential cost savings, are appealing to remote and rural regions due to the avoidance of cylinder delivery and have additional lower environmental impact due to reduced fossil fuel consumption and subsequently reduced carbon emissions. Evidence is emerging that self-fill/non-delivery oxygen systems can meet the ambulatory oxygen needs of many patients using LTOT and can have a positive impact on quality of life, increase time spent away from home and offer significant financial savings to healthcare providers.Educational aimsProvide update for oxygen prescribers on options for home oxygen provision.Provide update on the evidence base for available self-fill oxygen technologies.Provide and update for healthcare commissioners on the potential cost-effective and environmental benefits of increased utilisation of self-fill oxygen systems.

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