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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.

Cihapit · Bandung · Colonial grid

r = 800 m · 36 bin · Footway coverage 25.9% · moderate

Cihapit

Bandung · Colonial grid

A colonial-era planned quarter of Bandung whose streets are named after islands — Bali, Bangka, Belitung, Lombok. More footway is mapped here than residential street.

Drive

45.5 km · 263 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° · 8.4%Drive · 5°–15° · 2.2%Drive · 15°–25° · 2.1%Drive · 25°–35° · 0.8%Drive · 35°–45° · 2.7%Drive · 45°–55° · 1.3%Drive · 55°–65° · 1.7%Drive · 65°–75° · 1.1%Drive · 75°–85° · 2.2%Drive · 85°–95° · 10.3%Drive · 95°–105° · 3.8%Drive · 105°–115° · 2.5%Drive · 115°–125° · 1.4%Drive · 125°–135° · 2.7%Drive · 135°–145° · 1.6%Drive · 145°–155° · 2.1%Drive · 155°–165° · 1.4%Drive · 165°–175° · 1.7%Drive · 175°–185° · 8.4%Drive · 185°–195° · 2.2%Drive · 195°–205° · 2.1%Drive · 205°–215° · 0.8%Drive · 215°–225° · 2.7%Drive · 225°–235° · 1.3%Drive · 235°–245° · 1.7%Drive · 245°–255° · 1.1%Drive · 255°–265° · 2.2%Drive · 265°–275° · 10.3%Drive · 275°–285° · 3.8%Drive · 285°–295° · 2.5%Drive · 295°–305° · 1.4%Drive · 305°–315° · 2.7%Drive · 315°–325° · 1.6%Drive · 325°–335° · 2.1%Drive · 335°–345° · 1.4%Drive · 345°–355° · 1.7%
Drive H 3.306 · φ 0.24

Walk

65.8 km · 465 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° · 7.1%Walk · 5°–15° · 2.1%Walk · 15°–25° · 2.1%Walk · 25°–35° · 0.9%Walk · 35°–45° · 2.5%Walk · 45°–55° · 1.4%Walk · 55°–65° · 1.4%Walk · 65°–75° · 1.3%Walk · 75°–85° · 2.2%Walk · 85°–95° · 9.6%Walk · 95°–105° · 3.6%Walk · 105°–115° · 2.8%Walk · 115°–125° · 1.9%Walk · 125°–135° · 3.5%Walk · 135°–145° · 2.1%Walk · 145°–155° · 2.0%Walk · 155°–165° · 1.5%Walk · 165°–175° · 1.9%Walk · 175°–185° · 7.1%Walk · 185°–195° · 2.1%Walk · 195°–205° · 2.1%Walk · 205°–215° · 0.9%Walk · 215°–225° · 2.5%Walk · 225°–235° · 1.4%Walk · 235°–245° · 1.4%Walk · 245°–255° · 1.3%Walk · 255°–265° · 2.2%Walk · 265°–275° · 9.6%Walk · 275°–285° · 3.6%Walk · 285°–295° · 2.8%Walk · 295°–305° · 1.9%Walk · 305°–315° · 3.5%Walk · 315°–325° · 2.1%Walk · 325°–335° · 2.0%Walk · 335°–345° · 1.5%Walk · 345°–355° · 1.9%
Walk H 3.364 · φ 0.19

Delta

+20.6

km of network reachable only on foot · 31.2% of the walking network

+202
intersections per km²
−1.6%
Dead-end
+0.058
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 8.4%Drive · 5°–15° · 2.2%Drive · 15°–25° · 2.1%Drive · 25°–35° · 0.8%Drive · 35°–45° · 2.7%Drive · 45°–55° · 1.3%Drive · 55°–65° · 1.7%Drive · 65°–75° · 1.1%Drive · 75°–85° · 2.2%Drive · 85°–95° · 10.3%Drive · 95°–105° · 3.8%Drive · 105°–115° · 2.5%Drive · 115°–125° · 1.4%Drive · 125°–135° · 2.7%Drive · 135°–145° · 1.6%Drive · 145°–155° · 2.1%Drive · 155°–165° · 1.4%Drive · 165°–175° · 1.7%Drive · 175°–185° · 8.4%Drive · 185°–195° · 2.2%Drive · 195°–205° · 2.1%Drive · 205°–215° · 0.8%Drive · 215°–225° · 2.7%Drive · 225°–235° · 1.3%Drive · 235°–245° · 1.7%Drive · 245°–255° · 1.1%Drive · 255°–265° · 2.2%Drive · 265°–275° · 10.3%Drive · 275°–285° · 3.8%Drive · 285°–295° · 2.5%Drive · 295°–305° · 1.4%Drive · 305°–315° · 2.7%Drive · 315°–325° · 1.6%Drive · 325°–335° · 2.1%Drive · 335°–345° · 1.4%Drive · 345°–355° · 1.7%Walk · 355°–5° · 7.1%Walk · 5°–15° · 2.1%Walk · 15°–25° · 2.1%Walk · 25°–35° · 0.9%Walk · 35°–45° · 2.5%Walk · 45°–55° · 1.4%Walk · 55°–65° · 1.4%Walk · 65°–75° · 1.3%Walk · 75°–85° · 2.2%Walk · 85°–95° · 9.6%Walk · 95°–105° · 3.6%Walk · 105°–115° · 2.8%Walk · 115°–125° · 1.9%Walk · 125°–135° · 3.5%Walk · 135°–145° · 2.1%Walk · 145°–155° · 2.0%Walk · 155°–165° · 1.5%Walk · 165°–175° · 1.9%Walk · 175°–185° · 7.1%Walk · 185°–195° · 2.1%Walk · 195°–205° · 2.1%Walk · 205°–215° · 0.9%Walk · 215°–225° · 2.5%Walk · 225°–235° · 1.4%Walk · 235°–245° · 1.4%Walk · 245°–255° · 1.3%Walk · 255°–265° · 2.2%Walk · 265°–275° · 9.6%Walk · 275°–285° · 3.6%Walk · 285°–295° · 2.8%Walk · 295°–305° · 1.9%Walk · 305°–315° · 3.5%Walk · 315°–325° · 2.1%Walk · 325°–335° · 2.0%Walk · 335°–345° · 1.5%Walk · 345°–355° · 1.9%
Drive H 3.306 · φ 0.24Walk H 3.364 · φ 0.19
  • 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.

Cihapit: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.3063.364+0.058Drive: position 24 of 33; Walk: position 24 of 33, when the set is sorted by this metric, smallest first.
H / H max0.9230.939+0.016Drive: position 24 of 33; Walk: position 24 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.2360.190−0.047Drive: position 10 of 33; Walk: position 10 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.4871.361−0.125Drive: position 15 of 33; Walk: position 3 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.552.73+0.18Drive: position 31 of 33; Walk: position 33 of 33, when the set is sorted by this metric, smallest first.
Four-way8.1%20.5%+12.4%Drive: position 28 of 33; Walk: position 33 of 33, when the set is sorted by this metric, smallest first.
Dead-end21.2%19.6%−1.6%Drive: position 2 of 33; Walk: position 3 of 33, when the set is sorted by this metric, smallest first.
Intersection density263 /km²465 /km²+202 /km²Drive: position 33 of 33; Walk: position 33 of 33, when the set is sorted by this metric, smallest first.
Median segment length32 m20 m−12 mDrive: position 8 of 33; Walk: position 2 of 33, when the set is sorted by this metric, smallest first.
Network length45.5 km65.8 km+20.3 kmDrive: position 31 of 33; Walk: position 33 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: 492 pairs sampled · 3 pairs unreachable.Walk: 480 pairs sampled · 11 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
20.6 km
Share of walking network
31.2%

Where these numbers come from

Drive

Nodes
778
Edges
993
Intersections (degree ≥ 3)
528
Disc area
2.01 km²
Intersection density
263 /km²
Rose weighted length
91.1 km
Per-edge circuity
1.054

Walk

Nodes
1302
Edges
1779
Intersections (degree ≥ 3)
934
Disc area
2.01 km²
Intersection density
465 /km²
Rose weighted length
131.7 km
Per-edge circuity
1.051

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 — Cihapit
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°8.43%7.14%0.20850.1884
015°–15°2.16%2.07%0.08290.0802
0215°–25°2.06%2.10%0.08010.0810
0325°–35°0.83%0.92%0.03980.0431
0435°–45°2.66%2.54%0.09660.0933
0545°–55°1.32%1.43%0.05700.0607
0655°–65°1.68%1.37%0.06860.0587
0765°–75°1.14%1.33%0.05110.0574
0875°–85°2.18%2.21%0.08330.0841
0985°–95°10.28%9.60%0.23390.2249
1095°–105°3.84%3.62%0.12510.1201
11105°–115°2.47%2.82%0.09130.1008
12115°–125°1.38%1.93%0.05900.0760
13125°–135°2.71%3.52%0.09790.1178
14135°–145°1.64%2.09%0.06730.0809
15145°–155°2.12%2.01%0.08180.0784
16155°–165°1.38%1.47%0.05920.0621
17165°–175°1.71%1.86%0.06970.0740
18175°–185°8.43%7.14%0.20850.1884
19185°–195°2.16%2.07%0.08290.0802
20195°–205°2.06%2.10%0.08010.0810
21205°–215°0.83%0.92%0.03980.0431
22215°–225°2.66%2.54%0.09660.0933
23225°–235°1.32%1.43%0.05700.0607
24235°–245°1.68%1.37%0.06860.0587
25245°–255°1.14%1.33%0.05110.0574
26255°–265°2.18%2.21%0.08330.0841
27265°–275°10.28%9.60%0.23390.2249
28275°–285°3.84%3.62%0.12510.1201
29285°–295°2.47%2.82%0.09130.1008
30295°–305°1.38%1.93%0.05900.0760
31305°–315°2.71%3.52%0.09790.1178
32315°–325°1.64%2.09%0.06730.0809
33325°–335°2.12%2.01%0.08180.0784
34335°–345°1.38%1.47%0.05920.0621
35345°–355°1.71%1.86%0.06970.0740
Sum = H3.3063.364

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.