Transport Performance Statistics by 200 metre grids for subset of Urban Centres in GB

<div><span style='font-size:16px; font-family:Arial, sans-serif;'>Experimental public transit transport performance statistics by 200 metre grids for a subset of urban centres in Great Britain, with the following fields</span><span style='font-size:12pt; font-family:Arial, sans-serif;'> (</span><span style='font-family:Arial, sans-serif; font-size:12pt;'>Note: These
data are experimental, please see the Methods and Known Limitations/Caveats Sections
for more details).</span></div><div><font face='Arial, sans-serif'><span style='font-size:16px;'><br /></span></font><span style='font-family:Arial, sans-serif; font-size:12pt;'><table border='0' cellpadding='0' cellspacing='0' style='margin-bottom:1.5rem; width:1004px; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial; border-collapse:collapse; border-spacing:0px; border:1px solid rgb(204, 204, 204); font-size:0.875rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;'><tbody><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(68, 114, 196); border-right:none; padding:0cm 5.4pt; width:113.15pt; border-top:1pt solid rgb(68, 114, 196); border-bottom:1pt solid rgb(68, 114, 196); border-image:initial; background:rgb(68, 114, 196);' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><b><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:white;'>Attribute</span></b></p></td><td style='border-left:none; border-right:1pt solid rgb(68, 114, 196); padding:0cm 5.4pt; width:337.65pt; border-top:1pt solid rgb(68, 114, 196); border-bottom:1pt solid rgb(68, 114, 196); border-image:initial; background:rgb(68, 114, 196);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><b><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:white;'>Description</span></b></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none; background:rgb(217, 226, 243);' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>id</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219); background:rgb(217, 226, 243);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>Unique Identifier</span></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none;' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>population</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>Global Human Settlement Layer population estimate downsampled to 200 metre (represents the total population across adjacent 100 metre cells)</span></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none; background:rgb(217, 226, 243);' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>access_pop</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219); background:rgb(217, 226, 243);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>The total population that can reach the destination cell within 45 minutes using the public transit network (origins within 11.25 kilometres of the destination cell)</span></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none;' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>proxim_pop</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>The total population within an 11.25 kilometre radius of the destination cell</span></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none; background:rgb(217, 226, 243);' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>trans_perf</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219); background:rgb(217, 226, 243);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>The transport performance of the 200 metre cell. The percentage ratio of accessible to proximal population</span></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none;' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>city_nm</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>Name of the urban centre</span></p></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204);'><td style='border-left:1pt solid rgb(142, 170, 219); border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:113.15pt; border-bottom:1pt solid rgb(142, 170, 219); border-image:initial; border-top:none; background:rgb(217, 226, 243);' valign='top' width='151'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>country_nm</span></p></td><td style='border-left:none; border-right:1pt solid rgb(142, 170, 219); padding:0cm 5.4pt; width:337.65pt; border-top:none; border-bottom:1pt solid rgb(142, 170, 219); background:rgb(217, 226, 243);' valign='top' width='450'><p style='margin:12pt 0cm 0cm;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt; color:black;'>Name of the country that the urban centre belongs to</span></p></td></tr></tbody></table></span></div><div><div><u><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><br /></span></u></div><div><u><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Methods:</span></u><br /></div><div>

<p style='margin:0cm; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>For more information please visit:</span></span></p>

<p style='margin:0cm 0cm 0cm 54pt; text-indent:0cm; font-kerning:none;'><span style='font-size:10.0pt; font-family:Symbol;'>·<span style='font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-variant-position:normal; font-stretch:normal; font-size:7pt; font-family:&quot;Times New Roman&quot;;'>        </span></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Python Package: </span></span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><a href='https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fdatasciencecampus%2Ftransport-network-performance&amp;data=05%7C02%7Canthony.shue%40ons.gov.uk%7C3d87e756a78d49ada76c08dc74bce55d%7C078807bfce824688bce00d811684dc46%7C0%7C0%7C638513601850510569%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=Opf4i6FSEHc3Db49OBPlMXjZBGw7tgodtx1dNbdE4wg%3D&amp;reserved=0' target='_blank' rel='nofollow ugc noopener noreferrer'><span><span style='color:#0563C1;'>https://github.com/datasciencecampus/transport-network-performance</span></span></a></span></p>

<p style='margin:0cm 0cm 0cm 54pt; text-indent:0cm; font-kerning:none;'><span><span style='font-size:10.0pt; font-family:Symbol;'>·<span style='font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-variant-position:normal; font-stretch:normal; font-size:7pt; font-family:&quot;Times New Roman&quot;;'>        </span></span></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Docker Image: </span></span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><a href='https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fdatasciencecampus%2Ftransport-performance-docker&amp;data=05%7C02%7Canthony.shue%40ons.gov.uk%7C3d87e756a78d49ada76c08dc74bce55d%7C078807bfce824688bce00d811684dc46%7C0%7C0%7C638513601850526695%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=nl7NAiSnRko3UYtQmdcP66M8MavIU%2Ffm4NpIMoQFTYE%3D&amp;reserved=0' target='_blank' rel='nofollow ugc noopener noreferrer'><span><span style='color:#0563C1;'>https://github.com/datasciencecampus/transport-performance-docker</span></span></a><span> </span></span></p><p style='margin:0cm 0cm 0cm 54pt; text-indent:0cm; font-kerning:none;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><span><br /></span></span></p>

<p style='margin:0cm;'><span><u><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Known
Limitations/Caveats:</span></u></span></p>

<p style='margin:0cm; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>These data are experimental – see the </span></span><span style='font-size:9.0pt; font-family:&quot;Segoe UI&quot;,sans-serif;'><a href='https://www.ons.gov.uk/methodology/methodologytopicsandstatisticalconcepts/guidetoexperimentalstatistics' target='_blank' rel='nofollow ugc noopener noreferrer'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#0563C1;'>ONS guidance on experimental statistics for more details</span></span></a></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>. They are being published at this early stage to involve potential users and stakeholders in assessing their quality and suitability. The known caveats and limitations of these experimental statistics are summarised below.</span></span></p>

<p style='margin:0cm 0cm 0cm 36pt; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><br /></span></span></p><p style='margin:0cm 0cm 0cm 36pt; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Urban Centre and Population Estimates:</span></span></p>

<p style='margin:0cm 0cm 0cm 90pt; text-indent:0cm; font-kerning:none;'><span style='font-size:10.0pt; font-family:Symbol;'>·<span style='font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-variant-position:normal; font-stretch:normal; font-size:7pt; font-family:&quot;Times New Roman&quot;;'>        </span></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Population estimates are derived from data using a hybrid method of satellite imagery and national censuses. The alignment of national census boundaries to gridded estimates introduce measurement errors, particularly in newer housing and built-up developments. See </span></span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><a href='https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhuman-settlement.emergency.copernicus.eu%2Fdocuments%2FGHSL_Data_Package_2023.pdf%3Ft%3D1698413418&amp;data=05%7C02%7Canthony.shue%40ons.gov.uk%7C3d87e756a78d49ada76c08dc74bce55d%7C078807bfce824688bce00d811684dc46%7C0%7C0%7C638513601850538574%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=WpmFemx%2B3RdOIlY53yu5QtvNSZa3v2p9FHnTZj7DMRs%3D&amp;reserved=0' target='_blank' rel='nofollow ugc noopener noreferrer'><span><span style='color:#0563C1;'>section 2.5 of the GHSL technical report release 2023A for more details</span></span></a><span>.</span></span></p>

<p style='margin:0cm 0cm 0cm 36pt; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><br /></span></span></p><p style='margin:0cm 0cm 0cm 36pt; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Public Transit Schedule Data (GTFS):</span></span></p>

<p style='margin:0cm 0cm 0cm 90pt; text-indent:0cm; font-kerning:none;'><span style='font-size:10.0pt; font-family:Symbol;'>·<span style='font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-variant-position:normal; font-stretch:normal; font-size:7pt; font-family:&quot;Times New Roman&quot;;'>        </span></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Does not include effects due to delays (such as congestion and diversions).</span></span></p>

<p style='margin:0cm 0cm 0cm 90pt; text-indent:0cm; font-kerning:none;'><span style='font-size:10.0pt; font-family:Symbol;'>·<span style='font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-variant-position:normal; font-stretch:normal; font-size:7pt; font-family:&quot;Times New Roman&quot;;'>        </span></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Common GTFS issues are resolved during preprocessing where possible, including removing trips with unrealistic </span></span><span style='font-family:Arial, sans-serif; font-size:12pt; text-indent:0cm;'>fast travel between stops, cleaning IDs, cleaning arrival/departure </span><span style='font-family:Arial, sans-serif; font-size:12pt; text-indent:0cm;'>times, route name deduplication, dropping stops with no stop times, removing </span><span style='font-family:Arial, sans-serif; font-size:12pt; text-indent:0cm;'>undefined parent stations, and dropping trips, shapes, and routes with no </span><span style='font-family:Arial, sans-serif; font-size:12pt; text-indent:0cm;'>stops. Certain GTFS cleaning steps were not possible in all instances, and in </span><span style='font-family:Arial, sans-serif; font-size:12pt; text-indent:0cm;'>those cases the impacted steps were skipped. Additional work is required to </span><span style='text-indent:0cm;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>further support GTFS validation and cleaning.</span></span><span style='text-indent:0cm;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'> </span></span></p>

<p style='margin:0cm 0cm 0cm 36pt; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><br /></span></span></p><p style='margin:0cm 0cm 0cm 36pt; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Transport Network Routing:</span></span></p>

<p style='margin:0cm 0cm 0cm 90pt; text-indent:0cm; font-kerning:none;'><span style='font-size:10.0pt; font-family:Symbol;'>·<span style='font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-variant-position:normal; font-stretch:normal; font-size:7pt; font-family:&quot;Times New Roman&quot;;'>        </span></span><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>“Trapped” centroids: the centroid of destination cells on very rare occasions falls on a private road/pathway. Routing to these cells cannot be performed. This greatly decreases the transport performance in comparison with the neighbouring cells. Potential solutions include interpolation based on neighbouring cells or snapping to the nearest public OSM node (and adjusting the travel time accordingly). Further development to adapt the method for this consideration is necessary.</span></span></p>

<p style='margin:0cm; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><br /></span></span></p><p style='margin:0cm; font-kerning:none;'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>Please also visit the Python package and Docker Image GitHub issues pages for more details.</span></span></p>

<p style='margin:0cm;'><span style='font-size:9.0pt; font-family:&quot;Segoe UI&quot;,sans-serif;'> </span></p>

<p style='margin:0cm; font-kerning:none;'><span><u><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>How to Contribute:</span></u></span></p>

<span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'>We hope that the public, other public sector organisations,
and National Statistics Institutions can collaborate and build on these data,
to help improve the international comparability of statistics and enable higher
frequency and more timely comparisons. We welcome feedback and contribution
either through GitHub or by contacting </span></span><span style='font-size:9.0pt; font-family:&quot;Segoe UI&quot;,sans-serif;'><a href='mailto:datacampus@ons.gov.uk' target='_blank' rel='nofollow ugc noopener noreferrer'><span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#0563C1;'>datacampus@ons.gov.uk</span></span></a>.</span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif;'><br /></span></div></div>

Tags: PRD_ISO, accessibility, performance, transport, urban
Organization: Office for National Statistics