Study on Parking Adaptability in Urban Complexes on Top of Subways Based on Shared Parking Spaces

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The article “Study on the Adaptability of Parking in Urban Complexes on the Roof of the Metro Based on Shared Parking Spaces” addresses an important problem of modern cities, which is the management of parking space in urban complexes managed above the metro stations. This study aims to develop a parking demand prediction model that includes the shared use of parking spaces by different functions of the complexes (residential, office, commercial).

 

The article is well-developed, presents the main objectives and research methodology. available that the available method of allocating parking spaces in urban complexes leads to more parking spaces, which causes the waste of land resources and the use of spaces. The article introduces a new parking demand prediction model based on the shared use of parking spaces, and analyzes its adaptation in five urban complexes in Wuhan.

 

A detailed explanation of the urban parking problem is presented, the emerging problem of parking space shortage due to the emergence of the number of cars. The article notes that the traditional parking space allocation methods are inefficient for complexes with functions such as those located above the metro station. The following studies on the adaptation of parking in such complexes, the possibility of using parking spaces are presented.

 

General assessment of the article.

 

The article presents the results of a survey on the parking behavior of users of various urban function complexes. Analysis of these data allows determining the specification of requirements in parking spaces at different times of the day and for different users (residential, office, used). On this basis, the authors developed a model for predicting the demand for parking spaces, shared use of parking spaces. A detailed edition of the methodology for creating a parking demand prediction model. identifiers in it various applications, for the needs of parking spaces, such as location, increase in the number of cars, the proportion of public transport travel, and shared ownership of parking spaces. This model was verified on five urban complexes in Wuhan, and the results of the demand forecast for 2025 confirmed its effectiveness. The article ends with conclusions that affect the model for predicting the demand for parking spaces in the shared area of ​​parking spaces. This model allows for more advanced management of parking space in urban complexes, which may cause resource utilization and parking space shortage problems. The authors that this method can be widely distributed in various cities, causing urban development effects. It should be noted that the paper presents a solid scientific rationale for solving parking management problems in urban complexes above metro stations. It uses empirical data from surveys and studies to enable and validate a parking demand prediction model, which is a contribution to the literature on urban space management. The paper is well-structured and the methodology is clearly described, which increases its scientific value. The paper could address even more detailed issues related to the models and its applications in other urban contexts beyond Wuhan.

Reviewer

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The paper presents a significant topic of urban planning and parking management, especially in the context of mixed-use urban complexes. While the study offers valuable insights and develops a practical model for predicting parking demand, there are areas that require refinement, particularly in terms of data presentation, clarity of explanations, and substantiation of claims with appropriate literature. Addressing these comments will strengthen the paper's arguments and provide a clearer understanding of the research findings.

 

1. Figure Presentation and Consistency:

   • The colors used in Figure 3 appear inconsistent with the descriptions provided in the accompanying text. It is recommended to adjust the colors for better alignment with the described results.
   • Age and income groups should be presented numerically (e.g., "31-40" instead of "thirty one to forty years old"). This suggestion also applies to Figures 4 and 6, as well as Table 2.
   • The terminology used to describe Figures 3-5 as "distribution maps" or "statistical charts" should be reconsidered. They are more accurately described as pie charts.

2. Clarification and Detail Enhancement:

   • The formulas used for calculating location factors need to be explained in greater detail for clarity and comprehension.
   • Statements regarding the number of parking spaces required per additional car and the reduction in parking demand due to public transportation usage require citation from relevant literature. The paper should include references to support these claims.
   • In Table 9, there is a discrepancy between the title ("Car ownership in Wuhan in recent 10 years") and the data presented ("proportion of public transport trips"). Additionally, percentages in the table exceed 100%, which requires correction or clarification.

3. Methodology and Result Interpretation:

   • A more detailed explanation is needed regarding the results presented in Table 10. The process of deriving these results should be transparent and well-documented.
   • The calculation of correction factors for urban car growth and public transport requires further elaboration. The methods used to arrive at these factors should be clearly outlined.

4. Discussion and Literature Integration:

   • The paper would benefit from a dedicated discussion section. This section should address potential future actions, acknowledge the limitations of the study, and draw connections to existing literature. Highlighting the unique contributions and value of the research will enhance the paper's impact and relevance.

 

 

 

 

 

 

Comments on the Quality of English Language

Extensive editing is required to improve the clarity and readability of the text.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

On the basis of considering the factors of shared parking space, this paper makes an in-depth analysis of the parking adaptability of Wuhan Metro overlying complex, and analyzes the characteristics of parking demand and parking behavior. A parking demand prediction model based on shared parking space is established and its adaptability is analyzed. However, some problems need to be addressed in the following:

1.       There are some typographical errors in the article. For example, there was a typo in section 2.2.1, and the image in Figure 3 needs to be resized.

2.       The chart type in the article is too simple, and more comparison graphs can be added to analyze the data. For example, when analyzing the change of parking demand of different land uses over time, in addition to the table in the paper, comparison charts such as line chart can be added to better reflect the change of data, so as to analyze the characteristics of parking demand of urban complex under subway construction.

3.       The quality of figures in the paper should be improved. For example, the text in Figure 1 is too small to read, and the lines in the picture overlap with the text and need further modification.

4.       Finally, when analyzing the shared utility analysis of the urban complex on the top of the subway station, the parking demand before and after sharing can be compared in a more detailed way, highlighting the difference between the parking demand after conventional parking space allocation and the parking demand after shared parking space, so as to better verify the reliability of the parking demand model based on shared parking space through data.

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

Thank you for addressing my comments. Overall, you did a great work but there is still some things that should be improved:

Figures 4, 5 and 6 are pice charts. This doesn't mean that the term pie chart should be used as Pie Chart 4. Instead of Pie chart 4. Distribution map of personal attribute characteristics of respondents... you should write Figure 4. Pie chart of personal attribute characteristics of respondents...  Please alter the specific figures respectively. 

The discussion section is rather short and weak. Generally speaking, DISCUSSION provides the explanation and interpretation of results or findings by comparing them with the findings in prior studies. CONCLUSION is to write the output of the work/ investigations in summarized form. Discussion is how are these data compare with previous workers' finds. The Discussion and Conclusion section should be reorganised and rewritten based on the above. 

 

Author Response

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Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

Thanks for the efforts of responding my comments. You have addressed my concerns to a satisfactory level.

Author Response

Thanks for the efforts of responding my comments. You have addressed my concerns to a satisfactory level.

A:We sincerely appreciate your valuable advice before. Making revisions according to your suggestions is very helpful to improve the quality of our manuscripts.