Pantai Indah Kapuk

Jakarta Utara · New town

A new town on reclaimed land, whose pedestrian network is better mapped than that of most kampung in this set.

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 3.080 · φ 0.41

Orientation entropy: 3.080nat
H / H max: 0.859
φ orientation-order: 0.406
Circuity: 1.444~264
Average node degree: 2.37
Four-way: 6.3%
Dead-end: 26.6%
Intersection density: 68 /km²
Median segment length: 26 m
Network length: 15.7 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. 264 pairs sampled · 207 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: 237
Edges: 281
Intersections (degree ≥ 3): 136
Disc area: 2.01 km²
Intersection density: 68 /km²
Rose weighted length: 31.5 km
Per-edge circuity: 1.069

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 3.330 · φ 0.22

Orientation entropy: 3.330nat
H / H max: 0.929
φ orientation-order: 0.217
Circuity: 1.429~183
Average node degree: 2.34
Four-way: 5.3%
Dead-end: 27.9%
Intersection density: 101 /km²
Median segment length: 27 m
Network length: 24.0 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. 183 pairs sampled · 304 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: 359
Edges: 420
Intersections (degree ≥ 3): 203
Disc area: 2.01 km²
Intersection density: 101 /km²
Rose weighted length: 48.0 km
Per-edge circuity: 1.062

Both roses overlaid

Drive H 3.080 · φ 0.41Walk H 3.330 · φ 0.22

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: +0.250
H / H max: +0.070
φ orientation-order: −0.189
Circuity: −0.015
Average node degree: −0.03
Four-way: −1.0%
Dead-end: +1.3%
Intersection density: +33
Median segment length: +1
Network length: +8.3

What walking adds

Walk-only length: 8.3 km
Share of walking network: 34.5%

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 — Pantai Indah Kapuk

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°	3.45%	2.61%	0.1163	0.0952
01	5°–15°	13.57%	9.44%	0.2711	0.2228
02	15°–25°	2.39%	2.03%	0.0892	0.0792
03	25°–35°	3.72%	3.09%	0.1226	0.1076
04	35°–45°	1.94%	2.23%	0.0765	0.0849
05	45°–55°	0.53%	5.41%	0.0279	0.1579
06	55°–65°	0.28%	0.94%	0.0165	0.0439
07	65°–75°	0.45%	0.76%	0.0241	0.0372
08	75°–85°	0.92%	0.93%	0.0432	0.0435
09	85°–95°	3.32%	2.73%	0.1131	0.0983
10	95°–105°	3.29%	3.49%	0.1124	0.1170
11	105°–115°	2.18%	2.11%	0.0833	0.0815
12	115°–125°	7.03%	5.60%	0.1866	0.1613
13	125°–135°	1.37%	1.48%	0.0587	0.0624
14	135°–145°	0.26%	2.11%	0.0156	0.0814
15	145°–155°	0.37%	0.83%	0.0205	0.0398
16	155°–165°	0.41%	0.65%	0.0225	0.0328
17	165°–175°	4.52%	3.55%	0.1399	0.1184
18	175°–185°	3.45%	2.61%	0.1163	0.0952
19	185°–195°	13.57%	9.44%	0.2711	0.2228
20	195°–205°	2.39%	2.03%	0.0892	0.0792
21	205°–215°	3.72%	3.09%	0.1226	0.1076
22	215°–225°	1.94%	2.23%	0.0765	0.0849
23	225°–235°	0.53%	5.41%	0.0279	0.1579
24	235°–245°	0.28%	0.94%	0.0165	0.0439
25	245°–255°	0.45%	0.76%	0.0241	0.0372
26	255°–265°	0.92%	0.93%	0.0432	0.0435
27	265°–275°	3.32%	2.73%	0.1131	0.0983
28	275°–285°	3.29%	3.49%	0.1124	0.1170
29	285°–295°	2.18%	2.11%	0.0833	0.0815
30	295°–305°	7.03%	5.60%	0.1866	0.1613
31	305°–315°	1.37%	1.48%	0.0587	0.0624
32	315°–325°	0.26%	2.11%	0.0156	0.0814
33	325°–335°	0.37%	0.83%	0.0205	0.0398
34	335°–345°	0.41%	0.65%	0.0225	0.0328
35	345°–355°	4.52%	3.55%	0.1399	0.1184
Sum = H				3.080	3.330

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.