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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.

Lasoani · Palu · Kampung kota

r = 800 m · 36 bin · Footway coverage 20.7% · moderate

Lasoani

Palu · Kampung kota

Settlement in eastern Palu, at the foot of the hills. It is densely mapped because the city was remapped in an organised effort after the 2018 earthquake and liquefaction.

Drive

28.0 km · 101 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° · 3.0%Drive · 5°–15° · 2.1%Drive · 15°–25° · 0.7%Drive · 25°–35° · 0.9%Drive · 35°–45° · 1.8%Drive · 45°–55° · 3.4%Drive · 55°–65° · 9.5%Drive · 65°–75° · 3.7%Drive · 75°–85° · 2.4%Drive · 85°–95° · 3.8%Drive · 95°–105° · 2.0%Drive · 105°–115° · 1.2%Drive · 115°–125° · 1.4%Drive · 125°–135° · 2.2%Drive · 135°–145° · 1.6%Drive · 145°–155° · 5.1%Drive · 155°–165° · 2.5%Drive · 165°–175° · 2.8%Drive · 175°–185° · 3.0%Drive · 185°–195° · 2.1%Drive · 195°–205° · 0.7%Drive · 205°–215° · 0.9%Drive · 215°–225° · 1.8%Drive · 225°–235° · 3.4%Drive · 235°–245° · 9.5%Drive · 245°–255° · 3.7%Drive · 255°–265° · 2.4%Drive · 265°–275° · 3.8%Drive · 275°–285° · 2.0%Drive · 285°–295° · 1.2%Drive · 295°–305° · 1.4%Drive · 305°–315° · 2.2%Drive · 315°–325° · 1.6%Drive · 325°–335° · 5.1%Drive · 335°–345° · 2.5%Drive · 345°–355° · 2.8%
Drive H 3.383 · φ 0.17

Walk

36.1 km · 164 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° · 3.0%Walk · 5°–15° · 2.1%Walk · 15°–25° · 1.0%Walk · 25°–35° · 1.2%Walk · 35°–45° · 1.8%Walk · 45°–55° · 3.1%Walk · 55°–65° · 8.7%Walk · 65°–75° · 3.6%Walk · 75°–85° · 2.9%Walk · 85°–95° · 3.5%Walk · 95°–105° · 2.1%Walk · 105°–115° · 1.7%Walk · 115°–125° · 1.5%Walk · 125°–135° · 2.5%Walk · 135°–145° · 1.8%Walk · 145°–155° · 4.6%Walk · 155°–165° · 2.4%Walk · 165°–175° · 2.5%Walk · 175°–185° · 3.0%Walk · 185°–195° · 2.1%Walk · 195°–205° · 1.0%Walk · 205°–215° · 1.2%Walk · 215°–225° · 1.8%Walk · 225°–235° · 3.1%Walk · 235°–245° · 8.7%Walk · 245°–255° · 3.6%Walk · 255°–265° · 2.9%Walk · 265°–275° · 3.5%Walk · 275°–285° · 2.1%Walk · 285°–295° · 1.7%Walk · 295°–305° · 1.5%Walk · 305°–315° · 2.5%Walk · 315°–325° · 1.8%Walk · 325°–335° · 4.6%Walk · 335°–345° · 2.4%Walk · 345°–355° · 2.5%
Walk H 3.439 · φ 0.13

Delta

+8.2

km of network reachable only on foot · 22.6% of the walking network

+63
intersections per km²
−3.5%
Dead-end
+0.055
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 3.0%Drive · 5°–15° · 2.1%Drive · 15°–25° · 0.7%Drive · 25°–35° · 0.9%Drive · 35°–45° · 1.8%Drive · 45°–55° · 3.4%Drive · 55°–65° · 9.5%Drive · 65°–75° · 3.7%Drive · 75°–85° · 2.4%Drive · 85°–95° · 3.8%Drive · 95°–105° · 2.0%Drive · 105°–115° · 1.2%Drive · 115°–125° · 1.4%Drive · 125°–135° · 2.2%Drive · 135°–145° · 1.6%Drive · 145°–155° · 5.1%Drive · 155°–165° · 2.5%Drive · 165°–175° · 2.8%Drive · 175°–185° · 3.0%Drive · 185°–195° · 2.1%Drive · 195°–205° · 0.7%Drive · 205°–215° · 0.9%Drive · 215°–225° · 1.8%Drive · 225°–235° · 3.4%Drive · 235°–245° · 9.5%Drive · 245°–255° · 3.7%Drive · 255°–265° · 2.4%Drive · 265°–275° · 3.8%Drive · 275°–285° · 2.0%Drive · 285°–295° · 1.2%Drive · 295°–305° · 1.4%Drive · 305°–315° · 2.2%Drive · 315°–325° · 1.6%Drive · 325°–335° · 5.1%Drive · 335°–345° · 2.5%Drive · 345°–355° · 2.8%Walk · 355°–5° · 3.0%Walk · 5°–15° · 2.1%Walk · 15°–25° · 1.0%Walk · 25°–35° · 1.2%Walk · 35°–45° · 1.8%Walk · 45°–55° · 3.1%Walk · 55°–65° · 8.7%Walk · 65°–75° · 3.6%Walk · 75°–85° · 2.9%Walk · 85°–95° · 3.5%Walk · 95°–105° · 2.1%Walk · 105°–115° · 1.7%Walk · 115°–125° · 1.5%Walk · 125°–135° · 2.5%Walk · 135°–145° · 1.8%Walk · 145°–155° · 4.6%Walk · 155°–165° · 2.4%Walk · 165°–175° · 2.5%Walk · 175°–185° · 3.0%Walk · 185°–195° · 2.1%Walk · 195°–205° · 1.0%Walk · 205°–215° · 1.2%Walk · 215°–225° · 1.8%Walk · 225°–235° · 3.1%Walk · 235°–245° · 8.7%Walk · 245°–255° · 3.6%Walk · 255°–265° · 2.9%Walk · 265°–275° · 3.5%Walk · 275°–285° · 2.1%Walk · 285°–295° · 1.7%Walk · 295°–305° · 1.5%Walk · 305°–315° · 2.5%Walk · 315°–325° · 1.8%Walk · 325°–335° · 4.6%Walk · 335°–345° · 2.4%Walk · 345°–355° · 2.5%
Drive H 3.383 · φ 0.17Walk H 3.439 · φ 0.13
  • 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.

Lasoani: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.3833.439+0.055Drive: position 26 of 33; Walk: position 27 of 33, when the set is sorted by this metric, smallest first.
H / H max0.9440.960+0.015Drive: position 26 of 33; Walk: position 27 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.1740.127−0.046Drive: position 8 of 33; Walk: position 7 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.6461.550−0.096Drive: position 26 of 33; Walk: position 22 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.432.50+0.07Drive: position 27 of 33; Walk: position 24 of 33, when the set is sorted by this metric, smallest first.
Four-way7.3%7.0%−0.3%Drive: position 24 of 33; Walk: position 16 of 33, when the set is sorted by this metric, smallest first.
Dead-end26.5%23.0%−3.5%Drive: position 12 of 33; Walk: position 10 of 33, when the set is sorted by this metric, smallest first.
Intersection density101 /km²164 /km²+63 /km²Drive: position 10 of 33; Walk: position 10 of 33, when the set is sorted by this metric, smallest first.
Median segment length55 m46 m−9 mDrive: position 30 of 33; Walk: position 30 of 33, when the set is sorted by this metric, smallest first.
Network length28.0 km36.1 km+8.2 kmDrive: position 13 of 33; Walk: position 12 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: 468 pairs sampled · 19 pairs unreachable.Walk: 470 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.

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
8.2 km
Share of walking network
22.6%

Where these numbers come from

Drive

Nodes
328
Edges
398
Intersections (degree ≥ 3)
203
Disc area
2.01 km²
Intersection density
101 /km²
Rose weighted length
56.0 km
Per-edge circuity
1.042

Walk

Nodes
499
Edges
624
Intersections (degree ≥ 3)
330
Disc area
2.01 km²
Intersection density
164 /km²
Rose weighted length
72.3 km
Per-edge circuity
1.042

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 — Lasoani
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°2.99%3.05%0.10490.1063
015°–15°2.12%2.11%0.08170.0815
0215°–25°0.69%0.98%0.03450.0453
0325°–35°0.87%1.24%0.04110.0543
0435°–45°1.77%1.77%0.07140.0715
0545°–55°3.41%3.12%0.11520.1082
0655°–65°9.51%8.69%0.22380.2123
0765°–75°3.69%3.55%0.12170.1186
0875°–85°2.40%2.90%0.08950.1027
0985°–95°3.79%3.49%0.12400.1170
1095°–105°1.96%2.06%0.07690.0800
11105°–115°1.18%1.71%0.05240.0694
12115°–125°1.37%1.55%0.05880.0645
13125°–135°2.22%2.48%0.08460.0916
14135°–145°1.65%1.83%0.06760.0732
15145°–155°5.14%4.59%0.15260.1414
16155°–165°2.46%2.43%0.09110.0904
17165°–175°2.80%2.45%0.10010.0910
18175°–185°2.99%3.05%0.10490.1063
19185°–195°2.12%2.11%0.08170.0815
20195°–205°0.69%0.98%0.03450.0453
21205°–215°0.87%1.24%0.04110.0543
22215°–225°1.77%1.77%0.07140.0715
23225°–235°3.41%3.12%0.11520.1082
24235°–245°9.51%8.69%0.22380.2123
25245°–255°3.69%3.55%0.12170.1186
26255°–265°2.40%2.90%0.08950.1027
27265°–275°3.79%3.49%0.12400.1170
28275°–285°1.96%2.06%0.07690.0800
29285°–295°1.18%1.71%0.05240.0694
30295°–305°1.37%1.55%0.05880.0645
31305°–315°2.22%2.48%0.08460.0916
32315°–325°1.65%1.83%0.06760.0732
33325°–335°5.14%4.59%0.15260.1414
34335°–345°2.46%2.43%0.09110.0904
35345°–355°2.80%2.45%0.10010.0910
Sum = H3.3833.439

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.