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Supplemental Information

Main program code

Here is the Python code for the main program execution.

DOI: 10.7287/peerj.preprints.27562v1/supp-1

NSGA2 algorithm code

Here is the executable code of the NSGA2 algorithm.

DOI: 10.7287/peerj.preprints.27562v1/supp-2

Variance algorithm code

Here is the executable code of the variance algorithm

DOI: 10.7287/peerj.preprints.27562v1/supp-3

Pylouvain algorithm code

Here is the executable code for the pylouvain algorithm

DOI: 10.7287/peerj.preprints.27562v1/supp-4

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Lin Fei analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper.

Yang Yang conceived and designed the experiments, performed the experiments, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Wang Shihua contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper.

Xu Yudi performed the experiments, performed the computation work.

Ma Hong analyzed the data, prepared figures and/or tables, research funding.

Data Deposition

The following information was supplied regarding data availability:

The [New York public bicycle data] data used to support the findings of this study have been deposited in the [Citi Bike Trip Histories] repository ([https://www.citibikenyc.com]).

The [Chicago public bicycle data] data used to support the findings of this study have been deposited in the [Divvy Data] repository ([https://www.divvybikes.com]).

Funding

The authors received no funding for this work.


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