You take your health with you

You take your health with you preview image

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Default-person Jonathan Stokes (Author)

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breed [people person]
breed [services service]
services-own [
  visits  ; Tracks the number of people visiting the service
]

people-own [
  income  ; Random for simplicity
  health  ; Held constant
  home-patch  ; Stores the patch that is the person's home
  last-relocation-tick  ; Tracks the last tick on which the person relocated their home
]

patches-own [
  housing-cost  ; Varies and may increase when services are nearby
]

to setup
  clear-all
  setup-people
  setup-services
  setup-housing-costs
  setup-zones
  reset-ticks
end 

to setup-people
  create-people num-people [
    setxy random-xcor random-ycor
    set home-patch patch-here  ; Sets the current patch as the person's home
    set income random-normal 1 0.5  ; Use a normal distribution for more variability
    ; Directly tie health to income
    ; This example assumes health should be in the range 0 to 1 and is linearly related to income
    set health min list 1 (max list 0 (income / 2))
    set shape "person"
    set color scale-color grey health 0 1  ; Visualize health levels through color intensity
    set last-relocation-tick 0  ; Initialize to 0 indicating they haven't relocated yet
  ]

  ; Calculate median income after all people are created
  let median-income median [income] of people
end 

to setup-services
  create-services num-services [
    setxy random-xcor random-ycor
    set shape "house"
      set color red
  ]
end 


; Define two zones

to setup-zones
  ask patches [
    ifelse pxcor < 0 [
      set pcolor blue  ; Zone 1
    ] [
      set pcolor black  ; Zone 2
    ]
  ]
end 

to setup-housing-costs
  ask patches [
    set housing-cost 0.5  ; Initial housing cost, for simplicity
  ]
end 

to go
  ask people [
    try-move-home-closer
  ]
  relocate-services  ; Check and potentially relocate services based on demand
  update-housing-costs  ; Adjust housing costs based on defined criteria

  update_my_plots
  update-health-inequality-plot
  update-service-count-plots
  tick
end 



; Relocate services based on some criteria, e.g., demand and competition

to relocate-services
  ask services [
    ; Calculate the average income for each zone
    let avg-income-zone1 mean [income] of people with [pxcor < 0]
    let avg-income-zone2 mean [income] of people with [pxcor >= 0]

    ; Count the number of services in each zone
    let services-count-zone1 count services with [pxcor < 0]
    let services-count-zone2 count services with [pxcor >= 0]

    ; Determine the desirability of each zone based on income and competition
    ; This example uses a simple metric: average income minus a penalty for the number of services
    let desirability-zone1 (avg-income-zone1 - 0.1 * services-count-zone1)
    let desirability-zone2 (avg-income-zone2 - 0.1 * services-count-zone2)

    ; Choose the zone with higher desirability
    let target-zone ifelse-value (desirability-zone1 > desirability-zone2)
      [one-of patches with [pxcor < 0]] [one-of patches with [pxcor >= 0]]

    ; Move to the selected zone and reset visits
    move-to target-zone
    set visits 0
  ]
end 



; People try to move closer to the service and consider affordability

to try-move-home-closer
  ask people [
    ; Check if it's time to try moving (e.g., every 10 ticks)
    if ticks mod 10 = 0 [
      let my-income income
      let nearest-service min-one-of services [distance myself]
      let potential-new-homes patches in-radius 10 with [housing-cost < my-income and not any? people-here]
      let new-home min-one-of potential-new-homes [distance nearest-service]

      ; Move if a new home is found and it's closer to the nearest service
   if new-home != nobody and [distance new-home] of nearest-service < [distance myself] of nearest-service [
      move-to new-home
      set home-patch new-home
        set last-relocation-tick ticks
      ]
    ]
  ]
end 

to update-housing-costs
  ask patches [
    ; Gather incomes of people within a certain radius
    let incomes [income] of turtles in-radius 10 with [breed = people]

    ; Calculate the mean income if there are any people within the radius
    if not empty? incomes [
      let local-avg-income mean incomes
      ; Calculate service proximity for each patch, e.g., average distance to nearest service
      let nearest-service min-one-of services [distance myself]
      let service-proximity ifelse-value (nearest-service != nobody) [distance nearest-service] [max-pxcor + max-pycor] ; Fallback to a large distance if no service is found

      ; Adjust housing cost based on local average income and service proximity
      set housing-cost 0.5 + (0.05 * local-avg-income) - (0.01 * service-proximity)

      ; Ensure housing cost stays within bounds
      set housing-cost max list 0.1 (min list housing-cost 3.0)
    ]
  ]
end 

to update_my_plots
  ; Update the Health Over Time plot
  set-current-plot "Population health over time"
  plot mean [health] of people
end 

to update-service-count-plots
  ; Calculate the total number of services in each of the two zones
  let services-zone1 count services with [pxcor < 0]
  let services-zone2 count services with [pxcor >= 0]

  ; Ensure the correct plot is selected for updating
  set-current-plot "Services in each Zone"

  ; Update the plot for services in each zone
  set-current-plot-pen "Zone1"
  plot services-zone1

  set-current-plot-pen "Zone2"
  plot services-zone2
end 

to update-health-inequality-plot
  ; Calculate average health for each zone
  let avg-health-zone1 mean [health] of people with [pxcor < 0]
  let avg-health-zone2 mean [health] of people with [pxcor >= 0]

  ; Update the plot
  set-current-plot "Health Inequality"

  set-current-plot-pen "Zone1"
  plot avg-health-zone1

  set-current-plot-pen "Zone2"
  plot avg-health-zone2
end 

There is only one version of this model, created about 1 month ago by Jonathan Stokes.

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