The Optimum Number of Rapid Charging Stations in London - Engineering Assignment Help

Assignment Task

Task
Thesis on the Prediction of the Optimum Number of Rapid Charging Stations Required to Meet the Charging Demand of Electric Vehicles in London
The fast speed with which urbanization has taken place has led to several environmental issues. The sustainable development of towns has ended up becoming an issue of concern in the recent past. One of the major aims of the United Nations (UN) 2030 agenda for the aspect of sustainable development concerns achieving sustainable communities and cities with the aim of making human settlements and cities resilient, sustainable and safe. Consequently, sustainability within cities entails the adoption of technological innovations as well as knowledge from a number of scientific fields to ensure urban residents get quality life which may be sustained for quite a long time. A sustainable city is one where individuals and firms continuously make efforts aimed at enhancing their natural, cultural and built environment. This means that sustainability within cities has the objective of sustaining life quality for residents in urban settings while a sustainable city is seen as a balance of cultural, natural and built elements. Sustainable transport is an imperative element of realizing sustainable cities. Emissions of Greenhouse gas is most in urban areas and the carbon dioxide which gets emitted by automobiles is responsible for approximately 40% of the gross carbon emissions in urban centers. At the same time, persistent pollutants, particulate matter, and heavy metals that get produced through transportation have serious impacts on human health and are a real concern for individuals who live around and work in urban centers. Therefore, it is important to introduce more transport solutions that are environmentally sustainable as an alternative to the ones in use.
Electric vehicles (EVs) have major potential of enhancing efficiency in energy while reducing emission of greenhouse gases and also diversifying energy resources to realize a more sustainable transportation system. Consequently, the act of promoting EVs development is crucial to tackle climate change matters and realize sustainability in the transportation sector. As a significant guarantee for the production of EVs, the level of development of charging stations for electric vehicles (EVCS) has a direct influence on the speed of development and quality of the EV industry. Nevertheless, the likely shortage of EVCS has been one of the significant issues affecting the success of the EV industry. Therefore, finding the right locations for EFCS has become a major issue to enhance the development of this industry of electric vehicles.
Smart cities, that are dependent on the process of deploying communication and information technology, offer some new approach for coming up with EVs which may get adopted in the realization of sustainability within cities. Smart cities make an emphasis on effective utilization and integration of resources for realization of sustainable development. As a significant part of Electric Vehicle planning within these smart cities, EVCS is imperative for the realization of sustainable cities. With the increased capacity in use of EVs, the likely location for EVCS has become a serious topic as well as research focus area. Several scholars have ended up analyzing and offering solutions to the location of EVCS from various perspectives. They have realized many aims majorly due to the following topic areas: the issue of coverage and the placement of electric vehicle charging points.
Rapid charging has majorly been perceived as a means to take up long-distance driving in the case of electric vehicles. A series of strategies for roll-out, therefore, have placed emphasis on a corridor kind of approach. Nevertheless, with an increase in the rates of fast charging (from fifty kilowatts to three-fifty kilowatts), the time that is required for fast charging is nearing the times for fueling of fossil fuels. These kinds of rates may likely slacken the requirement for slow or level 2 charging stations mostly in urban centers. The slower stations for charging have a major effect on public space as well as the available business case is hard because of lower speeds for charging and hence lower volumes for charging. This offers some need for the right understanding through which circumstances that would be offered through fast charging may offer the right alternative to the second level of public charging. Further, modalities like taxis as well as car sharing are also making use of electric vehicles. They will adopt similar infrastructure for fast charging. These kinds of modalities have varied patterns of usage and hence different fast charging needs.
Policy makers as well as operators of charging point are actually struggling with the process of roll-out of stations for fast charging since they may not be aware of the intentions of the people using infrastructure for fast charging. The patterns for usage of fast charging stations as well as level 2 stations for charging are quite different. This suggests varied intentions of the people driving electric vehicles for charging their vehicles. In the case of the slow second level charging infrastructures, the intentions may be seen in the patterns of charging like the time of the day as well as the location. However, in the case of fast charging, this is really ambivalent since there is low variation. After a series of analysis of the second level of charging behavior indicates the relevance of spatial heterogeneity. Much as a number of articles have done work on patterns of fast charging, so far an evaluation of the varied intentions of electric vehicle drivers between the aspect of fast charging within urban centers as well as along corridors is not there. This kind of information is imperative for the right roll-out strategy to come up with decisions concerning location of rapid charging stations.
Aim
Apart from driving a change to walking, public transport, and cycling reduction in the transport emissions needs cities to ensure the vehicles on the roads are electrified. This should be the case with bus fleets, municipal automobiles and private vehicles. As the advancement in technology increases and a reduction in costs, the shift to electric vehicles is feasible for cities in the United Kingdom. Consequently, the aim of this thesis is to predict the optimum number of rapid charging stations required to meet the charging demand of electric vehicles in London, Birmingham and Manchester and also to identify on how it will get distributed.
Objectives
To realize these aims, the objectives of the paper are as follows:
To review the literature on Electric Vehicle Rapid Charging Stations in metropolitan cities
To identify the factors on which the numbers of rapid charging stations will depend
To figure out the optimum number of rapid charging stations required
To identify the factors on which the distribution should depend on.
To propose a new approach on how the distribution of the charging stations in these cities should be.
Client Contribution
The process of deploying electric vehicle infrastructure for charging is essential for the electric vehicle market to grow. The three cities mentioned which are London, Birmingham and Manchester have to build charging infrastructure for electric vehicles and also scale them while also encouraging investment from the other suitable stakeholders. Electric vehicles have a major potential as one means for these cities to reduce their pollution of their local air, emissions of greenhouse gases and the use of oil in the transport sector. When powered through renewable energy, electric vehicles may end up producing zero emissions at the tailpipe of the vehicle and reduced life-cycle emissions. Nevertheless, they still end up bringing about congestion as well as air pollution because of particles that have been released from braking and tyres. Consequently, a change to electric vehicles ought to be positioned within the greater plan for many plans in the city. This is the vision of the stakeholders in this sector.
Structure of the Project

Chapter 2: Research Approach
Introduction
Several definitions of research have been given forward by various scholars who come from different fields. The Oxford Advanced Learners’ Dictionary defines research as the kind of investigation done in a systematic fashion to establish new facts or get some more information. Lewis, Suanders and Thornhill (2003) present research as something that individuals do to establish new things in a way that is rather systematic and then they proceed to enhance their knowledge. Coming from the two research definitions, it then follows that research is the kind of activity which is planned with the aim of finding out new facts as well as information concerning some given phenomenon. The process of research mostly entails the identification of some issue or interest area and then having the problem translated into a research problem. Thereafter, data is collected, analysis of the data is accomplished and then the research findings are reported later on.
Research Overview
Research design has been defined as a given plan for study which offers the main framework for data collection. Other researchers define it as the plan for subjects’ selection, researching of sites and collection of data procedures for getting answers to research questions. They also indicate that the aim of a robust research design is to issue results which may be perceived as being credible and reliable. (Durrheim 2004) states that research design concerns the kind of framework which is strategic in nature to give about action as a common bridge between the questions fronted in the research and its execution or the process of implementing the strategy for research.
Research Methodology
(Schwardt 2007) offers the definition of research methodology as the kind of theory of the manner in which inquiry is supposed to be done. It entails the process of analyzing assumptions, procedures and principles in some known approach to a given inquiry. He offers that methodologies define and explicate the types of issues which may be worth investigation; whatever may make part of a problem to be researched; hypotheses that may be tested; the manner one come frame some given problem in a manner that it may get investigated by adopting some known procedures and designs; and the way to select and also develop the right means for data collection.
Research Overview
The figure below highlights a top-down approach of the four research process phases. The four are: Research process; Research Philosophy; Methodologies and Data Collection. They all assist in providing a better understanding of the design of the research.
571527305Mono Method
Multi Method
Archival Records
Observations
Documentation
Interviews
Time horizons
Data Collection
Experiment
Survey
Ethnography
Case Study

The Research Process
As enumerated in the analysis of the various definitions of research offered above, after the identification of a research problem or some interest area, the person doing research ought to identify the right methods that they would engage in approaching the problem. To offer direction to the present study, the process of research known “onion” was given priority. This research process offers an illustration of the types of choices, strategies, paradigms and steps that the researchers will follow in the course of the research process.

Figure ……. Onion Research Process
This research process called onion offers the kind of summary of the most significant issues which should be undertaken and also reviewed before any research process is carried out. The various layers of the onion work as the basis from where one may take consideration of the following: the philosophical aspect of the person doing the research; the kind of research approach which has been taken; the rights research strategies; the timelines for doing research which may be under review; the techniques for data collection that the researcher has employed.
Research Philosophy
Research philosophy concerns the belief on the manner in which data related to some known phenomenon ought to be collected, analyzed and even used. The term epistemology (whatever is perceived as being true) and not doxology (whatever is believed to be true) entails the various approaches of research philosophies. The major aim of science hence concerns transformation of things that are believed into those that are known. This is from doxa to episteme. There exist two main research philosophies that have been identified. They are positivist (also known as scientific) as well as interpretivist (also known as antipostivist).
It is possible to make predictions on the perspective of realities which were observed in the past as well as their inter-relationships. This aspect does possess some rich as well as long tradition dating back to history. This is so embedded within the society to the extent that knowledge claims which are never grounded in the thought of positivist are mostly dismissed as being against scientific knowledge and hence they are termed as being invalid. This is a perspective that is indirectly supported by Carlson and Alavi (1992) The two established that all the empirical kinds of study were rather positivist in perspective. Further, positivism has had some kind of successful association with natural and physical sciences.
Nevertheless, there has existed some detailed debate on the matter of whether or not the positivist approach is wholly suitable for social sciences. Much as this paper may not elaborate on this debate, it is important to recognize in the study.
Research philosophy makes a congruent part of the research methodology. It is mostly classified as ontology, axiology and epistemology. These kinds of philosophical approaches enable one to make a decision on the kind of approach that ought to get adopted by the person conducting the research and reasons for the same. The most significant assumptions are mostly present within the research philosophy that helps in explaining the views of the researchers. The kinds of assumptions will help in determining the strategy of research as well as the methods of the given strategy. There exist various kinds of research philosophy which include:
Positivism
Those who are positivists often have the belief that reality is mostly stable and may be observed and also described from a viewpoint that is objective in nature. This means that it is done without interfering with the phenomenon which is being studied. Researchers often contend that phenomena ought to be isolated and that the observations should be ones that may be repeated. This mostly entails the process of manipulation of the existing reality with some shifts in certain single as well as independent variable with the aim of getting regularities between the relationships. These make some of the known constituent social world elements.
Interpretivism
This is the perspective that contends that just through the interpretation which is subjective as well as intervention may the same be fully understood. The process of studying phenomena within their natural environment is important to the interpretivist philosophy as well as with the acknowledgment of the fact that scientists may not avoid influencing the kind of phenomena they are actually studying. They then make the admission that there may be several kinds of interpretations that are actual but they end up maintaining the kinds of interpretations in the same as a section of scientific knowledge that is being pursued. This approach does possess some tradition which is not really glorious than the one of positivism.
Ontology
This is anchored on reality of nature. It gets classified on the premise of subjectivism and objectivism. Objectivism mostly shows the position that social objects end up persisting in a real sense to the social actors. Further, subjectivism relates to the social phenomena that are coming up from the perceptions as well as consequences of the social actors that are mostly concerned with the existence.
Epistemology
This one gets understood on the acceptable knowledge of some given study area. It may be divided into two areas: feeling researcher and resources researcher. The resource researcher is concerned with the given data from the angle of a natural scientist. Further, the feeling researcher relates the attitudes and feelings that workers have towards the people managing them. Therefore, the resource researcher is involved more on coming up with positivist philosophy while the feeling researcher is focused on interpretivist kind of philosophy. Therefore, epistemology gets classified as belonging to realism, positivism and interpretivism in the area of research philosophy.
Realism
This is some other philosophical kind of epistemology that is concerned with scientific enquiry. The major aspect of realism concerns disclosing the truth of some given reality as well as the existence of the many objects that are mostly prevalent in an independent fashion within the human mind. Realism is mostly classified as critical and direct realism. Direct realism offers an explanation of what is really being experienced by the sensations. These make up the images of the actual world and not the real sense. The existing differences between the two aspects is that the first one is actually related to the research capacity of the aspect that is really being studied as well as the critical aspect of realist that makes recognition of the significance of a study done in multiple-levels. This is done in the context of the individual, an organization or even a group. There exists some difference between direct realism as well as critical realism. In most cases, critical realism opines that there exist two stages for anyone to experience the world. The first one is that sensation gets passed to experience the people or object or even event as well as the nest stage is the mental process that gets to begin working after the likely sensations. For instance, within a cricket match, like a critical realist, while offering umpiring decisions, the umpire gets to say that he gives them as he sees them while the umpire who becomes the direct realist would end up saying he gives them just like they are. Therefore, in line with direct realism, the initial stage of critical realism is mostly right for understanding the level of experience for us.
Axiology
This concerns the branch of philosophy that is related to aesthetics, judgments as well as ethics. The process concerned with social enquiry is part of the approach. The axiological skill of the researchers gets executed so that it may make judgments related to the content of the research as well as its conduct. For instance, the philosophical approach of researchers is mostly reflected on their values along with their work. This is mostly the case with data collection or the analysis procedures. Nevertheless, this method ends up creating some impact in research involving social research. For example, some study was done among a bank’s customers to establish their experiences in using credit card in relation to security, convenience and mobile banking. The derived results of the survey or study showed that there was absence of strategies of communication along with an absence of level of awareness among the bank’s customers. Further, they established that majority of the consumers were not really interested in the given product. Nevertheless, the authorities of the bank never permitted the researcher to make the findings known or public. However, it is in the best interest of the consumers to have their interests respected by the bank and the researcher.
Research Methodology
Mixed Methods Research Methodology
As has been highlighted above, this research process incorporated a mixed methods approach for doing research. Kemper, Springfield and Teddlie (2003) offer definition of mixed methods design as the type of method which takes into consideration both quantitative and qualitative data collection as well as analysis simultaneously. Bazely (2003) presents the method as the adoption of mixed data (text and numerical) along with alternative tools (analysis and statistics) but make use of the same method. It is the kind of research whereby a researcher adopts the qualitative research aspect for some part of the research study and the quantitative for the other study phase.
Researchers have indicated that mixed research methods make some kind of natural complement to the adoption of either a traditional quantitative or qualitative methods of research separately. Researchers look at it as the research class whereby the person doing the research gets to mix both quantitative and qualitative techniques, concepts, methods or even language in one study. On the level of philosophy, mixed research methods makes a third wave or movement of third research which gets to move beyond the past paradigm wars through the offering of a logical as well as practical alternative.
Creswell, Fetters and Ivankova (2004) make the argument that mixed research methods entails more than merely collecting the quantitative and qualitative data; it makes the implication that data gets integrated, related or they get mixed at some known stage of the process of doing the research. They also show that the major logic to the process of mixing the two is the fact that none of the two methods may be sufficient on their own for capturing details and trends of a given situation. Whenever the two methods have been applied in combination, they end up bringing about a complete analysis and they end up complementing one another. Other researchers even point out that mixed method research entails the adoption of induction that concerns patterns discovery along with deduction that involves hypotheses and theories and lastly abduction that concerns uncovering as well as relying on the known explanations for having an understanding of the results that one arrives at.
There exist several points of view for combining both qualitative and quantitative research methods. Researchers have made comments regarding the two methods in the scope that: the two approaches may end up being combined since they share the goal of having an understanding of the world where people live. They end up sharing some unified logic and the similar rules of inference end up applying to both. A collection of the two approaches offers a series of perspectives from where a given phenomenon may end up being studied and they end up sharing some known commitment to the way of understanding while also enhancing the condition of humans. This is one common approach for disseminating knowledge that may be used practically. The two approaches vouch for triangulation or cross-validation that ends up combining more than two theories or data sources for studying a single phenomenon. This is in a bid to get a better understanding of the phenomenon. They also offer for achievement of results which are complementary by adopting the advantages of a single method to make the other better. The rationale for mixing the two methods include the following:
Enrichment of the participant: this is concerned with the enhancement of the number of participants within the research process. Researchers agree that in case the sample is larger, it will have more reliable research findings. In relation to the rationale, the sample adopted for the study was rather limited to all the companies engaged in making Electric Vehicle Charging Stations.
Fidelity of the Instrument: This one concerns the process of making the appropriateness of the instruments maximum within the study. In the case of this given study, there was adoption of two instruments that were mostly: interviews and questionnaires. The questionnaires and interviews asked a variety of questions that would help with the research process. The following is a figure that demonstrates the steps followed in conducting a study involving mixed methods.

Steps for Carrying out Mixed Methods
The seven steps that have been highlighted in the figure above were those that were observed from the planning stage of the study in this case all the way to the analysis stage for the data. The figure goes on to emphasize the issue that apart from viewing several research methods as some section of incompatible qualitative or quantitative research process, they have been looked at as complementary which gives a better understanding of the feature being examined. The next section offers a description of the quantitative and qualitative methods of research that were adopted in the study.
Quantitative Research Methodology
Quantitative research approach has the aim of testing theories, establishing facts, demonstrating the available relationships and also predicting what the results would be. This approach adopts methods that are derived from the natural sciences which are mostly designed to make sure there is objectivity, reliability as well as generalizability.
The techniques that have been adopted in quantitative research entail random selection of the participants of the research from the population that is being studied in a way that is rather unbiased. The questionnaire which is standardized or even the intervention that is realized as well as statistical methods adopted in testing the predetermined hypotheses concerning the relationship that exists between the known variables. The person doing research in a quantitative research, as opposed to qualitative approach where the participant is seen as external to the real research. The results are then expected to be quite replicable in spite of the person who conducts the research.
Qualitative Research Methodology
This is the kind of research approach that has the aim of developing a better understanding of the phenomenon along with theories. It is defined as some kind of situated activity that is responsible for locating the person doing the observation globally. It entails the kind of approach which is interpretive as well as naturalistic in nature to the globe. In most cases qualitative researchers end up studying the known phenomena within their natural environments so that they make sense of the same. This is in relation to the meanings that people provide to such phenomena. Qualitative research mostly indicates the qualities that are inherent in a given entity as well as processes and the meanings that may be measured experimentally. The aim of qualitative research is to present the researcher with the ideas of the members of the audience after having immersed into their situation as well as having a direct interaction with the people or phenomena being studied. This has the implication that qualitative approach entails the researcher becoming a mode or instrument through which data is collected and the results may end up differing in a great way on the person who is responsible for the research.
The aim of qualitative research is for promotion of a better self-understanding as well as increase in the human condition. As opposed to quantitative research, it is quite objective and relates to collection of facts related to the behavior of humans which will bring about verification as well as extension of theories. Further, qualitative research does lay emphasis on the enhancement of understanding of the experiences people have along with their human behavior.
Qualitative methods mostly come in the form of: direct observation, overview as well as documentary analysis, observation by participants and interviewing through open-ended approach. The methods are mostly designed to assist the researchers in understanding the likely meanings that individuals give social phenomena and for elucidating the behaviors that are therein. Other researchers term it as the kind of approach which is mostly done in natural environments where the researcher is used as the major instrument in the data gathering as well as analysis. The advantages of qualitative inquiry are entailed in the emphasis it places on getting rich and real data that showcase daily patterns from the views which are being studied. This kind of view places an emphasis on the significance of the voice of the people being researched or the phenomena being studied. Further, the kind of inquiry entails getting multiple methods for gathering data and mostly interviews by participants and adopts inductive data analysis approach.
Data Collection

Chapter 3: Literature Review
The global energy and environmental dilemma is worsening as the world's population grows and the economy expands. One of the primary causes of oil consumption is motor vehicles. As a result, promoting technical transformation in the vehicle sector is a critical step. Electric vehicles have a clear benefit in terms of energy efficiency and emissions, so the electric vehicle industry has become a key area for countries to investigate. The electric car sector has made significant progress in recent years, but the short range and long charging time of electric vehicles are impeding their development. Furthermore, how to assign charging stations in a reasonable manner with limited resources, particularly to address the problem of urban and rural development and distribution, is a challenge that must be addressed in order to promote the further promotion of electric vehicles.
Significant changes in the power and mobility sectors have been brought about by global climate change, fossil fuel depletion, rising pricing, and energy security. Around one-fifth of worldwide energy consumption is consumed by the transport sector. The European Union (EU) recognizes road transportation as one of the biggest causes of CO2 emissions, and it reduces air quality below EU norms. As a result, assuming the EU's economic growth continues at its current pace, emissions are expected to rise by 50 percent by 2020 (relative to 1990). Several efforts are being taken to accelerate the transportation sector's decarbonization. In this approach, the EU has passed legislation to reduce CO2 emissions by 30% by 2030 by boosting the use of electric vehicles (EVs) in the transportation network. However, in the near future, electric cars (EVs) or plug-in electric vehicles (PEVs) will be powered by rechargeable batteries and categorized as green technology cars, replacing internal combustion engines (ICE). Transferring technology from petroleum-based to green transportation has a lot of advantages in terms of economics, the environment, and technological assistance.
By the end of 2015, Eurostat estimated that the transportation sector accounted for up to 85% of total EU oil imports. This has put a strain on the EU economy, as it has had to pay a large sum for petroleum imports. The adoption of electric vehicles in the transportation sector will not only reduce oil consumption, but will also save millions of Euros in environmental funds. The EU's economy will be regulated as a result of this step. In the manufacturing and service industries, EVs provide extra economic benefits in the form of new business options and job prospects. According to a study, the European economy will be able to absorb 206,000 people with jobs by the end of 2030. As a result, a sustainable economy will result from a sustainable technology. Carbon-emitting vehicles on the highways account for 12% of EU carbon emissions and contribute to global climate change. The main reasons for EV adoption in EU countries are the decrease of carbon emissions and other pollutants. By encouraging more electric vehicles on the road, the EU six-year strategy aims to reduce CO2 emissions by 18–40% (compared to 2007) in the transportation sector. EVs not only contribute to the economics and environmental conservation, but they also provide technical assistance to the electric grid. Voltage support for the grid, frequency regulation, grid energy storage, peak shaving, and load flattening are examples of these services. The voltage of the network may drop as a result of failures or feeding a big load that was unexpectedly introduced. The system voltage quality can be maintained by EVs fitted with a voltage droop control system. Similarly, the frequency droop management system can prevent frequency violation induced by a mismatch between active power generation and demand. EVs are useful for regulating peak demand in addition to voltage and frequency management. The distribution system is subjected to fluctuating load and peak demand, which can be regulated by discharging the electricity stored in the vehicle's battery without relying on network reinforcement. Finally, all of the aforementioned advantages stimulate EV adoption on a large scale. In this competition, European countries appear to be highly active in promoting electric vehicles through measures such as tax breaks and government subsidies. As a result, the number of electric vehicles on the road will grow in the next years, resulting in the realization of the benefits.
On the other hand, widespread adoption of EVs comes with a slew of problems, including those related to energy, transportation, and industry. EV charging activities, whether at home or at a public charging station, necessitate the creation of EV charging platforms and infrastructure. Furthermore, the significant penetration of electric vehicles (EVs) in the distribution network necessitates a large financial investment in smart grid technologies. As a result, due to the length of time it takes to charge an EV's battery, the charging operation consumes a significant quantity of electricity. Simultaneous or uncoordinated charging of EV clusters, on the other hand, significantly increases electricity consumption, causing an unexpected peak on the system and overloading the distribution network, resulting in voltage quality degradation, increased power loss, and the dispatch of uneconomical energy sources. There are two possible strategies for managing the expanding EV charging demand without compromising network operational performance, each with its own operating domain. To begin with, the Supply Side Control Action (SSCA) refers to boosting and managing the system's generation capacity to satisfy peak demand generated by simultaneous charging of electric vehicles. This is a costly strategy that necessitates the upgrading of grid infrastructure. Second, the Demand Side Control Action (DSCA), which is an alternative method of controlling EV charging demand, is hidden within the demand response program. It refers to the actions performed by utilities and consumers using dynamic pricing to affect energy consumption with the purpose of achieving optimal billing.
EV charging is a typical demand side management subject from a utilities perspective, and it can be efficiently implemented through dynamic energy pricing, which directly effects charging activities. Electricity pricing regulations might encourage EV users to modify their charging demand in response to price signals, potentially reducing not just the negative affects on the distribution network but also the customer's electricity cost. Dynamic power pricing schemes such as Time of Use (ToU), Real Time Pricing (RTP), and Critical Peak Pricing can be used to schedule EV charging (CPP).
On a global scale, the scholarly discussion on EVCS deployment concerns is garnering increasing attention. EVCS planning issues have been thoroughly investigated over the last decade and continue to pique the interest of both practitioners and researchers. According to Pagany et al., the number of publications published in 2016 grew by more than 150 percent when compared to 2010. For finding the stations, these investigations use a variety of techniques and procedures, resulting in a multispectral body of literature. Despite their variations, all of the EVCS locating methodologies have one thing in common: they offer an EV charging network system based on technical and geographic resources, with the goal of assisting EV customers with the least amount of energy consumption possible.
The majority of research have taken demand and supply data into account when determining appropriate roll-out techniques. For example, Oda et al. used a mixedmethod approach that included queuing theory and cost–benefit analysis to address both the congestion caused by quick charging stations and the demand for new charging stations. Pagani et al. employed an agent-based simulation framework in conjunction with a georeferenced model of the existing infrastructure to determine individual EV users' charging behavior as well as the deployment of EVCSs. Many academics have used optimization approaches such as integer programming, genetic algorithms, particle swarm optimization, and others to find the placements of the EVCSs on the supply side. Huang et al. offered two optimization models for two different charging modes (rapid and slow charging) with the goal of minimizing total cost while meeting specified coverage criteria. The goal of their study was to maximize the amount of traffic gathered with a limited number of charging stations. Sadeghi-Barzani et al. used a genetic algorithm methodology (GA) to find a charging station layout that minimized the total cost of deployment. Wang et al. looked at the problem of locating and sizing fast charging stations in a highway network while taking into account financial limits and service capacity. Arkin et al. apply graph theory, specifically "t-spanning paths," to solve a facility location problem. Their research is based on assigning a suitable number of charging stations throughout consumers' journeys. Bouguerra and Layeb used five Integer Linear Programs based on weighted set coverage models to produce optimal infrastructure plans that stakeholders and policymakers may accept. Zhang et al. constructed a traditional set covering problem to investigate and optimize the use of EV charging stations in this vein.
In a study conducted by Frade et al., the maximum covering model was used to determine the number and capacity of additional stations. Combinatorial approaches have also emerged to improve efficiency; Awasthi et al. combined two famous bionic optimization algorithms. The suboptimal solution set provided by the GA was re-optimized using a particle swarm optimization (PSO) technique. To determine the best position of charging stations in urban areas, Bian et al. suggested a Mixed Integer Linear Programming (MILP) model based on Geographic Information System (GIS).
However, the distribution of EV charging stations is a geographical problem driven by a number of competing requirements. As a result, there are few works in the area of location analysis that use multicriteria analysis and GIS-based methods, in contrast to the huge number of studies that use mathematical programming and optimizations. Some of these studies develop a framework for evaluating entire areas rather than individual locations, resulting in spatial models.
Csiszár et al. employed a hexagon-based strategy and a greedy algorithm to evaluate areas and arrange charging stations within an area using weighted multicriteria techniques. Namdeo et al. created a methodological framework for multidimensional spatial analysis that integrates socioeconomic qualities and trip characteristics to prioritize demand-based public charging stations in a similar direction. In order to investigate spatio-temporal clustering of EV charging demand, Heyman et al. introduces diffusion theory as well as GIS analytical techniques. This work proposes a framework capable of forecasting geographic patterns of EVCSs under real-world settings using this strategy. Another interesting study by Victor-Gallardo et al. used an approach that included delivering charging stations in urban centers and making them available on routes connecting distant locales, all while assuring the technical feasibility of these locations. Costa et al. proposed using GIS analysis in conjunction with knowledge from a survey done with local EV specialists to map well-suited areas for EVCSs. In order to find the ideal position of the charges, Zhang et al. formulated a spatial technique that takes into account a number of positive and negative criteria linked to walkability. Erbas et al. proposed a method for determining the potential sites for EVCSs. To generate their results, they used a GIS-based MCDMA strategy that included the FuzzyAHP and TOPSIS methods. Huang et al. developed a novel GIS-assisted optimal design strategy for renewable-powered EV charging stations in high-density cities in another significant work. Efthymioy et al performed a spatial investigation while also employing a multicriteria analysis methodology, resulting in a cohesive map aimed at stakeholders. Finally, Wu et al. and Zhao and Li combine multiple Multiple-criteria Decision Analysis (MCDA) approaches to analyze EVCS site selection.
There are a few notable approaches that pay close attention to participatory methods as well, hence increasing stakeholder and public body engagement. Furthermore, stakeholder analysis methodologies allow for a better understanding of the decision-making process in certain situations. For example, Q-methodology was utilized by Kougias et al. and Wolbertus to recognize distinct perspectives on the future of constructing EV charging infrastructure. Costa et al. used a Multi-Criteria Decision-Making (MCDM), Weighted Linear Combination (WLC), and Analytical Hierarchy Process (AHP) strategy based on inputs from a group of electric mobility specialists using a GIS modeling tool in the same context. Finally, Costa et al. used an MCDA approach in conjunction with a GIS to detect stakeholder opinions with a geographical resolution.Factors affecting the number of electric vehicles have been classified into three aspects in prior studies: technology considerations, policy considerations, and environmental factors.
Technology factors
EV attributes such as driving distance, charging time, and EV purchasing pricing are all directly tied to technological aspects. Obstacles to EV acceptance and dispersion include limited driving range, long charging times, and expensive purchase prices. The high purchase price of an EV, according to Brownstone et al., is a key barrier to mainstream EV adoption. The short driving range of EVs is one of the key impediments in the purchasing decision, according to Lieven et al. [10] and Hackbarth and Madlener. Furthermore, electric vehicles take longer to charge than vehicles with internal combustion engines (ICEV). According to Saxton, EVs take 30 minutes to charge at a fast charging station, whereas most ICEVs take about 4 minutes to refuel. Other technological considerations, including as battery life, trunk capacity, and top speed, are also seen as technical impediments to consumer adoption.
Policy Factors
In comparison to the existing ICEV sector, the electric vehicle market is still in its infancy. As a result, the government's active policy backing is a critical role in the initial market establishment and widespread adoption of electric vehicles. As a result, many countries that favor electric vehicles implement policies including purchase subsidies, public spending, tax reductions, tax exemptions, EV deployment targets, free charging, and parking permits. Both the federal government and state governments in the United States have used direct subsidies, tax credits, or tax exemptions to encourage people to buy electric vehicles. In China, the government encourages the purchase of public vehicles at first, then supports the commercialization of the private EV market in a few pilot cities. Subsidies, favorable taxation, free parking, and driving privileges, according to Wenbo et al., have a positive impact on consumers' adoption of EVs. Financial incentives were found to be significant and positively correlated with EV market share by Sierzchula et al., and a congestion tax exemption policy by Whitehead et al. can significantly increase the share of energy efficient vehicles in Stockholm. These findings are consistent with Aasness and Odeck's assertion that increased use of EVs is the result of multiple economic incentivizations.
Environmental Factors
Environmental factors are those that have an indirect impact on EV adoption but are outside the control of EV makers. We can include environmental aspects such as gasoline pricing, consumer characteristics, charging station availability, and so on. Fuel prices are determined to be the biggest predictors of HEV adoption by Coffman et al., and would similarly effect EV adoption based on the relative price of electricity. Consumer variable According to Ajanovic and Hass, countries with higher GDP have a higher readiness to pay for EVs. Due to restricted driving range, an improvement in charging infrastructure, according to Sierzchula et al., has a beneficial impact on EV adoptions such as wealth, education, gender, and environmentalist level also influence EV purchases.

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