Funded by the Hans-Böckler Foundation
- Shared mobility
- Data mining
- Land use and transport interactions
- GIS modelling
- Roads design
Data-driven method for expanding bike-sharing systems: a spatial factor analysis approach.
Traffic planners usually follow guidelines and GIS approaches to design bike-sharing systems. I propose the development of a data-driven method that searches for the optimal location of the stations and service area by maximizing the expected number of trips. The method builds models to forecast the bike-sharing trips by correlating the historical rentals with spatial objective (e.g., built environment) and subjective (e.g., lifestyle milieus, mobility preferences) factors in the zone of influence of the stations and in the shortest path between the stations. It includes three stages 1) Data collection, analysis, and processing, 2) Model building and validation, and 3) Estimating the optimal location of the stations. Two case studies are considered: a) multiple cities (Hamburg, Frankfurt, Stuttgart, Marburg, Kassel, and Darmstadt) for a new system implementation and b) single city (Munich) for a system expansion. As an outcome, traffic planners will have available an automated data-driven decision-support method for the “first draft” of the design of bike-sharing systems.
|Since 2017||PhD Candidate in the mobil.LAB Doctoral Research Group funded by the Hans-Böckler Foundation|
|Since 2019||Co-Instructor of the “Spatial Visualization of Land-Use and Transport” course for the Masters of Science in Transportation Systems at the Technical University of Munich.|
|Since 2019||Lecturer of the course “Data analysis and visualization” in Sustainable Mobilities Master’s Program (SUM) at HfWU, Geislingen.|
|2017||Short Term Scientific Mission. Factors influencing student´s leisure activities. Technion - Israel Institute of Technology (Israel)|
|2015-2017||Master of Science in Transportation Systems with a Major in ITS. Technical University of Munich (Germany)|
|2016-2017||Working student, Chair of Urban structure and Traffic Planning. Technical University of Munich (Germany)|
|2015||Assessor of the Vice-minister of Defense (Ecuador)|
|2014-2015||Associate roads and traffic engineer. PROMAS (Program of Management of Water and Soils) - University of Cuenca (Ecuador)|
|2007-2014||Bachelor in Civil Engineering. Universidad de Cuenca (Ecuador)|
|2013||Research assistant. Environmental modelling for the analysis of data from the Quimsacocha highlands. PROMAS (Program of Management of Water and Soils ( Ecuador)|
|2011-2012||Working student, Chair of Geology. University of Cuenca (Ecuador)|
Duran-Rodas, D., Chaniotakis, E., Antoniou, C.: Identification of spatio-temporal factors affecting arrivals and departures of shared vehicles. Methodology for comparing multiple cities on a local level using open-source data, 2017. Master Thesis.
Duran-Rodas D., Guzman J.: Design of rural roads in tropical areas after the Ecuadorian normative, 2014. Bachelor Project.
Duran-Rodas, D., Villeneuve, D., Wulfhorst, G: (In)equality in the usage of bike sharing systems considering built and social environment factors among residential areas. NECTAR 2019. Helsinki,Finland.
Duran-Rodas,D., Chaniotakis, E., Antoniou, C.: Built environment factors affecting bike sharing ridership: a data–driven approach for multiple cities. 2019 TRB Annual Meeting. Washington D.C., USA.
Duran-Rodas, D., Chaniotakis, E., Antoniou, C.: Identification of spatio-temporal factors affecting arrivals and departures of shared vehicles. COST Action TU1305 Social Networks and Travel Behaviour Final Conference in Milano 2018
Duran-Rodas, D., Chaniotakis, E., Antoniou, C.: Automated open-source data collection and processing: an example of Open-Street-Map and Bike sharing. mobil.TUM 2018.
Duran-Rodas, D., Chaniotakis, E., Antoniou, C.: Identification of spatio-temporal factors affecting bike sharing demand: a multiple city approach based on a local level. IATBR 2018.