Environmental and health impacts of transportation and land use scenarios in 2061

被引:12
|
作者
Smargiassi, Audrey [1 ,2 ,3 ]
Plante, Celine [4 ]
Morency, Patrick [1 ,2 ,4 ]
Hatzopoulou, Marianne [5 ]
Morency, Catherine [6 ]
Eluru, Naveen [7 ]
Tetreault, Louis-Francois [4 ]
Goudreau, Sophie [4 ]
Bourbonnais, Pierre Leo [6 ]
Bhowmik, Tanmoy [7 ]
Shekarrizfard, Maryam [5 ]
Iraganaboina, Naveen Chandra [7 ]
Requia, Weeberb [1 ,2 ,8 ]
机构
[1] Univ Montreal, Ctr Publ Hlth Res, Sch Publ Hlth, Montreal, PQ H3T 1A8, Canada
[2] CIUSSS Ctr Sud de lIle Montreal, Montreal, PQ H3T 1A8, Canada
[3] Quebec Inst Publ Hlth, Montreal, PQ H2P 1E2, Canada
[4] Montreal Dept Publ Hlth, Montreal, PQ H2L 1M3, Canada
[5] Univ Toronto, Dept Civil, Toronto, ON M5S 1A4, Canada
[6] Ecole Polytech Montreal, Dept Genies Civil Geol & Mines, Montreal, PQ H3T 1J4, Canada
[7] Univ Cent, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA
[8] Fundacao Getulio Vargas Brasilia, Sch Publ Policy & Govt, Brasilia, DF, Brazil
基金
加拿大健康研究院; 加拿大自然科学与工程研究理事会;
关键词
Transportation; Burden; Comparative risk assessment; Models; Air pollution; PHYSICAL-ACTIVITY; EXPOSURE; DISEASE; FUTURE; GROWTH; TRAVEL; RISK;
D O I
10.1016/j.envres.2020.109622
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We compared numbers of trips and distances by transport mode, air pollution and health impacts of a Business As Usual (BAU) and an Ideal scenario with urban densification and reductions in car share (76%-62% in suburbs; 55%-34% in urban areas) for the Greater Montreal (Canada) for 2061. We estimated the population in 87 municipalities using a demographic model and population projections. Year 2031 (Y2031) trips (from mode choice modeling) and distances were used to estimate those of Y2061. Emissions of nitrogen dioxide (NO2) and carbon dioxide (CO2) were estimated and NO2 used with dispersion modeling to estimate concentrations. Walking and Public Transit (PT) use and corresponding distances walked in Y2061 were > 70% higher for the Ideal scenario vs the BAU, while car share and distances were < 40% lower. NO2 levels were slightly lower in the Ideal scenario vs the BAU, but always higher in the urban core. Health impacts, summarized with disability adjusted life years (DALY), differed between urban and suburb areas but globally, the Ideal scenario reduced the impacts of the Y2061 BAU by 33% DALY. Percentages of car and PT trips were similar for the Y2031 and Y2061 BAU but kms travelled by car, CO2 and NO2 increased, due to increased populations. Drastic measures to decrease car share appear necessary to substantially reduce impacts of transportation.
引用
收藏
页数:8
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