2e:null 2f:["$","title",null,{"children":"LFB Response Times in Tower Hamlets | Save our Safer Streets | Observable"}] 34:T799,# LFB Response Times in Tower Hamlets ## London Fire Brigade Response Times in Tower Hamlets before and after the Low Traffic Neighbourhoods In its most recent *Incident Response Time Report* ([2020](https://data.london.gov.uk/dataset/incident-response-times-fire-facts)), the London Fire Brigade (LFB) said: > "... we haven't yet noticed any impact on our attendance times due to the LTN (low traffic neighbourhood) schemes established in 2020" (p. 2) ### What we did We wanted to follow up on LFB's statement to see whether the most recent data supports it. In particular, we wanted to see if the LTNs have impacted fire service response times in Tower Hamlets. ### How we did it We've based our analysis on Tower Hamlets' LTNs being operational from 1st June 2021 — though some of the new road layouts were being modified well after this date. We looked at overall response times across the borough, but concentrated our attention on those wards where LTNs have been installed: *Bow West*, *Spitalfields and Banglatown*, *St Katherine's and Wapping*, and *St Peter's and Weavers*. For the data and analysis, we used LFB's response to our Freedom of Information request (PDF) and LFB's own response-time records publicly available at the [London Data Store](https://data.london.gov.uk/dataset/london-fire-brigade-incident-records). Altogether, the available response time data starts from 1 Jan 2019 and runs to 30 June 2022. *Disclaimer: This analysis was done by volunteers working with the [Save Our Safer Streets campaign](https://heartbg.uk). Where possible, we've sought advice and comment from third parties with relevant experience or expertise. We ask that Tower Hamlets council undertake professional and verified analysis to understand the impacts of the LTNs and to determine the borough's needs and how best to serve its communities.*35:T42b,responseTimesPlot = Plot.plot({ color: { type: "categorical", //legend: true, domain: ["Before-6-month", "Before", "After", "After-6-month"], range: ["dark-gray", "dark-gray", "green", "green"] //tickFormat: (d) => d.split("-")[0] //scheme: "grays", }, x: { type: "time", label: "time and day of emergency services call →", grid: true, thresholds: "d3.utcMonth", tickFormat: d3.utcFormat("%b %y") }, y: { type: "utc", //domain: [0,1200000], tickFormat: d3.utcFormat("%M:%S"), label: "↑ response times (mins:secs)" }, marks: [ // Response times before LTNs were operational Plot.dot(responseTimes, { x: "utcTimeOfCall", y: "ResponseTime-millisecs", //filter: (d) => +d.Month < +operationalDate, r: 1, fillOpacity: 0.4, fill: "Period" }), // Average reponse time Plot.ruleY([meanResposeTimeMS], {stroke: "red", strokeOpacity: 0.5, strokeWidth: 2, inset:17}), ], insetBottom: 20, marginBottom: 50, height: 480, inset: 20 })36:T6f7,meanResponseTimesPlot = Plot.plot({ x: { type: "time", label: "month →", grid: true, thresholds: "d3.utcMonth", tickFormat: d3.utcFormat("%b %y") }, y: { type: "time", domain: [0,380000], tickFormat: d3.utcFormat("%M:%S"), label: "↑ average response times (mins:secs)" }, marks: [ Plot.line( responseTimes, Plot.binX( { y: "mean" }, { x: "utcTimeOfCall", y: "ResponseTime-millisecs", //fill: "black", strokeOpacity: 0.4, strokeWeight: 0.1, stroke: "black", thresholds: d3.utcMonth } ) ), //Plot.dot(E2ResponseTimes, Plot.binX({ y: "mean" }, {x: "utcTimeOfCall", y: "ResponseTime-millisecs", fill: "red", fillOpacity: 0.4, thresholds: d3.utcMonth})), // plotting average response times before the LTNs were operational Plot.dot( responseTimes, Plot.binX( { y: "mean" }, { x: "utcTimeOfCall", y: "ResponseTime-millisecs", filter: (d) => d.WardName === wardMonthAverage && +d.Month < +operationalDate, fill: "red", fillOpacity: 0.3, thresholds: d3.utcMonth } ) ), // Plotting verage response times after the LTNs were operational Plot.dot( responseTimes, Plot.binX( { y: "mean" }, { x: "utcTimeOfCall", y: "ResponseTime-millisecs", filter: (d) => d.WardName === wardMonthAverage && +d.Month >= +operationalDate, fill: "red", fillOpacity: 1, thresholds: d3.utcMonth } ) ), ], //marginLeft: 100, width: 640, height: 480, inset: 20, insetBottom: 20, marginBottom: 50 })37:T54e,

	Before (Jan-Jun 2019)		After (Jan-Jun 2022)
	Number of calls	Average response time (min:sec)	Number of calls	Average response time (min:sec)	Change (sec)
Bow West	70	5:31	65	5:19	↓ 12
Spitalfields & Banglatown	144	4:29	152	4:03	↓ 26
St Katherine’s and Wapping	55	5:00	64	4:28	↓ 32
St Peter’s	136	4:09	149	4:10	↑ 1
Weavers	108	4:34	116	4:20	↓ 14
LTN Wards (aggregate)	513	4:36	546	4:20	↓ 16
Tower Hamlets	1846	4:32	2269	4:31	↓ 1

38:T5f2,beforeAfterResponseTimes1 = Plot.plot({ x: { label: "", domain: ["Before-6-month", "After-6-month"], tickFormat: (d) => d.split("-")[0] }, y: { label: wardBeforeAfter + " " + "Response times ↑ (secs)", grid: true, inset: 3, type: "utc", tickFormat: d3.utcFormat("%M:%S"), domain: [0,380000] }, color: { type: "categorical", scheme: "pastel2" }, marks: [ // Average response time for all TH Plot.ruleY(responseTimes, { y: meanResposeTimeMS, x1: "Period", x2: "Period", stroke: "red", strokeWidth: 0.5, strokeOpacity: 0.1 }), // Average response times for specificied ward before and after LTNs Plot.barY(ltnWardResponseTimes, Plot.groupX( {y: "mean"}, { x: "Period", y: "ResponseTime-millisecs", sort: null, fill: "Period", fillOpacity: 0.3, filter: (d) => d.WardName === wardBeforeAfter })), // Average response times before and after LTNs Plot.dotY(responseTimes, Plot.groupX( {y: "mean"}, { x: "Period", y: "ResponseTime-millisecs", stroke: "Period", strokeOpacity: 1, fill: "black", strokeWidth: 3, r: 4, })) ], marginLeft: 50, // space to the left of the chart marginBottom: 30, // space below the chart insetBottom: 33, // space between the x-axis and the marks insetLeft: 5, width: 240 })39:T500, Plot.plot({ y: { //tickFormat: (d) => d.split("-")[0], label: "Ward", //type: "point", //domain: ["BOW WEST", "SPITALFIELDS & BANGLATOWN", "ST. KATHARINE'S & WAPPING", "ST. PETER'S", "WEAVERS"], tickFormat: (d) => d,//.toLowerCase(), }, x: { label: "↑ Response time (secs)", labelPadding: 15, //grid: true, inset: 6, type: "utc", tickFormat: d3.utcFormat("%M:%S"), domain: [0,830000], //tickPadding: 15, }, marks: [ Plot.ruleX( ltnWardResponseTimes, { stroke: "red", x: meanResposeTimeBeforeSixMonths, x1: "WardName", x2: "WardName", strokeWidth: 3, strokeOpacity: 0.01, inset: 8 }), Plot.tickX(ltnWardResponseTimes, { x: "ResponseTime-millisecs", y: "WardName", filter: (d) => d.Period === "Before-6-month", stroke: "WardName", strokeWidth: 0.8, strokeOpacity: 0.6, inset: 4 }) ], color: { type: "categorical", scheme: "set2", //range: ["purple", "orange", "yellow", "blue", "pink"] //legend: true, //tickFormat: (d) => d3.utcFormat("%b")(d), //columns: "50px" }, width: 1024, height: 280, marginLeft: 200, marginBottom: 40, insetBottom: 3, })3a:T4fe, Plot.plot({ y: { //tickFormat: (d) => d.split("-")[0], label: "Ward", //type: "point", //domain: ["BOW WEST", "SPITALFIELDS & BANGLATOWN", "ST. KATHARINE'S & WAPPING", "ST. PETER'S", "WEAVERS"], tickFormat: (d) => d,//.toLowerCase(), }, x: { label: "↑ Response time (secs)", labelPadding: 15, //grid: true, inset: 6, type: "utc", tickFormat: d3.utcFormat("%M:%S"), domain: [0,830000], //tickPadding: 15, }, marks: [ Plot.ruleX( ltnWardResponseTimes, { stroke: "red", x: meanResposeTimeAfterSixMonths, x1: "WardName", x2: "WardName", strokeWidth: 3, strokeOpacity: 0.01, inset: 8 }), Plot.tickX(ltnWardResponseTimes, { x: "ResponseTime-millisecs", y: "WardName", filter: (d) => d.Period === "After-6-month", stroke: "WardName", strokeWidth: 0.8, strokeOpacity: 0.6, inset: 4 }) ], color: { type: "categorical", scheme: "set2", //range: ["purple", "orange", "yellow", "blue", "pink"] //legend: true, //tickFormat: (d) => d3.utcFormat("%b")(d), //columns: "50px" }, width: 1024, height: 280, marginLeft: 200, marginBottom: 40, insetBottom: 3, })3b:[{"id":"f98745bd2d40d140708e282072a537df0ecf645bfebaac602ca05f3c54bef664683e2ae2ac5fd272cfd7b773b90a6013f580fd2b25d99ea28855a42d43a5469c","href":"https://static.observableusercontent.com/files/f98745bd2d40d140708e282072a537df0ecf645bfebaac602ca05f3c54bef664683e2ae2ac5fd272cfd7b773b90a6013f580fd2b25d99ea28855a42d43a5469c","name":"FSB-TH-response-times@2.csv","type":"text/csv","lastModified":1661531938111.588,"size":2428777},{"id":"35cb91eafe2e4610f0e4f50710e5866c32d3d697e2ce186bbee026b55d55a95f2b4bd9e5827be6f81309f4253fc88224f80de0ed4cdaa8fe8a6821a8188075a0","href":"https://static.observableusercontent.com/files/35cb91eafe2e4610f0e4f50710e5866c32d3d697e2ce186bbee026b55d55a95f2b4bd9e5827be6f81309f4253fc88224f80de0ed4cdaa8fe8a6821a8188075a0","name":"FOI-66751_LFB_2022-08-22.pdf","type":"application/pdf","lastModified":1661938254146.859,"size":157532}] 32:{"id":"7dd5552ebfd9478f","slug":"lfb-response-times-in-tower-hamlets","title":"LFB Response Times in Tower Hamlets","thumbnail":"9d7f94536439351193843c095a509482bd6fa484f21d42183ea96a8621e2e3d8","access_level":"public","create_time":"$D2022-08-06T21:26:10.316Z","update_time":"$D2022-10-02T14:22:08.616Z","view_time":null,"first_public_time":"$D2022-11-13T09:36:54.240Z","fork":false,"stars":2,"starred":false,"owner":{"type":"team","id":"b2e8b22fd64f7967","login":"soss","name":"Save our Safer Streets","avatar_url":"https://avatars-next.observableusercontent.com/e586d4e6a8d1d3fbcc013290d7cc4d7072a949900c98f1ebe27f5d1605a32952","tier":"starter_2024"},"version":1397,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"f2f890c11c9e8ce2","login":"soss","name":"Save our Safer Streets","avatar_url":"https://avatars-next.observableusercontent.com/e586d4e6a8d1d3fbcc013290d7cc4d7072a949900c98f1ebe27f5d1605a32952","tier":null}],"members":[{"type":"individual","id":"f2f890c11c9e8ce2","login":"soss","name":"Save our Safer Streets","avatar_url":"https://avatars-next.observableusercontent.com/e586d4e6a8d1d3fbcc013290d7cc4d7072a949900c98f1ebe27f5d1605a32952","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":3,"collection":null,"type":"notebook","body":{"title":"LFB Response Times in Tower Hamlets","cells":[{"id":0,"value":"$34","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1257,"value":"

\n \n

Key Results

On average, fire appliance response times fall by 16 seconds after the new road layouts: We compared periods before and after the LTN installations. We found the average reponse time for wards with LTNs fell by 16 seconds or by 5% of the borough's overall response time.\n

\n\n

Looking at individual wards with LTNs, there are no statistically significant changes in fire appliance response times: In each ward where LTNs have been installed, we used a test known as a t-test to check whether there were statistical differences between periods before and after the LTNs . The results of this analysis indicate there were no statistical differences in response times. In other words, LTNs did not lead to increases in fire appliance response times.

\n \n

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1195,"value":"## All fire appliance responses in Tower Hamlets\nTo show how we reached the conclusions in our key results, let's start with the data we've worked with. \n\nIn the bar graph below, we can see monthly fire appliance call-outs for each ward between 1 Jan 2019 to 30 June 2022.\n\nDifferent colours indicate the different categories of response: false alarms (pink), fire (blue) and special services (green).\n\n> *Choose from the drop down menu below to see the number of call-outs in different wards.*\n\n> *To compare the responses in the selected ward to the 14,122 call-outs in the borough as a whole, check the \"Include comparison with borough\" check box. Grey bars will show total responses in the borough per month.*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1130,"value":"viewof wardSelect1 = Inputs.select(wardsAll, {label: \"Choose a Ward\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1158,"value":"viewof boroughCompare = Inputs.toggle({label: \"Include comparison with borough:\", value: \"\", values: [\"Tower Hamlets\", \"\"]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1109,"value":"Plot.plot({\n color: {\n type: \"categorical\",\n legend: true,\n scheme: \"pastel1\",\n legend: \"ramp\"\n },\n y: {\n label: \"↑ No. of responses in\" + \" \" + wardSelect1,\n grid: true\n },\n x: {\n label: \"Month and Year →\",\n thresholds: \"d3.utcMonth\",\n tickFormat: d3.utcFormat(\"%b-%y\")\n },\n marks: [\n Plot.rectY(responseTimes, Plot.binX({y: \"count\" }, {x: \"Month\", filter: (d) => d.Borough === boroughCompare, fill: \"Gray\", opacity: 0.2})),\n Plot.rectY(responseTimes, Plot.binX({y: \"count\" }, {x: \"Month\", filter: (d) => d.WardName === wardSelect1, fill: \"IncidentGroup\"})),\n Plot.ruleY([0])\n ],\n marginBottom: 45,\n marginTop: 35,\n insetLeft: 5\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":542,"value":"## All response times in Tower Hamlets\n\nNow let's look at response times. The graph below plots response times to all LFB calls in Tower Hamlets between 1 Jan 2019 and 30 June 2022.\n\nGray indicates response times before and green after the new road layouts were operational (i.e., before and after 1 July 2021).\n\nThe horizontal red line shows the average (mean) response times for all calls across Tower Hamlets: 4 minutes, 31 seconds.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":12,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":890,"value":"Though there are a lot of data points, it looks like the pattern of response times stays fairly constant.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":630,"value":"## Average response times per month in each ward\n\nTo make this a bit simpler to see, we've calculated the average (mean) response times each month for every ward in Tower Hamlets. \n\nThe black line shows the monthly averages for the whole borough.\n\nThe red dots are the average response times each month between 1 Jan 2019 and 30 June 2022.\n\nThe darker red dots indicate average response times after the new road layouts were operational (i.e., after 1 July 2021).\n\n> *Use the drop down menu below to choose a ward.*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":600,"value":"viewof wardMonthAverage = Inputs.select(wardsAll, {label: \"Choose a Ward\"})\n\n//viewof ward = Inputs.select(ltnWardResponseTimes, {label: \"Ward\", format: x => x.WardName.toLowerCase(), value: ltnWardResponseTimes.find(t => t.WardName === \"Bow West\")})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":99,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":887,"value":"From this graph, it's clear that some wards have response times that regularly fall above monthly averages (for Tower Hamlets). These include Blackwall and Cubitt Town, Bow East, Bow West, Bromley North, Bromley South, and so on. There are also wards that regularly have response times lower that the borough's monthly average. These include Bethnal Green, Canary Wharf, Shadwell, Spitalfields and Banglatown, and so on.\n\nIt's notable that most wards don't seem to have big changes over time. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":654,"value":"## Comparisons before and after the new road layouts\nTo make comparisons between response times before and after the new road layouts, we compared like-for-like periods before and after the new road layouts.\n\nAgain, we made comparisons for the five wards where the new road layouts have been installed: Bow West, Spitalfields and Banglatown, St Katherine's and Wapping, St Peter's and Weavers.\n\nComparisons were made between the average response times in the first six months of 2019 (January-June) and the first six months of 2022 (January-June).\n\nThe table below presents a summary of the results.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1026,"value":"$37","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1031,"value":"Below, we've plotted graphs of this data for each ward. Select the ward you want to view from the drop down menu.\n\nThe pink bar is the average response time before the LTNs for the selected ward. \n\nThe orange bar is the average response time after the LTNs, again, for the selected ward.\n\nFor context, the horizontal red line is the average response time for the entire borough (using all the data between Jan 2019 and June 2022). The black dots are borough-wide response times for the before and after periods. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":375,"value":"viewof wardBeforeAfter = Inputs.select([\"BOW WEST\", \"SPITALFIELDS & BANGLATOWN\", \"ST. KATHARINE'S & WAPPING\", \"ST. PETER'S\", \"WEAVERS\"], {label: \"Choose a Ward\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":903,"value":"$38","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1024,"value":"In the above table and graphs, you'll see that in all but *St Peter's* ward, the average response times have been lower since the LTNs were installed. In *St Peter's*, there was a one second increase in the average between like-for-like periods.\n\nIn all cases, the change in average response times were a matter of seconds. The biggest differences were for *Spitalfields and Banglatown* and *St Katherine’s and Wapping*, with falls of 26 and 32 seconds respectively.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1043,"value":"## Test for significant differences between periods\n\nTo test whether there are significant differences between the before and after response times in each ward we ran a statistical test called a *t-test*. \n\nThe table below presents the results of this analysis. The t-test probability or *p-value* measures the likelihood of response times from the two periods being statistically different. If a *p-value* is less 0.05 then we would say there is a statistically significant difference in the two periods' response times.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1045,"value":"\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n

	Average response time before Jan-Jun 2019	Average response time after Jan-Jun 2022	t-test probability
Bow West	5:31	5:19	0.51
St Katherine’s and Wapping	5:00	4:28	0.2
St Peter’s	4:09	4:10	0.92
Spitalfields & Banglatown	4:29	4:03	0.08
Weavers	4:34	4:20	0.22
Tower Hamlets	4:33	4:32	0.73

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1056,"value":"You'll see from the results above that the *p-value* is greater than 0.05 for every ward. \n\nThus, we can say that there are no significant differences in response times before and after the LTNs. \n\nIn other words the *LTNs made no difference to fire appliance response times in any of the wards*.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1254,"value":"## See more analysis\n- [Ambulance response times](https://i.heartbg.uk/LAS-response-time-analysis)\n- [Air quality analysis](https://i.heartbg.uk/air-quality-analysis)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":682,"value":"## Appendix","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":783,"value":"Average (mean) response time for all fire appliance calls:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":707,"value":"meanResposeTime = d3.utcFormat(\"%M:%S\")(d3.mean(responseTimes, d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1350,"value":"meanResposeTimeMS = d3.mean(responseTimes, d => d[\"ResponseTime-millisecs\"])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":788,"value":"Average (mean) response time for January to June 2019, before the new road layouts:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":777,"value":"meanResposeTimeBeforeSixMonths = d3.utcFormat(\"%M:%S\")(d3.mean(responseTimesBeforeSixMonths, d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1267,"value":"meanResposeTimeLTNBeforeSixMonths = d3.utcFormat(\"%M:%S\")(d3.mean(ltnWardResponseTimes.filter(d => d.Period === \"Before-6-month\"), d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1307,"value":"resposesLTNBeforeSixMonths1 = (d3.count(ltnWardResponseTimes.filter(d => d.Period === \"Before-6-month\"), d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1311,"value":"resposesLTNAfterSixMonths = (d3.count(ltnWardResponseTimes.filter(d => d.Period === \"After-6-month\"), d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":794,"value":"Average (mean) response time for January to June 2022, after the new road layouts:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":791,"value":"meanResposeTimeAfterSixMonths = d3.utcFormat(\"%M:%S\")(d3.mean(responseTimesAfterSixMonths, d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1273,"value":"meanResposeTimeLTNAfterSixMonths = d3.utcFormat(\"%M:%S\")(d3.mean(ltnWardResponseTimes.filter(d => d.Period === \"After-6-month\"), d => d[\"ResponseTime-millisecs\"]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":799,"value":"Array of all wards in Tower Hamlets:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":616,"value":"wardsAll = [\"BETHNAL GREEN\", \"BLACKWALL & CUBITT TOWN\", \"BOW EAST\", \"BOW WEST\", \"BROMLEY NORTH\", \"BROMLEY SOUTH\", \"CANARY WHARF\", \"ISLAND GARDENS\", \"LANSBURY\", \"LIMEHOUSE\", \"MILE END\", \"POPLAR\", \"SHADWELL\", \"SPITALFIELDS & BANGLATOWN\", \"ST. DUNSTAN'S\", \"ST. KATHARINE'S & WAPPING\", \"ST. PETER'S\", \"STEPNEY GREEN\", \"WEAVERS\", \"WHITECHAPEL\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1287,"value":"wardsLTNs = [\"BOW WEST\", \"SPITALFIELDS & BANGLATOWN\", \"ST. KATHARINE'S & WAPPING\", \"ST. PETER'S\", \"WEAVERS\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"responseTimes = FileAttachment(\"FSB-TH-response-times@2.csv\").csv({typed: true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":212,"value":"responseTimesMinusE2 = responseTimes.filter(d => d.Postcode_district !== \"E2\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":767,"value":"responseTimesBeforeSixMonths = responseTimes.filter(d => d.Period === \"Before-6-month\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":770,"value":"responseTimesAfterSixMonths = responseTimes.filter(d => d.Period === \"After-6-month\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":475,"value":"ltnWardResponseTimes = responseTimes.filter(d => d.WardName === \"BOW WEST\" || d.WardName === \"SPITALFIELDS & BANGLATOWN\" || d.WardName === \"ST. KATHARINE'S & WAPPING\" || d.WardName === \"ST. PETER'S\" || d.WardName === \"WEAVERS\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":172,"value":"E2ResponseTimes = responseTimes.filter(d => d.Postcode_district === \"E2\") // Array for E2 response times","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":176,"value":"weaversResponseTimes = responseTimes.filter(d => d.WardName === \"WEAVERS\") // Array for Weaver response times","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":179,"value":"stPetersResponseTimes = responseTimes.filter(d => d.WardName === \"ST. PETER'S\") // Array for St Peter's response times","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":161,"value":"operationalDate = new Date('2021-07-01') // Assumed date LTNs installed","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":688,"value":"formatMillisecond = d3.timeParse(\".%L\");","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":812,"value":"### Response times for wards with LTNs\n\nTo look specifically for any changes in response times due to the new road layouts, we've plotted the response times for wards with LTNs: Bow West, Spitalfields and Banglatown, St Katherine's and Wapping, St Peter's and Weavers. \n\nThe first graph, below, is for response times in each ward for January to June 2019, so before the LTNs. The red line is the average for Tower Hamlets in the same period.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":312,"value":"$39","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":893,"value":"We see here that the five boroughs in question have a variation in response times but these do cluster around the borough's average and even have a tendency to fall below it.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":859,"value":"This second graph is for response times in each of the wards with LTNs, for January to June 2022. Again, the red line is the average for Tower Hamlets in the same period.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":853,"value":"$3a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":898,"value":"There appears very little change between the two graphs. Let's look at this per ward below.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"}],"files":"$W3b","stdlib":"1","titling":"auto"}} 33:"$32:body"