Greater Malé RegionReference
Toolkit data
The counts and scores behind Chapter 02, toolkit by toolkit. The book's Appendix A.
A.01Toolkit data
What the toolkits counted, on all three islands. Digital edition only.
These pages hold the survey data behind Chapter 02. Each toolkit has its own page, with the three islands in the same order as the rest of the book: Malé, Villimalé, Hulhumalé. Where a theme page prints a number, the same number can be worked out here.
We surveyed each island on two days, one weekday and one rest day, each in three blocks: 10:00 to 12:00, 16:00 to 18:00 and 20:00 to 22:00.
| What Was Surveyed | Malé | Villimalé | Hulhumalé | |||
|---|---|---|---|---|---|---|
| Toolkit 1 | Land use and building scale | street segments | 10 | 15 | 6 | A.02 |
| Toolkit 2 | Activity, comfort and safety | survey areas | 6 | 8 | 6 | A.03 |
| Toolkit 3 | Density and housing quality | plots | 36 | 69 | 8 | A.04 |
| Toolkit 5 | Walking activity and movement count | survey areas | 6 | 8 | 6 | A.07 |
| Toolkit 6 | Public space quality and microclimate | spaces | 10 | 11 | 6 | A.08 |
HOW TO READ THE TABLES
– not recorded. A zero is printed as 0.
est. worked out, not counted; the method is on page A.09.
Not shown Toolkit 4, and Villimalé's movement tally (Toolkit 5), for the reasons on page A.09.
Order rows follow each group's own numbering, so a row can be found on the group's map in Chapter 02.
Totals are worked out again from the rows, not copied from the groups' sheets. Shares are of the total length, count or area, not averages of the rows.
Codes every letter in a table is spelled out under it.
WHERE THE DATA IS KEPT
The groups' field sheets are kept in data/toolkit_survey_all_islands.xlsx, one sheet per island and toolkit (M-, V-, H-). The field sheets number some toolkits differently from the book: book Toolkit 3 is field sheet T5, Toolkit 5 is T3-A, and Toolkit 6 is T4. This appendix uses the book's numbers. Its pages are numbered A.01 to A.09, apart from the printed book.
A.02Toolkit 1: Land use and building scale
Every street was walked in segments and each segment graded from A (active) to E (inactive), after Gehl's study of Perth (2009), from its doors, closed frontage, variety and detail.
| Segment | Length M | Uses | Units | Doors | Doors Per 100 M | Closed % | Head Height, M | Diversity | Detail | Grade |
|---|---|---|---|---|---|---|---|---|---|---|
| MALÉ · 10 SEGMENTS | ||||||||||
| 1 | 53 | RC | 7 | 19 | 35.8 | 50 | 2.5 | medium | medium | D |
| 2 | 50 | RC | 12 | 21 | 42.0 | 30 | 2.5 | medium | medium | C |
| 3 | 18 | RC | 10 | 12 | 66.7 | 70 | 3.0 | low | low | D |
| 4 | 33 | RC | 8 | 6 | 18.2 | 50 | 3.0 | low | low | D |
| 5 | 72 | C | 4 | 9 | 12.5 | 30 | 3.0 | medium | medium | C |
| 6 | 33 | C | 4 | 8 | 24.2 | 50 | 3.0 | medium | medium | D |
| 7 | 350 | I | 1 | 2 | 0.6 | 90 | – | low | low | E |
| 8 | 65 | RI | 8 | 13 | 20.0 | 70 | 3.0 | low | medium | D |
| 9 | 25 | R | 4 | 6 | 24.0 | 50 | 3.0 | low | low | D |
| 10 | 20 | CR | 2 | 4 | 20.0 | 30 | 3.0 | medium | medium | C |
| All 10 | 719 | 60 | 100 | 13.9 | 68 | Graded D or E: 80% of the length | ||||
| VILLIMALÉ · 15 SEGMENTS | ||||||||||
| 1 | 100 | R | 7 | 15 | 15.0 | 55 | 1.7 | low | medium | D |
| 2 | 100 | R | 6 | 11 | 11.0 | 85 | 1.8 | medium | medium | E |
| 3 | 100 | R/C | 11 | 14 | 14.0 | 55 | 1.9 | medium | medium | D |
| 4 | 100 | R/C | 6 | 11 | 11.0 | 45 | 1.8 | medium | medium | C |
| 5 | 100 | R | 3 | 1 | 1.0 | 75 | 2.5 | low | low | E |
| 6 | 100 | R | 12 | 19 | 19.0 | 70 | 1.9 | low | high | D |
| 7 | 100 | R/C | 10 | 13 | 13.0 | 35 | 1.8 | high | high | C |
| 8 (1) | 52 | V | 0 | 1 | 1.9 | 95 | 1.1 | medium | medium | E |
| 9 (2) | 57 | R/C | 6 | 8 | 14.0 | 75 | 1.8 | medium | high | E |
| 10 (3) | 78 | I | 2 | 3 | 3.8 | 85 | 3.0 | medium | low | E |
| 11 (4) | 76 | I | 1 | 4 | 5.3 | 95 | 3.0 | low | low | E |
| 12 (5) | 40 | R(1),V(1) | 6 | 0 | 0.0 | 15 | 0.0 | 1 | low | B |
| 13 (6) | 60 | W(3),R(1),V(2) | 6 | 6 | 10.0 | 36 | 1.6 | 2 | medium | C |
| 14 (7) | 53 | R(2),W(1),V | 6 | 6 | 11.3 | 50 | 1.7 | 2 | medium | D |
| 15 (8) | 82 | W,V | 6 | 4 | 4.9 | 30 | 1.7 | 1 | low | E |
| All 15 | 1,198 | 88 | 116 | 9.7 | 61 | Graded D or E: 75% of the length | ||||
| HULHUMALÉ · 6 SEGMENTS | ||||||||||
| 1 | 100 | CFV | 4 | 4 | 4.0 | 40 | 4.1 | high | medium | C |
| 2 | 100 | CFI | 15 | 5 | 5.0 | 30 | 4.1 | medium | low | C |
| 3 | 100 | CIV | 2 | 50 | 50.0 | 40 | 4.1 | high | medium | C |
| 4 | 100 | CX | 8 | 8 | 8.0 | 30 | 4.1 | high | medium | C |
| 5 | 100 | CIV | 2 | 50 | 50.0 | 40 | 4.1 | high | medium | C |
| 6 | 100 | CIV | 2 | 50 | 50.0 | 40 | 4.1 | high | medium | C |
| All 6 | 600 | 33 | 167 | 27.8 | 37 | Graded D or E: 0% of the length | ||||
Uses, as coded on the field sheets: R residential, C commercial, I industrial, V vacant, W warehouse; F and X to be confirmed with the Hulhumalé group. Closed: the share of the frontage with no door or window onto the street.
A.03Toolkit 2: Activity, comfort and safety
Everyone who stopped in each survey area, by what they were doing, over all six sessions.
| Area | Standing At A Door | On A Threshold | On A Wall Or Vehicle | On A Joali Or Seat | Waiting | Children Playing | Vendor Or Goods | Other | All | Share Of Island |
|---|---|---|---|---|---|---|---|---|---|---|
| MALÉ · 6 AREAS | ||||||||||
| 01 | 82 | 37 | 58 | 95 | 85 | 0 | 20 | 0 | 377 | 39% |
| 02 | 73 | 0 | 29 | 0 | 27 | 0 | 12 | 0 | 141 | 15% |
| 03 | 25 | 0 | 24 | 0 | 27 | 0 | 6 | 5 | 87 | 9% |
| 04 | 90 | 0 | 38 | 0 | 80 | 0 | 9 | 0 | 217 | 22% |
| 05 | 38 | 1 | 18 | 0 | 31 | 0 | 4 | 0 | 92 | 10% |
| 06 | 18 | 1 | 14 | 0 | 19 | 0 | 1 | 0 | 53 | 5% |
| All | 326 | 39 | 181 | 95 | 269 | 0 | 52 | 5 | 967 | |
| VILLIMALÉ · 16 AREAS | ||||||||||
| 01 | 15 | 4 | 4 | 6 | 22 | 0 | 14 | 0 | 65 | 16% |
| 02 | 13 | 0 | 2 | 3 | 3 | 3 | 6 | 5 | 35 | 9% |
| 03 | 0 | 2 | 0 | 0 | 6 | 0 | 0 | 0 | 8 | 2% |
| 04 | 10 | 1 | 1 | 2 | 22 | 2 | 1 | 0 | 39 | 10% |
| 05 | 19 | 3 | 9 | 6 | 29 | 5 | 5 | 0 | 76 | 19% |
| 06 | 15 | 2 | 7 | 5 | 31 | 4 | 6 | 5 | 75 | 19% |
| 07 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | 2% |
| 08 | 4 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 9 | 2% |
| 09 (1) | 0 | 0 | 5 | 2 | 3 | 3 | 1 | 2 | 16 | 4% |
| 10 (2) | 5 | 0 | 1 | 6 | 4 | 5 | 0 | 1 | 22 | 6% |
| 11 (3) | 0 | 0 | 0 | 0 | 6 | 4 | 1 | 0 | 11 | 3% |
| 12 (4) | 0 | 0 | 0 | 9 | 1 | 0 | 0 | 0 | 10 | 3% |
| 13 (5) | 0 | 0 | 0 | 5 | 2 | 0 | 0 | 0 | 7 | 2% |
| 14 (6) | 0 | 0 | 0 | 4 | 2 | 0 | 1 | 0 | 7 | 2% |
| 15 (7) | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 5 | 1% |
| 16 (8) | 0 | 0 | 1 | 4 | 1 | 0 | 1 | 0 | 7 | 2% |
| All | 81 | 13 | 33 | 56 | 135 | 26 | 36 | 19 | 399 | |
| HULHUMALÉ · 6 AREAS | ||||||||||
| 01 | 8 | 1 | 23 | 22 | 20 | 10 | 0 | 0 | 84 | 7% |
| 02 | 7 | 5 | 0 | 128 | 21 | 74 | 1 | 18 | 254 | 22% |
| 03 | 19 | 0 | 0 | 183 | 9 | 150 | 1 | 9 | 371 | 33% |
| 04 | 32 | 8 | 9 | 110 | 17 | 20 | 20 | 23 | 239 | 21% |
| 05 | 6 | 5 | 24 | 26 | 23 | 12 | 0 | 0 | 96 | 8% |
| 06 | 2 | 0 | 5 | 65 | 16 | 2 | 0 | 0 | 90 | 8% |
| All | 74 | 19 | 61 | 534 | 106 | 268 | 22 | 50 | 1,134 | |
| By Session, All Areas | Rest Day 10:00 | 16:00 | 20:00 | Weekday 10:00 | 16:00 | 20:00 | All |
|---|---|---|---|---|---|---|---|
| Malé | 126 | 204 | 113 | 162 | 221 | 141 | 967 |
| Villimalé | 66 | 102 | 54 | 49 | 95 | 33 | 399 |
| Hulhumalé | 174 | 562 | 398 | 0 | 0 | 0 | 1,134 |
On a threshold: sitting on a door step. Share of island: the area's part of everyone staying on that island. Villimalé's sheet has 16 areas, 01 to 08 and (1) to (8), all shown as recorded.
A.04Toolkit 3: Density and housing quality
Each plot's density, from its floors and floor area, beside a housing quality score out of 32 for its uses, ground-floor access, human scale, diversity and flexibility.
| Plot | Plot Area, M² | Floors | Floor Area, M² | Coverage, % | Far, As Used | Gfa ÷ Plot Area | Uses | Groundfloor | Human Scale | Diversity | Flexibility | Score Of 32 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MALÉ · 36 PLOTS | |||||||||||||
| 1-1 | 59 | 7 | 413 | 100 | 6.00 | 7.00 | 0 | 0 | 2 | 2 | 3 | 7 | dense |
| 1-2 | 146 | 5 | 730 | 100 | 3.00 | 5.00 | 2 | 0 | 3 | 2 | 3 | 10 | dense |
| 1-3 | 86 | 1 | 86 | 100 | 1.00 | 1.00 | 1 | 0 | 2 | 2 | 2 | 7 | not dense |
| 1-4 | 170 | 8 | 1,360 | 100 | 7.00 | 8.00 | 2 | 0 | 3 | 2 | 3 | 10 | dense |
| 1-5 | 117 | 0 | 0 | 100 | 0.00 | 0.00 | – | 0 | – | – | – | 0 | not dense |
| 1-6 | 121 | 5 | 605 | 100 | 4.00 | 5.00 | 2 | 0 | 3 | 2 | 2 | 9 | dense |
| 1-7 | 41 | 6 | 246 | 100 | 5.00 | 6.00 | 2 | 0 | 3 | 2 | 2 | 9 | dense |
| 2-1 | 72 | 5 | 360 | 100 | 4.00 | 5.00 | 0 | 0 | 3 | 2 | 3 | 8 | dense |
| 2-2 | 53 | 4 | 212 | 100 | 4.00 | 4.00 | 0 | 0 | 2 | 2 | 2 | 6 | dense |
| 2-3 | 152 | 8 | 1,216 | 100 | 5.00 | 8.00 | 2 | 0 | 3 | 2 | 3 | 10 | dense |
| 2-4 | 70 | 2 | 140 | 100 | 1.00 | 2.00 | 0 | 0 | 2 | 2 | 2 | 6 | not dense |
| 3-1 | 235 | 7 | 1,645 | 100 | 5.00 | 7.00 | 2 | 0 | 5 | 4 | 5 | 16 | dense, good |
| 3-2 | 235 | 4 | 940 | 100 | 3.00 | 4.00 | 1 | 0 | 4 | 4 | 6 | 15 | dense |
| 4-1 | 485 | 10 | 4,850 | 100 | 6.00 | 10.00 | 1 | 0 | 4 | 6 | 4 | 15 | dense |
| 4-2 | 160 | 5 | 800 | 100 | 4.00 | 5.00 | 1 | 0 | 5 | 3 | 3 | 12 | dense |
| 5-1 | 299 | 3 | 897 | 100 | 2.00 | 3.00 | 1 | 0 | 5 | 4 | 5 | 15 | dense |
| 5-2 | 34 | 5 | 170 | 100 | 4.00 | 5.00 | 1 | 0 | 3 | 4 | 6 | 14 | dense |
| 5-3 | 29 | 7 | 200 | 100 | 5.00 | 7.00 | 1 | 0 | 4 | 4 | 4 | 13 | dense |
| 5-4 | 457 | 9 | 4,113 | 100 | 6.00 | 9.00 | 2 | 0 | 5 | 4 | 6 | 17 | dense, good |
| 6-1 | 58 | 3 | 174 | 100 | 2.00 | 3.00 | 1 | 0 | 4 | 3 | 5 | 13 | dense |
| 6-2 | 58 | 6 | 348 | 100 | 4.00 | 6.00 | 1 | 0 | 3 | 5 | 5 | 14 | dense |
| 6-3 | 58 | 2 | 116 | 100 | 2.00 | 2.00 | 1 | 0 | 5 | 4 | 6 | 16 | dense, good |
| 6-4 | 105 | 2 | 210 | 100 | 1.00 | 2.00 | 1 | 0 | 4 | 4 | 3 | 12 | not dense |
| 7-1 | 36,000 | 1 | 36,000 | 100 | 0.00 | 1.00 | 1 | 0 | 2 | 3 | 2 | 8 | not dense |
| 8-1 | 120 | 3 | 361 | 100 | 3.00 | 3.00 | 2 | 0 | 4 | 5 | 6 | 17 | dense, good |
| 8-2 | 95 | 6 | 570 | 100 | 5.00 | 6.00 | 2 | 0 | 5 | 5 | 7 | 19 | dense, good |
| 8-3 | 187 | 2 | 374 | 100 | 2.00 | 2.00 | 1 | 0 | 3 | 6 | 5 | 15 | dense |
| 8-4 | 283 | 3 | 849 | 100 | 3.00 | 3.00 | 2 | 0 | 3 | 3 | 4 | 12 | dense |
| 8-5 | 223 | 3 | 669 | 100 | 3.00 | 3.00 | 2 | 0 | 4 | 6 | 6 | 18 | dense, good |
| 8-6 | 50 | 5 | 248 | 100 | 5.00 | 5.00 | 1 | 0 | 6 | 5 | 5 | 17 | dense, good |
| 9-1 | 57 | 3 | 172 | 100 | 3.00 | 3.00 | 1 | 0 | 5 | 4 | 3 | 13 | dense |
| 9-2 | 45 | 2 | 90 | 100 | 2.00 | 2.00 | 2 | 0 | 4 | 3 | 5 | 14 | dense |
| 9-3 | 51 | 5 | 253 | 100 | 4.00 | 5.00 | 1 | 0 | 6 | 5 | 6 | 18 | dense, good |
| 9-4 | 51 | 4 | 203 | 100 | 3.00 | 4.00 | 2 | 0 | 4 | 4 | 4 | 14 | dense |
| 10-1 | 770 | 4 | 3,078 | 100 | 3.00 | 4.00 | 1 | 0 | 7 | 5 | 5 | 18 | dense, good |
| 10-2 | 713 | 3 | 2,140 | 100 | 2.00 | 3.00 | 2 | 0 | 6 | 4 | 6 | 18 | dense, good |
A.05Toolkit 3, continued: Density and housing quality
Villimalé's 69 plots, the survey Chapter 02 used, in two columns. The parts of each score, and the floor area and coverage behind each FAR, are kept in the field sheet.
VILLIMALÉ · 69 PLOTS
| Plot | Plot Area, M² | Floors | Far | Score Of 32 | |
|---|---|---|---|---|---|
| B11/1 | 130 | 2 | 2.00 | 6 | dense |
| B11/2 | 130 | 1 | 1.00 | 4 | not dense |
| B13/1 | 130 | 2 | 1.74 | 10 | not dense |
| B13/2 | 130 | 1 | 1.00 | 4 | not dense |
| B13/3 | 130 | 2 | 2.00 | 13 | dense |
| B13/4 | 130 | 4 | 4.00 | 12 | dense |
| B13/5 | 130 | 1 | 0.84 | 3 | not dense |
| B16/1 | 929 | 2 | 0.78 | 4 | not dense |
| B13/10 | 130 | 2 | 1.80 | 8 | not dense |
| B14/5 | 130 | 5 | 4.55 | 9 | dense |
| B14/10 | 130 | 2 | 1.65 | 10 | not dense |
| B15/5 | 130 | 3 | 2.21 | 7 | dense |
| B15/10 | 130 | 2 | 1.77 | 3 | not dense |
| B11/4 | 130 | 5 | 4.13 | 5 | dense |
| B11/6 | 130 | 3 | 3.00 | 4 | dense |
| B11/8 | 130 | 4 | 3.14 | 6 | dense |
| B11/10 | 130 | 1 | 1.00 | 5 | not dense |
| B11/12 | 130 | 2 | 2.00 | 10 | dense |
| B12/2 | 130 | 1 | 0.85 | 4 | not dense |
| B12/4 | 130 | 1 | 1.00 | 3 | not dense |
| B12/6 | 130 | 2 | 1.92 | 4 | dense |
| B12/8 | 130 | 2 | 2.00 | 4 | dense |
| B12/10 | 130 | 2 | 2.00 | 5 | dense |
| B15/10 | 130 | 2 | 1.77 | 3 | not dense |
| B15/9 | 130 | 3 | 2.94 | 3 | dense |
| B15/08 | 130 | 4 | 4.08 | 4 | dense |
| B15/07 | 130 | 2 | 1.33 | 8 | not dense |
| B15/06 | 130 | 1 | 0.94 | 9 | not dense |
| B12/10 | 130 | 1 | 0.95 | 10 | not dense |
| B12/9 | 130 | 2 | 1.82 | 7 | not dense |
| B12/9 | 130 | 2 | 1.82 | 3 | not dense |
| B12/7 | 130 | 3 | 2.98 | 5 | dense |
| B12/5 | 130 | 1 | 0.71 | 4 | not dense |
| B12/3 | 130 | 4 | 3.23 | 14 | dense |
| B12/1 | 130 | 2 | 1.92 | 12 | dense |
| B11/11 | 130 | 2 | 1.94 | 16 | dense, good |
| B11/9 | 130 | 2 | 1.68 | 21 | not dense, good |
| B11/7 | 130 | 2 | 1.65 | 12 | not dense |
| B11/5 | 130 | 1 | 0.70 | 20 | not dense, good |
| B11/3 | 130 | 2 | 1.86 | 14 | not dense |
| B11/1 | 130 | 3 | 2.88 | 13 | dense |
| B5/2 | 130 | 1 | 0.88 | 17 | not dense, good |
| B5/4 | 130 | 1 | 0.43 | 14 | not dense |
| B5/6 | 130 | 0 | 0.00 | 8 | not dense |
| B5/8 | 130 | 2 | 1.93 | 14 | dense |
| B5/10 | 130 | 4 | 3.17 | 11 | dense |
| B5/12 | 130 | 2 | 2.09 | 10 | dense |
| B5/14 | 130 | 2 | 2.03 | 11 | dense |
| B5/16 | 130 | 4 | 3.74 | 8 | dense |
| B5/18 | 130 | 7 | 6.75 | 6 | dense |
| B5/20 | 130 | 11 | 9.87 | 4 | dense |
| B5/22 | 130 | 1 | 0.89 | 13 | not dense |
| B5/23 | 130 | 5 | 4.07 | 16 | dense, good |
| B9/04 | 130 | 3 | 2.88 | 10 | dense |
| B8/14 | 130 | 1 | 0.97 | 14 | not dense |
| B8/12 | 130 | 1 | 0.84 | 17 | not dense, good |
| B8/10 | 130 | 2 | 1.65 | 18 | not dense, good |
| B8/8 | 130 | 1 | 0.70 | 5 | not dense |
| B8/6 | 130 | 1 | 0.93 | 7 | not dense |
| B8/4 | 130 | 6 | 5.79 | 20 | dense, good |
| B3/24 | 130 | 4 | 3.59 | 8 | dense |
| B3/12 | 130 | 3 | 2.68 | 12 | dense |
| B21/2 | 100 | 2 | 2.00 | 5 | dense |
| B21/3 | 100 | 1 | 0.67 | 3 | not dense |
| B21/4 | 100 | 1 | 1.00 | 3 | not dense |
| B21/5 | 78 | 0 | 0.00 | 0 | not dense |
| B21/13 | 334 | 0 | 0.00 | 0 | not dense |
| B21/12 | 172 | 4 | 4.00 | 8 | dense |
| B21/11 | 112 | 2 | 2.00 | 4 | dense |
Dense: FAR 1.87 or more. Good: 16 or more of 32. FAR as recorded by the group. Plot IDs are block/plot, as on the group's map.
A.06Toolkit 3, continued: Density and housing quality
| Plot | Plot Area, M² | Floors | Floor Area, M² | Coverage, % | Far, As Used | Gfa ÷ Plot Area | Uses | Groundfloor | Human Scale | Diversity | Flexibility | Score Of 32 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HULHUMALÉ · 8 PLOTS | |||||||||||||
| H5 | 1,621 | 25 | 36,472 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H6 | 1,220 | 25 | 27,450 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H7 | 1,220 | 25 | 27,450 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H8 | 1,621 | 25 | 36,472 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H9 | 1,621 | 25 | 36,472 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H10 | 1,220 | 25 | 27,450 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H11 | 1,220 | 25 | 27,450 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| H12 | 1,621 | 25 | 36,472 | 90 | 23.00 | 22.50 | 0 | 2 | 2 | 2 | 3 | 9 | dense |
| Summary, As Chapter 02 Counts It | Plots | Dense, Poor | Dense, Good | Not Dense, Poor | Not Dense, Good | Best Score | 16 Or More |
|---|---|---|---|---|---|---|---|
| Malé | 36 | 21 | 10 | 5 | 0 | 19 | 10 |
| Villimalé | 69 | 31 | 3 | 30 | 5 | 21 | 8 |
| Hulhumalé | 8 | 8 | 0 | 0 | 0 | 9 | 0 |
Dense: FAR 1.87 or more (Sim, Soft City, p. 380). Good: a score of 16 or more of 32. FAR, as used: the groups' own FAR column, which Chapter 02 counts with. GFA ÷ plot area: the same worked out from the floor area; on Malé it would count two more plots as dense (page A.09).
DENSITY AGAINST HOUSING QUALITY, EVERY PLOT
A.07Toolkit 5: Walking activity and movement count
Everyone passing a line across the street in ten minutes, in shade or in the sun, in each of the six sessions; with the micro-mobility users and the people staying counted at the same line.
| Area | Rest Day 10:00 Shade | Rest Day 10:00 Sun | Rest Day 16:00 Shade | Rest Day 16:00 Sun | Rest Day 20:00 Shade | Rest Day 20:00 Sun | Weekday 10:00 Shade | Weekday 10:00 Sun | Weekday 16:00 Shade | Weekday 16:00 Sun | Weekday 20:00 Shade | Weekday 20:00 Sun | Micromobility | Staying | Walking, All |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MALÉ · 6 AREAS | |||||||||||||||
| 01 | 26 | 37 | 83 | 4 | 91 | 0 | 25 | 73 | 57 | 18 | 95 | 0 | 0 | 92 | 509 |
| 02 | 27 | 55 | 68 | 0 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 27 | 187 |
| 03 | 5 | 26 | 33 | 10 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 28 | 128 |
| 04 | 35 | 8 | 54 | 0 | 68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 165 |
| 05 | 0 | 0 | 16 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 27 |
| 06 | 0 | 0 | 17 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 27 |
| All | 93 | 126 | 271 | 35 | 250 | 0 | 25 | 73 | 57 | 18 | 95 | 0 | 72 | 160 | 1,043 |
| HULHUMALÉ · 6 AREAS | |||||||||||||||
| 01 | 0 | 45 | 155 | 0 | 119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 27 | 319 |
| 02 | 6 | 48 | 99 | 12 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 88 | 206 |
| 03 | 11 | 50 | 132 | 14 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 130 | 228 |
| 04 | 11 | 50 | 170 | 0 | 26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 208 | 257 |
| 05 | 0 | 45 | 0 | 55 | 75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | 175 |
| 06 | 6 | 48 | 81 | 10 | 74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 37 | 219 |
| All | 34 | 286 | 637 | 91 | 356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 502 | 1,404 |
Walking: commuting, strolling and people needing help, as tallied. Staying and micro-mobility are counted at the same line, all sessions together. Villimalé is not shown: its tally is from the survey made again after its area changed, which Chapter 02 did not use (page A.09).
PEDESTRIAN PRIORITY AND CROSSING CHECKLIST
Five checks in each survey area, each marked by the group on site: a filled dot is good, an open dot is poor.
| Malé 01 | Malé 02 | Malé 03 | Malé 04 | Malé 05 | Malé 06 | Villimalé 01 | Villimalé 02 | Villimalé 03 | Villimalé 04 | Villimalé 05 | Villimalé 06 | Villimalé 07 | Villimalé 08 | Hulhumalé 01 | Hulhumalé 02 | Hulhumalé 03 | Hulhumalé 04 | Hulhumalé 05 | Hulhumalé 06 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pavement continuous | good | poor | poor | good | good | good | good | poor | good | good | poor | good | – | good | good | good | good | poor | good | good |
| Junctions easy to read | good | good | poor | good | poor | poor | good | good | good | good | poor | good | – | good | good | good | good | poor | good | good |
| Pavement wide enough | good | poor | poor | good | poor | poor | good | poor | good | good | – | good | – | poor | good | good | good | good | good | good |
| Pavement free of obstacles | poor | poor | poor | good | poor | poor | good | good | good | good | poor | poor | – | good | good | good | good | poor | good | poor |
| Crossings direct | poor | poor | poor | poor | poor | poor | good | good | good | good | poor | good | – | good | good | good | good | poor | good | good |
| Good checks, of 5 | 3 | 1 | 0 | 4 | 1 | 1 | 5 | 3 | 5 | 5 | 0 | 4 | – | 4 | 5 | 5 | 5 | 1 | 5 | 4 |
– not recorded (Villimalé area 07 is blank on the sheet; area 05's pavement width is marked not applicable). Villimalé's sheet also holds the eight areas of its later survey, (1) to (8), which Chapter 02 did not use.
A.08Toolkit 6: Public space quality and microclimate
Thirteen qualities of each public space, after Gehl's twelve quality criteria with shade added, each scored from 1 (poor) to 5 (good): protection, comfort, and delight and microclimate.
| Space | P1 | P2 | P3 | C1 | C2 | C3 | C4 | C5 | C6 | D1 | D2 | D3 | D4 | Of 65 | Grade |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MALÉ · 10 SPACES | |||||||||||||||
| 1 | 1 | 3 | 2 | 1 | 1 | 1 | 2 | 3 | 1 | 2 | 2 | 2 | 3 | 24 | D |
| 2 | 1 | 3 | 2 | 2 | 1 | 1 | 1 | 3 | 1 | 2 | 3 | 3 | 1 | 24 | D |
| 3 | 1 | 2 | 3 | 2 | 2 | 1 | 2 | 2 | 1 | 2 | 2 | 2 | 3 | 25 | D |
| 4 | 1 | 2 | 3 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 2 | 1 | 3 | 21 | D |
| 5 | 1 | 1 | 4 | 1 | 2 | 1 | 1 | 3 | 1 | 4 | 4 | 2 | 4 | 29 | C |
| 6 | 4 | 2 | 2 | 4 | 2 | 1 | 3 | 3 | 1 | 4 | 2 | 4 | 3 | 35 | C |
| 7 | 4 | 4 | 1 | 2 | 2 | 1 | 4 | 3 | 1 | 4 | 3 | 3 | 3 | 35 | C |
| 8 | 2 | 3 | 2 | 2 | 1 | 1 | 1 | 2 | 1 | 2 | 3 | 3 | 1 | 24 | D |
| 9 | 1 | 2 | 2 | 2 | 1 | 1 | 1 | 2 | 1 | 3 | 2 | 2 | 1 | 21 | D |
| 10 | 1 | 2 | 2 | 1 | 4 | 4 | 3 | 3 | 2 | 3 | 2 | 2 | 4 | 33 | C |
| Mean | 1.7 | 2.4 | 2.3 | 1.8 | 1.7 | 1.3 | 1.9 | 2.6 | 1.1 | 2.8 | 2.5 | 2.4 | 2.6 | 27.1 | |
| VILLIMALÉ · 14 SPACES | |||||||||||||||
| 1 | 5 | 4 | 3 | 5 | 5 | 1 | 5 | 5 | 4 | 5 | 3 | 3 | 4 | 52 | B |
| 2 | 3 | 3 | 4 | 1 | 1 | 3 | 4 | 5 | 3 | 4 | 2 | 3 | 3 | 39 | B |
| 3 | 5 | 4 | 1 | 5 | 5 | 1 | 5 | 5 | 2 | 2 | – | – | – | 35 | C |
| 4 | 5 | 5 | 1 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 4 | 4 | 5 | 57 | A |
| 5 | 3 | 3 | 4 | 3 | 2 | 2 | 2 | 4 | 2 | 3 | 2 | 3 | 1 | 34 | C |
| 6 | 0 | 5 | 3 | 0 | 0 | 3 | 5 | 5 | 3 | 2 | 5 | 5 | 3 | 39 | B |
| 7 | 5 | 5 | 5 | 5 | 5 | 3 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 59 | A |
| 9 | 4 | 3 | 3 | 3 | 3 | 1 | 2 | 3 | 2 | 4 | 3 | 4 | 4 | 39 | B |
| 11 | 5 | 5 | 2 | 5 | 3 | 1 | 4 | 5 | 3 | 5 | 4 | 4 | 4 | 50 | B |
| 12 | 5 | 5 | 3 | 4 | 3 | 1 | 2 | 3 | 2 | 5 | 3 | 4 | 3 | 43 | B |
| 13 | 1 | 1 | 4 | 4 | 3 | 4 | 1 | 5 | 3 | 5 | 2 | 5 | 1 | 39 | B |
| 14 | 1 | 1 | 2 | 4 | 2 | 4 | 2 | 4 | 5 | 5 | 3 | 3 | 1 | 37 | C |
| 15 | 1 | 1 | 4 | 3 | 2 | 2 | 1 | 5 | 1 | 5 | 4 | 4 | 1 | 34 | C |
| 16 | 1 | 1 | 3 | 4 | 4 | 4 | 3 | 4 | 2 | 5 | 3 | 3 | 1 | 38 | C |
| Mean | 3.1 | 3.3 | 3.0 | 3.6 | 3.0 | 2.5 | 3.3 | 4.4 | 2.7 | 4.3 | 3.3 | 3.8 | 2.8 | 42.5 | |
| HULHUMALÉ · 6 SPACES | |||||||||||||||
| 1 | 2 | 4 | 2 | 5 | 1 | 1 | 2 | 5 | 1 | 1 | 1 | 1 | 1 | 27 | C |
| 2 | 2 | 4 | 1 | 3 | 1 | 1 | 2 | 5 | 1 | 2 | 2 | 2 | 1 | 27 | C |
| 3 | 2 | 4 | 3 | 5 | 1 | 1 | 2 | 5 | 4 | 2 | 2 | 2 | 1 | 34 | C |
| 4 | 2 | 4 | 3 | 2 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 2 | 1 | 24 | D |
| 5 | 2 | 4 | 2 | 4 | 1 | 2 | 1 | 2 | 1 | 3 | 1 | 2 | 1 | 26 | C |
| 6 | 2 | 4 | 3 | 5 | 1 | 1 | 2 | 5 | 5 | 2 | 2 | 2 | 1 | 35 | C |
| Mean | 2.0 | 4.0 | 2.3 | 4.0 | 1.0 | 1.2 | 1.7 | 4.0 | 2.2 | 2.2 | 1.5 | 1.8 | 1.0 | 28.8 | |
Protection: P1 traffic, P2 crime and security, P3 sensory discomfort. Comfort: C1 walking, C2 standing and lingering, C3 sitting, C4 seeing and sightlines, C5 talking and listening, C6 play and activity. Delight and microclimate: D1 human scale, D2 sun and rain protection, D3 shade through the day, D4 aesthetic quality. A blank score is –. Grades as given on the field sheets.
A.09Data notes: How the numbers were worked out, and what is still open
NOT IN THIS APPENDIX
Toolkit 4 Layering vs stacking is not shown (editor's decision); its results are on the Theme 4 pages.
Villimalé, Toolkit 5 tally The group surveyed again after its area changed. The workbook holds only the new movement tally, which Chapter 02 did not use, so it is left out. Its crossing checklist is shown for areas 01 to 08, as in Chapter 02.
Villimalé, Toolkit 3 From the copy of the field sheet that holds the first survey: its first 69 plots, the ones Chapter 02 counted. The 14 rows after them were added later and are not shown.
HOW THE NUMBERS ARE WORKED OUT
Doors per 100 m Doors ÷ segment length × 100; for an island, all doors ÷ all length.
Closed frontage As recorded per segment; for an island, weighted by segment length.
FAR Chapter 02 counts with each group's own FAR column. Worked out as floor area ÷ plot area, Malé's plots would give 33 dense rather than 31.
Housing quality Out of 32 (the book's scale); the field sheet heads its total /36.
Micro-mobility share Micro-mobility users ÷ (micro-mobility users + pedestrians).
SCER Hulhumalé group: vehicle conflicts ÷ (conflicts + people staying), 15% or more meaning severe. The Malé and Villimalé figures labelled SCER are the micro-mobility share.