Kebayoran Baru

Jakarta Selatan · New town

A planned satellite town of the 1950s: large blocks, serially named streets, and a transit corridor through the middle. A new town that is not gated — the only planned area in this set whose gang coverage is adequate.

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 2.759 · φ 0.61

Orientation entropy: 2.759nat
H / H max: 0.770
φ orientation-order: 0.610
Circuity: 1.370~469
Average node degree: 2.57
Four-way: 14.2%
Dead-end: 23.4%
Intersection density: 192 /km²
Median segment length: 36 m
Network length: 37.9 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. 469 pairs sampled · 22 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: 591
Edges: 759
Intersections (degree ≥ 3): 386
Disc area: 2.01 km²
Intersection density: 192 /km²
Rose weighted length: 75.9 km
Per-edge circuity: 1.021

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 2.792 · φ 0.59

Orientation entropy: 2.792nat
H / H max: 0.779
φ orientation-order: 0.590
Circuity: 1.364~449
Average node degree: 2.65
Four-way: 18.9%
Dead-end: 19.7%
Intersection density: 317 /km²
Median segment length: 20 m
Network length: 51.8 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. 449 pairs sampled · 26 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: 984
Edges: 1302
Intersections (degree ≥ 3): 638
Disc area: 2.01 km²
Intersection density: 317 /km²
Rose weighted length: 103.5 km
Per-edge circuity: 1.033

Both roses overlaid

Drive H 2.759 · φ 0.61Walk H 2.792 · φ 0.59

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: +0.034
H / H max: +0.009
φ orientation-order: −0.019
Circuity: −0.006
Average node degree: +0.08
Four-way: +4.7%
Dead-end: −3.6%
Intersection density: +125
Median segment length: −16
Network length: +13.8

What walking adds

Walk-only length: 14.8 km
Share of walking network: 28.6%

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 — Kebayoran Baru

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°	15.50%	15.57%	0.2890	0.2896
01	5°–15°	1.72%	2.04%	0.0698	0.0794
02	15°–25°	0.61%	0.63%	0.0311	0.0320
03	25°–35°	0.99%	0.96%	0.0459	0.0447
04	35°–45°	0.79%	0.77%	0.0382	0.0376
05	45°–55°	1.69%	1.74%	0.0690	0.0705
06	55°–65°	1.08%	1.38%	0.0489	0.0593
07	65°–75°	0.83%	0.80%	0.0397	0.0385
08	75°–85°	0.79%	0.86%	0.0383	0.0409
09	85°–95°	15.47%	15.10%	0.2887	0.2854
10	95°–105°	0.59%	0.65%	0.0302	0.0327
11	105°–115°	0.36%	0.44%	0.0203	0.0237
12	115°–125°	0.34%	0.40%	0.0192	0.0220
13	125°–135°	0.27%	0.38%	0.0158	0.0210
14	135°–145°	3.54%	2.79%	0.1184	0.0999
15	145°–155°	2.19%	2.25%	0.0836	0.0855
16	155°–165°	1.81%	1.55%	0.0727	0.0645
17	165°–175°	1.43%	1.69%	0.0606	0.0689
18	175°–185°	15.50%	15.57%	0.2890	0.2896
19	185°–195°	1.72%	2.04%	0.0698	0.0794
20	195°–205°	0.61%	0.63%	0.0311	0.0320
21	205°–215°	0.99%	0.96%	0.0459	0.0447
22	215°–225°	0.79%	0.77%	0.0382	0.0376
23	225°–235°	1.69%	1.74%	0.0690	0.0705
24	235°–245°	1.08%	1.38%	0.0489	0.0593
25	245°–255°	0.83%	0.80%	0.0397	0.0385
26	255°–265°	0.79%	0.86%	0.0383	0.0409
27	265°–275°	15.47%	15.10%	0.2887	0.2854
28	275°–285°	0.59%	0.65%	0.0302	0.0327
29	285°–295°	0.36%	0.44%	0.0203	0.0237
30	295°–305°	0.34%	0.40%	0.0192	0.0220
31	305°–315°	0.27%	0.38%	0.0158	0.0210
32	315°–325°	3.54%	2.79%	0.1184	0.0999
33	325°–335°	2.19%	2.25%	0.0836	0.0855
34	335°–345°	1.81%	1.55%	0.0727	0.0645
35	345°–355°	1.43%	1.69%	0.0606	0.0689
Sum = H				2.759	2.792

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.