Benefits on public health from transport-related greenhouse gas mitigation policies in Southeastern European cities

Sarigiannis, D; Kontoroupis, Periklis; Nikolaki, Spyridoula; Gotti, Alberto; Chapizanis, Dimitris; Karakitsios, Spyros

doi:10.1016/j.scitotenv.2016.11.142

Cited by 32 publications

(23 citation statements)

References 37 publications

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“…The main sources of air pollution include the industrial activity, taking place in the western region of the city, traffic emissions and residential heating. Further details on the Thessaloniki morphology and sources of pollution can be found elsewhere (Diapouli et al, 2017;Kassomenos et al, 2011;Sarigiannis et al, 2017).…”

Section: Overview Of the Area Under Studymentioning

confidence: 99%

Assessing personal exposure using Agent Based Modelling informed by sensors technology

Chapizanis

Karakitsios

Gotti

et al. 2021

Environmental Research

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Technology innovations create possibilities to capture exposure-related data at a great depth and breadth. Considering, though, the substantial hurdles involved in collecting individual data for whole populations, this study introduces a first approach of simulating human movement and interaction behaviour, using Agent Based Modelling (ABM).A city scale ABM was developed for urban Thessaloniki, Greece that feeds into population-based exposure assessment without imposing prior bias, basing its estimations onto emerging properties of the behaviour of the computerised autonomous decision makers (agents) that compose the city-system. Population statistics, road and buildings networks data were transformed into human, road and building agents, respectively. Survey outputs with time-use patterns were associated with human agent rules, aiming to model representative to real-world behaviours. Moreover, time-geography of exposure data, derived from a local sensors campaign, was used to inform and enhance the model. As a prevalence of an agent-specific decision-making, virtual individuals of different sociodemographic backgrounds express different spatiotemporal behaviours and their trajectories are coupled with spatially resolved pollution levels.Personal exposure was evaluated by assigning PM concentrations to human agents based on coordinates, type of location and intensity of encountered activities. Study results indicated that PM2.5 inhalation adjusted exposure between housemates can differ by 56.5% whereas exposure between two neighbours can vary by as much as 87%, due to the prevalence of different behaviours.This study provides details of a new methodology that permits the cost-effective construction of refined timeactivity diaries and daily exposure profiles, taking into account different microenvironments and sociodemographic characteristics. The proposed method leads to a refined exposure assessment model, addressing effectively vulnerable subgroups of population. It can be used for evaluating the probable impacts of different public health policies prior to implementation reducing, therefore, the time and expense required to identify efficient measures.

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Section: Overview Of the Area Under Studymentioning

confidence: 99%

Assessing personal exposure using Agent Based Modelling informed by sensors technology

Chapizanis

Karakitsios

Gotti

et al. 2021

Environmental Research

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“…Therefore, commuter universities can greatly increase the use of LCT on their campuses and in their surrounding communities. Investment in LCT will not will decrease the CO 2 emissions, it will also decrease the socio-spatial inequalities associated with automobile and increase public health benefits, such as a reduction in mortality and morbidity [76].…”

Section: Discussionmentioning

confidence: 99%

Geographical Assessment of Low-Carbon Transportation Modes: A Case Study from a Commuter University

et al. 2018

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This case study examines the geographic variation in students' low-carbon transportation (LCT) modes to a commuter university campus. Three major goals are accomplished from this research: (1) identifying commuting zones for the bicycling, walking, and transit mode choice for UNCG students; (2) understanding whether the real vs. perception of space can be predictive to mode choice; and (3) understanding the relative importance of demographic, psychological, and logistic factors on students' mode choice, using a suite of variables developed in multiple fields. Our analyses support the assertion that various physical, demographic, and psychological dimensions influence LCT mode choice. While the presence of sidewalks is conducive to walking, the distance, either perceived or actual, within 1.61 km from UNCG is the most important factor for walking mode share. The bicycling commute is not associated with either the distance or presence of bicycle lanes, while transit ridership most likely increases if students live >8 km from the UNCG campus with the nearest bus stop within 1 km from home. Given the limited bicycle lanes in Greensboro, students who commute to campus by bicycle are resilient to unfavorable bicycle conditions by sharing the road with cars and adjusting their travel routes. Our findings also concur with previous studies showing that bicycle commuters are disproportionately represented by self-identified whites while bus riders are disproportionately comprised of self-identified non-whites. Our analyses support Greensboro's current planning and policy emphasis on low-carbon travel behaviors via equitable and safe transit-oriented multi-modal infrastructures, and suggest that UNCG should utilize its influence to advocate and further facilitate these ongoing efforts.

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“…Transportation is the central investigated sector for public health benefits obtained after air pollution reduction (Sarigiannis et al 2017) (Lindsay et al 2011). It is well known that vehicular transport produces about 70% of environmental pollution since exhaust fumes from motors are a source of several pollutants (CO, NO 2 , VOC, and PM) (Xia et al 2015).…”

Section: Public and Active Transportmentioning

confidence: 99%

Mitigation strategies for reducing air pollution

Sofia

Gioiella²,

Lotrecchiano

et al. 2020

Environ Sci Pollut Res

176

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Today, it is increasingly recognized that air pollution hurts human health. Consequently, efficient mitigation strategies need to be implemented for substantial environmental and health co-benefits. A valid approach to reducing the air pollution effects on the environment and human health is proposed. Specific guidelines have been elucidated by differentiating them on the base of the final stakeholders (citizens, enterprises, and public authorities), of the emission sources (transport, household energy, industry, and energy generation sector, agriculture, and shipping area), and of the field of implementation (urban and extra-urban context). This paper can provide useful information for governments for the implementation of a strategic plan focused on emphasizing multi-pollutant emission reductions and overall air pollution-related risk.

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Benefits on public health from transport-related greenhouse gas mitigation policies in Southeastern European cities

Cited by 32 publications

References 37 publications

Assessing personal exposure using Agent Based Modelling informed by sensors technology

Assessing personal exposure using Agent Based Modelling informed by sensors technology

Geographical Assessment of Low-Carbon Transportation Modes: A Case Study from a Commuter University

Mitigation strategies for reducing air pollution

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