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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.

Kampung Melayu · Jakarta Timur · Kampung kota

r = 800 m · 36 bin · Footway coverage 2.6% · thin

Kampung Melayu

Jakarta Timur · Kampung kota

Dense settlement on a bend of the Ciliwung, grown along the river.

Read the two columns below as two readings of the same data rather than as a gap that can yet be concluded from. The gang here are not mapped densely enough for that.

Drive

37.5 km · 125 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° · 7.9%Drive · 5°–15° · 1.2%Drive · 15°–25° · 1.1%Drive · 25°–35° · 1.4%Drive · 35°–45° · 0.8%Drive · 45°–55° · 0.5%Drive · 55°–65° · 0.7%Drive · 65°–75° · 1.0%Drive · 75°–85° · 7.9%Drive · 85°–95° · 13.4%Drive · 95°–105° · 1.4%Drive · 105°–115° · 1.0%Drive · 115°–125° · 0.6%Drive · 125°–135° · 0.4%Drive · 135°–145° · 0.9%Drive · 145°–155° · 2.0%Drive · 155°–165° · 4.5%Drive · 165°–175° · 3.2%Drive · 175°–185° · 7.9%Drive · 185°–195° · 1.2%Drive · 195°–205° · 1.1%Drive · 205°–215° · 1.4%Drive · 215°–225° · 0.8%Drive · 225°–235° · 0.5%Drive · 235°–245° · 0.7%Drive · 245°–255° · 1.0%Drive · 255°–265° · 7.9%Drive · 265°–275° · 13.4%Drive · 275°–285° · 1.4%Drive · 285°–295° · 1.0%Drive · 295°–305° · 0.6%Drive · 305°–315° · 0.4%Drive · 315°–325° · 0.9%Drive · 325°–335° · 2.0%Drive · 335°–345° · 4.5%Drive · 345°–355° · 3.2%
Drive H 3.020 · φ 0.45

Walk

53.3 km · 308 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° · 9.4%Walk · 5°–15° · 1.9%Walk · 15°–25° · 1.2%Walk · 25°–35° · 1.3%Walk · 35°–45° · 0.8%Walk · 45°–55° · 0.7%Walk · 55°–65° · 0.9%Walk · 65°–75° · 1.2%Walk · 75°–85° · 6.6%Walk · 85°–95° · 12.9%Walk · 95°–105° · 1.7%Walk · 105°–115° · 1.1%Walk · 115°–125° · 0.5%Walk · 125°–135° · 0.5%Walk · 135°–145° · 0.8%Walk · 145°–155° · 1.6%Walk · 155°–165° · 3.5%Walk · 165°–175° · 3.3%Walk · 175°–185° · 9.4%Walk · 185°–195° · 1.9%Walk · 195°–205° · 1.2%Walk · 205°–215° · 1.3%Walk · 215°–225° · 0.8%Walk · 225°–235° · 0.7%Walk · 235°–245° · 0.9%Walk · 245°–255° · 1.2%Walk · 255°–265° · 6.6%Walk · 265°–275° · 12.9%Walk · 275°–285° · 1.7%Walk · 285°–295° · 1.1%Walk · 295°–305° · 0.5%Walk · 305°–315° · 0.5%Walk · 315°–325° · 0.8%Walk · 325°–335° · 1.6%Walk · 335°–345° · 3.5%Walk · 345°–355° · 3.3%
Walk H 3.056 · φ 0.42

Delta

+18.6

km of network reachable only on foot · 35.0% of the walking network

+183
intersections per km²
−3.4%
Dead-end
+0.036
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 7.9%Drive · 5°–15° · 1.2%Drive · 15°–25° · 1.1%Drive · 25°–35° · 1.4%Drive · 35°–45° · 0.8%Drive · 45°–55° · 0.5%Drive · 55°–65° · 0.7%Drive · 65°–75° · 1.0%Drive · 75°–85° · 7.9%Drive · 85°–95° · 13.4%Drive · 95°–105° · 1.4%Drive · 105°–115° · 1.0%Drive · 115°–125° · 0.6%Drive · 125°–135° · 0.4%Drive · 135°–145° · 0.9%Drive · 145°–155° · 2.0%Drive · 155°–165° · 4.5%Drive · 165°–175° · 3.2%Drive · 175°–185° · 7.9%Drive · 185°–195° · 1.2%Drive · 195°–205° · 1.1%Drive · 205°–215° · 1.4%Drive · 215°–225° · 0.8%Drive · 225°–235° · 0.5%Drive · 235°–245° · 0.7%Drive · 245°–255° · 1.0%Drive · 255°–265° · 7.9%Drive · 265°–275° · 13.4%Drive · 275°–285° · 1.4%Drive · 285°–295° · 1.0%Drive · 295°–305° · 0.6%Drive · 305°–315° · 0.4%Drive · 315°–325° · 0.9%Drive · 325°–335° · 2.0%Drive · 335°–345° · 4.5%Drive · 345°–355° · 3.2%Walk · 355°–5° · 9.4%Walk · 5°–15° · 1.9%Walk · 15°–25° · 1.2%Walk · 25°–35° · 1.3%Walk · 35°–45° · 0.8%Walk · 45°–55° · 0.7%Walk · 55°–65° · 0.9%Walk · 65°–75° · 1.2%Walk · 75°–85° · 6.6%Walk · 85°–95° · 12.9%Walk · 95°–105° · 1.7%Walk · 105°–115° · 1.1%Walk · 115°–125° · 0.5%Walk · 125°–135° · 0.5%Walk · 135°–145° · 0.8%Walk · 145°–155° · 1.6%Walk · 155°–165° · 3.5%Walk · 165°–175° · 3.3%Walk · 175°–185° · 9.4%Walk · 185°–195° · 1.9%Walk · 195°–205° · 1.2%Walk · 205°–215° · 1.3%Walk · 215°–225° · 0.8%Walk · 225°–235° · 0.7%Walk · 235°–245° · 0.9%Walk · 245°–255° · 1.2%Walk · 255°–265° · 6.6%Walk · 265°–275° · 12.9%Walk · 275°–285° · 1.7%Walk · 285°–295° · 1.1%Walk · 295°–305° · 0.5%Walk · 305°–315° · 0.5%Walk · 315°–325° · 0.8%Walk · 325°–335° · 1.6%Walk · 335°–345° · 3.5%Walk · 345°–355° · 3.3%
Drive H 3.020 · φ 0.45Walk H 3.056 · φ 0.42
  • 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.

Kampung Melayu: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.0203.056+0.036Drive: position 11 of 33; Walk: position 12 of 33, when the set is sorted by this metric, smallest first.
H / H max0.8430.853+0.010Drive: position 11 of 33; Walk: position 12 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.4470.423−0.025Drive: position 23 of 33; Walk: position 22 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.6791.551−0.128Drive: position 28 of 33; Walk: position 23 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.202.35+0.15Drive: position 4 of 33; Walk: position 9 of 33, when the set is sorted by this metric, smallest first.
Four-way2.7%4.1%+1.4%Drive: position 4 of 33; Walk: position 3 of 33, when the set is sorted by this metric, smallest first.
Dead-end27.9%24.5%−3.4%Drive: position 15 of 33; Walk: position 14 of 33, when the set is sorted by this metric, smallest first.
Intersection density125 /km²308 /km²+183 /km²Drive: position 13 of 33; Walk: position 23 of 33, when the set is sorted by this metric, smallest first.
Median segment length39 m32 m−7 mDrive: position 18 of 33; Walk: position 17 of 33, when the set is sorted by this metric, smallest first.
Network length37.5 km53.3 km+15.9 kmDrive: position 21 of 33; Walk: position 25 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: 452 pairs sampled · 31 pairs unreachable.Walk: 463 pairs sampled · 25 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
18.6 km
Share of walking network
35.0%

Where these numbers come from

Drive

Nodes
555
Edges
611
Intersections (degree ≥ 3)
252
Disc area
2.01 km²
Intersection density
125 /km²
Rose weighted length
74.9 km
Per-edge circuity
1.068

Walk

Nodes
1114
Edges
1310
Intersections (degree ≥ 3)
619
Disc area
2.01 km²
Intersection density
308 /km²
Rose weighted length
106.7 km
Per-edge circuity
1.043

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 — Kampung Melayu
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°7.90%9.44%0.20050.2228
015°–15°1.22%1.86%0.05360.0741
0215°–25°1.12%1.21%0.05020.0532
0325°–35°1.38%1.29%0.05900.0561
0435°–45°0.80%0.78%0.03860.0380
0545°–55°0.50%0.68%0.02650.0340
0655°–65°0.68%0.94%0.03390.0437
0765°–75°1.04%1.21%0.04750.0536
0875°–85°7.92%6.59%0.20090.1793
0985°–95°13.40%12.95%0.26930.2647
1095°–105°1.39%1.74%0.05940.0704
11105°–115°1.02%1.14%0.04680.0508
12115°–125°0.58%0.49%0.02990.0261
13125°–135°0.40%0.49%0.02230.0261
14135°–145°0.91%0.81%0.04270.0390
15145°–155°1.98%1.65%0.07770.0676
16155°–165°4.54%3.47%0.14050.1167
17165°–175°3.22%3.27%0.11070.1118
18175°–185°7.90%9.44%0.20050.2228
19185°–195°1.22%1.86%0.05360.0741
20195°–205°1.12%1.21%0.05020.0532
21205°–215°1.38%1.29%0.05900.0561
22215°–225°0.80%0.78%0.03860.0380
23225°–235°0.50%0.68%0.02650.0340
24235°–245°0.68%0.94%0.03390.0437
25245°–255°1.04%1.21%0.04750.0536
26255°–265°7.92%6.59%0.20090.1793
27265°–275°13.40%12.95%0.26930.2647
28275°–285°1.39%1.74%0.05940.0704
29285°–295°1.02%1.14%0.04680.0508
30295°–305°0.58%0.49%0.02990.0261
31305°–315°0.40%0.49%0.02230.0261
32315°–325°0.91%0.81%0.04270.0390
33325°–335°1.98%1.65%0.07770.0676
34335°–345°4.54%3.47%0.14050.1167
35345°–355°3.22%3.27%0.11070.1118
Sum = H3.0203.056

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.