van Eggermond, Michael

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Michael
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van Eggermond, Michael

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  • Vorschaubild
    Publikation
    Evaluation and acceptance of an online cycling training for adults to master complex traffic situations
    (16.11.2023) van Eggermond, Michael; Studer, Nora; Johnson, Lucy; Knecht, Leah; Schaffner, Dorothea
    06 - Präsentation
  • Vorschaubild
    Publikation
    Quantifying the effect of street design on driving speed on urban roads
    (11.05.2023) van Eggermond, Michael; Schaffner, Dorothea; Studer, Nora; Erath, Alexander
    Reducing driving speed is a key factor in improving road safety and combatting noise emissions. Over the last decades, many European cities and countries have reduced the speed limits of residential and neighborhood roads from 50 km/h (30 mph) to 30 km/h (20 mph) or even 20 km/h (12 mph). At the same time, there is a discussion the reduction of the speed limit on main roads in urban areas in several countries. Main roads in urban areas are different from residential roads in several ways, including, but not limited to type of trips, type of vehicles and the presence of public transport, and are therefore limited in design options to reduce speeds. The study at hand reports on a virtual reality study conducted in Switzerland using a driving simulator. To assess whether road design influences driving speed, participants were asked to drive through a series of streets in VR with varying speed limits and street designs. Speed and lateral position were recorded; in a follow-up survey, participants stated their preferred speed along the same segments and were asked about risk aversion. Results indicate that only certain designs result in slightly lower driving speeds, while controlling for self-reported risk aversion and driving style. Given the characteristics of main roads, measures reducing the (perceived) lane width are promising, but require further investigation.
    06 - Präsentation
  • Vorschaubild
    Publikation
    Using backcasting to support corporate mobility management
    (2021) van Eggermond, Michael; Erath, Alexander
    The paper at hand describes a research project conducted in collaboration with a major employer based in Basel, Switzerland. The company employs innovative mobility policies, such as a strict parking regime, with lots only available to employees who have to travel more than 45 minutes by public transport, offers bike sharing and public transport bonuses, but would like to further reduce parking lots and desires to reduce greenhouse emissions resulting from commuting while remaining an attractive employer. The aim of the project was the to better understand the impact of exogenous developments (e.g. new train lines, road pricing, infrastructure improvements, safer cycling routes) and endogenous mobility policies (e.g. bike sharing, parking fees, charging stations). These developments and policies were identified in a series of workshops with stakeholders. At the same, key performance indicators were formulated. Instead of forecasting the impact of these policy measures, the project set out to describe a desirable future (e.g., less emissions, attractive employer), reason backwards from the desired situation and formulate a package of policy measures that could in this future, whilst taking into account exogenous developments. This process is also known as backcasting and has been applied in several studies (e.g. Banister et al., 2000; Barandier 2015) To quantify the impact of the policy measures several data sets were available and newly collected. Travel times and distances for motorized private transport, walking and cycling were calculated using the Google travel time API for all employees. As Google’s API only offers limited coverage for public transport in Germany and France, use was made of publicly available public transport schedules and the open-source routing engine R5. A survey was conducted among employees, resulting in over 6000 responses. Based on the survey data, choice models were estimated and applied. Exogenous and endogenous developments for over 10 policy measures were quantified using simplified assumptions, whilst taking into account the spatial differences, and used to forecast the impact of each individual measure and combinations of measures. Measures include the impact of e-bike provision, the impact of improved cycling infrastructure, new train stations and the differentiated parking fees. The project resulted in a set of mobility policies and recommendations to monitor these mobility policies, and the methodology has been applied at other stakeholders to support sustainable mobility policies.
    06 - Präsentation