Health effect assessment of PM2.5 pollution due to vehicular traffic (case study: Isfahan)

Soleimani, Mozhgan; Nematollah, Akbari; Saffari, Babak; Haghshenas, Hosein

doi:10.1016/j.jth.2022.101329

Cited by 17 publications

(3 citation statements)

References 68 publications

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“…In formula (5), i is the index number, j is the year, X ij is the actual calculated value, and max(X i ) and min(X i ) are the maximum and minimum values of the i-th index, respectively.…”

Section: Construction Of Evaluation Index Systemmentioning

confidence: 99%

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Exploring the Interactive Coercing Relationship between Urban Rail Transit and the Ecological Environment

Jiao

Luo

et al. 2022

Land

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The Chinese environment is experiencing the “U-Type” course from sharp deterioration to significant improvement. In order to achieve the fundamental improvement of the ecological environment, China has implemented several relevant policies and strategies. Among them, the development of urban rail transit, as an essential measure to improve the ecological environment in China, has attracted more and more attention, but the research on the interactive coercion relationship between rail transit and the ecological environment is minimal. Therefore, this study selected ten cities opening urban rail transit before 2005 in mainland China as research objects and established an urban rail transit and ecological environment comprehensive evaluation index system. Then, the interactive coercing model and coupling coordination model were used, and the dynamic relationship between urban rail transit and the ecological environment was explored. The research results in this study showed that (1) there is an apparent interactive coercion relationship between urban rail transit and the ecological environment, and the evolution trajectory conforms to a double exponential curve. (2) From 2006 to 2019, Wuhan’s ecological environment pressure index showed a continuous downward trend. The ecological environment improved the fastest. The rest of the cities showed a trend of first rising and then falling. (3) The type of coupling coordination degree of urban rail transit and ecological environment showed a changing coordination trend from severe incoordination—slight to incoordination—basic to coordination—good. Beijing has the highest degree of overall coordinated development in urban rail transit and the ecological environment. The results of this study can provide a theoretical reference for the realisation of the virtuous circle development of rail transit and the ecological environment.

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“…In formula (5), i is the index number, j is the year, X ij is the actual calculated value, and max(X i ) and min(X i ) are the maximum and minimum values of the i-th index, respectively.…”

Section: Construction Of Evaluation Index Systemmentioning

confidence: 99%

“…Transportation needs to consume a large amount of fossil energy and emissions many air pollutants. Previous studies show that 14% of PM2.5 pollution changes are caused by transportation [5]. In addition, transportation also produces a large amount of traffic noise.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Interactive Coercing Relationship between Urban Rail Transit and the Ecological Environment

Jiao

Luo

et al. 2022

Land

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“…Applying a panel model with fixed effects, they found that PM 10 concentration increased by 8.6 μg/m³ per 100 cars within the range of the monitoring station. Soleimani et al (2022) leveraged hourly data from sixteen monitoring stations in Isfahan (Iran) to conclude that vehicle traffic was responsible for 14% of changes in PM 2.5 between 2018 and 2020. Furthermore, Dasgupta et al (2021) combined satellite-based traffic and pollution data with meteorological information (temperature, humidity, and wind speed and direction) and socioeconomic data to investigate the temporal dynamics of vehicle congestion and pollution in Tanzania.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating the effect of urban road congestion on air quality in Latin America

Bedoya-Maya¹,

Calatayud²,

Gonzalez-Mejia³

2022

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Road congestion and air pollution are key challenges for quality of life in urban settings. This research leverages highly disaggregated crowdsourced data from Latin America to study the effect of road congestion on levels of carbon monoxide, nitrogen dioxide, and particulate matter in four of the most congested cities in developing countries: Bogota, Buenos Aires, Mexico City, and Santiago. Based on a panel data econometric approach with over 4.4 billion records from Waze and hourly data from 54 air monitoring stations for 2019, our two-stage least square model shows a cumulative increase of 0.6% in response to a 1% of road congestion on the three air pollutants. Moreover, we find a nonlinear relationship between road congestion and air quality and estimate the threshold above which the effect decays. This study provides evidence that supports public policies designed to make urban mobility more sustainable by implementing measures to reduce road congestion in developing contexts.

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Preliminary Study on the Correlation Between Vehicular Growth and Particulate Matter Concentration in Surat, India

Suryawanshi,

Chauhan,

Jariwala

2024

Lecture Notes in Civil Engineering

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Health effect assessment of PM2.5 pollution due to vehicular traffic (case study: Isfahan)

Cited by 17 publications

References 68 publications

Exploring the Interactive Coercing Relationship between Urban Rail Transit and the Ecological Environment

Exploring the Interactive Coercing Relationship between Urban Rail Transit and the Ecological Environment

Estimating the effect of urban road congestion on air quality in Latin America

Preliminary Study on the Correlation Between Vehicular Growth and Particulate Matter Concentration in Surat, India

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