Improving traffic-related air pollution estimates by modelling minor road traffic volumes

Author:

Alvarado-Molina MiguelORCID,Curto AriadnaORCID,Wheeler Amanda J.,Tham RachelORCID,Cerin EsterORCID,Nieuwenhuijsen Mark,Vermeulen Roel,Donaire-Gonzalez DavidORCID

Funder

Gobierno de España Ministerio de Ciencia e Innovación

Australian Catholic University

Generalitat de Catalunya

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference32 articles.

1. Census QuickStats: Melbourne (UCL). Melbourne Code UCL201001 (UCL),2016

2. ABS. 2016b. Main Features - Statistical Area Level 1 (SA1). https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/1270.0.55.001∼July%202016∼Main%20Features∼Statistical%20Area%20Level%201%20(SA1)∼10013 (accessed 2022-10-17).

3. Melbourne, Census All Persons QuickStats,2021

4. LTNs for All? Mapping the Extent of London's New Low Traffic Neighbourhoods;Aldred,2020

5. Estimating traffic volume on Wyoming low volume roads using linear and logistic regression methods;Apronti;J. Traffic Transp. Eng. Engl. Ed.,2016

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