The Location Optimization of Urban Shared New Energy Vehicles Based on P-Median Model: The Example of Xuzhou City, China

Round 1

Reviewer 1 Report (New Reviewer)

Dear authors,

It is a very interesting topic specifically in a crowded country like China. 

I have only a minor comment which is in the last paragraph of the "Research Status section", particularly line 127, a reference must be added since you stated at the beginning that previous research...

Best Regards

Author Response

Comments and Suggestions for Authors

Dear authors,

It is a very interesting topic specifically in a crowded country like China. 

I have only a minor comment which is in the last paragraph of the "Research Status section", particularly line 127, a reference must be added since you stated at the beginning that previous research...

Best Regards

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to your feedback and suggestions, we have greatly revised and improved the manuscript. In line 127 of the paper, we add relevant documents to ensure the rigor of the manuscript. Thank you again for your encouragement and advice.

Author Response File: Author Response.pdf

Reviewer 2 Report (Previous Reviewer 4)

Thank you for your revision. I suggest mentioning more keywords and more relevant studies be discussed. 22 references of the current manuscript are not sufficient to underpin the authors' research.

English language style and academic writing style should be double-checked before publication.

Author Response

Comments and Suggestions for Authors

1. Thank you for your revision. I suggest mentioning more keywords and more relevant studies be discussed. 22 references of the current manuscript are not sufficient to underpin the authors' research.

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to the research content of the manuscript, we condensed the key words. We change the key words to: Sharing Economy; New energy vehicles; Quasi-public goods; Location optimization. In order to ensure the quality of the research, we also included some more literature while continuing to read some journal articles and professional books.

2. Comments on the Quality of English Language

English language style and academic writing style should be double-checked before publication.

Response: Thank you very much for your feedback on the language expression. The English expression of this paper really has a lot of room for improvement. Thank you for your valuable advice. We have adjusted the language of this paper as a whole, expecting to meet the quality requirements of journal publication.

Author Response File: Author Response.pdf

Reviewer 3 Report (New Reviewer)

Unified table format, improve chart quality.

Some sentences are too long to read easily.

Author Response

Comments and Suggestions for Authors

1. Unified table format, improve chart quality

Response: Thank you very much for your advice. Your suggestions are of great help to standardize the format of the paper and improve the content of the paper. In order to improve the quality of the chart, we have unified the table styles.

Comments on the Quality of English Language

2. Some sentences are too long to read easily.

Response: Thank you very much for your feedback on the language expression. The English expression of this paper really has a lot of room for improvement. Thank you for your valuable advice. We have adjusted the language of this paper on the whole, hoping to meet the quality requirements of journal publication and make it easy for readers to understand.

Author Response File: Author Response.pdf

Reviewer 4 Report (New Reviewer)

The paper presents the study and research on the localization and sharing of new energy vehicles based on G-B-U framework and analyzes the factors influencing the location selection of these vehicles. My comments are as below:

- G-B-U framework is to be discussed in detail.

- Instead of too much generic content, the addition of scientific rigor would increase the quality of the paper.

- English typos/grammar need to be rechecked.

- What is the significance of Table 3? The authors could summarize the data in a small table.

- Why only new energy vehicles? What of conventional vehicles? As the transition/migration to new energy vehicles would require a couple of decades, what would be the impact?

- How the developments such as industrial, education or others  - pensioners city, growing city, well connected: which has a direct correlation on traffic conditions, are considered.

- is any algorithm developed and what is it?

- The scientific contribution of the paper needs to be highlighted.

- Good references with global context can be added related to parking solutions and localizations such as doi: 10.1109/TITS.2020.2964604 and 10.3390/fi13080210, and others may be added.

- Comparative study also, wherever possible need to be incorporated.

 

English typo errors/grammar need to be rechecked.

Author Response

Comments and Suggestions for Authors

The paper presents the study and research on the localization and sharing of new energy vehicles based on G-B-U framework and analyzes the factors influencing the location selection of these vehicles. My comments are as below:

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to your feedback and suggestions, we have greatly revised and improved the manuscript. If it still needs to be improved, we sincerely hope we still have an opportunity. Thank you again for your encouragement and advice.

1. G-B-U framework is to be discussed in detail.

Response: Thank you very much for your advice. We have carefully reviewed and, to some extent, adjusted the contents of the G-B-U structure in Chapter 3 in accordance with your comments. Due to space limitations, we have explained this framework's logic as thoroughly as precisely as we could.

2. Instead of too much generic content, the addition of scientific rigor would increase the quality of the paper.

Response: We really appreciate your input. we read a few of the publications and looked into their research. In an effort to strengthen the research for this paper and raise its quality, we also added a few references.

3. English typos/grammar need to be rechecked.

Response: Thank you very much for your feedback on the language expression. The English expression of this paper really has a lot of room for improvement. Thank you for your valuable advice. We have adjusted the language of this paper as a whole, expecting to meet the quality requirements of journal publication.

4. What is the significance of Table 3? The authors could summarize the data in a small table.

Response: Thank you very much for your valuable feedback. Table 3 shows the latitude and longitude of the 250 alternative sites found on Baidu Map and AMAP by crawler. Alternative network selection is the second stage of the three-stage location optimization model constructed in this paper. These alternative sites are potential optimal sites. Due to space constraints, we present only partial data. These points are independent points, so they can't be summarized.

5. Why only new energy vehicles? What of conventional vehicles? As the transition/migration to new energy vehicles would require a couple of decades, what would be the impact?

Response: Thank you very much for your valuable feedback. This manuscript's research topic is urban shared new energy vehicles. Global warming and carbon emissions have emerged as significant threats to human sustainability. Countries are giving the development of new energy an increasing amount of priority, which has drawn attention to new energy vehicles. The start date for the worldwide prohibition on the sale of fuel-powered cars has been set, often between 2030 and 2040. The Chinese government has also implemented a number of pertinent measures to aid in the development of new energy vehicles in an effort to meet the dual-carbon objective. The new energy vehicle business has grown quickly in recent years and has a wide future. This paper examines the site selection of new energy cars rather than conventional automobiles in light of the aforesaid realistic scenario.

6. How the developments such as industrial, education or others - pensioners city, growing city, well connected: which has a direct correlation on traffic conditions, are considered.

Response: Thank you very much for your valuable advice. The manuscript mainly considers the selection of urban sharing new energy vehicle location from the perspective of consumers. China is a very populous nation. Most households in china have 1-2 automobiles now that the economy has improved. If all of these cars are placed in city traffic, it will result in severe gridlock. In order to reduce traffic congestion and environmental pollution, this article aims to encourage more people to utilize urban shared new energy vehicles by optimize the location of urban shared new energy vehicles. The factors related to traffic conditions mentioned by you are not considered in this paper, but these suggestions provide valuable ideas for us to carry out new research in the future. Thank you again for your valuable advice

7. is any algorithm developed and what is it?

Response: Thank you very much for your valuable feedback. We are employing the established, mature techniques because model establishment and solution are not the paper's innovation points. We utilize the Matlab program to invoke the yalmip toolbox and input code to create the P median model. Then, using the CPLEX 12.8 solver, you can select the branch and bound algorithm and repeatedly solve for the best number.

8. The scientific contribution of the paper needs to be highlighted.

Response: Thank you very much for your valuable advice. We describe the scientific contribution of the manuscript in the introduction and research status. The following innovations are present in the manuscript: (1) While there is still a lack of theoretical direction and a systematic analysis framework for the location selection of urban shared products, previous studies mainly concentrated on the single dimensional scattered analysis of enterprise cost and benefit, technical feasibility, and users' willingness to adopt. Based on the perspective of stakeholders and quasi-public goods, this paper constructs the "G-B-U" analysis framework, which lays a theoretical foundation for the analysis of influencing factors of market demand for shared products and the selection of location. (2) Different from the previous market demand prediction model based on simple demographic variables, this paper is based on social demographic variables and user intentions. In particular, the market demand prediction model is constructed based on the influence relationship and proportion of fundamentally shared new energy vehicle use experience on subsequent use intention.

9. Good references with global context can be added related to parking solutions and localizations such as doi: 10.1109/TITS.2020.2964604 and 10.3390/fi13080210, and others may be added.

Response: Thank you very much for your suggestions. We have collected and read some articles on optimizing the location of shared cars, especially these two articles you suggested. After careful study, it is indeed helpful to our theoretical construction and research design. Thank you again for your recommendation.

10. Comparative study also, wherever possible need to be incorporated.

Response: Thank you very much for your suggestions. Comparative analysis, in our opinion, is crucial for academic works. We did not incorporate the Comparative study this time around due to space constraints and overall assessment of the main research line of this work. We'll consider comparison studies in further research to make the study more comprehensive.

Comments on the Quality of English Language

11. English typo errors/grammar need to be rechecked.

Response: Thank you very much for your valuable advice. We carefully checked and adjusted the grammar and spelling of this article, hoping to meet the requirements of rigor.

Author Response File: Author Response.pdf

Round 2

Reviewer 4 Report (New Reviewer)

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Author Response

Dear Reviewer,

Thank you very much for your valuable feedback. Your suggestions are very important for us to improve the quality of our manuscripts. We have adjusted some expressions of the manuscript according to your suggestions. Please refer to our newly submitted manuscript for details. Thanks again for your advice.

Kind regards,

Xiaozhen Wang

Author Response File: Author Response.pdf

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.

Round 1

Reviewer 1 Report

Please see the attachment.

Comments for author File: Comments.pdf

Author Response

Response to Reviewer 1 Comments

Summary of the Paper

The authors have studied the location selection problem for the shared Electric Vehicles and then solve the same using the P-median method. Further, they have applied the method to a real-life problem.

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to your feedback and suggestions, we have greatly revised and improved the manuscript. If it still needs to be improved, we sincerely hope we still have an opportunity. Thank you again for your encouragement and advice.

Major Comments

There is nothing new in the optimization problem considered here. The P-median method is a well-known problem in the field of Operations Research. Even though I agree, the context is new. Applying the same algorithm to a real-life problem can make it suitable for a teaching case and not an academic paper. I couldn’t see any academic contribution of the paper.

Response: We greatly appreciate your proposal, which will enable us to raise the caliber of our article. We concur with you that the original work does not follow the format of an academic paper after our discussion. And the innovation is not sufficiently evident. We have significantly revised our manuscript in response to your advice in the hopes that it will now fit the requirements for scholarly papers.

In an effort to learn more about the theoretical underpinnings of the study on the location of city-sharing new-energy vehicles, we continued to read a lot of journal articles and professional books. Analysis of the shared car good's characteristics reveals that the government dominates this quasi-public commodity. Government, users, and businesses should be considered as the three main stakeholders when choosing a location. We develop the analysis framework of "G (government) -B (enterprise) -U (user)" on the basis of this. The manuscript further proposes a three-stage location decision approach of "market demand prediction - alternative network screening - location model solution" on the basis of theoretical analysis and empirical study. In order to verify the feasibility and scientificity of the model, the manuscript conducts an optimization case study on the location selection of shared new energy vehicles in Xuzhou, China.

The following innovations are present in the manuscript:

(1) While there is still a lack of theoretical direction and a systematic analysis framework for the location selection of urban shared products, previous studies mainly concentrated on the single dimensional scattered analysis of enterprise cost and benefit, technical feasibility, and users' willingness to adopt. Based on the perspective of stakeholders and quasi-public goods, this paper constructs the "G-B-U" analysis framework, which lays a theoretical foundation for the analysis of influencing factors of market demand for shared products and the selection of location. (2) Different from the previous market demand prediction model based on simple demographic variables, this paper is based on social demographic variables and user intentions. In particular, the market demand prediction model is constructed based on the influence relationship and proportion of fundamentally shared new energy vehicle use experience on subsequent use intention.

Minor Comments

Problem 1: The writing and presentation of the paper are poor throughout the manuscript. There are grammatical errors like improper use of articles, incorrect subject-verb agreement, etc.

Problem 2: Further, there are sentences very difficult to comprehend.

Problem 3: Moreover, there are some issues in the presentation of the paper. For instance, in every table, the heading starts with a small letter.

Response to problems 1,2,3: Thank you very much for your advice. Your suggestions are of great help to standardize the format of the paper and improve the content of the paper. We have reviewed and carefully revised the presentation and title format of the chart. Thank you very much for your feedback on the language. Thank you very much for your feedback. Your suggestions are important. We acknowledge that, as an academic research paper, there is indeed much room for improvement in the English presentation of this paper. Thank you for valuable suggestion.  According to your feedback, we have adjusted the language of this article as a whole and found a specialized translation agency to revise and embellish it. Due to there are many revised parts, we will not list them all here. Please refer to the second manuscript for details.

Problem 4: Further, the authors need to provide proper citations to the claims that they are making. For instance, on page no. 1, line no. 1 under the Introduction section, the authors mention “Currently, the construction speed of urban traffic infrastructure cannot meet the fast-growing traffic demand, and the taxies and private cars increase rapidly. The number of motor vehicles is increasing at a speed above 10% each year.”, no citation has been provided for this statement. Likewise, there are many such statements.

Response: Thank you very much for your advice.  At your suggestion, we have inserted an endnote or footnote in each part of the citation, indicating the source of the text or data.

Problem 5: The orientation of the mathematical expressions is also not aligned. They are going here and there. I advise the authors to use a better equation editor.

Response: Thank you for your valuable advice, which will be of great value in improving the quality of our thesis. According to your suggestion, we used the formula editor to express each numeric expression. For example, lines 321 and 337.

 

Author Response File: Author Response.pdf

Reviewer 2 Report

-The authors may give the details of the survey related to the demand factor. How did they collect the survey? Details should be given to the reader.

-Location selection details also should be given to readers. It should be discussed with additional references.

-It is important to use explanatory figure(s) for the method. In overall the method is not clear.

-The authors calculated the travel distance and cost. Which method did they use? Euclidean distance or network distance for calculating distance for demand points? This may also affect the changes in travel costs.

-I think the authors should discuss the advantages of P-Median model by additional references too. Is there any other model that can be used alternatively? What are the advantages of the P-Median model compare to other models?

-Figures should be adopted to the texts and paragraphs. Figures titles or numbers are not given accordingly within the text.

-Please check figures 4.6 and 4.7. 

Author Response

Response to Reviewer 2 Comments

Comments and Suggestions for Author

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to your feedback and suggestions, we have greatly revised and improved the manuscript. If it still needs to be improved, we sincerely hope we still have an opportunity. Thank you again for your encouragement and advice.

Problem 1: The authors may give the details of the survey related to the demand factor. How did they collect the survey? Details should be given to the reader.

Response: Thank you very much for your advice. We did omit the survey details of demand factors in the article. In order to let readers, Part 4.3 of the manuscript submitted for the second time explained the survey method and attached the questionnaire link for readers' reference.

Problem 2: Location selection details also should be given to readers. It should be discussed with additional references.

Response: Thank you very much for your advice. According to your suggestion, in the second and fifth chapters of the new manuscript submitted, we have elaborated the reasons and details of location selection.

The second chapter's assessment of earlier study literature reveals that the building of the current location model is primarily focused on four factors: the enterprise, the user, the power grid, and the overall social benefit. According to this study, shared new energy vehicles have the characteristics of quasi-public commodities, and the government directs their development. At the same time, the primary source of revenue for pertinent businesses is the rent that customers pay to rent cars. Therefore, the more customers and the higher the frequency of use in the shared new energy vehicle business, the better it will be for the city's green development and the more benefits the company can have. Further combined with our questionnaire survey results, factors such as travel convenience and travel cost have a great impact on users' choice of sharing new energy vehicles. Therefore, we optimize site selection for the purpose of maximizing user utility and reducing user travel cost.

Forecast the market demand for shared new energy vehicles in the research field accurately first. The research region is divided into equal-sized research units based on the residents' travel distances, and its geometric center is identified as the demand point. The market demand of the research unit is forecasted using the questionnaire findings, the statistics yearbook of the study region, and the data from the national census. Second, based on the analysis presented above, the alternative network's site selection criteria are created, and possible network sites that satisfy the criteria are screened. Finally, a site selection model with the goal of minimizing the user's total travel distance is constructed and solved, and the optimal network distribution scheme is obtained.

Problem 3: It is important to use explanatory figure(s) for the method. ln overall the method is not clear.

Response: Thank you very much for your advice. We have revised the manuscript's substance, pictures, and English expressions based on the advice of various specialists. We only presented the most crucial graphics and tables in the manuscript due to space restrictions. We genuinely hope that you may let us know again if, after reading this, you believe that some portions need to be illustrated.

Problem 4: The authors calculated the travel distance and cost. Which method did they use? Euclidean distance or network distance for calculating distance for demand points? This may also affect the changes in travel costs.

Response: Thank you very much for your advice. The total travel distance of inhabitants was chosen as the measurement index in this study, without considering the cost and effectiveness of individual residents' travel. The study estimated average time and average distance each resident saved before and after optimization. The cost problem in the actual travel process involves many factors, and the research group may further consider this problem in the future, which is not discussed in detail in this paper.

Problem 5: I think the authors should discuss the advantages of P-Median model by additional references too. ls there any other model that can be used alternatively? What are the advantages of the p-Median model compare to other models?

Response: Thank you very much for your advice. We also looked at a ton of literature and discovered that Alfred Weber was the one who first put out the location problem as a way to determine the shortest overall distance between a single warehouse and a number of consumers. The p-center model, maximum coverage model, set coverage model, and p-median model are now the categories into which the traditional facility location models can be categorized. The P-median model is easier to use and more convenient when compared to the previous three. The P-median approach is chosen in this study because shared new-energy vehicle location selection needs to reach as many target groups as possible. To reduce the overall weighted travel distance between each demand location and the associated particular site selection point, a site selection model is developed. The model-building portion has undergone significant adjustments, which are discussed in Chapter 5 of the recently submitted manuscript.

Problem 6: Figures should be adopted to the texts and paragraphs. Figures titles or numbers are not given accordingly within the text.

Problem 7: Please check figures 4.6 and 4.7.

 Response to problems 6,7: Thank you very much for your advice. Your suggestions will be helpful in standardizing the paper format and improving the content. We have reviewed and carefully revised the presentation of graphs, tables and text.

 

Author Response File: Author Response.pdf

Reviewer 3 Report

1.    In the abstract "a problem of selecting location for shared electric vehicles", please clearly define what the location is.

2.    In the literature review of introduction, it will be helpful to the reader if more reviews according to the energy source of the shared new energy electric car are added. This can include the comparison between battery electric vehicle (BEV) and fuel cell electric vehicle (FCEV) as both vehicles are considered as promising future vehicles.

3.    What is the total cost in Section 3.2.2.? Please clarify the total cost.

4.    It should be mentioned that there are a number of studies using the p-median model for shared electric vehicles. Those include:

(1) Public investment and electric vehicle design: a model-based market analysis framework with application to a USA-China comparison study.

(2) Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach

5.    Uncertainties in demand point and demand quantity are likely to affect optimal location results. Is there any way to deal with these uncertainties?

6.    In actual shared vehicle operation, demand may change depending on fleet size, charging station location, etc. Is there any possibility to consider these factors?

7.    The travel distance used as the objective in the optimization formulation seems too simplistic. When selecting the location for shared new electric vehicles, real-time traffic, land price, etc. should be considered.

Author Response

Comments and Suggestions for Author

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to your feedback and suggestions, we have greatly revised and improved the manuscript. If it still needs to be improved, we sincerely hope we still have an opportunity. Thank you again for your encouragement and advice.

Problem 1: In the abstract "a problem of selecting location for shared electric vehicles", please clearly define what the location is.

Response: Thank you very much for your advice. "location" refers to the location of the parking point for shared new energy vehicles. After our team's discussion and data collection, we decided to use "location selection" to represent the selection of urban sharing new-energy vehicle parking points. We have revised the abstract as a whole and adjusted the wording of the language, hoping that our revision will make it clearer to readers. For details, please refer to the summary of the revised version, i.e., lines 10-23.

Problem 2: In the literature review of introduction, it will be helpful to the reader if more reviews according to the energy source of the shared new energy electric car are added. This can include the comparison between battery electric vehicle (BEV) and fuel cell electric vehicle (FCEV) as both vehicles are considered as promising future vehicles.

 Response: Thank you very much for your advice. In the introduction, we briefly explained the advantages of new energy vehicles compared with traditional energy vehicles. As the purpose of this paper is to discuss the location optimization of shared new energy vehicles, in the literature review part, we mainly discuss the use intention of consumers, location model construction and influencing factors.

Problem 3: What is the total cost in Section 3.2.2.? Please clarify the total cost.

 Response: Thank you very much for your advice. The total cost referred to in the article refers to the distance cost of the user. The goal is to minimize the travel distance for consumers to reach the site selection of shared new energy. According to your suggestion, the total travel distance before and after optimization has been given in Article 5.5. For details, please refer to lines 412-419 of manuscript submitted for the second time.

Problem 4: It should be mentioned that there are a number of studies using the p-median model for shared electric vehicles. Those include.

(1) Public investment and electric vehicle design: a model-based market analysis framework with application to a USA-China comparison study

(2) Shared autonomous electric vehicle design and operations under uncertainties: reliability-based design optimization approach

Response: Thank you very much for your suggestions. We have collected and read some articles on optimizing the location of shared cars, especially these two articles you suggested. After careful study, it is indeed helpful to our theoretical construction and research design. Thank you again for your recommendation.

Problem 5: Uncertainties in demand point and demand quantity are likely to affect optimal location results. Is there any way to deal with these uncertainties?

Response: Thank you very much for your advice. Considering that uncertainties of demand point and quantity may affect optimal location results, we improved the prediction method. Please refer to Chapter 5 of the new manuscript for details. According to the daily travel range of residents, the study area is divided into 140 research areas with 2500m×2500m as the minimum research unit. Take the geometric center point of each research unit as the demand point representing that research unit. A total of 110 demand points was finally confirmed. And combined with the census data, target group age, questionnaire data to confirm the number of potential customers of each street. The confirmation of demand at each demand point is based on the proportion of street area in the study area.

Problem 6: In actual shared vehicle operation, demand may change depending on fleet size, charging station location, etc.ls there any possibility to consider these factors?

Problem 7: The travel distance used as the objective in the optimization formulation seems too simplistic. When selecting the location for shared new electric vehicles, real-time traffic. land price. etc. should be considered.

Response to problems 6,7: Thank you very much for your advice. The factors you mentioned, such as fleet size, land price and real-time transportation, are indeed related to car-sharing operations. Other researchers in our research group have also studied these factors. The research perspective of this paper is mainly based on consumers, so we mainly took user demand factors into consideration when optimizing the site selection of shared new energy vehicles. Your suggestions have provided ideas for our follow-up research. We will continue to consider the location optimization of shared cars under the influence of various common factors, such as consumers, fleet size, charging station location and land price.

 

Author Response File: Author Response.pdf

Reviewer 4 Report

 

This paper is quite impressive in terms of your efforts to demonstrate the power of your study with realistic data and brand-new novelty. This study represents a contribution to this area of research. It is valuable and worthy of publication in a good journal with an international scope. The presented methodology and the results of the study are sufficiently described, relevant, and excellent to read in this modern time.

However, the writing of the whole manuscript needs MAJOR revisit as it does not require academic standards in the current form, according to the following comments and remarks:

1)      Abstract needs major revisit: more significant findings and implications should be mentioned. Rationale and background need to be bolder and more convincible.

2)      Literature to accentuate the gap of the study is not done well

3)      You have Figure 1, Figure 2 but did not mention them and explain their meanings in any writing, this is unacceptable.

4)      Line 32: “It’s” à It is

5)      Line 106-108: You mentioned some examples of limitations, thus need citations for some references for this part.

6)      Line 168: The sub-headings need to be uniformed

7)      Tables’ captions and their content needs to be reformatted: Capitalized and non-capitalized text are mixed up improperly. For example: Table 4.3.

8)      Line 224: factors not “factor”

9)      Major English revision needs to be revisit.

Comments for author File: Comments.pdf

Author Response

This paper is quite impressive in terms of your efforts to demonstrate the power of your study with realistic data and brand-new novelty. This study represents a contribution to this area of research. It is valuable and worthy of publication in a good journal with an international scope. The presented methodology and the results of the study are sufficiently described, relevant, and excellent to read in this modern time. However, the writing of the whole manuscript needs MAJOR revisit as it does not require academic standards in the current form, according to the following comments and remarks:

Response: We greatly appreciate your important and valuable feedback. We have put a high value on this opportunity you gave us. According to your feedback and suggestions, we have greatly revised and improved the manuscript. If it still needs to be improved, we sincerely hope we still have an opportunity. Thank you again for your encouragement and advice.

Problem 1: Abstract needs major revisit: more significant findings and implications should be mentioned. Rationale and background need to be bolder and more convincible.

Response: Thank you very much for your advice. We have revised the abstract. In the abstract, we restate the research background and conclusions of this paper. See lines 10-23 of the manuscript for details.

Problem 2: Literature to accentuate the gap of the study is not done well.

Response: Thank you very much for your advice. We continued to read some literature and reorganized the research status of shared new energy vehicle location. Combined with the research of this paper, the differences and similarities between this study and the existing literature are expounded in the new manuscript in lines 124-140.

Problem 3: You have Figure 1, Figure 2 but did not mention them and explain their meanings in any writing, this is unacceptable.

Problem 4: Line 32: “It’s”  It is

Problem 6: Line 168: The sub-headings need to be uniformed.

Problem 7: Tables’ captions and their content needs to be reformatted: Capitalized and non-capitalized text are mixed up improperly. For example: Table 4.3.

Problem 8: Line 224: factors not “factor”.

Problem 9: Major English revision needs to be revisit.

Response to problems 3,4,6,7,8,9: Thank you very much for your advice. Your suggestions are of great help to standardize the format of the paper and improve the content of the paper. We have reviewed and carefully revised the presentation and title format of the chart. Thank you very much for your feedback on the language. Thank you very much for your feedback. Your suggestions are important. We acknowledge that, as an academic research paper, there is indeed much room for improvement in the English presentation of this paper. Thank you for valuable suggestion.  According to your feedback, we have adjusted the language of this article as a whole and found a specialized translation agency to revise and embellish it. Due to there are many revised parts, we will not list them all here. Please refer to the second manuscript for details.

Problem 5: Line 106-108: You mentioned some examples of limitations, thus need citations for some references for this part.

Response: Thank you very much for your advice. In combination with the suggestions of several experts and the members of the research group to discuss together, we greatly modify the paper. The research status is also summarized again. As a result, lines 106-108 have been removed from the original manuscript. But your suggestions are still of great help to us in writing the new manuscript. We will pay attention to your suggestion and introduce references in the sample section in future writing. Thank you again for your help.

 

Author Response File: Author Response.pdf