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Bentuk Kota
Tag mapping DefaultBahasa Indonesia

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

Gadang · Banjarmasin · Kampung kota

r = 800 m · 36 bin · Footway coverage 25.3% · moderate

Gadang

Banjarmasin · Kampung kota

A kampung in a canal city. Its pedestrian network is as long as its residential streets — walkways and gang that follow the water rather than accompany a road.

Drive

39.1 km · 207 intersections/km²

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° · 3.4%Drive · 5°–15° · 3.6%Drive · 15°–25° · 3.8%Drive · 25°–35° · 1.6%Drive · 35°–45° · 1.2%Drive · 45°–55° · 1.5%Drive · 55°–65° · 1.6%Drive · 65°–75° · 2.1%Drive · 75°–85° · 3.5%Drive · 85°–95° · 3.7%Drive · 95°–105° · 5.5%Drive · 105°–115° · 6.0%Drive · 115°–125° · 2.7%Drive · 125°–135° · 1.3%Drive · 135°–145° · 0.6%Drive · 145°–155° · 1.0%Drive · 155°–165° · 2.2%Drive · 165°–175° · 4.6%Drive · 175°–185° · 3.4%Drive · 185°–195° · 3.6%Drive · 195°–205° · 3.8%Drive · 205°–215° · 1.6%Drive · 215°–225° · 1.2%Drive · 225°–235° · 1.5%Drive · 235°–245° · 1.6%Drive · 245°–255° · 2.1%Drive · 255°–265° · 3.5%Drive · 265°–275° · 3.7%Drive · 275°–285° · 5.5%Drive · 285°–295° · 6.0%Drive · 295°–305° · 2.7%Drive · 305°–315° · 1.3%Drive · 315°–325° · 0.6%Drive · 325°–335° · 1.0%Drive · 335°–345° · 2.2%Drive · 345°–355° · 4.6%
Drive H 3.432 · φ 0.13

Walk

55.5 km · 314 intersections/km²

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° · 3.9%Walk · 5°–15° · 3.9%Walk · 15°–25° · 3.4%Walk · 25°–35° · 2.1%Walk · 35°–45° · 1.7%Walk · 45°–55° · 1.5%Walk · 55°–65° · 1.6%Walk · 65°–75° · 2.4%Walk · 75°–85° · 3.1%Walk · 85°–95° · 3.6%Walk · 95°–105° · 4.5%Walk · 105°–115° · 4.9%Walk · 115°–125° · 2.7%Walk · 125°–135° · 1.7%Walk · 135°–145° · 0.8%Walk · 145°–155° · 1.1%Walk · 155°–165° · 2.2%Walk · 165°–175° · 4.9%Walk · 175°–185° · 3.9%Walk · 185°–195° · 3.9%Walk · 195°–205° · 3.4%Walk · 205°–215° · 2.1%Walk · 215°–225° · 1.7%Walk · 225°–235° · 1.5%Walk · 235°–245° · 1.6%Walk · 245°–255° · 2.4%Walk · 255°–265° · 3.1%Walk · 265°–275° · 3.6%Walk · 275°–285° · 4.5%Walk · 285°–295° · 4.9%Walk · 295°–305° · 2.7%Walk · 305°–315° · 1.7%Walk · 315°–325° · 0.8%Walk · 325°–335° · 1.1%Walk · 335°–345° · 2.2%Walk · 345°–355° · 4.9%
Walk H 3.477 · φ 0.09

Delta

+16.4

km of network reachable only on foot · 29.5% of the walking network

+106
intersections per km²
−1.9%
Dead-end
+0.046
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 3.4%Drive · 5°–15° · 3.6%Drive · 15°–25° · 3.8%Drive · 25°–35° · 1.6%Drive · 35°–45° · 1.2%Drive · 45°–55° · 1.5%Drive · 55°–65° · 1.6%Drive · 65°–75° · 2.1%Drive · 75°–85° · 3.5%Drive · 85°–95° · 3.7%Drive · 95°–105° · 5.5%Drive · 105°–115° · 6.0%Drive · 115°–125° · 2.7%Drive · 125°–135° · 1.3%Drive · 135°–145° · 0.6%Drive · 145°–155° · 1.0%Drive · 155°–165° · 2.2%Drive · 165°–175° · 4.6%Drive · 175°–185° · 3.4%Drive · 185°–195° · 3.6%Drive · 195°–205° · 3.8%Drive · 205°–215° · 1.6%Drive · 215°–225° · 1.2%Drive · 225°–235° · 1.5%Drive · 235°–245° · 1.6%Drive · 245°–255° · 2.1%Drive · 255°–265° · 3.5%Drive · 265°–275° · 3.7%Drive · 275°–285° · 5.5%Drive · 285°–295° · 6.0%Drive · 295°–305° · 2.7%Drive · 305°–315° · 1.3%Drive · 315°–325° · 0.6%Drive · 325°–335° · 1.0%Drive · 335°–345° · 2.2%Drive · 345°–355° · 4.6%Walk · 355°–5° · 3.9%Walk · 5°–15° · 3.9%Walk · 15°–25° · 3.4%Walk · 25°–35° · 2.1%Walk · 35°–45° · 1.7%Walk · 45°–55° · 1.5%Walk · 55°–65° · 1.6%Walk · 65°–75° · 2.4%Walk · 75°–85° · 3.1%Walk · 85°–95° · 3.6%Walk · 95°–105° · 4.5%Walk · 105°–115° · 4.9%Walk · 115°–125° · 2.7%Walk · 125°–135° · 1.7%Walk · 135°–145° · 0.8%Walk · 145°–155° · 1.1%Walk · 155°–165° · 2.2%Walk · 165°–175° · 4.9%Walk · 175°–185° · 3.9%Walk · 185°–195° · 3.9%Walk · 195°–205° · 3.4%Walk · 205°–215° · 2.1%Walk · 215°–225° · 1.7%Walk · 225°–235° · 1.5%Walk · 235°–245° · 1.6%Walk · 245°–255° · 2.4%Walk · 255°–265° · 3.1%Walk · 265°–275° · 3.6%Walk · 275°–285° · 4.5%Walk · 285°–295° · 4.9%Walk · 295°–305° · 2.7%Walk · 305°–315° · 1.7%Walk · 315°–325° · 0.8%Walk · 325°–335° · 1.1%Walk · 335°–345° · 2.2%Walk · 345°–355° · 4.9%
Drive H 3.432 · φ 0.13Walk H 3.477 · φ 0.09
  • Drive
  • Walk
  • Both

Two readings, one table

Hairlines: every site in the set, both modes. Marks: this site. A position, not a value — neither end is better.

Gadang: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.4323.477+0.046Drive: position 27 of 33; Walk: position 30 of 33, when the set is sorted by this metric, smallest first.
H / H max0.9580.970+0.013Drive: position 27 of 33; Walk: position 30 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.1330.094−0.039Drive: position 7 of 33; Walk: position 4 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.4411.454+0.013Drive: position 10 of 33; Walk: position 19 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.342.39+0.04Drive: position 20 of 33; Walk: position 15 of 33, when the set is sorted by this metric, smallest first.
Four-way3.7%4.8%+1.1%Drive: position 7 of 33; Walk: position 6 of 33, when the set is sorted by this metric, smallest first.
Dead-end25.3%23.3%−1.9%Drive: position 9 of 33; Walk: position 11 of 33, when the set is sorted by this metric, smallest first.
Intersection density207 /km²314 /km²+106 /km²Drive: position 28 of 33; Walk: position 25 of 33, when the set is sorted by this metric, smallest first.
Median segment length28 m27 m−1 mDrive: position 3 of 33; Walk: position 9 of 33, when the set is sorted by this metric, smallest first.
Network length39.1 km55.5 km+16.4 kmDrive: position 23 of 33; Walk: position 27 of 33, when the set is sorted by this metric, smallest first.

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. Drive: 460 pairs sampled · 29 pairs unreachable.Walk: 463 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.

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

Fig. 3 · r = 800 m

What walking adds

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.
Walk-only length
16.4 km
Share of walking network
29.5%

Where these numbers come from

Drive

Nodes
756
Edges
886
Intersections (degree ≥ 3)
417
Disc area
2.01 km²
Intersection density
207 /km²
Rose weighted length
78.2 km
Per-edge circuity
1.049

Walk

Nodes
1114
Edges
1329
Intersections (degree ≥ 3)
631
Disc area
2.01 km²
Intersection density
314 /km²
Rose weighted length
111.0 km
Per-edge circuity
1.059

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.

Rose as a table — 36 bins — Gadang
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°3.35%3.91%0.11380.1268
015°–15°3.59%3.86%0.11950.1257
0215°–25°3.81%3.42%0.12460.1155
0325°–35°1.58%2.12%0.06560.0817
0435°–45°1.23%1.67%0.05400.0684
0545°–55°1.50%1.49%0.06290.0627
0655°–65°1.65%1.57%0.06760.0653
0765°–75°2.14%2.41%0.08230.0897
0875°–85°3.52%3.13%0.11790.1083
0985°–95°3.69%3.57%0.12170.1191
1095°–105°5.49%4.47%0.15930.1390
11105°–115°5.97%4.93%0.16830.1484
12115°–125°2.73%2.65%0.09840.0962
13125°–135°1.34%1.68%0.05770.0685
14135°–145°0.63%0.84%0.03190.0401
15145°–155°0.96%1.10%0.04470.0498
16155°–165°2.17%2.25%0.08320.0853
17165°–175°4.64%4.92%0.14250.1482
18175°–185°3.35%3.91%0.11380.1268
19185°–195°3.59%3.86%0.11950.1257
20195°–205°3.81%3.42%0.12460.1155
21205°–215°1.58%2.12%0.06560.0817
22215°–225°1.23%1.67%0.05400.0684
23225°–235°1.50%1.49%0.06290.0627
24235°–245°1.65%1.57%0.06760.0653
25245°–255°2.14%2.41%0.08230.0897
26255°–265°3.52%3.13%0.11790.1083
27265°–275°3.69%3.57%0.12170.1191
28275°–285°5.49%4.47%0.15930.1390
29285°–295°5.97%4.93%0.16830.1484
30295°–305°2.73%2.65%0.09840.0962
31305°–315°1.34%1.68%0.05770.0685
32315°–325°0.63%0.84%0.03190.0401
33325°–335°0.96%1.10%0.04470.0498
34335°–345°2.17%2.25%0.08320.0853
35345°–355°4.64%4.92%0.14250.1482
Sum = H3.4323.477

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.