Urban spatial order: street network orientation, configuration, and entropy

Boeing, Geoff

doi:10.1007/s41109-019-0189-1

Applied Network Science

Table 1 Resulting indicators for the 100 study sites

From: Urban spatial order: street network orientation, configuration, and entropy

Region	City	φ	Η _o	Η _w	ĩ	ς	k̅	P _de	P _4w
Asia/Oceania	Bangkok	0.105	3.465	3.452	64.6	1.059	2.385	0.360	0.108
	Beijing	0.335	3.177	3.206	177.5	1.053	2.985	0.135	0.241
	Hanoi	0.010	3.573	3.572	64.4	1.065	2.610	0.246	0.102
	Hong Kong	0.012	3.571	3.563	61.0	1.137	2.932	0.114	0.174
	Jakarta	0.167	3.391	3.347	52.8	1.065	2.741	0.175	0.096
	Kabul	0.076	3.499	3.510	79.3	1.062	2.673	0.226	0.130
	Karachi	0.088	3.485	3.493	71.3	1.032	3.027	0.095	0.216
	Kathmandu	0.054	3.523	3.500	63.3	1.071	2.595	0.234	0.089
	Kyoto	0.357	3.148	3.229	49.6	1.090	2.887	0.134	0.157
	Manila	0.062	3.514	3.484	63.5	1.023	3.141	0.095	0.347
	Melbourne	0.340	3.172	3.203	51.9	1.037	3.160	0.060	0.332
	Mumbai	0.075	3.499	3.476	68.9	1.081	2.705	0.211	0.136
	New Delhi	0.062	3.515	3.491	62.5	1.083	2.696	0.197	0.119
	Osaka	0.243	3.298	3.306	51.0	1.025	3.155	0.069	0.292
	Phnom Penh	0.324	3.193	3.235	81.6	1.040	2.784	0.205	0.188
	Pyongyang	0.024	3.557	3.568	132.4	1.097	2.524	0.294	0.120
	Seoul	0.009	3.573	3.573	53.5	1.048	3.011	0.101	0.205
	Shanghai	0.121	3.447	3.433	233.0	1.040	3.017	0.156	0.317
	Singapore	0.005	3.578	3.570	64.7	1.077	2.994	0.110	0.215
	Sydney	0.092	3.480	3.431	93.1	1.073	2.674	0.206	0.087
	Taipei	0.158	3.402	3.428	73.5	1.068	3.096	0.110	0.305
	Tokyo	0.050	3.528	3.529	49.6	1.046	2.950	0.119	0.186
	Ulaanbaatar	0.058	3.519	3.463	88.7	1.065	2.486	0.283	0.061
Europe	Amsterdam	0.071	3.504	3.488	65.8	1.080	2.897	0.146	0.205
	Athens	0.041	3.538	3.532	55.5	1.019	3.245	0.056	0.363
	Barcelona	0.108	3.462	3.460	78.1	1.052	3.135	0.078	0.303
	Berlin	0.011	3.572	3.570	113.1	1.040	3.002	0.118	0.259
	Budapest	0.050	3.528	3.516	93.0	1.032	3.037	0.096	0.231
	Copenhagen	0.029	3.552	3.551	78.0	1.048	2.881	0.146	0.194
	Dublin	0.024	3.557	3.541	71.5	1.061	2.492	0.279	0.068
	Glasgow	0.047	3.531	3.513	72.3	1.079	2.620	0.238	0.109
	Helsinki	0.006	3.577	3.571	42.0	1.063	2.348	0.395	0.134
	Kiev	0.014	3.568	3.554	125.1	1.053	2.813	0.164	0.160
	Lisbon	0.023	3.558	3.546	60.8	1.068	2.923	0.108	0.154
	London	0.015	3.566	3.564	70.3	1.061	2.561	0.251	0.070
	Madrid	0.019	3.562	3.553	62.5	1.050	3.079	0.065	0.210
	Moscow	0.007	3.576	3.573	130.5	1.055	2.999	0.074	0.170
	Munich	0.078	3.496	3.482	96.0	1.046	2.958	0.099	0.200
	Oslo	0.008	3.574	3.564	78.0	1.095	2.711	0.197	0.113
	Paris	0.016	3.566	3.568	71.5	1.023	3.110	0.050	0.240
	Prague	0.049	3.529	3.513	84.5	1.065	2.807	0.177	0.171
	Reykjavik	0.056	3.522	3.529	63.2	1.071	2.540	0.283	0.117
	Rome	0.005	3.578	3.578	73.7	1.070	2.820	0.161	0.145
	Sarajevo	0.039	3.540	3.558	94.7	1.133	2.522	0.270	0.078
	Stockholm	0.006	3.577	3.568	82.0	1.091	2.681	0.222	0.141
	Venice	0.017	3.564	3.553	23.2	1.090	2.474	0.300	0.073
	Vienna	0.050	3.528	3.515	90.4	1.043	2.985	0.122	0.244
	Warsaw	0.036	3.544	3.532	90.9	1.043	2.717	0.204	0.160
Latin America	Bogota	0.040	3.539	3.529	58.4	1.044	2.977	0.122	0.234
	Buenos Aires	0.151	3.411	3.423	104.8	1.011	3.548	0.027	0.576
	Caracas	0.029	3.551	3.564	95.3	1.148	2.710	0.217	0.145
	Havana	0.029	3.551	3.552	86.9	1.040	3.130	0.118	0.357
	Lima	0.278	3.254	3.228	76.7	1.017	3.161	0.040	0.331
	Mexico City	0.154	3.408	3.406	69.9	1.043	2.977	0.146	0.264
	Port au Prince	0.028	3.552	3.554	55.0	1.088	2.495	0.295	0.087
	Rio de Janeiro	0.014	3.568	3.566	74.0	1.055	2.804	0.172	0.147
	Sao Paulo	0.002	3.581	3.580	76.0	1.050	2.936	0.120	0.176
Middle East/Africa	Baghdad	0.083	3.490	3.498	68.3	1.033	3.043	0.050	0.144
	Beirut	0.206	3.344	3.308	63.9	1.026	3.061	0.072	0.218
	Cairo	0.041	3.538	3.526	66.6	1.067	2.996	0.085	0.171
	Cape Town	0.025	3.556	3.553	75.2	1.102	2.793	0.183	0.162
	Casablanca	0.094	3.477	3.461	48.0	1.048	3.026	0.080	0.178
	Damascus	0.043	3.536	3.525	65.8	1.085	2.801	0.146	0.107
	Dubai	0.031	3.550	3.529	79.7	1.087	2.925	0.074	0.073
	Istanbul	0.007	3.576	3.574	50.1	1.059	2.998	0.093	0.174
	Jerusalem	0.014	3.568	3.562	44.0	1.092	2.735	0.180	0.109
	Johannesburg	0.019	3.562	3.556	88.6	1.098	2.865	0.158	0.182
	Lagos	0.039	3.540	3.521	87.2	1.048	2.619	0.223	0.070
	Mogadishu	0.375	3.123	3.292	39.4	1.019	3.346	0.055	0.472
	Nairobi	0.014	3.568	3.556	91.8	1.083	2.506	0.279	0.075
	Tehran	0.137	3.427	3.405	52.0	1.045	2.652	0.240	0.134
US/Canada	Atlanta	0.315	3.204	3.197	112.5	1.074	2.806	0.164	0.153
	Baltimore	0.223	3.324	3.367	100.0	1.036	3.182	0.085	0.360
	Boston	0.026	3.554	3.552	77.0	1.039	2.945	0.135	0.211
	Charlotte	0.002	3.582	3.581	117.2	1.067	2.546	0.288	0.139
	Chicago	0.899	2.083	2.103	105.3	1.016	3.343	0.074	0.507
	Cleveland	0.486	2.961	2.899	103.7	1.029	2.979	0.091	0.198
	Dallas	0.305	3.218	3.182	106.1	1.042	3.120	0.091	0.317
	Denver	0.678	2.634	2.571	102.7	1.031	3.249	0.071	0.416
	Detroit	0.582	2.807	2.718	101.2	1.012	3.352	0.053	0.482
	Honolulu	0.034	3.545	3.550	101.8	1.073	2.681	0.252	0.185
	Houston	0.425	3.052	3.006	96.2	1.045	3.027	0.127	0.307
	Las Vegas	0.542	2.874	2.775	86.1	1.079	2.676	0.230	0.166
	Los Angeles	0.348	3.161	3.145	109.9	1.048	2.911	0.171	0.273
	Manhattan	0.669	2.650	2.571	82.2	1.017	3.508	0.027	0.572
	Miami	0.811	2.341	2.291	96.7	1.023	3.236	0.069	0.407
	Minneapolis	0.749	2.486	2.464	115.4	1.023	3.393	0.053	0.521
	Montreal	0.204	3.346	3.332	87.4	1.057	3.239	0.051	0.344
	New Orleans	0.123	3.444	3.457	99.6	1.035	3.378	0.077	0.526
	Orlando	0.481	2.969	2.929	100.1	1.064	2.914	0.120	0.237
	Philadelphia	0.312	3.209	3.267	83.9	1.030	3.315	0.047	0.398
	Phoenix	0.586	2.801	2.563	97.1	1.073	2.795	0.186	0.171
	Pittsburgh	0.018	3.564	3.565	94.0	1.054	2.854	0.173	0.231
	Portland	0.679	2.632	2.680	82.1	1.041	3.032	0.146	0.327
	San Francisco	0.278	3.253	3.226	94.4	1.033	3.304	0.087	0.454
	Seattle	0.723	2.542	2.474	97.2	1.028	3.107	0.136	0.369
	St Louis	0.276	3.256	3.225	107.0	1.023	3.165	0.098	0.374
	Toronto	0.474	2.980	2.885	103.1	1.090	2.994	0.109	0.217
	Vancouver	0.749	2.488	2.413	103.7	1.022	3.308	0.073	0.455
	Washington	0.377	3.121	3.113	99.5	1.038	3.252	0.065	0.370

φ is the orientation-order indicator, Η_o represents street orientation entropy, Η_w represents weighted street orientation entropy, ĩ represents median street segment length (meters), ς represents average circuity, k̅ represents average node degree, P_de represents the proportion of nodes that are dead-ends, and P_4w represents the proportion of nodes that are four-way intersections

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