2016
DOI: 10.1016/j.envsci.2016.01.009
|View full text |Cite
|
Sign up to set email alerts
|

Local Air Quality Management policy and practice in the UK: The case for greater Public Health integration and engagement

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
21
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 27 publications
(23 citation statements)
references
References 43 publications
(49 reference statements)
0
21
0
Order By: Relevance
“…In the UK, air quality exceedances are most clearly evidenced by the declaration of Air Quality Management Areas (AQMAs) in 250 (62%) of the UK's Local Authorities [11]. The overwhelming cause of the air quality problem is the emissions from road traffic.…”
Section: The Uk Positionmentioning
confidence: 99%
See 3 more Smart Citations
“…In the UK, air quality exceedances are most clearly evidenced by the declaration of Air Quality Management Areas (AQMAs) in 250 (62%) of the UK's Local Authorities [11]. The overwhelming cause of the air quality problem is the emissions from road traffic.…”
Section: The Uk Positionmentioning
confidence: 99%
“…In nearly every AQMA, the cause of the declaration is nitrogen dioxide, in a small number of cases the problem is PM 10 . The health impacts will vary considerably between AQMAs due to the differences in air pollution exposures but also will vary due to differences in individual and population-level susceptibilities [11].…”
Section: The Uk Positionmentioning
confidence: 99%
See 2 more Smart Citations
“…An important priority of geographic analysis has emerged as researchers have shifted from identifying static snapshots to exploring dynamic phenomena and supporting decision-and policy-making, providing early warnings, crisis management, and so on [1,2]. Dynamic phenomena usually include a series of physical or human geographic processes that change across both spatial and temporal dimensions.…”
Section: Introductionmentioning
confidence: 99%