Kampung Braga

Bandung · Kampung kota

A kampung on the Cikapundung, directly behind Jalan Braga. Its gang are densely mapped — one of the few sites here whose drive/walk gap can actually be read.

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 3.035 · φ 0.44

Orientation entropy: 3.035nat
H / H max: 0.847
φ orientation-order: 0.437
Circuity: 1.394~458
Average node degree: 2.34
Four-way: 5.3%
Dead-end: 26.1%
Intersection density: 180 /km²
Median segment length: 33 m
Network length: 35.8 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. 458 pairs sampled · 37 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: 658
Edges: 770
Intersections (degree ≥ 3): 361
Disc area: 2.01 km²
Intersection density: 180 /km²
Rose weighted length: 71.6 km
Per-edge circuity: 1.051

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 3.009 · φ 0.45

Orientation entropy: 3.009nat
H / H max: 0.840
φ orientation-order: 0.454
Circuity: 1.340~467
Average node degree: 2.66
Four-way: 19.9%
Dead-end: 19.6%
Intersection density: 394 /km²
Median segment length: 20 m
Network length: 58.4 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. 467 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: 1214
Edges: 1614
Intersections (degree ≥ 3): 792
Disc area: 2.01 km²
Intersection density: 394 /km²
Rose weighted length: 116.8 km
Per-edge circuity: 1.044

Both roses overlaid

Drive H 3.035 · φ 0.44Walk H 3.009 · φ 0.45

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: −0.026
H / H max: −0.007
φ orientation-order: +0.017
Circuity: −0.054
Average node degree: +0.32
Four-way: +14.6%
Dead-end: −6.5%
Intersection density: +214
Median segment length: −13
Network length: +22.6

What walking adds

Walk-only length: 22.7 km
Share of walking network: 38.8%

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 — Kampung Braga

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°	8.35%	8.94%	0.2073	0.2159
01	5°–15°	8.82%	8.54%	0.2142	0.2101
02	15°–25°	1.67%	1.43%	0.0684	0.0607
03	25°–35°	1.00%	0.79%	0.0462	0.0383
04	35°–45°	0.34%	0.41%	0.0195	0.0224
05	45°–55°	0.50%	0.49%	0.0263	0.0261
06	55°–65°	0.83%	0.81%	0.0396	0.0392
07	65°–75°	1.00%	0.93%	0.0460	0.0433
08	75°–85°	1.41%	1.79%	0.0600	0.0720
09	85°–95°	4.36%	4.27%	0.1365	0.1347
10	95°–105°	12.21%	12.51%	0.2567	0.2600
11	105°–115°	2.07%	1.79%	0.0802	0.0721
12	115°–125°	2.16%	1.93%	0.0828	0.0761
13	125°–135°	0.42%	0.39%	0.0228	0.0216
14	135°–145°	0.53%	0.48%	0.0276	0.0257
15	145°–155°	1.13%	0.84%	0.0507	0.0400
16	155°–165°	1.83%	1.98%	0.0732	0.0776
17	165°–175°	1.39%	1.69%	0.0595	0.0689
18	175°–185°	8.35%	8.94%	0.2073	0.2159
19	185°–195°	8.82%	8.54%	0.2142	0.2101
20	195°–205°	1.67%	1.43%	0.0684	0.0607
21	205°–215°	1.00%	0.79%	0.0462	0.0383
22	215°–225°	0.34%	0.41%	0.0195	0.0224
23	225°–235°	0.50%	0.49%	0.0263	0.0261
24	235°–245°	0.83%	0.81%	0.0396	0.0392
25	245°–255°	1.00%	0.93%	0.0460	0.0433
26	255°–265°	1.41%	1.79%	0.0600	0.0720
27	265°–275°	4.36%	4.27%	0.1365	0.1347
28	275°–285°	12.21%	12.51%	0.2567	0.2600
29	285°–295°	2.07%	1.79%	0.0802	0.0721
30	295°–305°	2.16%	1.93%	0.0828	0.0761
31	305°–315°	0.42%	0.39%	0.0228	0.0216
32	315°–325°	0.53%	0.48%	0.0276	0.0257
33	325°–335°	1.13%	0.84%	0.0507	0.0400
34	335°–345°	1.83%	1.98%	0.0732	0.0776
35	345°–355°	1.39%	1.69%	0.0595	0.0689
Sum = H				3.035	3.009

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.