Urban air pollution and time losses: Evidence from cyclists in London

Klingen, Joris; Ommeren, Jos van

doi:10.1016/j.regsciurbeco.2019.103504

Cited by 10 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies (e.g. Klingen and Ommeren, 2020) provide indications that increased ambient ozone levels (to which CO and NO x are precursors) reduce biking speeds. This would be an interesting extension to the presented model.…”

Section: Discussionmentioning

confidence: 99%

A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution

Schindler

Wang

Connors

2021

Journal of Transport Geography

View full text Add to dashboard Cite

Air pollution is an increasing concern to urban residents. In response, residents are beginning to adapt their travel behaviour and to consider local air quality when choosing a home. We study implications of such behaviour for the morphology of cities and population exposure to traffic-induced air pollution. To do so, we propose a spatially explicit and integrated residential location and transport mode choice model for a city with traffic-induced air pollution. Intra-urban spatial patterns of population densities, transport mode choices, and resulting population exposure are analysed for urban settings of varying levels of health concern and air pollution information available to residents. Numerical analysis of the feedback between residential location choice and transport mode choice, and between residents' choices and the subsequent potential impact on their own health suggests that increased availability of information on spatially variable traffic-induced health concerns shifts population towards suburban areas with availability of public transport. Thus, health benefits result from reduced population densities close to urban centres in this context. To mitigate population exposure, our work highlights the need for spatially explicit information on peoples' air pollution concerns and, on this basis, spatially differentiated integrated land use and transport measures.

show abstract

Section: Discussionmentioning

confidence: 99%

A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution

Schindler

Wang

Connors

2021

Journal of Transport Geography

View full text Add to dashboard Cite

show abstract

“…Chang et al (2016), Chang et al (2019) study productivity of pear packers and call centre employees and find adverse effects of PM pollution on productivity. Klingen and van Ommeren (2020) show that ozone reduces cycling speed.…”

Section: Introductionmentioning

confidence: 96%

Risk-Taking and Air Pollution: Evidence from Chess

Klingen

Ommeren

2021

Environ Resource Econ

Self Cite

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

“…Cycling data sources originating from sensors and location-based services (Huang et.al. 2018) include a variety of examples like BSS (O'Brien et al 2013, Fishman 2015, Klingen & Van Ommeren 2020, eye-tracking (Rupi & Krizek 2019), GPS positioning through various devices or mobile applications (Romanillos & Zaltz-Austwick 2018, Rupi & Schweizer 2018, Dane et al 2019, social media (Das et al 2019), street view imagery (Goel al. 2018), video recording (Pokorny & Piterna 2019) and virtual reality simulators (Leeuw & Kruijf 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparing spatial data sources for cycling studies – a review

Willberg¹,

Tenkanen²,

Poom³

et al. 2021

Preprint

View full text Add to dashboard Cite

Cycling is integral for developing human-scale cities. To attract more people on bikes, urban planning and research share a need to better understand the spatial, temporal and social aspects of cycling. Novel data sources provide new opportunities to respond to this need, but understanding their strengths and weaknesses is crucial to facilitate the use of the most fitting data. We reviewed common cycling data sources and carried out a survey among NECTAR researchers and their networks of experts to compare the suitability of different data for answering some of the most common questions on cycling. Our results highlight the need for careful consideration of data availability, representativeness and fitness-for-use. The lack of cycling data and access to it is still identified as a main limitation among several of the reviewed data sources, both novel and traditional. We call for increased emphasis on responsible data sharing and open science practices whenever possible.

show abstract

Urban air pollution and time losses: Evidence from cyclists in London

Cited by 10 publications

References 36 publications

A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution

A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution

Risk-Taking and Air Pollution: Evidence from Chess

Comparing spatial data sources for cycling studies – a review

Contact Info

Product

Resources

About