Search

Non-exhaust emissions (NEEs) from brake and tyre wear cause detrimental health effects, yet their relationship with mobility has not been examined rigorously. We constructed an agent-based traffic simulator to illustrate the coupled problems of emissions, behaviour, and the estimated exposure to PM 10 for groups of drivers and subway commuters in Seoul CBD. Having calibrated the parameters, the results regarding the air quality revealed that roughly 25–30% of the roadside PM 10 was significantly higher than the background PM 10. Additionally, compared to intra-urban cars, pedestrians who commuted for longer periods of time and were exposed to more ambient particles suffered significant health losses; however, drivers only became aware of the health risk when PM 10 levels were consistently high for a few days. Compared to the business-as-usual scenario of vehicle entry, a 90% vehicle restriction was able to reduce PM 10 by 18–24% and cut the percentage of resident drivers who were at risk. However, it was not effective for subway commuters. Using an agent-based traffic simulator in a health context can provide insights into how exposure and health effects can vary depending on the time of exposure and the form of transportation. • An agent-based model simulated the vehicles' NEEs and the adverse health effects. • Our model found that non-exhaust emissions contributed 25–30% of the roadside PM 10. • Banning 90% of vehicles to the study area led up to a 24% decrease in ambient PM 10. • 90% vehicle ban halved the at-risk drivers but negligible in subway commuters. • The estimates of health effects depend strongly on the parameterisation. [ABSTRACT FROM AUTHOR]

Early career researchers (ECRs) encounter distinctive opportunities (and challenges) within the neoliberal academy. In this commentary, we reflect on issues common to ECR experiences in quantitative human geography. Our discussion is inspired by and develops conversations from a panel at the Royal Geographical Society‐Institute of British Geographers (RGS‐IBG) postgraduate forum, with panellists from across the subfield. While many aspects of the ECR experience transcend sub‐disciplinary boundaries, the quantitative subfield presents unique dynamics for ECRs to navigate. ECRs in quantitative geography are steeped in 'data science', which changes relations between academia and industry, with the growth of our field increasing the size and the scope of what ECRs might be expected to know and do. Bringing together reflections from the panel, we highlight the variation in pathways experienced by ECRs, reflecting on opportunities, uncertainties, and mentorship, in the hope of offering insights and advice for prospective and current ECRs and their mentors. This commentary reflects on the perspectives and experiences of early career quantitative human geographers, placing significant emphasis on opportunities, uncertainty, and mentorship, and the overall diversity of pathways available to other early career quantitative human geographers. This commentary reflects on the perspectives and experiences of early career quantitative human geographers, placing significant emphasis on opportunities, uncertainty and mentorship, and the overall diversity of pathways available to other early career quantitative human geographers. [ABSTRACT FROM AUTHOR]