TABLE 5.
Gender index by activity.
| Case study (total network lines) | ||||||
|
| ||||||
| ST.PAU (481) | Resting | Walking | Playing | Sport (1) | Working (4) | |
| Man | 26,819 | 7,900 | – | – | 0,831 | |
| Woman | 7,277 | 3,950 | – | – | 0,208 | |
| Child_male | 0,624 | 0,415 | 0,415 | – | – | |
| Child_female | 0,208 | 0,623 | – | – | – | |
| Boy | 4,366 | 1,455 | 0,208 | – | – | |
| Girl | 0,416 | 1,663 | – | – | – | |
| Old_man | 5,198 | 1,455 | – | – | – | |
| Old_woman | – | – | – | – | – | |
| Talking | ||||||
| Group_men | 34,927 | 1,039 | 2,079 | 0,831 | 2,702 | |
| Group_women | 6,237 | 1,039 | 7,068 | 0,208 | 0,208 | |
| Group_mixt | 14,761 | 1,871 | 2,494 | – | 1,455 | |
|
| ||||||
| THREE CHIMNEYS (726) | Resting | Walking | Playing | Sport (2) | Working (4) | |
|
| ||||||
| Man | 21,212 | 2,203 | – | 2,203 | 0,826 | |
| Woman | 4,821 | 2,066 | 0,275 | 0,275 | 1,652 | |
| Child_male | 0,275 | – | 0,275 | 1,239 | – | |
| Child_female | – | – | 0,413 | 0,137 | – | |
| Boy | 7,300 | 0,137 | 0,137 | 4,132 | – | |
| Girl | 1,652 | 0,275 | – | 0,688 | – | |
| Old_man | 10,606 | 1,652 | – | 0,137 | – | |
| Old_woman | 0,964 | 0,137 | – | – | – | |
| Talking | ||||||
| Group_men | 27,410 | 1,239 | 4,958 | 19,696 | 0,551 | |
| Group_women | 10,055 | 0,413 | 4,958 | 0,826 | – | |
| Group_mixt | 11,570 | 1,652 | 1,652 | 0,964 | 0,275 | |
|
| ||||||
| PEGASO (634) | Resting | Walking | Playing | Sport (3) | Working (4) | |
|
| ||||||
| Man | 10,725 | 12,618 | 0,315 | 1,261 | 1,419 | |
| Woman | 7,413 | 9,621 | 0,157 | – | 0,157 | |
| Child_male | 0,157 | – | – | 0,157 | – | |
| Child_female | – | – | – | – | – | |
| Boy | 1,892 | 2,523 | 0,157 | 0,631 | – | |
| Girl | 0,631 | 2,050 | – | 0,157 | – | |
| Old_man | 5,993 | 6,151 | – | – | – | |
| Old_woman | 1,735 | 1,735 | – | – | – | |
| Talking | ||||||
| Group_men | 12,776 | 3,470 | 8,832 | 3,154 | 2,523 | |
| Group_women | 7,097 | 5,047 | 9,306 | 0,946 | 0,315 | |
| Group_mixt | 10,094 | 4,574 | 5,362 | 0,946 | 1,104 | |
Average of lines linking activities with gender profile per case study.
(1) Sport_football, Sport_basket, and Sport_biking.
(2) Sport_football, Sport_basket, Sport_skate, Sport_petanque, Running, Stretching, Sport_biking, and Sport_cricket.
(3) Sport_football, Sport_basket, Sport_petanque, Running, Stretching, Sport_bike, Sport_taichi, and Sport_kickboxing.
(4) Work_maintenance, and Surveillance.