Bicycle model (2.0.0)
            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.
             
            Release Notes
            Installing
Download the GAMA-platform (GAMA1.8 with JDK version) from https://gama-platform.github.io/. The platform requires a minimum of 4 GB of RAM.
After installation set up the maximum memory allocated to the GAMA to at least 4 GB. It is possible through the GAMA menu in Help -> Preferences -> Interface. Make sure the platform uses the same coordinate reference system as the input shapefiles (EPSG:32633) in Help -> Preferences -> Data and Operators.
The download zip has the “code” folder with the GAMA project files. Import these files into the GAMA by right-clicking on the “User-models” in the “Models” tab of the GAMA interface. Select the “GAMA project”. In the new window browse to the “code” folder as a root directory. Make sure to check the boxes “Search for nested projects” and “Copy project into workspace”. Click Finish.
Alternatively,  you can download the model from the GitHub repository https://github.com/ZGIS/Bicycle-model
Running experiment
The input data of the project is in the “includes” folder and the model code in the “models” folder under “bicycle_model.gaml” name.
Before running the model code there is an option to parameterize the routing algorithm by selecting either the “shortest path” or “safest path” (default). The rest of the parameters is used to set the weights for bikability index calculation.
Associated publications
Kaziyeva, D.; Loidl, M.; Wallentin, G. Simulating Spatio-Temporal Patterns of Bicycle Flows with an Agent-Based Model. ISPRS Int. J. Geo-Inf. 2021, 10, 88. https://doi.org/10.3390/ijgi10020088
            Associated Publications
            
         
    
    
        
        
            
        
        Bicycle model 2.0.0
        
            
                Submitted by
                
                    Dana Kaziyeva
                
            
            
                
                    Published Feb 22, 2021
                
            
            
                Last modified Feb 22, 2021
            
         
        
        
            
                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.
             
            
                
                
                
            
            
            Release Notes
            
                
Installing
Download the GAMA-platform (GAMA1.8 with JDK version) from https://gama-platform.github.io/. The platform requires a minimum of 4 GB of RAM.
After installation set up the maximum memory allocated to the GAMA to at least 4 GB. It is possible through the GAMA menu in Help -> Preferences -> Interface. Make sure the platform uses the same coordinate reference system as the input shapefiles (EPSG:32633) in Help -> Preferences -> Data and Operators.
The download zip has the “code” folder with the GAMA project files. Import these files into the GAMA by right-clicking on the “User-models” in the “Models” tab of the GAMA interface. Select the “GAMA project”. In the new window browse to the “code” folder as a root directory. Make sure to check the boxes “Search for nested projects” and “Copy project into workspace”. Click Finish.
Alternatively,  you can download the model from the GitHub repository https://github.com/ZGIS/Bicycle-model
Running experiment
The input data of the project is in the “includes” folder and the model code in the “models” folder under “bicycle_model.gaml” name.
Before running the model code there is an option to parameterize the routing algorithm by selecting either the “shortest path” or “safest path” (default). The rest of the parameters is used to set the weights for bikability index calculation.
Associated publications
Kaziyeva, D.; Loidl, M.; Wallentin, G. Simulating Spatio-Temporal Patterns of Bicycle Flows with an Agent-Based Model. ISPRS Int. J. Geo-Inf. 2021, 10, 88. https://doi.org/10.3390/ijgi10020088