{
"cells": [
{
"cell_type": "markdown",
"id": "ec4bdf5d",
"metadata": {},
"source": [
"# Noise pollution"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "0fe3ef05",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
">Last modified: 14 Aug 2025"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from IPython.display import display, Markdown\n",
"import sys\n",
"import os\n",
"sys.path.append(os.path.abspath('../../../../scripts/'))\n",
"from data_doc_helper import PlaceDataSet as DS, last_modified\n",
"last_modified()\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "389cd087",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"<div style=\"background-color: rgba(0, 178, 169, 0.3); padding: 5px; border-radius: 5px;\"><strong>UK LLC provides annual-average NO₂ and PM₂.₅ exposure data at high spatial resolution which can support health and environmental research.</strong></div>"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(Markdown('<div style=\"background-color: rgba(0, 178, 169, 0.3); padding: 5px; border-radius: 5px;\"><strong>UK LLC provides annual-average NO₂ and PM₂.₅ exposure data at high spatial resolution which can support health and environmental research.</strong></div>'))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "70a8c233",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"<div style=\"background-color: rgb(229, 106, 84, 0.3); padding: 5px; border-radius: 5px;\"><strong>More information about this dataset is available <a href=\"Understanding_noise_pollution.html\" target=\"_blank\">here.</a></strong></div>"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(Markdown('<div style=\"background-color: rgb(229, 106, 84, 0.3); padding: 5px; border-radius: 5px;\"><strong>More information about this dataset is available <a href=\"Understanding_noise_pollution.html\" target=\"_blank\">here.</a></strong></div>'))"
]
},
{
"cell_type": "markdown",
"id": "f5e5d145",
"metadata": {},
"source": [
"## Common framework for noise assessment methods (CNOSSOS-EU) noise modelling\n",
"\n",
"Modelled road-transport noise estimates are calculated in accordance to the ‘Common framework for noise assessment methods’ (CNOSSOS-EU) framework, developed by the European Commission (2002/49/EC). \n",
"\n",
"Annual Average Daily Traffic (AADT) counts and traffic speeds across the UK road-network in 2013 enter the model, along with information relating to the surface roughness of land cover, building heights, wind profiles and average temperatures. \n",
"\n",
"\n",
"## 1. Summary"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "6b0b317a",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"### traffic_noise_england_wales_hh"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(Markdown('### traffic_noise_england_wales_hh'))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a0e5b8ea",
"metadata": {
"tags": [
"remove-input",
"hide-cell"
]
},
"outputs": [
{
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" <thead>\n",
" <tr>\n",
" <th id=\"T_9a127_level0_col0\" class=\"col_heading level0 col0\" >Dataset Descriptor</th>\n",
" <th id=\"T_9a127_level0_col1\" class=\"col_heading level0 col1\" >Dataset-specific Information</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td id=\"T_9a127_row0_col0\" class=\"data row0 col0\" >Name of Dataset in TRE</td>\n",
" <td id=\"T_9a127_row0_col1\" class=\"data row0 col1\" >PLACE_traffic_noise_england_wales_hh</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row1_col0\" class=\"data row1 col0\" >Citation (APA)</td>\n",
" <td id=\"T_9a127_row1_col1\" class=\"data row1 col1\" >University of Leicester, Centre for Environmental Health and Sustainability and City St George's, University of London, Population Health Research Institute. (2025). <i>Place based data: Traffic Noise England Wales Household.</i> UK Longitudinal Linkage Collaboration (UK LLC). <a href=\"https://doi.org/10.71760/ukllc-dataset-00428-01\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.71760/ukllc-dataset-00428-01</a></td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row2_col0\" class=\"data row2 col0\" >Download Citation</td>\n",
" <td id=\"T_9a127_row2_col1\" class=\"data row2 col1\" > <a href=\"https://api.datacite.org/application/vnd.citationstyles.csl+json/10.71760/ukllc-dataset-00428-01\" rel=\"noopener noreferrer\" target=\"_blank\">Citeproc JSON</a> <a href=\"https://api.datacite.org/application/x-bibtex/10.71760/ukllc-dataset-00428-01\" rel=\"noopener noreferrer\" target=\"_blank\">BibTeX</a> <a href=\"https://api.datacite.org/application/x-research-info-systems/10.71760/ukllc-dataset-00428-01\" rel=\"noopener noreferrer\" target=\"_blank\">RIS</a></td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row3_col0\" class=\"data row3 col0\" >Owner</td>\n",
" <td id=\"T_9a127_row3_col1\" class=\"data row3 col1\" >University of Leicester and St George's, University of London</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row4_col0\" class=\"data row4 col0\" >Authors</td>\n",
" <td id=\"T_9a127_row4_col1\" class=\"data row4 col1\" >Calvin Jephcote (University of Leicester) and John Gulliver (City St George's, University of London)</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row5_col0\" class=\"data row5 col0\" >Temporal Coverage</td>\n",
" <td id=\"T_9a127_row5_col1\" class=\"data row5 col1\" >01/2013 - 12/2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row6_col0\" class=\"data row6 col0\" >Geographical Coverage</td>\n",
" <td id=\"T_9a127_row6_col1\" class=\"data row6 col1\" >England and Wales</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row7_col0\" class=\"data row7 col0\" >Participant Count</td>\n",
" <td id=\"T_9a127_row7_col1\" class=\"data row7 col1\" >30470</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row8_col0\" class=\"data row8 col0\" >Number of Variables</td>\n",
" <td id=\"T_9a127_row8_col1\" class=\"data row8 col1\" >15</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row9_col0\" class=\"data row9 col0\" >Number of Observations</td>\n",
" <td id=\"T_9a127_row9_col1\" class=\"data row9 col1\" >89103</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row10_col0\" class=\"data row10 col0\" >Key Link</td>\n",
" <td id=\"T_9a127_row10_col1\" class=\"data row10 col1\" > <a href=\" https://guidebook.ukllc.ac.uk/docs/linked_geo_data/place_based_intro\" rel=\"noopener noreferrer\" target=\"_blank\"> https://guidebook.ukllc.ac.uk/docs/linked_geo_data/place_based_intro</a></td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row11_col0\" class=\"data row11 col0\" >Keywords</td>\n",
" <td id=\"T_9a127_row11_col1\" class=\"data row11 col1\" >noise,pollution,geospatial,environmental,transport</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row12_col0\" class=\"data row12 col0\" >Latest Extract Date</td>\n",
" <td id=\"T_9a127_row12_col1\" class=\"data row12 col1\" >TBC</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row13_col0\" class=\"data row13 col0\" >Specific Restrictions to Data Use</td>\n",
" <td id=\"T_9a127_row13_col1\" class=\"data row13 col1\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_9a127_row14_col0\" class=\"data row14 col0\" >Build a Data Request</td>\n",
" <td id=\"T_9a127_row14_col1\" class=\"data row14 col1\" > <a href=\"https://explore.ukllc.ac.uk/\" rel=\"noopener noreferrer\" target=\"_blank\">https://explore.ukllc.ac.uk/</a></td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x1f4e35c9010>"
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"metadata": {},
"output_type": "execute_result"
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],
"source": [
"DS(\"traffic_noise_england_wales_hh\").info_table()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "749d3522",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"### traffic_noise_england_wales_pc"
],
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"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
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"display(Markdown('### traffic_noise_england_wales_pc'))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "dc35de10",
"metadata": {
"tags": [
"remove-input",
"hide-cell"
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{
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" <th id=\"T_289ce_level0_col1\" class=\"col_heading level0 col1\" >Dataset-specific Information</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
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" <td id=\"T_289ce_row0_col0\" class=\"data row0 col0\" >Name of Dataset in TRE</td>\n",
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" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row1_col0\" class=\"data row1 col0\" >Citation (APA)</td>\n",
" <td id=\"T_289ce_row1_col1\" class=\"data row1 col1\" >University of Leicester, Centre for Environmental Health and Sustainability and City St George's, University of London, Population Health Research Institute. (2025). <i>Place based data: Traffic Noise England Wales Postcode.</i> UK Longitudinal Linkage Collaboration (UK LLC). <a href=\"https://doi.org/10.71760/ukllc-dataset-00429-01\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.71760/ukllc-dataset-00429-01</a></td>\n",
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" <tr>\n",
" <td id=\"T_289ce_row2_col0\" class=\"data row2 col0\" >Download Citation</td>\n",
" <td id=\"T_289ce_row2_col1\" class=\"data row2 col1\" > <a href=\"https://api.datacite.org/application/vnd.citationstyles.csl+json/10.71760/ukllc-dataset-00429-01\" rel=\"noopener noreferrer\" target=\"_blank\">Citeproc JSON</a> <a href=\"https://api.datacite.org/application/x-bibtex/10.71760/ukllc-dataset-00429-01\" rel=\"noopener noreferrer\" target=\"_blank\">BibTeX</a> <a href=\"https://api.datacite.org/application/x-research-info-systems/10.71760/ukllc-dataset-00429-01\" rel=\"noopener noreferrer\" target=\"_blank\">RIS</a></td>\n",
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" <td id=\"T_289ce_row3_col0\" class=\"data row3 col0\" >Owner</td>\n",
" <td id=\"T_289ce_row3_col1\" class=\"data row3 col1\" >University of Leicester and St George's, University of London</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row4_col0\" class=\"data row4 col0\" >Authors</td>\n",
" <td id=\"T_289ce_row4_col1\" class=\"data row4 col1\" >Calvin Jephcote (University of Leicester) and John Gulliver (City St George's, University of London)</td>\n",
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" <td id=\"T_289ce_row6_col0\" class=\"data row6 col0\" >Geographical Coverage</td>\n",
" <td id=\"T_289ce_row6_col1\" class=\"data row6 col1\" >England and Wales</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row7_col0\" class=\"data row7 col0\" >Participant Count</td>\n",
" <td id=\"T_289ce_row7_col1\" class=\"data row7 col1\" >24036</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row8_col0\" class=\"data row8 col0\" >Number of Variables</td>\n",
" <td id=\"T_289ce_row8_col1\" class=\"data row8 col1\" >15</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row9_col0\" class=\"data row9 col0\" >Number of Observations</td>\n",
" <td id=\"T_289ce_row9_col1\" class=\"data row9 col1\" >38079</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row10_col0\" class=\"data row10 col0\" >Key Link</td>\n",
" <td id=\"T_289ce_row10_col1\" class=\"data row10 col1\" > <a href=\" https://guidebook.ukllc.ac.uk/docs/linked_geo_data/place_based_intro\" rel=\"noopener noreferrer\" target=\"_blank\"> https://guidebook.ukllc.ac.uk/docs/linked_geo_data/place_based_intro</a></td>\n",
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" <td id=\"T_289ce_row11_col0\" class=\"data row11 col0\" >Keywords</td>\n",
" <td id=\"T_289ce_row11_col1\" class=\"data row11 col1\" >noise,pollution,geospatial,environmental,transport</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row12_col0\" class=\"data row12 col0\" >Latest Extract Date</td>\n",
" <td id=\"T_289ce_row12_col1\" class=\"data row12 col1\" >TBC</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row13_col0\" class=\"data row13 col0\" >Specific Restrictions to Data Use</td>\n",
" <td id=\"T_289ce_row13_col1\" class=\"data row13 col1\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_289ce_row14_col0\" class=\"data row14 col0\" >Build a Data Request</td>\n",
" <td id=\"T_289ce_row14_col1\" class=\"data row14 col1\" > <a href=\"https://explore.ukllc.ac.uk/\" rel=\"noopener noreferrer\" target=\"_blank\">https://explore.ukllc.ac.uk/</a></td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
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},
{
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"id": "9bbe23fb",
"metadata": {
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},
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{
"data": {
"text/markdown": [
"### traffic_noise_england_wales_hh"
],
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]
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" <th id=\"T_53c46_level0_col1\" class=\"col_heading level0 col1\" >Dataset-specific Information</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td id=\"T_53c46_row0_col0\" class=\"data row0 col0\" >Name of Dataset in TRE</td>\n",
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" <tr>\n",
" <td id=\"T_53c46_row1_col0\" class=\"data row1 col0\" >Citation (APA)</td>\n",
" <td id=\"T_53c46_row1_col1\" class=\"data row1 col1\" >University of Leicester, Centre for Environmental Health and Sustainability and City St George's, University of London, Population Health Research Institute. (2025). <i>Place based data: Traffic Noise England Wales Household.</i> UK Longitudinal Linkage Collaboration (UK LLC). <a href=\"https://doi.org/10.71760/ukllc-dataset-00428-01\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.71760/ukllc-dataset-00428-01</a></td>\n",
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" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row3_col0\" class=\"data row3 col0\" >Owner</td>\n",
" <td id=\"T_53c46_row3_col1\" class=\"data row3 col1\" >University of Leicester and St George's, University of London</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row4_col0\" class=\"data row4 col0\" >Authors</td>\n",
" <td id=\"T_53c46_row4_col1\" class=\"data row4 col1\" >Calvin Jephcote (University of Leicester) and John Gulliver (City St George's, University of London)</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row5_col0\" class=\"data row5 col0\" >Temporal Coverage</td>\n",
" <td id=\"T_53c46_row5_col1\" class=\"data row5 col1\" >01/2013 - 12/2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row6_col0\" class=\"data row6 col0\" >Geographical Coverage</td>\n",
" <td id=\"T_53c46_row6_col1\" class=\"data row6 col1\" >England and Wales</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row7_col0\" class=\"data row7 col0\" >Participant Count</td>\n",
" <td id=\"T_53c46_row7_col1\" class=\"data row7 col1\" >30470</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row8_col0\" class=\"data row8 col0\" >Number of Variables</td>\n",
" <td id=\"T_53c46_row8_col1\" class=\"data row8 col1\" >15</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row9_col0\" class=\"data row9 col0\" >Number of Observations</td>\n",
" <td id=\"T_53c46_row9_col1\" class=\"data row9 col1\" >89103</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row10_col0\" class=\"data row10 col0\" >Key Link</td>\n",
" <td id=\"T_53c46_row10_col1\" class=\"data row10 col1\" > <a href=\" https://guidebook.ukllc.ac.uk/docs/linked_geo_data/place_based_intro\" rel=\"noopener noreferrer\" target=\"_blank\"> https://guidebook.ukllc.ac.uk/docs/linked_geo_data/place_based_intro</a></td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row11_col0\" class=\"data row11 col0\" >Keywords</td>\n",
" <td id=\"T_53c46_row11_col1\" class=\"data row11 col1\" >noise,pollution,geospatial,environmental,transport</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row12_col0\" class=\"data row12 col0\" >Latest Extract Date</td>\n",
" <td id=\"T_53c46_row12_col1\" class=\"data row12 col1\" >TBC</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row13_col0\" class=\"data row13 col0\" >Specific Restrictions to Data Use</td>\n",
" <td id=\"T_53c46_row13_col1\" class=\"data row13 col1\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_53c46_row14_col0\" class=\"data row14 col0\" >Build a Data Request</td>\n",
" <td id=\"T_53c46_row14_col1\" class=\"data row14 col1\" > <a href=\"https://explore.ukllc.ac.uk/\" rel=\"noopener noreferrer\" target=\"_blank\">https://explore.ukllc.ac.uk/</a></td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x1f4e362c690>"
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"execution_count": 9,
"metadata": {},
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"source": [
"DS(\"traffic_noise_england_wales_hh\").info_table()"
]
},
{
"cell_type": "markdown",
"id": "10547426",
"metadata": {},
"source": [
"## 2. Variables"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "35dfd0a3",
"metadata": {
"tags": [
"remove-input"
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{
"data": {
"text/markdown": [
"### traffic_noise_england_wales_pc"
],
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"<IPython.core.display.Markdown object>"
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"source": [
"display(Markdown('### traffic_noise_england_wales_pc'))"
]
},
{
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"execution_count": 11,
"id": "17887a22",
"metadata": {
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{
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" <th id=\"T_d2553_level0_col1\" class=\"col_heading level0 col1\" >Variable</th>\n",
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" <td id=\"T_d2553_row0_col0\" class=\"data row0 col0\" >Identifier</td>\n",
" <td id=\"T_d2553_row0_col1\" class=\"data row0 col1\" >cohortkey_e</td>\n",
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" <td id=\"T_d2553_row0_col3\" class=\"data row0 col3\" >LPS</td>\n",
" <td id=\"T_d2553_row0_col4\" class=\"data row0 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row1_col0\" class=\"data row1 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row1_col1\" class=\"data row1 col1\" >address_start_date</td>\n",
" <td id=\"T_d2553_row1_col2\" class=\"data row1 col2\" >Address start date</td>\n",
" <td id=\"T_d2553_row1_col3\" class=\"data row1 col3\" >LPS</td>\n",
" <td id=\"T_d2553_row1_col4\" class=\"data row1 col4\" >None</td>\n",
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" <tr>\n",
" <td id=\"T_d2553_row2_col0\" class=\"data row2 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row2_col1\" class=\"data row2 col1\" >address_end_date</td>\n",
" <td id=\"T_d2553_row2_col2\" class=\"data row2 col2\" >Address end date</td>\n",
" <td id=\"T_d2553_row2_col3\" class=\"data row2 col3\" >LPS</td>\n",
" <td id=\"T_d2553_row2_col4\" class=\"data row2 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row3_col0\" class=\"data row3 col0\" >UK LLC</td>\n",
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" <td id=\"T_d2553_row3_col3\" class=\"data row3 col3\" >UK LLC</td>\n",
" <td id=\"T_d2553_row3_col4\" class=\"data row3 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row4_col0\" class=\"data row4 col0\" >Noise</td>\n",
" <td id=\"T_d2553_row4_col1\" class=\"data row4 col1\" >laeq16</td>\n",
" <td id=\"T_d2553_row4_col2\" class=\"data row4 col2\" >A-weighted equivalent noise level (Leq) over 16-hour day period (23:00-07:00)</td>\n",
" <td id=\"T_d2553_row4_col3\" class=\"data row4 col3\" >City St George's, University of London</td>\n",
" <td id=\"T_d2553_row4_col4\" class=\"data row4 col4\" >2013</td>\n",
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" <tr>\n",
" <td id=\"T_d2553_row5_col0\" class=\"data row5 col0\" >Noise</td>\n",
" <td id=\"T_d2553_row5_col1\" class=\"data row5 col1\" >lday</td>\n",
" <td id=\"T_d2553_row5_col2\" class=\"data row5 col2\" >A-weighted equivalent noise level (Leq) over 12-hour day period (07:00-19:00)</td>\n",
" <td id=\"T_d2553_row5_col3\" class=\"data row5 col3\" >City St George's, University of London</td>\n",
" <td id=\"T_d2553_row5_col4\" class=\"data row5 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row6_col0\" class=\"data row6 col0\" >Noise</td>\n",
" <td id=\"T_d2553_row6_col1\" class=\"data row6 col1\" >lden</td>\n",
" <td id=\"T_d2553_row6_col2\" class=\"data row6 col2\" >A-weighted equivalent noise level (Leq) over a whole day with a penalty of +10dB(A) for night and +5dB(A) for evening</td>\n",
" <td id=\"T_d2553_row6_col3\" class=\"data row6 col3\" >City St George's, University of London</td>\n",
" <td id=\"T_d2553_row6_col4\" class=\"data row6 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row7_col0\" class=\"data row7 col0\" >Noise</td>\n",
" <td id=\"T_d2553_row7_col1\" class=\"data row7 col1\" >leve</td>\n",
" <td id=\"T_d2553_row7_col2\" class=\"data row7 col2\" >A-weighted equivalent noise level (Leq) over 4-hour evening period (19:00-23:00)</td>\n",
" <td id=\"T_d2553_row7_col3\" class=\"data row7 col3\" >City St George's, University of London</td>\n",
" <td id=\"T_d2553_row7_col4\" class=\"data row7 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row8_col0\" class=\"data row8 col0\" >Noise</td>\n",
" <td id=\"T_d2553_row8_col1\" class=\"data row8 col1\" >lnight</td>\n",
" <td id=\"T_d2553_row8_col2\" class=\"data row8 col2\" >A-weighted equivalent noise level (Leq) over 8-hour night period (23:00-07:00)</td>\n",
" <td id=\"T_d2553_row8_col3\" class=\"data row8 col3\" >City St George's, University of London</td>\n",
" <td id=\"T_d2553_row8_col4\" class=\"data row8 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row9_col0\" class=\"data row9 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row9_col1\" class=\"data row9 col1\" >lsoa11_e</td>\n",
" <td id=\"T_d2553_row9_col2\" class=\"data row9 col2\" >Lower layer super output area (LSOA) encrypted</td>\n",
" <td id=\"T_d2553_row9_col3\" class=\"data row9 col3\" >Office of National Statistics</td>\n",
" <td id=\"T_d2553_row9_col4\" class=\"data row9 col4\" >2011</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_d2553_row10_col0\" class=\"data row10 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row10_col1\" class=\"data row10 col1\" >matchcode</td>\n",
" <td id=\"T_d2553_row10_col2\" class=\"data row10 col2\" >Experian match code indicator</td>\n",
" <td id=\"T_d2553_row10_col3\" class=\"data row10 col3\" >University of Leicester</td>\n",
" <td id=\"T_d2553_row10_col4\" class=\"data row10 col4\" >None</td>\n",
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" <tr>\n",
" <td id=\"T_d2553_row11_col0\" class=\"data row11 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row11_col1\" class=\"data row11 col1\" >msoa11_e</td>\n",
" <td id=\"T_d2553_row11_col2\" class=\"data row11 col2\" >Middle super output area (LSOA) encrypted</td>\n",
" <td id=\"T_d2553_row11_col3\" class=\"data row11 col3\" >Office of National Statistics</td>\n",
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" <td id=\"T_d2553_row12_col0\" class=\"data row12 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row12_col1\" class=\"data row12 col1\" >postcode_e</td>\n",
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" <td id=\"T_d2553_row12_col4\" class=\"data row12 col4\" >None</td>\n",
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" <td id=\"T_d2553_row13_col0\" class=\"data row13 col0\" >Geography</td>\n",
" <td id=\"T_d2553_row13_col1\" class=\"data row13 col1\" >region</td>\n",
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" <td id=\"T_d2553_row14_col1\" class=\"data row14 col1\" >uprn_e</td>\n",
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},
{
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"id": "83766c0d",
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{
"data": {
"text/markdown": [
"### traffic_noise_england_wales_hh"
],
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]
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{
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"id": "20f3222a",
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{
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" <td id=\"T_97f80_row1_col0\" class=\"data row1 col0\" >Geography</td>\n",
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" <td id=\"T_97f80_row1_col3\" class=\"data row1 col3\" >LPS</td>\n",
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" <tr>\n",
" <td id=\"T_97f80_row2_col0\" class=\"data row2 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row2_col1\" class=\"data row2 col1\" >address_end_date</td>\n",
" <td id=\"T_97f80_row2_col2\" class=\"data row2 col2\" >Address end date</td>\n",
" <td id=\"T_97f80_row2_col3\" class=\"data row2 col3\" >LPS</td>\n",
" <td id=\"T_97f80_row2_col4\" class=\"data row2 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row3_col0\" class=\"data row3 col0\" >UK LLC</td>\n",
" <td id=\"T_97f80_row3_col1\" class=\"data row3 col1\" >avail_from_dt</td>\n",
" <td id=\"T_97f80_row3_col2\" class=\"data row3 col2\" >None</td>\n",
" <td id=\"T_97f80_row3_col3\" class=\"data row3 col3\" >UK LLC</td>\n",
" <td id=\"T_97f80_row3_col4\" class=\"data row3 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row4_col0\" class=\"data row4 col0\" >Noise</td>\n",
" <td id=\"T_97f80_row4_col1\" class=\"data row4 col1\" >laeq16</td>\n",
" <td id=\"T_97f80_row4_col2\" class=\"data row4 col2\" >A-weighted equivalent noise level (Leq) over 16-hour day period (23:00-07:00)</td>\n",
" <td id=\"T_97f80_row4_col3\" class=\"data row4 col3\" >University of Leicester, City St George's, University of London</td>\n",
" <td id=\"T_97f80_row4_col4\" class=\"data row4 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row5_col0\" class=\"data row5 col0\" >Noise</td>\n",
" <td id=\"T_97f80_row5_col1\" class=\"data row5 col1\" >lday</td>\n",
" <td id=\"T_97f80_row5_col2\" class=\"data row5 col2\" >A-weighted equivalent noise level (Leq) over 12-hour day period (07:00-19:00)</td>\n",
" <td id=\"T_97f80_row5_col3\" class=\"data row5 col3\" >University of Leicester, City St George's, University of London</td>\n",
" <td id=\"T_97f80_row5_col4\" class=\"data row5 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row6_col0\" class=\"data row6 col0\" >Noise</td>\n",
" <td id=\"T_97f80_row6_col1\" class=\"data row6 col1\" >lden</td>\n",
" <td id=\"T_97f80_row6_col2\" class=\"data row6 col2\" >A-weighted equivalent noise level (Leq) over a whole day with a penalty of +10dB(A) for night and +5dB(A) for evening</td>\n",
" <td id=\"T_97f80_row6_col3\" class=\"data row6 col3\" >University of Leicester, City St George's, University of London</td>\n",
" <td id=\"T_97f80_row6_col4\" class=\"data row6 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row7_col0\" class=\"data row7 col0\" >Noise</td>\n",
" <td id=\"T_97f80_row7_col1\" class=\"data row7 col1\" >leve</td>\n",
" <td id=\"T_97f80_row7_col2\" class=\"data row7 col2\" >A-weighted equivalent noise level (Leq) over 4-hour evening period (19:00-23:00)</td>\n",
" <td id=\"T_97f80_row7_col3\" class=\"data row7 col3\" >University of Leicester, City St George's, University of London</td>\n",
" <td id=\"T_97f80_row7_col4\" class=\"data row7 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row8_col0\" class=\"data row8 col0\" >Noise</td>\n",
" <td id=\"T_97f80_row8_col1\" class=\"data row8 col1\" >lnight</td>\n",
" <td id=\"T_97f80_row8_col2\" class=\"data row8 col2\" >A-weighted equivalent noise level (Leq) over 8-hour night period (23:00-07:00)</td>\n",
" <td id=\"T_97f80_row8_col3\" class=\"data row8 col3\" >University of Leicester, City St George's, University of London</td>\n",
" <td id=\"T_97f80_row8_col4\" class=\"data row8 col4\" >2013</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row9_col0\" class=\"data row9 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row9_col1\" class=\"data row9 col1\" >lsoa11_e</td>\n",
" <td id=\"T_97f80_row9_col2\" class=\"data row9 col2\" >Lower layer super output area (LSOA) encrypted</td>\n",
" <td id=\"T_97f80_row9_col3\" class=\"data row9 col3\" >Office of National Statistics</td>\n",
" <td id=\"T_97f80_row9_col4\" class=\"data row9 col4\" >2011</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row10_col0\" class=\"data row10 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row10_col1\" class=\"data row10 col1\" >matchcode</td>\n",
" <td id=\"T_97f80_row10_col2\" class=\"data row10 col2\" >Experian match code indicator</td>\n",
" <td id=\"T_97f80_row10_col3\" class=\"data row10 col3\" >University of Leicester</td>\n",
" <td id=\"T_97f80_row10_col4\" class=\"data row10 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row11_col0\" class=\"data row11 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row11_col1\" class=\"data row11 col1\" >msoa11_e</td>\n",
" <td id=\"T_97f80_row11_col2\" class=\"data row11 col2\" >Middle super output area (LSOA) encrypted</td>\n",
" <td id=\"T_97f80_row11_col3\" class=\"data row11 col3\" >Office of National Statistics</td>\n",
" <td id=\"T_97f80_row11_col4\" class=\"data row11 col4\" >2011</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row12_col0\" class=\"data row12 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row12_col1\" class=\"data row12 col1\" >postcode_e</td>\n",
" <td id=\"T_97f80_row12_col2\" class=\"data row12 col2\" >Postcode encrypted</td>\n",
" <td id=\"T_97f80_row12_col3\" class=\"data row12 col3\" >LPS</td>\n",
" <td id=\"T_97f80_row12_col4\" class=\"data row12 col4\" >None</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row13_col0\" class=\"data row13 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row13_col1\" class=\"data row13 col1\" >region</td>\n",
" <td id=\"T_97f80_row13_col2\" class=\"data row13 col2\" >UK Region </td>\n",
" <td id=\"T_97f80_row13_col3\" class=\"data row13 col3\" >Office of National Statistics</td>\n",
" <td id=\"T_97f80_row13_col4\" class=\"data row13 col4\" >2011</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_97f80_row14_col0\" class=\"data row14 col0\" >Geography</td>\n",
" <td id=\"T_97f80_row14_col1\" class=\"data row14 col1\" >uprn_e</td>\n",
" <td id=\"T_97f80_row14_col2\" class=\"data row14 col2\" >Unique Property Reference Number (UPRN) encrypted</td>\n",
" <td id=\"T_97f80_row14_col3\" class=\"data row14 col3\" >University of Leicester</td>\n",
" <td id=\"T_97f80_row14_col4\" class=\"data row14 col4\" >None</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x1f4e362ce10>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DS(\"traffic_noise_england_wales_hh\").variable_table()"
]
},
{
"cell_type": "markdown",
"id": "4705ea18",
"metadata": {},
"source": [
"## 3. Metrics"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "66756281",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"TBC"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(Markdown('TBC'))"
]
},
{
"cell_type": "markdown",
"id": "992091a7",
"metadata": {},
"source": [
"## 4. Version History"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "69571d0d",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"TBC"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(Markdown('TBC'))"
]
},
{
"cell_type": "markdown",
"id": "0acfb062",
"metadata": {},
"source": [
"## 5. Documentation"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "b5a900e4",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"We are currently building a documentation storage system which will host useful documents related to datasets and data owners. We will surface these documents on Guidebook."
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"DS(\"traffic_noise_england_wales_hh\").documentation()"
]
},
{
"cell_type": "markdown",
"id": "1cf8b659",
"metadata": {},
"source": [
"## 5. Useful Syntax"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "c1392740",
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/markdown": [
"Below we will include syntax that may be helpful to other researchers in the UK LLC TRE. For longer scripts, we will include a snippet of the code plus a link to the [UK LLC GitHub](https://github.com/UKLLC) repository where you can find the full scripts."
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"DS(\"traffic_noise_england_wales_hh\").useful_syntax()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "jupbook",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.2"
},
"mystnb": {
"code_prompt_hide": "Hide Information",
"code_prompt_show": "Show Information"
}
},
"nbformat": 4,
"nbformat_minor": 5
}