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Article
Peer-Review Record

Forecasting Daily Activity Plans of a Synthetic Population in an Upcoming District

Forecasting 2024, 6(2), 378-403; https://doi.org/10.3390/forecast6020021
by Rachid Belaroussi * and Younes Delhoum
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Forecasting 2024, 6(2), 378-403; https://doi.org/10.3390/forecast6020021
Submission received: 5 April 2024 / Revised: 15 May 2024 / Accepted: 17 May 2024 / Published: 22 May 2024
(This article belongs to the Special Issue Feature Papers of Forecasting 2024)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

See file attached

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

The main aim of the described research is to estimate spatio-temporal patterns of people activities by using limited data.

It is always problematic to prepare the estimation is scale of whole day and whole population.

Structure of the paper is good.

I would like to ask Authors to more clearly describe the original part of the used method. Gravity model is well known, and MATSim usage also. One is generator, but was already described in other publication.

Anyway the paper is good and worth publishing after minor corrections/additions introduced.

How you calibrated the model? Especially space resistance function (frequency of travels in relation to distance)?

Next please write more about limitation of the proposed method and future research plans (in conclusion part).

Author Response

Please see the attachment

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

I am satisfied with the changes made by the authors and I believe the article deserves to be published

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