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Updated description of PTAL (Public Transport Accessibility Level) from
PTAL is a measure of connectivity by public transport, which has been used in various planning processes for many years. For any selected place, PTAL suggests how well the place is connected to public transport services. It does not cover trips by car. The PTAL model calculates December 2019 public transport accessibility for every 2016 ABS Mesh Block in New South Wales. The TfNSW PTAL model is based on the Transport for London (TfL) PTAL and was adapted for TfNSW in collaboration with the Spatial Information Science team at the Department of Earth and Environmental Sciences, Macquarie University. The <a href="http://content.tfl.gov.uk/connectivity-assessment-guide.pdf">Assessing transport connectivity in London</a> explains what PTAL is, how to understand the data and more. PTAL values are simple. They range from zero to six, where the highest value represents the best connectivity. A location will have a higher PTAL if: * It is at a short walking distance to the nearest stations or stops * Waiting times at the nearest stations or stops are short * More services pass at the nearest stations or stops * There are major rail stations nearby * Any combination of all the above. Please read the PTAL documentation for more information. The format of the data is Arcgis geodatabase. Images below show an example of what the data looks like at 8:00am (first image) and 1:00am (second image). <img src="https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/PTAL%208am_0.png?itok=eCApRhM-" alt="PTAL 8am" /><img src="https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/PTAL%201am_0.png?itok=nb5DD0os" alt="PTAL 1am" />
to
PTAL is a measure of connectivity by public transport, which has been used in various planning processes for many years. For any selected place, PTAL suggests how well the place is connected to public transport services. It does not cover trips by car. The PTAL model calculates December 2019 public transport accessibility for every 2016 ABS Mesh Block in New South Wales. The TfNSW PTAL model is based on the Transport for London (TfL) PTAL and was adapted for TfNSW in collaboration with the Spatial Information Science team at the Department of Earth and Environmental Sciences, Macquarie University. The [Assessing transport connectivity in London](http://content.tfl.gov.uk/connectivity-assessment-guide.pdf) explains what PTAL is, how to understand the data and more. PTAL values are simple. They range from zero to six, where the highest value represents the best connectivity. A location will have a higher PTAL if: \* It is at a short walking distance to the nearest stations or stops \* Waiting times at the nearest stations or stops are short \* More services pass at the nearest stations or stops \* There are major rail stations nearby \* Any combination of all the above. Please read the PTAL documentation for more information. The format of the data is Arcgis geodatabase. **Images below show an example of what the data looks like at 8:00am (first image) and 1:00am (second image)**. ![PTAL 8am](https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/PTAL%208am_0.png?itok=eCApRhM-)![PTAL 1am](https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/PTAL%201am_0.png?itok=nb5DD0os)

Changed the license of PTAL (Public Transport Accessibility Level) to Creative Commons Attribution (previouslyLicense Not Specified )

Added resource PTAL Documentation to PTAL (Public Transport Accessibility Level)

Added resource PTAL December 2019 to PTAL (Public Transport Accessibility Level)

Added resource PTAL December 2020 to PTAL (Public Transport Accessibility Level)

Deleted resource PTAL December 2019 from PTAL (Public Transport Accessibility Level)

Deleted resource PTAL Documentation from PTAL (Public Transport Accessibility Level)

Deleted resource PTAL December 2020 from PTAL (Public Transport Accessibility Level)

              
    
          
          
        
        
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            n 26   "notes": "<p>PTAL is a measure of connectivity by public transport,  n 27   "notes": "PTAL is a measure of connectivity by public transport, 
            27 which has been used in various planning processes for many years. For  28 which has been used in various planning processes for many years. For 
            28 any selected place, PTAL suggests how well the place is connected to  29 any selected place, PTAL suggests how well the place is connected to 
            n 29 public transport services. It does not cover trips by car.</p>\n<p>The  n 30 public transport services. It does not cover trips by car.\n\n\nThe 
            30 PTAL model calculates December 2019 public transport accessibility for  31 PTAL model calculates December 2019 public transport accessibility for 
            31 every 2016 ABS Mesh Block in New South Wales. The TfNSW PTAL model is  32 every 2016 ABS Mesh Block in New South Wales. The TfNSW PTAL model is 
            32 based on the Transport for London (TfL) PTAL and was adapted for TfNSW  33 based on the Transport for London (TfL) PTAL and was adapted for TfNSW 
            33 in collaboration with the Spatial Information Science team at the  34 in collaboration with the Spatial Information Science team at the 
            34 Department of Earth and Environmental Sciences, Macquarie  35 Department of Earth and Environmental Sciences, Macquarie 
            n 35 University.</p>\n<p>The <a  n 36 University.\n\n\nThe [Assessing transport connectivity in 
            36 ttp://content.tfl.gov.uk/connectivity-assessment-guide.pdf\">Assessing  37 London](http://content.tfl.gov.uk/connectivity-assessment-guide.pdf) 
            37 transport connectivity in London</a> explains what PTAL is, how to  38 explains what PTAL is, how to understand the data and more.\n\n\nPTAL 
            38 understand the data and more.</p>\n<p>PTAL values are simple. They  39 values are simple. They range from zero to six, where the highest 
            39 range from zero to six, where the highest value represents the best  40 value represents the best connectivity. A location will have a higher 
            40 connectivity. A location will have a higher PTAL if:<br />\n*   It is  41 PTAL if:  \n\n\\* It is at a short walking distance to the nearest 
            41 at a short walking distance to the nearest stations or stops<br />\n*    42 stations or stops  \n\n\\* Waiting times at the nearest stations or 
            42 Waiting times at the nearest stations or stops are short<br />\n*    43 stops are short  \n\n\\* More services pass at the nearest stations or 
            43 More services pass at the nearest stations or stops<br />\n*   There  44 stops  \n\n\\* There are major rail stations nearby  \n\n\\* Any 
            44 are major rail stations nearby<br />\n*   Any combination of all the  45 combination of all the above.\n\n\nPlease read the PTAL documentation 
            45 above.</p>\n<p>Please read the PTAL documentation for more  
            46 information. The format of the data is Arcgis  46 for more information. The format of the data is Arcgis 
            47 geodatabase.</p>\n<p><strong>Images below show an example of what the  47 geodatabase.\n\n\n**Images below show an example of what the data 
            48 data looks like at 8:00am (first image) and 1:00am (second  48 looks like at 8:00am (first image) and 1:00am (second image)**.  
            49 image)</strong>.<br />\n<img  49 \n\n![PTAL 
            50 styles/panopoly_image_original/public/PTAL%208am_0.png?itok=eCApRhM-\"  50 s/panopoly_image_original/public/PTAL%208am_0.png?itok=eCApRhM-)![PTAL 
            51 alt=\"PTAL 8am\" /><img  
            52 styles/panopoly_image_original/public/PTAL%201am_0.png?itok=nb5DD0os\"  51 panopoly_image_original/public/PTAL%201am_0.png?itok=nb5DD0os)\n\n\n",
            53 alt=\"PTAL 1am\" /></p>\n", 
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            190     }, 188     },
            191     { 189     {
            192       "display_name": "accessibility", 190       "display_name": "accessibility",
            193       "id": "1dc8309d-98a0-4672-9e7c-c2bf674f5bd5", 191       "id": "1dc8309d-98a0-4672-9e7c-c2bf674f5bd5",
            194       "name": "accessibility", 192       "name": "accessibility",
            195       "state": "active", 193       "state": "active",
            196       "vocabulary_id": null 194       "vocabulary_id": null
            197     }, 195     },
            198     { 196     {
            199       "display_name": "connect", 197       "display_name": "connect",
            200       "id": "e0cbd573-7a32-43bf-bb39-70053298444a", 198       "id": "e0cbd573-7a32-43bf-bb39-70053298444a",
            201       "name": "connect", 199       "name": "connect",
            202       "state": "active", 200       "state": "active",
            203       "vocabulary_id": null 201       "vocabulary_id": null
            204     }, 202     },
            205     { 203     {
            206       "display_name": "connectivity", 204       "display_name": "connectivity",
            207       "id": "216d340d-da46-4db9-83a6-a6807b884766", 205       "id": "216d340d-da46-4db9-83a6-a6807b884766",
            208       "name": "connectivity", 206       "name": "connectivity",
            209       "state": "active", 207       "state": "active",
            210       "vocabulary_id": null 208       "vocabulary_id": null
            211     }, 209     },
            212     { 210     {
            213       "display_name": "distance", 211       "display_name": "distance",
            214       "id": "1cf68600-6074-4ae1-9eac-3c4559dcc4a1", 212       "id": "1cf68600-6074-4ae1-9eac-3c4559dcc4a1",
            215       "name": "distance", 213       "name": "distance",
            216       "state": "active", 214       "state": "active",
            217       "vocabulary_id": null 215       "vocabulary_id": null
            218     }, 216     },
            219     { 217     {
            220       "display_name": "layer", 218       "display_name": "layer",
            221       "id": "ee595e13-607c-4000-88ea-00626bfcfdcd", 219       "id": "ee595e13-607c-4000-88ea-00626bfcfdcd",
            222       "name": "layer", 220       "name": "layer",
            223       "state": "active", 221       "state": "active",
            224       "vocabulary_id": null 222       "vocabulary_id": null
            225     }, 223     },
            226     { 224     {
            227       "display_name": "measure", 225       "display_name": "measure",
            228       "id": "f80ac598-f0c3-4f4e-bae7-e027a29ecc27", 226       "id": "f80ac598-f0c3-4f4e-bae7-e027a29ecc27",
            229       "name": "measure", 227       "name": "measure",
            230       "state": "active", 228       "state": "active",
            231       "vocabulary_id": null 229       "vocabulary_id": null
            232     }, 230     },
            233     { 231     {
            234       "display_name": "nsw", 232       "display_name": "nsw",
            235       "id": "450b95c1-9ef8-43a8-8b82-222cf13cb974", 233       "id": "450b95c1-9ef8-43a8-8b82-222cf13cb974",
            236       "name": "nsw", 234       "name": "nsw",
            237       "state": "active", 235       "state": "active",
            238       "vocabulary_id": null 236       "vocabulary_id": null
            239     }, 237     },
            240     { 238     {
            241       "display_name": "public", 239       "display_name": "public",
            242       "id": "4ea08ea8-ec2b-444c-87f2-01042515056c", 240       "id": "4ea08ea8-ec2b-444c-87f2-01042515056c",
            243       "name": "public", 241       "name": "public",
            244       "state": "active", 242       "state": "active",
            245       "vocabulary_id": null 243       "vocabulary_id": null
            246     }, 244     },
            247     { 245     {
            248       "display_name": "public transport", 246       "display_name": "public transport",
            249       "id": "60ac4807-58bf-48f8-bda9-7b2624959b08", 247       "id": "60ac4807-58bf-48f8-bda9-7b2624959b08",
            250       "name": "public transport", 248       "name": "public transport",
            251       "state": "active", 249       "state": "active",
            252       "vocabulary_id": null 250       "vocabulary_id": null
            253     } 251     }
            254   ], 252   ],
            255   "title": "PTAL (Public Transport Accessibility Level)", 253   "title": "PTAL (Public Transport Accessibility Level)",
            256   "type": "dataset", 254   "type": "dataset",
            257   "unpublished": "false", 255   "unpublished": "false",
            258   "url": null, 256   "url": null,
            259   "version": null 257   "version": null
            260 } 258 }