Appendix 1 – Environmental Baseline Data/Maps
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Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario Condition Natural 88% (Target 51.23% favourable, 46.05% Countywide The plan includes schemes to SSSIs (Sites of England set by the unfavourable and recovering • Countywide - 52.05% favourable, encourage sustainable Special Hertford- (2017) 45.38% unfavourable and transport. These schemes will Scientific https://design shire recovering (most recent data reduce the likelihood of Interest) atedsites.natu Environment available) damage from poor air quality ralengland.org al Forum GTP Area (most recent data and vehicular damage. .uk/SiteSearch (HEF) 2008 available) .aspx (p46)) • Bricket Wood Common SSSI – Unfavourable recovering/no change • Croxley Common Moor SSSI – Unfavourable recovering • Moor Mill Quarry West SSSI – Unfavourable no change • Roughdown Common SSSI – Favourable • Whippendell Wood SSSI – Favourable Trees and District/ No target set - Dacorum: Unlimited traffic growth would Woodland Borough 33,000 trees maintained by council have negative impacts on local Council (10,000 on highways) woodland with poor air quality websites 127 hectares of woodland (19 and high noise levels impacting (Dacorum, woodlands, Tring woods SSSI, Howe on species and habitats. Watford, Grove LNR, Shrub Hill Common LNR) Three Rivers) Watford: 11,000 trees maintained by council on highways and in parks 506 hectares of woodland Three Rivers: 240 hectares of woodland (Oxhey Woods LNR) Page 91 Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario Rivers: Environment Catchment None • Bad: 2 The GTP is not expected to Number of Agency data targets • Poor: 4 affect the ecological status of water bodies for the Colne by 2027: 1 • Moderate: 20 rivers in the area. However, ecological Catchment bad, 1 poor, • Good: 0 without the plan, there is likely status (Colne 9 moderate, • High: 0 to be a greater reliance on car Catchment) 15 good travel and more traffic as a (2016) result of development, which could affect rivers through urban runoff. Rivers: urban Environment None None 56 out of 200 total (2016) Without the plan, there is likely and transport Agency data to be a greater realiance on car reason for not for the Colne travel and more traffic as a achieving Catchment result of development, which good status could have greater effect on (Colne rivers through urban runoff Catchment) and pollution or water courses. Number of HCC/Police No more Three Rivers: 6 (2016), 3 • Three Rivers: 4 The plan includes road safety children STATS19 data than 42 (2017) • Dacorum: 1 schemes which seek to reduce killed and (2015-16) Dacorum: 2 (2016), 6 (2017) • Watford: 3 the risk of people being killed seriously Watford: 4 (2016), 6 (2017) • St Albans: 3 or seriously injured in the area. injured in St Albans: 3 (2016), 2 (2017) • Hertfordshire: 32 It is likely more children would road traffic Hertfordshire: 41 (2016), 38 (2018) be killed or injured without accidents (2017) these schemes. Number of HCC/Police 413 (The Three Rivers: 31 (2016), 31 • Three Rivers: 51 Without the road safety people killed STATS19 data target is (2017) • Dacorum: 49 schemes included in the plan it or seriously HCC/Police steady- Dacorum: 62 (2016), 45 • Watford: 27 is likely more people would be injured on STATS19 data Countywide (2017) • St Albans: 71 killed or seriously injured on roads in the target) Watford: 34 (2016), 36 (2017) • Hertfordshire: 444 the areas roads. authority St Albans: 63 (2016), 41 (2018) (2017) Page 92 Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario Hertfordshire: 458 (2016), 410 (2017) Number of HCC/Police Slight Three Rivers: 242 (2016), 218 • Three Rivers: 289 Without the road safety Slight Injuries STATS19 data Casualties (2017) • Dacorum: 201 schemes included in the plan it (all ages) 3543 Dacorum: 276 (2016), 291 • Watford: 155 is likely more people in the (2017) • St Albans: 348 area would be involved in Watford: 279 (2016), 213 • Hertfordshire: 2437 incidents causing slight (2017) (2018) injuries. St Albans: 468 (2016), 386 (2017) Hertfordshire: 3192 (2016), 2657 (2017) Percentage of Traffic & 83% - 81% (2018/19) * Without the road safety compliance of Transport (2020/21) schemes included in the plan it speed limits Data Report 84% is likely more people in the (2025/26) area would be involved in 85% incidents. (2030/31) % of All trips Hertfordshire 3% 2.7% (2015) 2% (2019) A number of cycle route (under 3 Travel Survey (2015/16) 2.2% (2016) improvements are included in miles) made 2018 Report 3% (2019) the plan. Without these by cycling schemes it is likely the number of people cycling in the area would not increase. % of all trips Hertfordshire 64% (2015 - 62.6% (2015) 76.6% (2019) A number of pedestrian route (under 1 Traffic and 16) 76.5% (2016) improvements are included in mile) made Transport 68% (2019) the plan. Without these by walking Data Report schemes it is likely the number 2018 of people walking in the area would not increase. Page 93 Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario Childhood National Child No target set • Countywide - Reception: • Countywide - Reception: 19.4%. The plan seeks to facilitate Obesity Measurement 19.3%. Year 6: Year 6: 28.6%(2018/19) sustainable transport in a reception age Programme – 28.6%(2017/18) • St Albans – Reception: 18.0%. Year number of locations. Without and year 6 England • St Albans – Reception: 6: 22.0% (2018/19). this facilitation of sustainable tables: 16.6%. Year 6: 21.4% • Dacorum – Reception: 20.3%. Year and healthy travel choices the Table 2_R (2017/18). 6: 29.1% (2018/19). trend of increasing childhood Table 2_6 • Dacorum – Reception: • Three Rivers – Reception: 20.3% . obesity may worsen. This Table 3a_R 21.4%. Year 6: 30.8% Year 6: 26.6% (2018/19). would particularly affect areas Table 3a_6 (2017/18). • Watford – Reception: 17.8%. Year where levels of obesity are • Three Rivers – 6: 33.9% (2018/19). already above county averages Reception:19.1% . Year 6: such as Watford. 30.6% (2017/18). • Watford – Reception: 19.1%. Year 6: 31.4% (2017/18). Number of Cycle Lead No target set 4536 (2016) 6012 (2019) Without the creation of new people Officer cycle infrastructure in the area achieving it is likely that less people level 2 of the would pursue level 2 National National Cycle Training due to Cycling inadequate facilities. Training Standards Conditions of Highway Panel 26% 26%(2010), 47.3% (2012) Surveys completed to date 78% were Without the plan’s proposed Footways - % Paper April (2015/16) category 1: “As New”, 14 % were footway improvements there where 2015 category 2: “Aesthetically Impaired”, may be less people utilising the maintenance 8% were category 3: “Functionally footpaths. There would also be should be Impaired” and 1% were category 4: a higher risk of accidents. considered “Structurally Unsound” (April 2015) No Recent Data (2019) Page 94 Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario The data collection method was changed a few years ago, the current collection cycle means HCC get around the whole footway network in about 2 ½ years and, ideally, HCC want at least two complete cycles to check that the new method is stable and repeatable. First data reported possibly 2021. % of the total HCC 78% 72% (2015/16) 77% (2019/20) A lack of pedestrian crossing length of Dashboard improvements would further footpaths indicator reduce the public’s access to and other EN53 footpaths and other Rights of Rights of Way (Countryside Way. that were management easy to use Team leader) by members of the public Hertfordshire CMS 800 (17/18) 991 (Q3 17/18) 4233 (2019/20) Without the plan’s Health Walks (Countryside 4316 (18/19) improvements to walking - walks led Management Three Rivers: 505 infrastructure there would be Service) Watford: 288 more barriers to promoting (Dashboard PI Dacorum: 672 walking in the area. number is ENV49) % of the Local No target set - 5.1% (2016) Countywide Figure The plan’s work to improve population Government access to sustainable transport exposed to Association – The data is collected every 5 years will prevent unconstrained road, rail, and LG inform through the national noise mapping traffic growth. Unconstrained air transport (source public programme, next data due 2021. traffic growth would have noise of 65dB health negative impacts on local noise (A) or more pollution. Page 95 Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario during the outcomes daytime. framework) Complaints Stansted No target set Luton: 15,384 (2017) Luton: 8275 (2019) from Aircraft Noise Stansted: 4170 (2016) Stansted: 15,389 (2019) Noise Complaints Stansted: 8395 (2017) Report Stansted: 14,566 (2018) Luton Annual Monitoring Report Number of Defra No target set Countywide: • Countywide: 17 HCC and 11 The plan seeks to implement AQMAs in Or latest 14 HCC, 11 Highways England Highways England (2019) schemes which will help to Herts Traffic & (2015) • St Albans: 3 AQMA’s (Peahen, combat air pollution in the Transport 19 HCC and 14 Highways Hemel Hempstead Road and area. If not addressed, poor air Data Report England (2017) Frogmore) quality can lead to health • Dacorum: 3 AQMA’s (Hemel problems and overall reduced Hempstead, Apsley and quality of life. Northchurch) • Three Rivers: 4 AQMA’s (Chorleywood NO2 and PM10, Chandlers Cross and Kings Langley) • Watford: 2 AQMA’s (Vicarage Road, Pinner Road) Page 96 Appendix 1: Baseline Data Indicator Source Target Previous data (Date) Most Current data (date) ‘Without the Plan’ scenario Annual mean District < 40µg/m³ Countywide figures: • Dacorum: (2018, roadside The plan seeks to implement nitrogen Council 35µg/m³ (2012) averages) schemes which will help to dioxide levels websites / 38µg/m³ (2014) Lawn Lane, Hemel – 39.8 µg/m³ combat air pollution.