Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing

Hove, Annelies Van den; Verwaeren, Jan; Bossche, Joris Van den; Theunis, Jan; Baets, Bernard De

doi:10.1016/j.envres.2019.108619

Cited by 32 publications

(7 citation statements)

References 25 publications

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“…Urban BC sources and mixing mechanisms thus vary spatially [13], which is not well captured by stationary air quality measurements [14,15]. Mobile monitoring more accurately captures public exposure to urban air pollution, providing a foundation for more effective mitigation measures [16]. Mobile campaigns have stressed that both adults and children may receive ~20% of their BC dose while commuting, even though it only represents 6% of daily activities [17,18].…”

Section: Introductionmentioning

confidence: 99%

Black Carbon along a Highway and in a Residential Neighborhood during Rush-Hour Traffic in a Cold Climate

Andradóttir,

Hjartardóttir,

Thorsteinsson

2024

Atmosphere

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Short-term exposure to ultra-fine Black Carbon (BC) particles produced during incomplete fuel combustion of wood and fossil fuel has been linked to respiratory and cardiovascular diseases, hospitalizations and premature deaths. The goal of this research was to assess traffic-related BC in a cold climate along an urban highway and 300 m into an adjacent residential neighborhood. BC was measured with an aethalometer (MA350, Aethlabs) along the main traffic artery in geothermally heated Reykjavík, the capital of Iceland (64.135° N–21.895° W, 230,000 inhabitants). Stationary monitoring confirmed that traffic was the dominant source of roadside BC in winter, averaging 1.0 ± 1.1 µg/m3 (0.6 and 1.1 µg/m3 median and interquartile range; 28,000 vehicles/day). Inter-day variations in BC were primarily correlated to the atmospheric lapse rate and wind speed, both during stationary and mobile campaigns. During winter stills, BC levels surpassed 10 µg/m3 at intersections and built up to 5 µg/m3 during the afternoon in the residential neighborhood (adjacent to the highway with 43,000 vehicles/day). The BC penetrated deeply into the neighborhood, where the lowest concentration was 1.8 µg/m3 within 300 m. BC concentration was highly correlated to nitrogen dioxide (r > 0.8) monitored at the local Urban Traffic Monitoring site.

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Section: Introductionmentioning

confidence: 99%

Black Carbon along a Highway and in a Residential Neighborhood during Rush-Hour Traffic in a Cold Climate

Andradóttir,

Hjartardóttir,

Thorsteinsson

2024

Atmosphere

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“…Improved access to environmental data has also provided opportunities to evaluate how different travel-related exposure types might amplify or balance the impacts of each other [38]. In addition, the development of environmentally sensitive route-planning tools has supported population-level and multiple exposure assessments from travel by enabling researchers to assess the individual exposure load from certain routes and compare them with alternatively chosen routes [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach

et al. 2023

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Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes’ potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach’s feasibility by analysing cyclists’ air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities.

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“…Most routing studies on exposure optimisation have focused on finding low-exposure routes in respect to air pollution [e.g., 4,5,[11][12][13][14]. Other studies that optimise routes also consider traffic noise levels or the presence of greenery [6,8,[15][16][17], allergens [18], or extreme environmental conditions [19,20].…”

Section: Introductionmentioning

confidence: 99%

The Green Paths Route Planning Software for Exposure-Optimised Active Travel

Helle,

Poom,

Willberg

et al. 2023

Journal of Open Research Software

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Green Paths is a prototype of route planning software for finding exposure-optimised routes for active travel. It incorporates external data on environmental exposures, including traffic noise levels, air quality, and street-level greenery into the street and paths network produced by the OpenStreetMap project. Written in the Python programming language, the software applies a novel environmental impedance function in the least cost path routing to find exposure-optimised routes. Routes for externally defined origin-destination pairs can be queried via a RESTful API. The API returns alternative routes equipped with rich exposure data. The published version of the software has been applied in population level environmental exposure assessment and in an end-user-oriented web-based route planner application designed for use in the Helsinki Metropolitan Area.

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Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing

Cited by 32 publications

References 25 publications

Black Carbon along a Highway and in a Residential Neighborhood during Rush-Hour Traffic in a Cold Climate

Black Carbon along a Highway and in a Residential Neighborhood during Rush-Hour Traffic in a Cold Climate

Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach

The Green Paths Route Planning Software for Exposure-Optimised Active Travel

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