Optimization for Feeder Bus Route Model Design with Station Transfer
Round 1
Reviewer 1 Report
This paper presents the interesting research on the optimization for feeder bus route using genetic algorithm and enumeration algorithm .
Some strong assumptions have been made but there is no proper discussions about the limitation and future work at the end.
The paper is well structured but there are some issues with English writing which need some attention. List three examples here:
Line 10: 'OD' what is it? origin-destination? need the full name when you use it at the first time in the paper.
Line 38-81: a long and broken sentence. A full stop should be used at ht end of the sentence.
Line 59: 'Although Genetic Algorithms have been widely used, there are still some other algorithms in use' This sentence is confusing here. Are you trying to say: Besides the widely-used genetic algorithms, some other algorithms are also in use to develop feeder bus routing model.
Author Response
Thank you for your suggestions, which will play a great role in the revision of the paper.
Please refer to the attachment for details. It contains the revised description and the revised article.
Author Response File: Author Response.pdf
Reviewer 2 Report
Dear authors,
I read your paper with interest.
I have several questions, which relate to the assumptions made (either explicit or implicit) and the way you present the results:
When discussing routing, what is your time perspective: Do you assume a constant or varying number of buses over the day?
How is this number related to the ridership (variations) over a day?
How is the number of buses related with the operational (and investment) cost?
Is the number of metros in your simulation constant during a day?
What is the service frequency of buses and metros?
p. 12 - When you vary the number of possible routes in your 'simulation', does the total number of buses in the system stay the same?
What is the impact of various routes on the ridership?
Do you assume actual passenger behaviour (from interviews) or a random distribution of O-D in an area.
When estimating travel times,do you consider a constant or variable speed of bus of tram depending on the route? Do you consider congestion?
How do you deal with peak- and non-peak hour demand?
How did you estimate the operational bus costs? What is in your formula?
p. 13 Why is the bus or metro system green - is it powered by green fuel sources?
A more general remark: It is common to assume a trade-off between operator interests and user interests because of limited financial or other resources. This influences the optimality of the solutions from both perspectives and the options to align both.
Thank you.
Author Response
Thank you for your suggestions, which will play a great role in the revision of the paper.
Please refer to the attachment for details. It contains the revised description and the revised article.
Author Response File: Author Response.docx
Round 2
Reviewer 2 Report
Dear authors,
Thank you for your positive response to my suggestions.
Best regards, xx