Cipayung

Depok · Perumahan cluster

Gated clusters and the kampung they grew among, in one disc: 76 mapped gates inside this radius, beside gang named after birds and plot roads named in English. The only perumahan site in this set whose gang are mapped densely enough to compare.

Drive

Fig. 1 · r = 800 m — The drivable network inside the sampling disc. Uniform ink, no road-class hierarchy, no basemap: the shape is the subject.

Drive H 3.285 · φ 0.25

Orientation entropy: 3.285nat
H / H max: 0.917
φ orientation-order: 0.253
Circuity: 1.560~176
Average node degree: 2.15
Four-way: 3.1%
Dead-end: 36.2%
Intersection density: 162 /km²
Median segment length: 39 m
Network length: 33.2 km

H is in nats — the natural-log unit of information. That is why its maximum is ln 36 ≈ 3.584 rather than log₂ 36.

Circuity is an estimate: network distance over straight-line distance, averaged across a seeded sample of node pairs rather than across all of them. 176 pairs sampled · 315 pairs unreachable Pairs with no route between them at all are excluded from the mean. A large count means this network is fragmented — a signal about the data, not about the place.

Where these come from

Nodes: 676
Edges: 727
Intersections (degree ≥ 3): 326
Disc area: 2.01 km²
Intersection density: 162 /km²
Rose weighted length: 66.3 km
Per-edge circuity: 1.053

The intermediate values the column above is built from. Intersection density is the intersection count over the disc area; the weighted length is the denominator that turns a rose bar into a share. Two different circuity measures: the per-edge one compares each segment against its own chord, the sampled one compares distances between junctions. The first measures how much streets bend, the second how far out of your way the network takes you.

Walk

Fig. 2 · r = 800 m — The walkable network at the same centre, the same disc, the same extract. Every difference from the drawing beside it is the tag mapping, not a different place.

Walk H 3.268 · φ 0.27

Orientation entropy: 3.268nat
H / H max: 0.912
φ orientation-order: 0.266
Circuity: 1.504~433
Average node degree: 2.36
Four-way: 4.8%
Dead-end: 28.1%
Intersection density: 434 /km²
Median segment length: 28 m
Network length: 58.5 km

H is in nats — the natural-log unit of information. That is why its maximum is ln 36 ≈ 3.584 rather than log₂ 36.

Circuity is an estimate: network distance over straight-line distance, averaged across a seeded sample of node pairs rather than across all of them. 433 pairs sampled · 59 pairs unreachable Pairs with no route between them at all are excluded from the mean. A large count means this network is fragmented — a signal about the data, not about the place.

Where these come from

Nodes: 1466
Edges: 1732
Intersections (degree ≥ 3): 873
Disc area: 2.01 km²
Intersection density: 434 /km²
Rose weighted length: 117.0 km
Per-edge circuity: 1.054

Both roses overlaid

Drive H 3.285 · φ 0.25Walk H 3.268 · φ 0.27

Each street segment’s bearing goes into one of 36 bins of 10°, weighted by length: a 500 m road counts ten times a 50 m gang. Bar length is the share of network length running that way, not a count of segments. The rose is always 180°-symmetric, because one segment traversed both ways differs by exactly 180°. Boeing 2019 §3

Drive
Walk
Both

DeltaWalk − Drive

Orientation entropy: −0.017
H / H max: −0.005
φ orientation-order: +0.013
Circuity: −0.055
Average node degree: +0.21
Four-way: +1.7%
Dead-end: −8.1%
Intersection density: +272
Median segment length: −11
Network length: +25.3

What walking adds

Walk-only length: 25.3 km
Share of walking network: 43.3%

Fig. 3 · r = 800 m — Ink: the edges that exist only in the walking network. Hairline: the network both modes share. Membership is decided by the tag mapping — an edge counts as walk-only when the OSM way it came from is not admitted to the driving network.

Rose as a table — 36 bins — Cipayung

Share of network length per 10° bearing bin, for drive and walk.
Bin	Bearing range	P — Drive	P — Walk	−P·ln P	−P·ln P
00	355°–5°	6.72%	6.51%	0.1814	0.1778
01	5°–15°	5.65%	6.69%	0.1623	0.1809
02	15°–25°	3.05%	3.59%	0.1065	0.1195
03	25°–35°	1.18%	1.57%	0.0522	0.0653
04	35°–45°	0.81%	0.84%	0.0389	0.0402
05	45°–55°	1.17%	0.93%	0.0522	0.0436
06	55°–65°	0.95%	0.74%	0.0443	0.0361
07	65°–75°	1.58%	1.12%	0.0656	0.0503
08	75°–85°	2.71%	2.40%	0.0979	0.0896
09	85°–95°	7.37%	6.56%	0.1921	0.1788
10	95°–105°	6.94%	6.98%	0.1851	0.1858
11	105°–115°	3.72%	4.30%	0.1224	0.1352
12	115°–125°	1.32%	1.67%	0.0571	0.0685
13	125°–135°	0.80%	0.87%	0.0388	0.0412
14	135°–145°	0.88%	0.97%	0.0418	0.0451
15	145°–155°	0.92%	0.81%	0.0430	0.0389
16	155°–165°	1.40%	1.06%	0.0597	0.0482
17	165°–175°	2.84%	2.39%	0.1011	0.0892
18	175°–185°	6.72%	6.51%	0.1814	0.1778
19	185°–195°	5.65%	6.69%	0.1623	0.1809
20	195°–205°	3.05%	3.59%	0.1065	0.1195
21	205°–215°	1.18%	1.57%	0.0522	0.0653
22	215°–225°	0.81%	0.84%	0.0389	0.0402
23	225°–235°	1.17%	0.93%	0.0522	0.0436
24	235°–245°	0.95%	0.74%	0.0443	0.0361
25	245°–255°	1.58%	1.12%	0.0656	0.0503
26	255°–265°	2.71%	2.40%	0.0979	0.0896
27	265°–275°	7.37%	6.56%	0.1921	0.1788
28	275°–285°	6.94%	6.98%	0.1851	0.1858
29	285°–295°	3.72%	4.30%	0.1224	0.1352
30	295°–305°	1.32%	1.67%	0.0571	0.0685
31	305°–315°	0.80%	0.87%	0.0388	0.0412
32	315°–325°	0.88%	0.97%	0.0418	0.0451
33	325°–335°	0.92%	0.81%	0.0430	0.0389
34	335°–345°	1.40%	1.06%	0.0597	0.0482
35	345°–355°	2.84%	2.39%	0.1011	0.0892
Sum = H				3.285	3.268

The last column is each bin’s term in H = −Σ P(i)·ln P(i). Add the thirty-six of them and you get the H printed under the rose. An empty bin contributes zero.

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Data jalan © OpenStreetMap contributors, ODbL 1.0. Basis data turunan ini ditawarkan dengan lisensi yang sama. · Boeing, G. 2019. Urban Spatial Order: Street Network Orientation, Configuration, and Entropy. Applied Network Science 4(1):67.