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Indonesian street network morphology — the driving network and the walking network, measured separately for the same place.

Cihapit · Bandung · Colonial grid

r = 800 m · 36 bin · Footway coverage 25.9% · moderate

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Cihapit

Bandung · Colonial grid

A colonial-era planned quarter of Bandung whose streets are named after islands — Bali, Bangka, Belitung, Lombok. More footway is mapped here than residential street.

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.
NDrive · 355°–5° · 8.4%Drive · 5°–15° · 2.2%Drive · 15°–25° · 2.1%Drive · 25°–35° · 0.8%Drive · 35°–45° · 2.7%Drive · 45°–55° · 1.3%Drive · 55°–65° · 1.7%Drive · 65°–75° · 1.1%Drive · 75°–85° · 2.2%Drive · 85°–95° · 10.3%Drive · 95°–105° · 3.8%Drive · 105°–115° · 2.5%Drive · 115°–125° · 1.4%Drive · 125°–135° · 2.7%Drive · 135°–145° · 1.6%Drive · 145°–155° · 2.1%Drive · 155°–165° · 1.4%Drive · 165°–175° · 1.7%Drive · 175°–185° · 8.4%Drive · 185°–195° · 2.2%Drive · 195°–205° · 2.1%Drive · 205°–215° · 0.8%Drive · 215°–225° · 2.7%Drive · 225°–235° · 1.3%Drive · 235°–245° · 1.7%Drive · 245°–255° · 1.1%Drive · 255°–265° · 2.2%Drive · 265°–275° · 10.3%Drive · 275°–285° · 3.8%Drive · 285°–295° · 2.5%Drive · 295°–305° · 1.4%Drive · 305°–315° · 2.7%Drive · 315°–325° · 1.6%Drive · 325°–335° · 2.1%Drive · 335°–345° · 1.4%Drive · 345°–355° · 1.7%
Drive H 3.306 · φ 0.24
Orientation entropy
3.306nat
H / H max
0.923
φ orientation-order
0.236
Circuity
1.487~492
Average node degree
2.55
Four-way
8.1%
Dead-end
21.2%
Intersection density
263 /km²
Median segment length
32 m
Network length
45.5 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. 492 pairs sampled · 3 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
778
Edges
993
Intersections (degree ≥ 3)
528
Disc area
2.01 km²
Intersection density
263 /km²
Rose weighted length
91.1 km
Per-edge circuity
1.054

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.
NWalk · 355°–5° · 7.1%Walk · 5°–15° · 2.1%Walk · 15°–25° · 2.1%Walk · 25°–35° · 0.9%Walk · 35°–45° · 2.5%Walk · 45°–55° · 1.4%Walk · 55°–65° · 1.4%Walk · 65°–75° · 1.3%Walk · 75°–85° · 2.2%Walk · 85°–95° · 9.6%Walk · 95°–105° · 3.6%Walk · 105°–115° · 2.8%Walk · 115°–125° · 1.9%Walk · 125°–135° · 3.5%Walk · 135°–145° · 2.1%Walk · 145°–155° · 2.0%Walk · 155°–165° · 1.5%Walk · 165°–175° · 1.9%Walk · 175°–185° · 7.1%Walk · 185°–195° · 2.1%Walk · 195°–205° · 2.1%Walk · 205°–215° · 0.9%Walk · 215°–225° · 2.5%Walk · 225°–235° · 1.4%Walk · 235°–245° · 1.4%Walk · 245°–255° · 1.3%Walk · 255°–265° · 2.2%Walk · 265°–275° · 9.6%Walk · 275°–285° · 3.6%Walk · 285°–295° · 2.8%Walk · 295°–305° · 1.9%Walk · 305°–315° · 3.5%Walk · 315°–325° · 2.1%Walk · 325°–335° · 2.0%Walk · 335°–345° · 1.5%Walk · 345°–355° · 1.9%
Walk H 3.364 · φ 0.19
Orientation entropy
3.364nat
H / H max
0.939
φ orientation-order
0.190
Circuity
1.361~480
Average node degree
2.73
Four-way
20.5%
Dead-end
19.6%
Intersection density
465 /km²
Median segment length
20 m
Network length
65.8 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. 480 pairs sampled · 11 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
1302
Edges
1779
Intersections (degree ≥ 3)
934
Disc area
2.01 km²
Intersection density
465 /km²
Rose weighted length
131.7 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.

Both roses overlaid

NDrive · 355°–5° · 8.4%Drive · 5°–15° · 2.2%Drive · 15°–25° · 2.1%Drive · 25°–35° · 0.8%Drive · 35°–45° · 2.7%Drive · 45°–55° · 1.3%Drive · 55°–65° · 1.7%Drive · 65°–75° · 1.1%Drive · 75°–85° · 2.2%Drive · 85°–95° · 10.3%Drive · 95°–105° · 3.8%Drive · 105°–115° · 2.5%Drive · 115°–125° · 1.4%Drive · 125°–135° · 2.7%Drive · 135°–145° · 1.6%Drive · 145°–155° · 2.1%Drive · 155°–165° · 1.4%Drive · 165°–175° · 1.7%Drive · 175°–185° · 8.4%Drive · 185°–195° · 2.2%Drive · 195°–205° · 2.1%Drive · 205°–215° · 0.8%Drive · 215°–225° · 2.7%Drive · 225°–235° · 1.3%Drive · 235°–245° · 1.7%Drive · 245°–255° · 1.1%Drive · 255°–265° · 2.2%Drive · 265°–275° · 10.3%Drive · 275°–285° · 3.8%Drive · 285°–295° · 2.5%Drive · 295°–305° · 1.4%Drive · 305°–315° · 2.7%Drive · 315°–325° · 1.6%Drive · 325°–335° · 2.1%Drive · 335°–345° · 1.4%Drive · 345°–355° · 1.7%Walk · 355°–5° · 7.1%Walk · 5°–15° · 2.1%Walk · 15°–25° · 2.1%Walk · 25°–35° · 0.9%Walk · 35°–45° · 2.5%Walk · 45°–55° · 1.4%Walk · 55°–65° · 1.4%Walk · 65°–75° · 1.3%Walk · 75°–85° · 2.2%Walk · 85°–95° · 9.6%Walk · 95°–105° · 3.6%Walk · 105°–115° · 2.8%Walk · 115°–125° · 1.9%Walk · 125°–135° · 3.5%Walk · 135°–145° · 2.1%Walk · 145°–155° · 2.0%Walk · 155°–165° · 1.5%Walk · 165°–175° · 1.9%Walk · 175°–185° · 7.1%Walk · 185°–195° · 2.1%Walk · 195°–205° · 2.1%Walk · 205°–215° · 0.9%Walk · 215°–225° · 2.5%Walk · 225°–235° · 1.4%Walk · 235°–245° · 1.4%Walk · 245°–255° · 1.3%Walk · 255°–265° · 2.2%Walk · 265°–275° · 9.6%Walk · 275°–285° · 3.6%Walk · 285°–295° · 2.8%Walk · 295°–305° · 1.9%Walk · 305°–315° · 3.5%Walk · 315°–325° · 2.1%Walk · 325°–335° · 2.0%Walk · 335°–345° · 1.5%Walk · 345°–355° · 1.9%
Drive H 3.306 · φ 0.24Walk H 3.364 · φ 0.19
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
+0.058
H / H max
+0.016
φ orientation-order
−0.047
Circuity
−0.125
Average node degree
+0.18
Four-way
+12.4%
Dead-end
−1.6%
Intersection density
+202
Median segment length
−12
Network length
+20.3

What walking adds

Walk-only length
20.6 km
Share of walking network
31.2%
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 — Cihapit
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°8.43%7.14%0.20850.1884
015°–15°2.16%2.07%0.08290.0802
0215°–25°2.06%2.10%0.08010.0810
0325°–35°0.83%0.92%0.03980.0431
0435°–45°2.66%2.54%0.09660.0933
0545°–55°1.32%1.43%0.05700.0607
0655°–65°1.68%1.37%0.06860.0587
0765°–75°1.14%1.33%0.05110.0574
0875°–85°2.18%2.21%0.08330.0841
0985°–95°10.28%9.60%0.23390.2249
1095°–105°3.84%3.62%0.12510.1201
11105°–115°2.47%2.82%0.09130.1008
12115°–125°1.38%1.93%0.05900.0760
13125°–135°2.71%3.52%0.09790.1178
14135°–145°1.64%2.09%0.06730.0809
15145°–155°2.12%2.01%0.08180.0784
16155°–165°1.38%1.47%0.05920.0621
17165°–175°1.71%1.86%0.06970.0740
18175°–185°8.43%7.14%0.20850.1884
19185°–195°2.16%2.07%0.08290.0802
20195°–205°2.06%2.10%0.08010.0810
21205°–215°0.83%0.92%0.03980.0431
22215°–225°2.66%2.54%0.09660.0933
23225°–235°1.32%1.43%0.05700.0607
24235°–245°1.68%1.37%0.06860.0587
25245°–255°1.14%1.33%0.05110.0574
26255°–265°2.18%2.21%0.08330.0841
27265°–275°10.28%9.60%0.23390.2249
28275°–285°3.84%3.62%0.12510.1201
29285°–295°2.47%2.82%0.09130.1008
30295°–305°1.38%1.93%0.05900.0760
31305°–315°2.71%3.52%0.09790.1178
32315°–325°1.64%2.09%0.06730.0809
33325°–335°2.12%2.01%0.08180.0784
34335°–345°1.38%1.47%0.05920.0621
35345°–355°1.71%1.86%0.06970.0740
Sum = H3.3063.364

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.

Download this site’s data (JSON, ODbL)

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.