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Indonesian street network morphology — the driving network and the walking network, measured separately for the same place.

Alam Sutera · Tangerang · New town

r = 800 m · 36 bin · Footway coverage 10.5% · thin

Alam Sutera

Tangerang · New town

A new town of curvilinear streets and a firm road hierarchy.

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

25.1 km · 142 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° · 11.3%Drive · 5°–15° · 2.8%Drive · 15°–25° · 1.5%Drive · 25°–35° · 1.2%Drive · 35°–45° · 1.1%Drive · 45°–55° · 2.8%Drive · 55°–65° · 2.0%Drive · 65°–75° · 0.2%Drive · 75°–85° · 1.4%Drive · 85°–95° · 9.6%Drive · 95°–105° · 2.4%Drive · 105°–115° · 3.2%Drive · 115°–125° · 0.9%Drive · 125°–135° · 2.0%Drive · 135°–145° · 1.3%Drive · 145°–155° · 1.9%Drive · 155°–165° · 2.1%Drive · 165°–175° · 2.6%Drive · 175°–185° · 11.3%Drive · 185°–195° · 2.8%Drive · 195°–205° · 1.5%Drive · 205°–215° · 1.2%Drive · 215°–225° · 1.1%Drive · 225°–235° · 2.8%Drive · 235°–245° · 2.0%Drive · 245°–255° · 0.2%Drive · 255°–265° · 1.4%Drive · 265°–275° · 9.6%Drive · 275°–285° · 2.4%Drive · 285°–295° · 3.2%Drive · 295°–305° · 0.9%Drive · 305°–315° · 2.0%Drive · 315°–325° · 1.3%Drive · 325°–335° · 1.9%Drive · 335°–345° · 2.1%Drive · 345°–355° · 2.6%
Drive H 3.214 · φ 0.31

Walk

31.2 km · 173 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° · 9.7%Walk · 5°–15° · 3.1%Walk · 15°–25° · 1.7%Walk · 25°–35° · 1.1%Walk · 35°–45° · 1.2%Walk · 45°–55° · 2.8%Walk · 55°–65° · 1.7%Walk · 65°–75° · 0.3%Walk · 75°–85° · 1.3%Walk · 85°–95° · 9.2%Walk · 95°–105° · 4.5%Walk · 105°–115° · 2.7%Walk · 115°–125° · 1.0%Walk · 125°–135° · 1.9%Walk · 135°–145° · 1.2%Walk · 145°–155° · 2.1%Walk · 155°–165° · 1.9%Walk · 165°–175° · 2.3%Walk · 175°–185° · 9.7%Walk · 185°–195° · 3.1%Walk · 195°–205° · 1.7%Walk · 205°–215° · 1.1%Walk · 215°–225° · 1.2%Walk · 225°–235° · 2.8%Walk · 235°–245° · 1.7%Walk · 245°–255° · 0.3%Walk · 255°–265° · 1.3%Walk · 265°–275° · 9.2%Walk · 275°–285° · 4.5%Walk · 285°–295° · 2.7%Walk · 295°–305° · 1.0%Walk · 305°–315° · 1.9%Walk · 315°–325° · 1.2%Walk · 325°–335° · 2.1%Walk · 335°–345° · 1.9%Walk · 345°–355° · 2.3%
Walk H 3.265 · φ 0.27

Delta

+6.1

km of network reachable only on foot · 19.6% of the walking network

+31
intersections per km²
−3.4%
Dead-end
+0.051
ΔH · orientation entropy

Both roses overlaid

NDrive · 355°–5° · 11.3%Drive · 5°–15° · 2.8%Drive · 15°–25° · 1.5%Drive · 25°–35° · 1.2%Drive · 35°–45° · 1.1%Drive · 45°–55° · 2.8%Drive · 55°–65° · 2.0%Drive · 65°–75° · 0.2%Drive · 75°–85° · 1.4%Drive · 85°–95° · 9.6%Drive · 95°–105° · 2.4%Drive · 105°–115° · 3.2%Drive · 115°–125° · 0.9%Drive · 125°–135° · 2.0%Drive · 135°–145° · 1.3%Drive · 145°–155° · 1.9%Drive · 155°–165° · 2.1%Drive · 165°–175° · 2.6%Drive · 175°–185° · 11.3%Drive · 185°–195° · 2.8%Drive · 195°–205° · 1.5%Drive · 205°–215° · 1.2%Drive · 215°–225° · 1.1%Drive · 225°–235° · 2.8%Drive · 235°–245° · 2.0%Drive · 245°–255° · 0.2%Drive · 255°–265° · 1.4%Drive · 265°–275° · 9.6%Drive · 275°–285° · 2.4%Drive · 285°–295° · 3.2%Drive · 295°–305° · 0.9%Drive · 305°–315° · 2.0%Drive · 315°–325° · 1.3%Drive · 325°–335° · 1.9%Drive · 335°–345° · 2.1%Drive · 345°–355° · 2.6%Walk · 355°–5° · 9.7%Walk · 5°–15° · 3.1%Walk · 15°–25° · 1.7%Walk · 25°–35° · 1.1%Walk · 35°–45° · 1.2%Walk · 45°–55° · 2.8%Walk · 55°–65° · 1.7%Walk · 65°–75° · 0.3%Walk · 75°–85° · 1.3%Walk · 85°–95° · 9.2%Walk · 95°–105° · 4.5%Walk · 105°–115° · 2.7%Walk · 115°–125° · 1.0%Walk · 125°–135° · 1.9%Walk · 135°–145° · 1.2%Walk · 145°–155° · 2.1%Walk · 155°–165° · 1.9%Walk · 165°–175° · 2.3%Walk · 175°–185° · 9.7%Walk · 185°–195° · 3.1%Walk · 195°–205° · 1.7%Walk · 205°–215° · 1.1%Walk · 215°–225° · 1.2%Walk · 225°–235° · 2.8%Walk · 235°–245° · 1.7%Walk · 245°–255° · 0.3%Walk · 255°–265° · 1.3%Walk · 265°–275° · 9.2%Walk · 275°–285° · 4.5%Walk · 285°–295° · 2.7%Walk · 295°–305° · 1.0%Walk · 305°–315° · 1.9%Walk · 315°–325° · 1.2%Walk · 325°–335° · 2.1%Walk · 335°–345° · 1.9%Walk · 345°–355° · 2.3%
Drive H 3.214 · φ 0.31Walk H 3.265 · φ 0.27
  • 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.

Alam Sutera: driving and walking network metrics, their difference, and their position among 33 sites.
MetricDriveWalkDeltaPosition among 33 sites
Orientation entropynat3.2143.265+0.051Drive: position 18 of 33; Walk: position 18 of 33, when the set is sorted by this metric, smallest first.
H / H max0.8970.911+0.014Drive: position 18 of 33; Walk: position 18 of 33, when the set is sorted by this metric, smallest first.
φ orientation-order0.3080.269−0.039Drive: position 16 of 33; Walk: position 16 of 33, when the set is sorted by this metric, smallest first.
Circuitysampled1.5851.627+0.042Drive: position 21 of 33; Walk: position 29 of 33, when the set is sorted by this metric, smallest first.
Average node degree2.302.39+0.09Drive: position 17 of 33; Walk: position 14 of 33, when the set is sorted by this metric, smallest first.
Four-way5.1%7.5%+2.4%Drive: position 15 of 33; Walk: position 18 of 33, when the set is sorted by this metric, smallest first.
Dead-end34.1%30.6%−3.4%Drive: position 22 of 33; Walk: position 27 of 33, when the set is sorted by this metric, smallest first.
Intersection density142 /km²173 /km²+31 /km²Drive: position 15 of 33; Walk: position 11 of 33, when the set is sorted by this metric, smallest first.
Median segment length28 m28 m+0 mDrive: position 2 of 33; Walk: position 12 of 33, when the set is sorted by this metric, smallest first.
Network length25.1 km31.2 km+6.0 kmDrive: position 9 of 33; Walk: position 9 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: 335 pairs sampled · 157 pairs unreachable.Walk: 357 pairs sampled · 129 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
6.1 km
Share of walking network
19.6%

Where these numbers come from

Drive

Nodes
487
Edges
559
Intersections (degree ≥ 3)
285
Disc area
2.01 km²
Intersection density
142 /km²
Rose weighted length
50.2 km
Per-edge circuity
1.051

Walk

Nodes
571
Edges
681
Intersections (degree ≥ 3)
348
Disc area
2.01 km²
Intersection density
173 /km²
Rose weighted length
62.3 km
Per-edge circuity
1.047

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 — Alam Sutera
Share of network length per 10° bearing bin, for drive and walk.
BinBearing rangeP — DriveP — Walk−P·ln P−P·ln P
00355°–5°11.29%9.71%0.24630.2264
015°–15°2.77%3.15%0.09940.1088
0215°–25°1.49%1.71%0.06280.0694
0325°–35°1.19%1.11%0.05280.0501
0435°–45°1.11%1.19%0.05000.0527
0545°–55°2.80%2.78%0.10020.0997
0655°–65°1.97%1.73%0.07730.0702
0765°–75°0.15%0.35%0.00980.0196
0875°–85°1.39%1.31%0.05950.0568
0985°–95°9.56%9.22%0.22440.2197
1095°–105°2.38%4.55%0.08900.1405
11105°–115°3.18%2.72%0.10970.0981
12115°–125°0.92%1.02%0.04320.0469
13125°–135°1.98%1.93%0.07760.0762
14135°–145°1.27%1.21%0.05550.0535
15145°–155°1.90%2.10%0.07530.0811
16155°–165°2.06%1.90%0.08000.0753
17165°–175°2.57%2.32%0.09410.0873
18175°–185°11.29%9.71%0.24630.2264
19185°–195°2.77%3.15%0.09940.1088
20195°–205°1.49%1.71%0.06280.0694
21205°–215°1.19%1.11%0.05280.0501
22215°–225°1.11%1.19%0.05000.0527
23225°–235°2.80%2.78%0.10020.0997
24235°–245°1.97%1.73%0.07730.0702
25245°–255°0.15%0.35%0.00980.0196
26255°–265°1.39%1.31%0.05950.0568
27265°–275°9.56%9.22%0.22440.2197
28275°–285°2.38%4.55%0.08900.1405
29285°–295°3.18%2.72%0.10970.0981
30295°–305°0.92%1.02%0.04320.0469
31305°–315°1.98%1.93%0.07760.0762
32315°–325°1.27%1.21%0.05550.0535
33325°–335°1.90%2.10%0.07530.0811
34335°–345°2.06%1.90%0.08000.0753
35345°–355°2.57%2.32%0.09410.0873
Sum = H3.2143.265

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.