From c6a673a8514047e0ffb4806df9594c44480f86e3 Mon Sep 17 00:00:00 2001 From: "Daniel S. Katz" Date: Fri, 11 Aug 2023 07:53:54 -0500 Subject: [PATCH 1/2] small changes in paper --- paper.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/paper.md b/paper.md index 190c82a..6ade0eb 100644 --- a/paper.md +++ b/paper.md @@ -37,17 +37,17 @@ commonly referred to as trip distribution model in the four-step travel framework. In order to facilitate the use and comparison of trip distribution models, and -more generally spatial distribution models, we present **TDML** an R package +more generally spatial distribution models, we present **TDML**, an R package providing a set of easy-to-use functions to rigorously and fairly compare trip distribution laws and models as described in @Lenormand2016. # Statement of need -Trip distribution models are generally composed of two mechanisms, one mechanism +Trip distribution models are generally composed of two mechanisms, one based on a 'law' to estimate the probability that an individual moves from one -location to another and a second mechanism based on a 'model' used to estimate +location to another and a second based on a 'model' used to estimate the number of individuals moving from one location to another. These two -mechanisms are rarely disentangled which could lead to methodological flaws when +mechanisms are rarely disentangled, which could lead to methodological flaws when comparing different laws and/or models [@Lenormand2012;@Simini2012;@Masucci2013; @Yang2014]. This is particularly important when we compare the two historical approaches - gravity and intervening opportunities - for the estimation of @@ -56,12 +56,12 @@ trip distribution. We identified several R packages providing an implementation of spatial interaction models that can be used to estimate trip distributions. The **gravity** package [@Wolwer2018], the **spflow** -package [@Dargel2021], the **mobility** package [@Giles2021] and the **simodels** -package [@Lovelace2023]. The **gravity**, **spflow** and **mobility** packages +package [@Dargel2021], the **mobility** package [@Giles2021], and the **simodels** +package [@Lovelace2023]. The **gravity**, **spflow**, and **mobility** packages are based on statistical models and have not been designed to compare gravity and intervening opportunities laws and constrained models independently. Although the package structure and functionality of **simodels** are very -different from that of **TDLM**, it offers the possibility to compare trip +different from those of **TDLM**, it offers the possibility to compare trip distribution laws and models independently. **simodels** proposes an interesting approach by not defining (nor encouraging the use of) any particular trip distribution laws, but this also makes the systematic comparison @@ -86,8 +86,8 @@ the simulated matrices against observed data. * **run_law_model** is the main function of the package. This function estimates mobility flows using different distribution laws (four gravity laws, three -intervening opportunity laws and a uniform law) and models (unconstrained, -production constrained, attraction constrained and doubly constrained). The +intervening opportunity laws, and a uniform law) and models (unconstrained, +production constrained, attraction constrained, and doubly constrained). The function has two sets of arguments, one for the law and another one for the model. From 590c733379b979db9391ad79af1209d10fae47cc Mon Sep 17 00:00:00 2001 From: "Daniel S. Katz" Date: Fri, 11 Aug 2023 07:54:30 -0500 Subject: [PATCH 2/2] small change in bib --- paper.bib | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper.bib b/paper.bib index 7bdbe38..2874f0e 100644 --- a/paper.bib +++ b/paper.bib @@ -65,7 +65,7 @@ @Article{Masucci2013 @Article{Wolwer2018, author = {W{\"o}lwer, A.-L. and Burgard, J. P. and Kunst, J. and Vargas, M.}, journal = {Journal of Open Source Software}, - title = {Gravity: Estimation Methods for Gravity Models in R}, + title = {Gravity: Estimation Methods for Gravity Models in {R}}, year = {2018}, number = {31}, pages = {1038},