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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.

Pantai Indah Kapuk · Jakarta Utara · New town

r = 800 m · 36 bin · Footway coverage 31.5% · moderate

Pantai Indah Kapuk

Jakarta Utara · New town

A new town on reclaimed land, whose pedestrian network is better mapped than that of most kampung in this set.

Drive

15.7 km · 68 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° · 3.5%Drive · 5°–15° · 13.6%Drive · 15°–25° · 2.4%Drive · 25°–35° · 3.7%Drive · 35°–45° · 1.9%Drive · 45°–55° · 0.5%Drive · 55°–65° · 0.3%Drive · 65°–75° · 0.4%Drive · 75°–85° · 0.9%Drive · 85°–95° · 3.3%Drive · 95°–105° · 3.3%Drive · 105°–115° · 2.2%Drive · 115°–125° · 7.0%Drive · 125°–135° · 1.4%Drive · 135°–145° · 0.3%Drive · 145°–155° · 0.4%Drive · 155°–165° · 0.4%Drive · 165°–175° · 4.5%Drive · 175°–185° · 3.5%Drive · 185°–195° · 13.6%Drive · 195°–205° · 2.4%Drive · 205°–215° · 3.7%Drive · 215°–225° · 1.9%Drive · 225°–235° · 0.5%Drive · 235°–245° · 0.3%Drive · 245°–255° · 0.4%Drive · 255°–265° · 0.9%Drive · 265°–275° · 3.3%Drive · 275°–285° · 3.3%Drive · 285°–295° · 2.2%Drive · 295°–305° · 7.0%Drive · 305°–315° · 1.4%Drive · 315°–325° · 0.3%Drive · 325°–335° · 0.4%Drive · 335°–345° · 0.4%Drive · 345°–355° · 4.5%
Drive H 3.080 · φ 0.41

Walk

24.0 km · 101 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° · 2.6%Walk · 5°–15° · 9.4%Walk · 15°–25° · 2.0%Walk · 25°–35° · 3.1%Walk · 35°–45° · 2.2%Walk · 45°–55° · 5.4%Walk · 55°–65° · 0.9%Walk · 65°–75° · 0.8%Walk · 75°–85° · 0.9%Walk · 85°–95° · 2.7%Walk · 95°–105° · 3.5%Walk · 105°–115° · 2.1%Walk · 115°–125° · 5.6%Walk · 125°–135° · 1.5%Walk · 135°–145° · 2.1%Walk · 145°–155° · 0.8%Walk · 155°–165° · 0.7%Walk · 165°–175° · 3.5%Walk · 175°–185° · 2.6%Walk · 185°–195° · 9.4%Walk · 195°–205° · 2.0%Walk · 205°–215° · 3.1%Walk · 215°–225° · 2.2%Walk · 225°–235° · 5.4%Walk · 235°–245° · 0.9%Walk · 245°–255° · 0.8%Walk · 255°–265° · 0.9%Walk · 265°–275° · 2.7%Walk · 275°–285° · 3.5%Walk · 285°–295° · 2.1%Walk · 295°–305° · 5.6%Walk · 305°–315° · 1.5%Walk · 315°–325° · 2.1%Walk · 325°–335° · 0.8%Walk · 335°–345° · 0.7%Walk · 345°–355° · 3.5%
Walk H 3.330 · φ 0.22

Delta

+8.3

km of network reachable only on foot · 34.5% of the walking network

+33
intersections per km²
+1.3%
Dead-end
+0.250
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 3.5%Drive · 5°–15° · 13.6%Drive · 15°–25° · 2.4%Drive · 25°–35° · 3.7%Drive · 35°–45° · 1.9%Drive · 45°–55° · 0.5%Drive · 55°–65° · 0.3%Drive · 65°–75° · 0.4%Drive · 75°–85° · 0.9%Drive · 85°–95° · 3.3%Drive · 95°–105° · 3.3%Drive · 105°–115° · 2.2%Drive · 115°–125° · 7.0%Drive · 125°–135° · 1.4%Drive · 135°–145° · 0.3%Drive · 145°–155° · 0.4%Drive · 155°–165° · 0.4%Drive · 165°–175° · 4.5%Drive · 175°–185° · 3.5%Drive · 185°–195° · 13.6%Drive · 195°–205° · 2.4%Drive · 205°–215° · 3.7%Drive · 215°–225° · 1.9%Drive · 225°–235° · 0.5%Drive · 235°–245° · 0.3%Drive · 245°–255° · 0.4%Drive · 255°–265° · 0.9%Drive · 265°–275° · 3.3%Drive · 275°–285° · 3.3%Drive · 285°–295° · 2.2%Drive · 295°–305° · 7.0%Drive · 305°–315° · 1.4%Drive · 315°–325° · 0.3%Drive · 325°–335° · 0.4%Drive · 335°–345° · 0.4%Drive · 345°–355° · 4.5%Walk · 355°–5° · 2.6%Walk · 5°–15° · 9.4%Walk · 15°–25° · 2.0%Walk · 25°–35° · 3.1%Walk · 35°–45° · 2.2%Walk · 45°–55° · 5.4%Walk · 55°–65° · 0.9%Walk · 65°–75° · 0.8%Walk · 75°–85° · 0.9%Walk · 85°–95° · 2.7%Walk · 95°–105° · 3.5%Walk · 105°–115° · 2.1%Walk · 115°–125° · 5.6%Walk · 125°–135° · 1.5%Walk · 135°–145° · 2.1%Walk · 145°–155° · 0.8%Walk · 155°–165° · 0.7%Walk · 165°–175° · 3.5%Walk · 175°–185° · 2.6%Walk · 185°–195° · 9.4%Walk · 195°–205° · 2.0%Walk · 205°–215° · 3.1%Walk · 215°–225° · 2.2%Walk · 225°–235° · 5.4%Walk · 235°–245° · 0.9%Walk · 245°–255° · 0.8%Walk · 255°–265° · 0.9%Walk · 265°–275° · 2.7%Walk · 275°–285° · 3.5%Walk · 285°–295° · 2.1%Walk · 295°–305° · 5.6%Walk · 305°–315° · 1.5%Walk · 315°–325° · 2.1%Walk · 325°–335° · 0.8%Walk · 335°–345° · 0.7%Walk · 345°–355° · 3.5%
Drive H 3.080 · φ 0.41Walk H 3.330 · φ 0.22
  • 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.

Pantai Indah Kapuk: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.0803.330+0.250Drive: position 15 of 33; Walk: position 22 of 33, when the set is sorted by this metric, smallest first.
H / H max0.8590.929+0.070Drive: position 15 of 33; Walk: position 22 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.4060.217−0.189Drive: position 19 of 33; Walk: position 12 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.4441.429−0.015Drive: position 11 of 33; Walk: position 13 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.372.34−0.03Drive: position 22 of 33; Walk: position 8 of 33, when the set is sorted by this metric, smallest first.
Four-way6.3%5.3%−1.0%Drive: position 22 of 33; Walk: position 8 of 33, when the set is sorted by this metric, smallest first.
Dead-end26.6%27.9%+1.3%Drive: position 13 of 33; Walk: position 22 of 33, when the set is sorted by this metric, smallest first.
Intersection density68 /km²101 /km²+33 /km²Drive: position 5 of 33; Walk: position 4 of 33, when the set is sorted by this metric, smallest first.
Median segment length26 m27 m+1 mDrive: position 1 of 33; Walk: position 10 of 33, when the set is sorted by this metric, smallest first.
Network length15.7 km24.0 km+8.3 kmDrive: position 4 of 33; Walk: position 4 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: 264 pairs sampled · 207 pairs unreachable.Walk: 183 pairs sampled · 304 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
8.3 km
Share of walking network
34.5%

Where these numbers come from

Drive

Nodes
237
Edges
281
Intersections (degree ≥ 3)
136
Disc area
2.01 km²
Intersection density
68 /km²
Rose weighted length
31.5 km
Per-edge circuity
1.069

Walk

Nodes
359
Edges
420
Intersections (degree ≥ 3)
203
Disc area
2.01 km²
Intersection density
101 /km²
Rose weighted length
48.0 km
Per-edge circuity
1.062

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 — Pantai Indah Kapuk
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°3.45%2.61%0.11630.0952
015°–15°13.57%9.44%0.27110.2228
0215°–25°2.39%2.03%0.08920.0792
0325°–35°3.72%3.09%0.12260.1076
0435°–45°1.94%2.23%0.07650.0849
0545°–55°0.53%5.41%0.02790.1579
0655°–65°0.28%0.94%0.01650.0439
0765°–75°0.45%0.76%0.02410.0372
0875°–85°0.92%0.93%0.04320.0435
0985°–95°3.32%2.73%0.11310.0983
1095°–105°3.29%3.49%0.11240.1170
11105°–115°2.18%2.11%0.08330.0815
12115°–125°7.03%5.60%0.18660.1613
13125°–135°1.37%1.48%0.05870.0624
14135°–145°0.26%2.11%0.01560.0814
15145°–155°0.37%0.83%0.02050.0398
16155°–165°0.41%0.65%0.02250.0328
17165°–175°4.52%3.55%0.13990.1184
18175°–185°3.45%2.61%0.11630.0952
19185°–195°13.57%9.44%0.27110.2228
20195°–205°2.39%2.03%0.08920.0792
21205°–215°3.72%3.09%0.12260.1076
22215°–225°1.94%2.23%0.07650.0849
23225°–235°0.53%5.41%0.02790.1579
24235°–245°0.28%0.94%0.01650.0439
25245°–255°0.45%0.76%0.02410.0372
26255°–265°0.92%0.93%0.04320.0435
27265°–275°3.32%2.73%0.11310.0983
28275°–285°3.29%3.49%0.11240.1170
29285°–295°2.18%2.11%0.08330.0815
30295°–305°7.03%5.60%0.18660.1613
31305°–315°1.37%1.48%0.05870.0624
32315°–325°0.26%2.11%0.01560.0814
33325°–335°0.37%0.83%0.02050.0398
34335°–345°0.41%0.65%0.02250.0328
35345°–355°4.52%3.55%0.13990.1184
Sum = H3.0803.330

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.