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

Kotagede · Yogyakarta · Kampung kota

r = 800 m · 36 bin · Footway coverage 26.2% · moderate

Kotagede

Yogyakarta · Kampung kota

The sixteenth-century Mataram core, now dense settlement; its lanes are older than the roads around them.

Drive

34.9 km · 175 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° · 5.1%Drive · 5°–15° · 10.7%Drive · 15°–25° · 5.1%Drive · 25°–35° · 1.4%Drive · 35°–45° · 0.6%Drive · 45°–55° · 0.3%Drive · 55°–65° · 0.3%Drive · 65°–75° · 0.4%Drive · 75°–85° · 0.9%Drive · 85°–95° · 4.1%Drive · 95°–105° · 11.0%Drive · 105°–115° · 5.2%Drive · 115°–125° · 2.0%Drive · 125°–135° · 0.5%Drive · 135°–145° · 0.4%Drive · 145°–155° · 0.6%Drive · 155°–165° · 0.5%Drive · 165°–175° · 0.9%Drive · 175°–185° · 5.1%Drive · 185°–195° · 10.7%Drive · 195°–205° · 5.1%Drive · 205°–215° · 1.4%Drive · 215°–225° · 0.6%Drive · 225°–235° · 0.3%Drive · 235°–245° · 0.3%Drive · 245°–255° · 0.4%Drive · 255°–265° · 0.9%Drive · 265°–275° · 4.1%Drive · 275°–285° · 11.0%Drive · 285°–295° · 5.2%Drive · 295°–305° · 2.0%Drive · 305°–315° · 0.5%Drive · 315°–325° · 0.4%Drive · 325°–335° · 0.6%Drive · 335°–345° · 0.5%Drive · 345°–355° · 0.9%
Drive H 2.971 · φ 0.48

Walk

58.6 km · 398 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° · 4.6%Walk · 5°–15° · 11.4%Walk · 15°–25° · 5.0%Walk · 25°–35° · 1.4%Walk · 35°–45° · 0.5%Walk · 45°–55° · 0.4%Walk · 55°–65° · 0.3%Walk · 65°–75° · 0.4%Walk · 75°–85° · 0.7%Walk · 85°–95° · 4.1%Walk · 95°–105° · 11.9%Walk · 105°–115° · 4.9%Walk · 115°–125° · 1.6%Walk · 125°–135° · 0.4%Walk · 135°–145° · 0.5%Walk · 145°–155° · 0.5%Walk · 155°–165° · 0.5%Walk · 165°–175° · 0.9%Walk · 175°–185° · 4.6%Walk · 185°–195° · 11.4%Walk · 195°–205° · 5.0%Walk · 205°–215° · 1.4%Walk · 215°–225° · 0.5%Walk · 225°–235° · 0.4%Walk · 235°–245° · 0.3%Walk · 245°–255° · 0.4%Walk · 255°–265° · 0.7%Walk · 265°–275° · 4.1%Walk · 275°–285° · 11.9%Walk · 285°–295° · 4.9%Walk · 295°–305° · 1.6%Walk · 305°–315° · 0.4%Walk · 315°–325° · 0.5%Walk · 325°–335° · 0.5%Walk · 335°–345° · 0.5%Walk · 345°–355° · 0.9%
Walk H 2.929 · φ 0.51

Delta

+23.7

km of network reachable only on foot · 40.4% of the walking network

+224
intersections per km²
−8.8%
Dead-end
−0.042
ΔH · orientation entropy

Both roses overlaid

NWalk · 355°–5° · 4.6%Walk · 5°–15° · 11.4%Walk · 15°–25° · 5.0%Walk · 25°–35° · 1.4%Walk · 35°–45° · 0.5%Walk · 45°–55° · 0.4%Walk · 55°–65° · 0.3%Walk · 65°–75° · 0.4%Walk · 75°–85° · 0.7%Walk · 85°–95° · 4.1%Walk · 95°–105° · 11.9%Walk · 105°–115° · 4.9%Walk · 115°–125° · 1.6%Walk · 125°–135° · 0.4%Walk · 135°–145° · 0.5%Walk · 145°–155° · 0.5%Walk · 155°–165° · 0.5%Walk · 165°–175° · 0.9%Walk · 175°–185° · 4.6%Walk · 185°–195° · 11.4%Walk · 195°–205° · 5.0%Walk · 205°–215° · 1.4%Walk · 215°–225° · 0.5%Walk · 225°–235° · 0.4%Walk · 235°–245° · 0.3%Walk · 245°–255° · 0.4%Walk · 255°–265° · 0.7%Walk · 265°–275° · 4.1%Walk · 275°–285° · 11.9%Walk · 285°–295° · 4.9%Walk · 295°–305° · 1.6%Walk · 305°–315° · 0.4%Walk · 315°–325° · 0.5%Walk · 325°–335° · 0.5%Walk · 335°–345° · 0.5%Walk · 345°–355° · 0.9%Drive · 355°–5° · 5.1%Drive · 5°–15° · 10.7%Drive · 15°–25° · 5.1%Drive · 25°–35° · 1.4%Drive · 35°–45° · 0.6%Drive · 45°–55° · 0.3%Drive · 55°–65° · 0.3%Drive · 65°–75° · 0.4%Drive · 75°–85° · 0.9%Drive · 85°–95° · 4.1%Drive · 95°–105° · 11.0%Drive · 105°–115° · 5.2%Drive · 115°–125° · 2.0%Drive · 125°–135° · 0.5%Drive · 135°–145° · 0.4%Drive · 145°–155° · 0.6%Drive · 155°–165° · 0.5%Drive · 165°–175° · 0.9%Drive · 175°–185° · 5.1%Drive · 185°–195° · 10.7%Drive · 195°–205° · 5.1%Drive · 205°–215° · 1.4%Drive · 215°–225° · 0.6%Drive · 225°–235° · 0.3%Drive · 235°–245° · 0.3%Drive · 245°–255° · 0.4%Drive · 255°–265° · 0.9%Drive · 265°–275° · 4.1%Drive · 275°–285° · 11.0%Drive · 285°–295° · 5.2%Drive · 295°–305° · 2.0%Drive · 305°–315° · 0.5%Drive · 315°–325° · 0.4%Drive · 325°–335° · 0.6%Drive · 335°–345° · 0.5%Drive · 345°–355° · 0.9%
Drive H 2.971 · φ 0.48Walk H 2.929 · φ 0.51
  • 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.

Kotagede: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat2.9712.929−0.042Drive: position 9 of 33; Walk: position 7 of 33, when the set is sorted by this metric, smallest first.
H / H max0.8290.817−0.012Drive: position 9 of 33; Walk: position 7 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.4800.507+0.027Drive: position 25 of 33; Walk: position 27 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.6981.390−0.308Drive: position 29 of 33; Walk: position 8 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.212.42+0.21Drive: position 7 of 33; Walk: position 19 of 33, when the set is sorted by this metric, smallest first.
Four-way3.9%5.7%+1.9%Drive: position 9 of 33; Walk: position 10 of 33, when the set is sorted by this metric, smallest first.
Dead-end34.9%26.1%−8.8%Drive: position 25 of 33; Walk: position 18 of 33, when the set is sorted by this metric, smallest first.
Intersection density175 /km²398 /km²+224 /km²Drive: position 20 of 33; Walk: position 31 of 33, when the set is sorted by this metric, smallest first.
Median segment length36 m31 m−5 mDrive: position 16 of 33; Walk: position 16 of 33, when the set is sorted by this metric, smallest first.
Network length34.9 km58.6 km+23.7 kmDrive: position 18 of 33; Walk: position 31 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: 330 pairs sampled · 160 pairs unreachable.Walk: 477 pairs sampled · 18 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
23.7 km
Share of walking network
40.4%

Where these numbers come from

Drive

Nodes
674
Edges
745
Intersections (degree ≥ 3)
351
Disc area
2.01 km²
Intersection density
175 /km²
Rose weighted length
69.8 km
Per-edge circuity
1.028

Walk

Nodes
1279
Edges
1549
Intersections (degree ≥ 3)
801
Disc area
2.01 km²
Intersection density
398 /km²
Rose weighted length
117.2 km
Per-edge circuity
1.033

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 — Kotagede
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°5.13%4.63%0.15230.1422
015°–15°10.67%11.35%0.23880.2470
0215°–25°5.12%4.98%0.15210.1494
0325°–35°1.38%1.36%0.05910.0585
0435°–45°0.64%0.52%0.03220.0274
0545°–55°0.27%0.40%0.01580.0223
0655°–65°0.28%0.31%0.01660.0178
0765°–75°0.41%0.37%0.02270.0206
0875°–85°0.93%0.69%0.04360.0344
0985°–95°4.12%4.15%0.13140.1320
1095°–105°10.97%11.87%0.24250.2529
11105°–115°5.25%4.94%0.15470.1485
12115°–125°1.96%1.61%0.07700.0665
13125°–135°0.45%0.45%0.02440.0242
14135°–145°0.41%0.54%0.02270.0282
15145°–155°0.55%0.45%0.02880.0243
16155°–165°0.52%0.46%0.02720.0249
17165°–175°0.94%0.92%0.04390.0431
18175°–185°5.13%4.63%0.15230.1422
19185°–195°10.67%11.35%0.23880.2470
20195°–205°5.12%4.98%0.15210.1494
21205°–215°1.38%1.36%0.05910.0585
22215°–225°0.64%0.52%0.03220.0274
23225°–235°0.27%0.40%0.01580.0223
24235°–245°0.28%0.31%0.01660.0178
25245°–255°0.41%0.37%0.02270.0206
26255°–265°0.93%0.69%0.04360.0344
27265°–275°4.12%4.15%0.13140.1320
28275°–285°10.97%11.87%0.24250.2529
29285°–295°5.25%4.94%0.15470.1485
30295°–305°1.96%1.61%0.07700.0665
31305°–315°0.45%0.45%0.02440.0242
32315°–325°0.41%0.54%0.02270.0282
33325°–335°0.55%0.45%0.02880.0243
34335°–345°0.52%0.46%0.02720.0249
35345°–355°0.94%0.92%0.04390.0431
Sum = H2.9712.929

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.