inhabitant's_travel_mode: This is the same as “travel_mode”. We would need to choose one. I’d suggest Travel_mode.

inhabitant's_travel_mode_preference: This is the same as “travel_mode_preference”. We would need to choose one. I’d suggest Travel_mode_preference

charts when plotted with dates instead of ticks, the chart does not show up properly labelled x axis.

add monitors for behavior to observer number of people having a certain behavior (repeat, imitate, inquire, optimize)

travel_mode_preference: DESCRIPTION: the agent’s preferred travel mode. This preference is randomly assigned at the beginning of the simulation and is fixed throughout the simulation.

• Check data from Julia especially area destinations

• Make a methodology for Bus Travel by Tourists especially if they do a mode choice each leg of their tour or in advance

• Mode choice each trip, so agent should choose from walk, public transport... exclude cycle? I did not see information on mode choice of tourist in Julia, for her all are walking !

• Variables for Needs Calculations

• Existence need – here relates to attractiveness score of tourist attractions

• Personal need – here relates to the personal preference for a specific activity type

• Social need – here relates to agents own choice and that of its peers. Hereby, the agents desires to be similar in activity choice, but better in attractiveness score of selected activity than its peers

• Check with Julia, difference between walking and sight-seeing

• use attractiveness score ( cultural activity) based on Wikipedia - List of most visited museums in NL

This one you missed: inhabitant's_overall_peers: DESCRIPTION: this is an individual agent’s list that contains the agent number of all the peers selected by the agent at any moment during the simulation. This list can contain repetition of agent numbers, as agents can be repeatedly selected as peer during different time steps.

inhabitant_relative_travel_speed: We discussed about this.. i do not clearly remember what we decided.. do you??

max_difference_travel_mode: DESCRIPTION: While, all travel options are numbered in a specific order based on similarity from 1 to 8. The max difference shows the absolute difference between travel mode options. In the case of 8 options, this will be equal to 8.

inhabitant's_current_peers: DESCRIPTION: this is an individual agent’s list that contains the agent number of the peers selected by the agent in the current time step

relative_difference_in_travel_mode_preference: DESCRIPTION: This is the relative difference between the preferred travel mode of an agent and that of a potential peer (=another agent). The absolute difference between these two preferred travel modes is then expressed as a relative value taking into account the similarity between travel modes.

relative_difference_in_travel_mode: DESCRIPTION: This is the relative difference between the current travel mode of an agent and that of a potential peer (=another agent). The absolute difference between these two preferred travel modes is then expressed as a relative value taking into account the similarity between travel modes.

relative_difference_home_work_distance DESCRIPTION: This is the relative difference between the home work distance of an agent and that of a potential peer (=another agent).

relative_difference_to_current_peers_travel_mode: DESCRIPTION: This is the relative difference between the selected travel mode of an agent and that of a potential peer (=another agent). The absolute difference between these two selected travel modes is then expressed as a relative value taking into account the similarity between travel modes.

list_of_other_inhabitants_inhabitants_inhabitant_is_currently_peer_of: SHOULD be CORRECTED as: list_of_other_inhabitants_inhabitant_is_currently_peer_of: DESCRIPTION: this is an individual agent’s list that contains the agent numbers of the agents who selected the agent as their peer in the current time step

as part of debugging introduce a chart that can compare expected (free flow travel time) and congested travel time

Hi,
For me, you describe two agent types, " inhabitants" and "peers" of which you see peers as a subset of inhabitants.
This is not correct in my opinion. All agents will belong to one type of agent e.g. inhabitant, tourist, while at the same time they are each others peers. But peer is not an agent type ansich

Change histogram showing number of agents taking a certain decision to series chart

Travel mode: DESCRIPTION: The travel mode selected by the agent as the result of the internal CONSUMAT decision-making process of agents.

currently this is done by a gaussian operator ... complex... will be simplified to a weighted vector with associated probability

when dummy values go into the behavior calculation, the model works as expected. add a release with dummy values on line 1016 on first.gaml of this commit

list_of_other_inhabitants_inhabitants_inhabitant_was_currently_peer_of: SHOULD be CORRECTED as:list_of_other_inhabitants_inhabitant_was_peer_of: DESCRIPTION: this is an individual agent’s list that contains the agent numbers of the agents who selected the agent as their peer during the past time steps of the simulation

What is peer selection??

Hi do you think it is needed to write detailed descriptions of all attributes and variables? I think that the names are chosen in a way that they need little explanation..? What do you think?
So far I have only done what you put out there and where you left the description black...