Dirty Density: Air Quality and the Density of American Cities

Carozzi, Felipe; Roth, Sefi

doi:10.2139/ssrn.3590889

Cited by 10 publications

(8 citation statements)

References 38 publications

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“…Regarding the external validity of our results, we expect that the external cost of transport in terms of air pollution is particularly high in a densely-populated zone such as the Paris area (Carozzi and Roth, 2019), while the potential for modal shift is also relatively high (Nicolas and David, 2009;Brand et al, 2021). We think that our results are likely to apply to other large European cities with a dense public transport network, such as London, Madrid and Rome, as well as to other large French urban areas.…”

Section: Discussionmentioning

confidence: 66%

“…Such interventions may be less costly in cities than in other areas, both because low-emission substitutes are more available in dense areas and because the benefits from avoided local pollution are likely to be greater (Carozzi and Roth, 2019;Creutzig et al, 2020). Nevertheless, policy proposals aiming at restricting the use of polluting cars in cities, whether motivated by air quality concerns or climate objectives, are controversial (Viegas, 2001;Delhaes and Kersting, 2019;Isaksen and Johansen, 2020;Bremner, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Tackling car emissions in urban areas: Shift, Avoid, Improve

Leroutier¹,

Quirion²

2022

Preprint

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Section: Discussionmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Tackling car emissions in urban areas: Shift, Avoid, Improve

Leroutier¹,

Quirion²

2022

Preprint

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“…City dwellers are especially vulnerable to the effects of disturbing noises, which is a type of environmental pollution originating from vehicular traffic, air traffic, car sirens, commerce, industries, entertainment venues, and stadiums, among others [35]. The presence of noise in the urban environment increases in densely populated areas, where the population is affected by negative externalities caused by the excessive concentration of people [36,37]. Even though some of the better-known effects of noise on health are hearing loss and tinnitus (ringing in the ears) [38,39], those are not the only possible consequences.…”

Section: Noise and Human Well-beingmentioning

confidence: 99%

Impact of Perceptions of Air Pollution and Noise on Subjective Well-Being and Health

Herrera

Cabrera-Barona

2022

Earth

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With a growing interest in the study of urban life and health, evidence indicates that the quality of the environment in which we live can have implications for our subjective well-being and health. This study assesses the potential impacts of perceptions of visual air pollution, olfactory air pollution, and noise pollution on self-perceived health, self-perceived happiness, and satisfaction with life, through the calculation of ordinal logistic regressions, using the information of an online survey carried out in Quito, Ecuador. We found that perceptions of unpleasant odors and noise pollution influence self-perceived health, self-perceived happiness, and satisfaction with life. The obtained results may support the incorporation of citizens’ perspectives to better understand environmental pollution and to enrich local planning for urban sustainability.

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“…Kepadatan penduduk juga berkorelasi positif dengan tingkat polusi udara, yang dicerminkan oleh kadar nitrogen dioksida (NO2). Konsentrasi spasial yang lebih tinggi berimplikasi pada konsentrasi polutan yang lebih tinggi pula (Carozzi & Roth, 2020). Selanjutnya, polusi udara juga memiliki hubungan positif dengan jumlah kejadian dan kematian COVID-19.…”

Section: Gambar 5: Matriks Korelasi Antar Indikator Kerentanan Pandemiunclassified

Pandemic Vulnerability Mapping in East Java and Its Connection to Local Economic Resistance

Zulkarnain¹,

Ramadani²

2022

EJAVEC

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The objectives of this study are to measuring and to mapping pandemic vulnerability in East Java as well as to examine the association between pandemic vulnerability and local economic resistance. To achieve the objectives, this study employs several techniques: descriptive analysis, principal component analysis, cluster analysis, and analysis of variance. The data were acquired from various sources, that cover health, social, economic, and environmental conditions. The results showed that there were seven most vulnerable districts in East Java. They were Kota Surabaya, Kabupaten Sidoarjo, Kabupaten Gresik, Kota Kediri, Kota Malang, Kota Mojokerto and Kota Madiun. The core pandemic indicators were population mobility, the number of COVID-19 cases and its mortality, population density, air pollution, the prevalence of diabetes, and the share of secondary and tertiary sectors. Furthermore, this study found that there were negative association between pandemic vulnerability and local economic resistance in East Java.

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Dirty Density: Air Quality and the Density of American Cities

Cited by 10 publications

References 38 publications

Tackling car emissions in urban areas: Shift, Avoid, Improve

Tackling car emissions in urban areas: Shift, Avoid, Improve

Impact of Perceptions of Air Pollution and Noise on Subjective Well-Being and Health

Pandemic Vulnerability Mapping in East Java and Its Connection to Local Economic Resistance

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