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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.

Hamadi · Jayapura · Kampung kota

r = 800 m · 36 bin · Footway coverage 15.3% · moderate

Hamadi

Jayapura · Kampung kota

Settlement south of Jayapura, pinched between the bay and the ridge. Long residential streets and a thin pedestrian network — a pattern that here means two things at once: its form, and how much of it has been mapped.

Drive

14.3 km · 64 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° · 2.4%Drive · 5°–15° · 2.4%Drive · 15°–25° · 2.7%Drive · 25°–35° · 2.8%Drive · 35°–45° · 6.0%Drive · 45°–55° · 1.9%Drive · 55°–65° · 2.3%Drive · 65°–75° · 1.7%Drive · 75°–85° · 1.6%Drive · 85°–95° · 3.1%Drive · 95°–105° · 3.2%Drive · 105°–115° · 1.8%Drive · 115°–125° · 2.7%Drive · 125°–135° · 8.0%Drive · 135°–145° · 2.3%Drive · 145°–155° · 1.6%Drive · 155°–165° · 1.9%Drive · 165°–175° · 1.6%Drive · 175°–185° · 2.4%Drive · 185°–195° · 2.4%Drive · 195°–205° · 2.7%Drive · 205°–215° · 2.8%Drive · 215°–225° · 6.0%Drive · 225°–235° · 1.9%Drive · 235°–245° · 2.3%Drive · 245°–255° · 1.7%Drive · 255°–265° · 1.6%Drive · 265°–275° · 3.1%Drive · 275°–285° · 3.2%Drive · 285°–295° · 1.8%Drive · 295°–305° · 2.7%Drive · 305°–315° · 8.0%Drive · 315°–325° · 2.3%Drive · 325°–335° · 1.6%Drive · 335°–345° · 1.9%Drive · 345°–355° · 1.6%
Drive H 3.455 · φ 0.11

Walk

16.9 km · 71 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° · 2.5%Walk · 5°–15° · 2.7%Walk · 15°–25° · 4.1%Walk · 25°–35° · 2.8%Walk · 35°–45° · 5.2%Walk · 45°–55° · 1.9%Walk · 55°–65° · 2.9%Walk · 65°–75° · 1.8%Walk · 75°–85° · 1.6%Walk · 85°–95° · 2.8%Walk · 95°–105° · 3.4%Walk · 105°–115° · 2.5%Walk · 115°–125° · 2.5%Walk · 125°–135° · 6.8%Walk · 135°–145° · 2.1%Walk · 145°–155° · 1.4%Walk · 155°–165° · 1.6%Walk · 165°–175° · 1.3%Walk · 175°–185° · 2.5%Walk · 185°–195° · 2.7%Walk · 195°–205° · 4.1%Walk · 205°–215° · 2.8%Walk · 215°–225° · 5.2%Walk · 225°–235° · 1.9%Walk · 235°–245° · 2.9%Walk · 245°–255° · 1.8%Walk · 255°–265° · 1.6%Walk · 265°–275° · 2.8%Walk · 275°–285° · 3.4%Walk · 285°–295° · 2.5%Walk · 295°–305° · 2.5%Walk · 305°–315° · 6.8%Walk · 315°–325° · 2.1%Walk · 325°–335° · 1.4%Walk · 335°–345° · 1.6%Walk · 345°–355° · 1.3%
Walk H 3.478 · φ 0.09

Delta

+2.6

km of network reachable only on foot · 15.3% of the walking network

+7
intersections per km²
−1.4%
Dead-end
+0.023
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 2.4%Drive · 5°–15° · 2.4%Drive · 15°–25° · 2.7%Drive · 25°–35° · 2.8%Drive · 35°–45° · 6.0%Drive · 45°–55° · 1.9%Drive · 55°–65° · 2.3%Drive · 65°–75° · 1.7%Drive · 75°–85° · 1.6%Drive · 85°–95° · 3.1%Drive · 95°–105° · 3.2%Drive · 105°–115° · 1.8%Drive · 115°–125° · 2.7%Drive · 125°–135° · 8.0%Drive · 135°–145° · 2.3%Drive · 145°–155° · 1.6%Drive · 155°–165° · 1.9%Drive · 165°–175° · 1.6%Drive · 175°–185° · 2.4%Drive · 185°–195° · 2.4%Drive · 195°–205° · 2.7%Drive · 205°–215° · 2.8%Drive · 215°–225° · 6.0%Drive · 225°–235° · 1.9%Drive · 235°–245° · 2.3%Drive · 245°–255° · 1.7%Drive · 255°–265° · 1.6%Drive · 265°–275° · 3.1%Drive · 275°–285° · 3.2%Drive · 285°–295° · 1.8%Drive · 295°–305° · 2.7%Drive · 305°–315° · 8.0%Drive · 315°–325° · 2.3%Drive · 325°–335° · 1.6%Drive · 335°–345° · 1.9%Drive · 345°–355° · 1.6%Walk · 355°–5° · 2.5%Walk · 5°–15° · 2.7%Walk · 15°–25° · 4.1%Walk · 25°–35° · 2.8%Walk · 35°–45° · 5.2%Walk · 45°–55° · 1.9%Walk · 55°–65° · 2.9%Walk · 65°–75° · 1.8%Walk · 75°–85° · 1.6%Walk · 85°–95° · 2.8%Walk · 95°–105° · 3.4%Walk · 105°–115° · 2.5%Walk · 115°–125° · 2.5%Walk · 125°–135° · 6.8%Walk · 135°–145° · 2.1%Walk · 145°–155° · 1.4%Walk · 155°–165° · 1.6%Walk · 165°–175° · 1.3%Walk · 175°–185° · 2.5%Walk · 185°–195° · 2.7%Walk · 195°–205° · 4.1%Walk · 205°–215° · 2.8%Walk · 215°–225° · 5.2%Walk · 225°–235° · 1.9%Walk · 235°–245° · 2.9%Walk · 245°–255° · 1.8%Walk · 255°–265° · 1.6%Walk · 265°–275° · 2.8%Walk · 275°–285° · 3.4%Walk · 285°–295° · 2.5%Walk · 295°–305° · 2.5%Walk · 305°–315° · 6.8%Walk · 315°–325° · 2.1%Walk · 325°–335° · 1.4%Walk · 335°–345° · 1.6%Walk · 345°–355° · 1.3%
Drive H 3.455 · φ 0.11Walk H 3.478 · φ 0.09
  • 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.

Hamadi: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.4553.478+0.023Drive: position 29 of 33; Walk: position 31 of 33, when the set is sorted by this metric, smallest first.
H / H max0.9640.970+0.006Drive: position 29 of 33; Walk: position 31 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.1140.094−0.020Drive: position 5 of 33; Walk: position 3 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.8601.879+0.019Drive: position 31 of 33; Walk: position 33 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.172.17+0.00Drive: position 3 of 33; Walk: position 3 of 33, when the set is sorted by this metric, smallest first.
Four-way5.5%5.3%−0.2%Drive: position 19 of 33; Walk: position 9 of 33, when the set is sorted by this metric, smallest first.
Dead-end43.4%42.0%−1.4%Drive: position 31 of 33; Walk: position 31 of 33, when the set is sorted by this metric, smallest first.
Intersection density64 /km²71 /km²+7 /km²Drive: position 4 of 33; Walk: position 3 of 33, when the set is sorted by this metric, smallest first.
Median segment length42 m44 m+2 mDrive: position 22 of 33; Walk: position 27 of 33, when the set is sorted by this metric, smallest first.
Network length14.3 km16.9 km+2.6 kmDrive: position 3 of 33; Walk: position 3 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: 415 pairs sampled · 64 pairs unreachable.Walk: 408 pairs sampled · 69 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
2.6 km
Share of walking network
15.3%

Where these numbers come from

Drive

Nodes
235
Edges
255
Intersections (degree ≥ 3)
129
Disc area
2.01 km²
Intersection density
64 /km²
Rose weighted length
28.5 km
Per-edge circuity
1.067

Walk

Nodes
264
Edges
287
Intersections (degree ≥ 3)
143
Disc area
2.01 km²
Intersection density
71 /km²
Rose weighted length
33.7 km
Per-edge circuity
1.077

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 — Hamadi
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°2.39%2.55%0.08920.0934
015°–15°2.36%2.75%0.08850.0988
0215°–25°2.74%4.14%0.09860.1317
0325°–35°2.80%2.81%0.10010.1004
0435°–45°5.99%5.16%0.16860.1530
0545°–55°1.86%1.87%0.07400.0743
0655°–65°2.35%2.89%0.08810.1023
0765°–75°1.74%1.75%0.07050.0708
0875°–85°1.65%1.56%0.06770.0648
0985°–95°3.12%2.85%0.10820.1013
1095°–105°3.18%3.40%0.10980.1151
11105°–115°1.79%2.52%0.07200.0927
12115°–125°2.71%2.48%0.09780.0916
13125°–135°7.97%6.85%0.20150.1836
14135°–145°2.33%2.11%0.08760.0813
15145°–155°1.59%1.41%0.06570.0602
16155°–165°1.87%1.58%0.07430.0655
17165°–175°1.57%1.34%0.06530.0578
18175°–185°2.39%2.55%0.08920.0934
19185°–195°2.36%2.75%0.08850.0988
20195°–205°2.74%4.14%0.09860.1317
21205°–215°2.80%2.81%0.10010.1004
22215°–225°5.99%5.16%0.16860.1530
23225°–235°1.86%1.87%0.07400.0743
24235°–245°2.35%2.89%0.08810.1023
25245°–255°1.74%1.75%0.07050.0708
26255°–265°1.65%1.56%0.06770.0648
27265°–275°3.12%2.85%0.10820.1013
28275°–285°3.18%3.40%0.10980.1151
29285°–295°1.79%2.52%0.07200.0927
30295°–305°2.71%2.48%0.09780.0916
31305°–315°7.97%6.85%0.20150.1836
32315°–325°2.33%2.11%0.08760.0813
33325°–335°1.59%1.41%0.06570.0602
34335°–345°1.87%1.58%0.07430.0655
35345°–355°1.57%1.34%0.06530.0578
Sum = H3.4553.478

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.