Railway Stations in Great Britain

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Railway station locations in Great Britain

Source: National Department for Tranport national public transport access nodes  dataset licensed under the Open Government Licence v.3.0. 

Source: National Rail Enquiries station codes

README.md

Railway Stations in Great Britain

This UK Department for Transport publich the national public transport access nodes (NaPTAN) dataset with a unique identifier and location of every public transport access point in the UK. These scripts download this data and extract railway station locations in Great Britain.

Station CRS codes cross-referenced against National Rail Enquiries station code list are used to create the CRS-mismatch-report.tsv containing mismatched locations.

Creating the datafiles and associate geojson format report

Once the dependencies are met to create the report run:

$ ./prepublish

This will download and create ESRI Shape files in the shp directory for all stations locations, as well as a Leaflet JavaScript visualisation using the this data in a GeoJSON format.

Dependencies

These are environment and project dependencies.

python dependencies

For ease of use manage package python packages dependencies with a local virtual environment venv:

$ virtualenv venv
$ source venv/bin/activate
$ pip install -r requirements.txt

If missing install the python virtualenv package

$ sudo apt install virtualenv

Data License

Uses National Public Transport Access Node (NaPTAN) data under the Open Government Licence Open Street Map data is used under the Open Street Map license

get_stations.py

#!/usr/bin/env python3

import json
import geopandas as gp
import pandas as pd
from shapely.geometry import Point

pd.set_option('display.max_columns', None)

DATA = []

def get_point(this_json):
    return Point([float(this_json['Place']['Location']['Translation'][k])
                  for k in ['Longitude', 'Latitude']])

ATCOS = {}
ATCOT = {}
with open('work/StopPoint.jsonl') as fin:
    for i in fin:
        this_json = json.loads(i)
        this_code = this_json['AtcoCode']
        ATCO = this_code[:4]
        nptg = this_json['Place']['NptgLocalityRef']
        if ATCO in ['9200', '9300']:
            continue
        if ATCO not in ['9100', '9400']:
            if nptg not in ATCOS:
                ATCOS[nptg] = set()
            ATCOS[nptg].add(ATCO)
            if 'MainNptgLocalities' in this_json['Place']:
                j = this_json['Place']['MainNptgLocalities']['NptgLocalityRef']
                for k in j if isinstance(j, list) else [j]:
                    v = k['value']
                    if v in ATCOS and ATCO in ATCOS[v]:
                        continue
                    if v not in ATCOT:
                        ATCOT[v] = set()
                    ATCOT[v].add(ATCO)
        else:
            output_json = {}
            output_json['Name'] = this_json['Descriptor']['CommonName']
            output_json['Status'] = this_json['Status']
            output_json['Type'] = this_json['StopClassification']['StopType']
            output_json['Station_Name'] = output_json['Name']
            if 'OffStreet' in this_json['StopClassification']:
                output_json['TIPLOC'] = this_json['StopClassification']['OffStreet']['Rail']['AnnotatedRailRef']['TiplocRef']
                output_json['CRS'] = this_json['StopClassification']['OffStreet']['Rail']['AnnotatedRailRef']['CrsRef']
                output_json['Station_Name'] = this_json['StopClassification']['OffStreet']['Rail']['AnnotatedRailRef']['StationName']
                if 'xml:lang' in output_json['Station_Name']:
                    output_json['Station_Name'] = output_json['Station_Name']['value']
            if 'StopAreas' in this_json:
                output_json['StopAreaCode'] = this_json['StopAreas']['StopAreaRef']['value']
            output_json['AdministrativeAreaRef'] = this_json['AdministrativeAreaRef']
            output_json['code'] = this_code
            output_json['NPTG'] = nptg
            p = get_point(this_json)
            output_json['geometry'] = p
            DATA.append(output_json)

CRSDATA = pd.read_csv('station_codes.csv')

CRS = pd.DataFrame(columns=['Station_Name', 'CRS_code'])
for i in range(0, CRSDATA.shape[1], 2):
    DF1 = CRSDATA.iloc[:, i:(i+2)]
    DF1.columns = ['Station_Name', 'CRS_code']
    CRS = CRS.append(DF1).dropna()

CRS = CRS.rename(columns={'Station Name': 'Station_Name', 'CRS Code': 'CRS_code'})
CRS['Rail_Station'] = CRS['Station_Name'] + ' Rail Station'
CRS = CRS.set_index('Rail_Station').drop('Station_Name', axis=1)

STATIONS = gp.GeoDataFrame(DATA)

def get_ATCO(k):
    if k in ATCOS and ATCOS[k]:
        return list(ATCOS[k])[0][:3]
    if k in ATCOT and ATCOT[k]:
        return list(ATCOT[k])[0][:3]
    return None

STATIONS['ATCO'] = STATIONS['NPTG'].apply(get_ATCO)

STATIONS = STATIONS[STATIONS['Type'].isin(['RLY', 'MET'])]
for k in [' Railway)', ' Rly)', '(RHDR)', '(KESR)', '(Isle of Wight Steam Railway', '(Welsh Highland Rly-Caernarfon)', '(W&LLR)', '(Peak Rail)', '(Battfield Line)']:
    n = len(k)
    IDX = (STATIONS['Name'].str[-n:] == k)
    STATIONS.loc[IDX, 'Type'] = 'HRT'

STATIONS = STATIONS.join(CRS, on='Name').fillna('-')
STATIONS.to_file('shp/Stations.shp', crs='EPSG:4326')

CRS_CODES = set(CRS['CRS_code'])
STATION_CODES = set(STATIONS['CRS'])
MISMATCH = list(CRS_CODES - STATION_CODES)
CRS[CRS['CRS_code'].isin(MISMATCH)].to_csv('CRS-mismatch-report.tsv', sep='\t')

STATIONS.to_file('output-stations.json', crs='EPSG:4326', driver='GeoJSON')

index.html

<!DOCTYPE html>
<html>
    <head>
        <title>Railway Stations in GB</title>
        <meta charset="utf-8"/>
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <meta http-equiv="Cache-control" content="No-Cache">
        <link rel="shortcut icon" type="image/x-icon" href="docs/images/favicon.ico"/>
        <link rel="stylesheet" href="https://unpkg.com/[email protected]/dist/leaflet.css"
              integrity="sha512-xwE/Az9zrjBIphAcBb3F6JVqxf46+CDLwfLMHloNu6KEQCAWi6HcDUbeOfBIptF7tcCzusKFjFw2yuvEpDL9wQ==" crossorigin=""/>
        <script src="https://unpkg.com/[email protected]/dist/leaflet.js"
                integrity="sha512-gZwIG9x3wUXg2hdXF6+rVkLF/0Vi9U8D2Ntg4Ga5I5BZpVkVxlJWbSQtXPSiUTtC0TjtGOmxa1AJPuV0CPthew=="
                crossorigin=""></script>
        <script src="http://d3js.org/d3.v5.min.js"></script>
        <div id="map" style="width: 1340px; height: 780px"></div>
    </head>
    <body>
        <div id='map'></div>
        <script type="text/javascript">
         var radius = 3;
         var weight = 1;
         var linewidth = 2;
         var log2 = Math.log(2.0);
         var minZoom = 3;
         var maxZoom = 18;
         var map = L.map('map').setView([54.533, -2.53], 6);

         L.tileLayer("http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", {
             maxZoom: maxZoom,
             minZoom: minZoom,
             attribution: 'Map data &copy; <a href="https://www.openstreetmap.org/">OpenStreetMap</a> contributors, ' + '<a href="https://creativecommons.org/licenses/by-sa/2.0/">CC-BY-SA</a>, ' + 'Imagery © <a href="https://www.mapbox.com/">Mapbox</a>',
             id: 'osm.standard'
         }).addTo(map);

         d3.json("output-stations.json").then(function(d) {
             function get_colour(p) {
                 var fail = "#ff00ff";
                 if (p.Type == 'HRT')
                     return "#0de7d9"
                 if (p.Type == 'MET')
                     return "#1ab8e3"
                 if (p.Status == 'active')
                     return "#0000ff"
                 if (p.Status == 'inactive')
                     return "#00ccff"
                 return fail;
             }
             function onEachFeature(feature, layer) {
                 var this_feature = feature.properties;
                 var popupContent;
                 if (this_feature.Name)
                     popupContent = this_feature.Name;
                 var lookup = {
                     "AdministrativeAreaRef": "Admin Area",
                     "CRS": "CRS",
                     "Station_Name": "Station Name",
                     "Status": "Status",
                     "StopAreaCode": "Area Code",
                     "TIPLOC": "TIPLOC",
                     "code": "Atco Code"
                 }
                 var k = Object.keys(this_feature).filter(i=>(i != "Name" && i != "geometry" && i != "Type" && i != "is_in" && i != "z_order" && i != "CRS_code"))
                     for (var i = 0; i < k.length; i++) {
                         if (k[i] in this_feature) {
                             popupContent += '<br>' + lookup[k[i]] + ': ' + this_feature[k[i]];
                         }
                     }
                 layer.bindPopup(popupContent);
             }
             L.geoJSON(d, {
                 style: function(feature) {
                     var c = get_colour(feature.properties);
                     switch (feature.geometry.type) {
                         case 'Point':
                             return {
                                 color: c,
                                 radius: radius,
                                 weight: weight,
                                 opacity: 0.8,
                                 fillOpacity: 0.4
                             };
                         default:
                             return {
                                 colour: c,
                                 weight: weight
                             };
                     }
                 },
                 onEachFeature: onEachFeature,
                 pointToLayer: function(feature, latlng) {
                     return L.circleMarker(latlng, {
                         opacity: 1,
                         fillOpacity: 0.8
                     });
                 }
             }).addTo(map);
         });
        </script>
    </body>
</html>

LICENSE

MIT License

Copyright (c) 2020 Will Deakin

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

output-stations.json

prepublish

requirements.txt

xmltojson.py