The purpose of the model is to generate the spatio-temporal distribution of bicycle traffic flows at a regional scale level. Disaggregated results are computed for each network segment with the minute time step. The human decision-making is governed by probabilistic rules derived from the mobility survey.
Download GAMA-platform (GAMA1.7RC2 version) from https://gama-platform.github.io/. This platform requires to install Java 1.8 and minimum of 4 GB of RAM.
After installation set up the maximum memory allocated to GAMA to at least 8 GB. It is possible through GAMA menu in Help -> Preferences -> Interface. Make sure GAMA uses the same coordinate reference system as the input shapefiles (EPSG:32633) in Help -> Preferences -> Data and Operators.
The download zip has a folder named “code” which holds gama project files. Import these files into GAMA by right-clicking on User-models in Models tab of GAMA interface. Select GAMA project. In new window browse to “code” folder as a root directory. Make sure to check the box “Copy project into workspace”. Click Finish.
As an alternative to zip you can use direct link to GitHub repository https://github.com/ZGIS/Bicycle-model.
This version of code has a logical error in the assignment of forbidden activities. To correct it, replace code on lines 638-643 inside of the loop on line 632.
Project consists of input data in “includes” and model code in “models”.
Before running model code there is an option to parameterize routing algorithm by selecting either “shortest path” or “safest path” (default). Another parameter is responsible for visualization of facilities on display by type.
After model run output data is saved in “includes/output_data”.
Model initialization takes approximately 1 h and simulation runs approximately 3 h. For better performance it is better to close display windows with output graphs and diagrams after initialization.
|Version||Submitter||First published||Last modified||Status|
|2.0.0||Dana Kaziyeva||Mon Feb 22 14:32:32 2021||Mon Feb 22 14:32:32 2021||Published|
|1.0.0||Dana Kaziyeva||Tue Jan 15 09:39:40 2019||Tue Jan 15 09:39:40 2019||Published|