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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.

Empang · Bogor · Kampung kota

r = 800 m · 36 bin · Footway coverage 19.7% · moderate

Empang

Bogor · Kampung kota

A dense kampung south of the Suryakencana pecinan corridor, threaded with narrow gang between small blocks.

Drive

26.5 km · 115 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° · 2.3%Drive · 15°–25° · 0.8%Drive · 25°–35° · 1.3%Drive · 35°–45° · 2.1%Drive · 45°–55° · 2.2%Drive · 55°–65° · 2.5%Drive · 65°–75° · 3.5%Drive · 75°–85° · 4.6%Drive · 85°–95° · 3.2%Drive · 95°–105° · 2.7%Drive · 105°–115° · 1.5%Drive · 115°–125° · 1.8%Drive · 125°–135° · 2.8%Drive · 135°–145° · 2.4%Drive · 145°–155° · 2.9%Drive · 155°–165° · 4.3%Drive · 165°–175° · 4.0%Drive · 175°–185° · 5.1%Drive · 185°–195° · 2.3%Drive · 195°–205° · 0.8%Drive · 205°–215° · 1.3%Drive · 215°–225° · 2.1%Drive · 225°–235° · 2.2%Drive · 235°–245° · 2.5%Drive · 245°–255° · 3.5%Drive · 255°–265° · 4.6%Drive · 265°–275° · 3.2%Drive · 275°–285° · 2.7%Drive · 285°–295° · 1.5%Drive · 295°–305° · 1.8%Drive · 305°–315° · 2.8%Drive · 315°–325° · 2.4%Drive · 325°–335° · 2.9%Drive · 335°–345° · 4.3%Drive · 345°–355° · 4.0%
Drive H 3.500 · φ 0.07

Walk

44.6 km · 245 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° · 4.2%Walk · 5°–15° · 2.2%Walk · 15°–25° · 1.1%Walk · 25°–35° · 1.6%Walk · 35°–45° · 2.4%Walk · 45°–55° · 2.4%Walk · 55°–65° · 2.6%Walk · 65°–75° · 3.5%Walk · 75°–85° · 4.1%Walk · 85°–95° · 3.3%Walk · 95°–105° · 2.7%Walk · 105°–115° · 2.1%Walk · 115°–125° · 1.8%Walk · 125°–135° · 2.4%Walk · 135°–145° · 2.5%Walk · 145°–155° · 2.9%Walk · 155°–165° · 4.6%Walk · 165°–175° · 3.8%Walk · 175°–185° · 4.2%Walk · 185°–195° · 2.2%Walk · 195°–205° · 1.1%Walk · 205°–215° · 1.6%Walk · 215°–225° · 2.4%Walk · 225°–235° · 2.4%Walk · 235°–245° · 2.6%Walk · 245°–255° · 3.5%Walk · 255°–265° · 4.1%Walk · 265°–275° · 3.3%Walk · 275°–285° · 2.7%Walk · 285°–295° · 2.1%Walk · 295°–305° · 1.8%Walk · 305°–315° · 2.4%Walk · 315°–325° · 2.5%Walk · 325°–335° · 2.9%Walk · 335°–345° · 4.6%Walk · 345°–355° · 3.8%
Walk H 3.526 · φ 0.05

Delta

+18.1

km of network reachable only on foot · 40.6% of the walking network

+129
intersections per km²
−5.5%
Dead-end
+0.027
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 5.1%Drive · 5°–15° · 2.3%Drive · 15°–25° · 0.8%Drive · 25°–35° · 1.3%Drive · 35°–45° · 2.1%Drive · 45°–55° · 2.2%Drive · 55°–65° · 2.5%Drive · 65°–75° · 3.5%Drive · 75°–85° · 4.6%Drive · 85°–95° · 3.2%Drive · 95°–105° · 2.7%Drive · 105°–115° · 1.5%Drive · 115°–125° · 1.8%Drive · 125°–135° · 2.8%Drive · 135°–145° · 2.4%Drive · 145°–155° · 2.9%Drive · 155°–165° · 4.3%Drive · 165°–175° · 4.0%Drive · 175°–185° · 5.1%Drive · 185°–195° · 2.3%Drive · 195°–205° · 0.8%Drive · 205°–215° · 1.3%Drive · 215°–225° · 2.1%Drive · 225°–235° · 2.2%Drive · 235°–245° · 2.5%Drive · 245°–255° · 3.5%Drive · 255°–265° · 4.6%Drive · 265°–275° · 3.2%Drive · 275°–285° · 2.7%Drive · 285°–295° · 1.5%Drive · 295°–305° · 1.8%Drive · 305°–315° · 2.8%Drive · 315°–325° · 2.4%Drive · 325°–335° · 2.9%Drive · 335°–345° · 4.3%Drive · 345°–355° · 4.0%Walk · 355°–5° · 4.2%Walk · 5°–15° · 2.2%Walk · 15°–25° · 1.1%Walk · 25°–35° · 1.6%Walk · 35°–45° · 2.4%Walk · 45°–55° · 2.4%Walk · 55°–65° · 2.6%Walk · 65°–75° · 3.5%Walk · 75°–85° · 4.1%Walk · 85°–95° · 3.3%Walk · 95°–105° · 2.7%Walk · 105°–115° · 2.1%Walk · 115°–125° · 1.8%Walk · 125°–135° · 2.4%Walk · 135°–145° · 2.5%Walk · 145°–155° · 2.9%Walk · 155°–165° · 4.6%Walk · 165°–175° · 3.8%Walk · 175°–185° · 4.2%Walk · 185°–195° · 2.2%Walk · 195°–205° · 1.1%Walk · 205°–215° · 1.6%Walk · 215°–225° · 2.4%Walk · 225°–235° · 2.4%Walk · 235°–245° · 2.6%Walk · 245°–255° · 3.5%Walk · 255°–265° · 4.1%Walk · 265°–275° · 3.3%Walk · 275°–285° · 2.7%Walk · 285°–295° · 2.1%Walk · 295°–305° · 1.8%Walk · 305°–315° · 2.4%Walk · 315°–325° · 2.5%Walk · 325°–335° · 2.9%Walk · 335°–345° · 4.6%Walk · 345°–355° · 3.8%
Drive H 3.500 · φ 0.07Walk H 3.526 · φ 0.05
  • 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.

Empang: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.5003.526+0.027Drive: position 33 of 33; Walk: position 33 of 33, when the set is sorted by this metric, smallest first.
H / H max0.9770.984+0.007Drive: position 33 of 33; Walk: position 33 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.0750.051−0.023Drive: position 1 of 33; Walk: position 1 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.8141.437−0.377Drive: position 30 of 33; Walk: position 15 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.252.44+0.19Drive: position 11 of 33; Walk: position 21 of 33, when the set is sorted by this metric, smallest first.
Four-way2.1%9.6%+7.5%Drive: position 2 of 33; Walk: position 25 of 33, when the set is sorted by this metric, smallest first.
Dead-end31.3%25.8%−5.5%Drive: position 19 of 33; Walk: position 17 of 33, when the set is sorted by this metric, smallest first.
Intersection density115 /km²245 /km²+129 /km²Drive: position 12 of 33; Walk: position 18 of 33, when the set is sorted by this metric, smallest first.
Median segment length42 m33 m−10 mDrive: position 23 of 33; Walk: position 18 of 33, when the set is sorted by this metric, smallest first.
Network length26.5 km44.6 km+18.1 kmDrive: position 11 of 33; Walk: position 15 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: 375 pairs sampled · 114 pairs unreachable.Walk: 435 pairs sampled · 54 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
18.1 km
Share of walking network
40.6%

Where these numbers come from

Drive

Nodes
432
Edges
485
Intersections (degree ≥ 3)
232
Disc area
2.01 km²
Intersection density
115 /km²
Rose weighted length
52.9 km
Per-edge circuity
1.057

Walk

Nodes
826
Edges
1006
Intersections (degree ≥ 3)
492
Disc area
2.01 km²
Intersection density
245 /km²
Rose weighted length
89.2 km
Per-edge circuity
1.058

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 — Empang
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°5.15%4.19%0.15270.1328
015°–15°2.35%2.18%0.08810.0835
0215°–25°0.85%1.13%0.04050.0508
0325°–35°1.32%1.55%0.05710.0647
0435°–45°2.14%2.39%0.08240.0891
0545°–55°2.17%2.35%0.08330.0883
0655°–65°2.49%2.59%0.09210.0947
0765°–75°3.52%3.52%0.11770.1178
0875°–85°4.59%4.15%0.14140.1320
0985°–95°3.17%3.25%0.10930.1114
1095°–105°2.66%2.68%0.09640.0970
11105°–115°1.50%2.07%0.06290.0802
12115°–125°1.76%1.75%0.07110.0709
13125°–135°2.81%2.38%0.10030.0889
14135°–145°2.38%2.50%0.08900.0922
15145°–155°2.93%2.92%0.10340.1033
16155°–165°4.26%4.63%0.13440.1422
17165°–175°3.96%3.76%0.12790.1233
18175°–185°5.15%4.19%0.15270.1328
19185°–195°2.35%2.18%0.08810.0835
20195°–205°0.85%1.13%0.04050.0508
21205°–215°1.32%1.55%0.05710.0647
22215°–225°2.14%2.39%0.08240.0891
23225°–235°2.17%2.35%0.08330.0883
24235°–245°2.49%2.59%0.09210.0947
25245°–255°3.52%3.52%0.11770.1178
26255°–265°4.59%4.15%0.14140.1320
27265°–275°3.17%3.25%0.10930.1114
28275°–285°2.66%2.68%0.09640.0970
29285°–295°1.50%2.07%0.06290.0802
30295°–305°1.76%1.75%0.07110.0709
31305°–315°2.81%2.38%0.10030.0889
32315°–325°2.38%2.50%0.08900.0922
33325°–335°2.93%2.92%0.10340.1033
34335°–345°4.26%4.63%0.13440.1422
35345°–355°3.96%3.76%0.12790.1233
Sum = H3.5003.526

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.