Multimodal Vehicle Integration and Charging Infrastructure (B1.1)

• Analysis of overall optimization potential for alternative transport systems. | Contact: V.Härri
• Technical simulation for more efficient transport systems. summary deliverable
  Contact: A. Weidmann
• Pilot Project for Interconnection of Electrical Charging Devices and substations. Efficiency improvement and dissemination.
  Contact:V. Härri

Spatio-temporal Data Acquisition & Analysis, Monitoring Devices and User Communication (B1.2)

• System requirements and specifications for and ICT- and Sensor-Based Monitoring Framework | Contact: M. Raubal
• Implementation and extension of a model for real-time automatic matching of complementary transport needs
  Contact: M. Raubal
• Transport simulation implementation: Sharing and Autonomous Driving. | Contact: K. Axhausen

• Personalized energy mobility app prototype summary
  Contact: M. Raubal

Urban Planning & Environmental Impact (B1.3)

• Models and definitions: Decision-making process and spatial mobility model based on Building Information
  Modeling BIM [M6]; Stakeholders definition [M8].
• Inventory of spatial planning data, regulations, law and standards, LCiA [M12].
• Prototype of decision-making tool with limited function including home-work-leisure interaction and planning tool for e-mobility [M24]

Optimizing energy efficiency and infrastructure usage of railway operation

• Data collection of on-board monitoring data (first phase) [3, 2018]
• Calibration and validation models for railway simulation modelling [1, 2019]
• Energy efficient strategies in railway operation: towards autonomous driving in mixed traffic national rail networks [12, 2020]

Optimal fleet composition and energy infrastructures for road-based mobility

• Research proposal ready for submission [6, 2017]
• Release and publication of the optimization framework [12, 2017]
• Documentation or paper, proof of concept [1, 2018]
• Complete first example application based on micro-census [6, 2018]
• Documentation or paper, aggregated examples based on micro-census [12, 2018]
• Integration strategies for study region: final report case study 1 [6, 2020], and publication of generalization for other regions

Capacities of energy infrastructures with emphasis on the electric grid

• Modelling of the distribution grid of a benchmark distribution grid and, if possible of the concrete partnering region(s) including simulations of the respective grids typical usage patterns as given by load demand and local PV production time-series inside the grid platform DPG.sim [12, 2017]
• Technical report on distribution grid modelling and base-case simulation results [1, 2018]
• Development of techno-economic assessment concept for cost-effective distribution grid adaption due to electric mobility charging demands. Validation of the assessment concept based on simplified mobility-induced electric charging profiles inside the distribution grid simulation framework and development [12, 2018]
• Technical report or paper on electric mobility’s charging impacts and cost-effective distribution grid adaptation [1, 2019]
• Incorporation of detailed mobility-induced electric charging profiles into distribution grid simulation and adaptation framework [12, 2019]
• Final report or paper on electric mobility’s charging impacts and cost-effective distribution grid adaptation incl. generalizable grid adaptation recommendations for distribution grid operators [12, 2020]

Assessment of mobility choices in a geographic and socio-economic context

• Main reasons for and against choosing sustainable or non-sustainable mobility options in a particular geographic or socio-economic context identified [12, 2018]
• Model-driven questionnaire [12, 2017]
• Results of questionnaires and documentation [12, 2018]

Information service for sustainable mobility choices

• Sustainable mobility choice recommender system [12, 2020]
• Prototypical implementation of a mobility choice recommender system [12, 2020]

Prototype of transport need matching system

• Software prototype of transport need matching system & transfer to SUPSI team (within the framework of the NFP Go Eco! project) [12, 2017]
• Standards for web-based publication of transport needs [6, 2017]
• Algorithm for multi-modal and energy-efficient transportation modes [9, 2017]

Household consumption modelling

• Household consumption model quantifying environmental impacts of mobility and other consumption areas for all Swiss households [1, 2018]
• Analysis of causal relationships and trade-offs between mobility and other consumption areas [7, 2018]

Simulation of prospective household mobility behaviour

• Updated MATSim model (including integration of models from B1.2.1) [6, 2019]
• Documentation and open-source code for the updated MATSim model [6, 2019]
• Calibration results of updated MATSim model [12, 2019]
• Results of the simulation study integrating prospective household behaviour [11, 2020]
• Archive of the data and code used [12, 2020]
• Investigation of measures/incentive systems on the mobility impacts of individual households in future scenarios [4, 2020]

Impact of urban structures and planning activities on mobility

• Cluster analysis of settlement typologies inducing varying mobility behaviour is identified [10, 2018]
• Prototype for decision-making tool validated and implemented into external practice [10, 2020]

Erkenntnisse aus einem digitalen Modell (findings of a digital model)
Zwischenstand des laufenden Forschungsprojekts (intermediate results of the ongoing research project)

research conducted by SCCER Mobility CA B1 members Prof. Dr. Joachim Huber and Michael Walczak,
Berne University of Applied Sciences, Architecture, Wood and Civil Engineering

More information www.dencity.ch

Documents
Brochure (in german)
Analysis-diagram-spirit
Fact sheet

e-MIP - electro-Mobility-Information Planning

The innovative e-MIP project aims to optimize bus routes by using coherent, quantitative and spatial simulation and evaluation based on big-data. This collaborative effort between Dencity, ETHZ and HESS AG will promote improved land use in urban living spaces and reduced or neutral CO₂ emissions in these areas.

Contact Joachim Huber

Documents
Fact sheet e-MIP (pdf)
Kick-off meeting e-MIP (pdf)

2017

Ciari, F., & Becker, H. (2017). How Disruptive Can Shared Mobility Be? A Scenario-Based Evaluation of Shared Mobility Systems Implemented at Large Scale (pp. 51–63). Springer, Cham. https://doi.org/10.1007/978-3-319-51602-8_3

Froemelt, A., & Hellweg, S. (2017). Assessing Space Heating Demandon a Regional Level: Evaluation of a Bottom-Up Model in the Scope of a Case Study. Journal of Industrial Ecology, 21(2), 332–343. https://doi.org/10.1111/jiec.12438

Jonietz, D., Antonio, V., See, L., & Zipf, A. (2017). Highlighting Current Trends in Volunteered Geographic Information. ISPRS International Journal of Geo-Information, 6(7), 202. https://doi.org/10.3390/ijgi6070202

Zufferey, T., Ulbig, A., Koch, S., & Hug, G. (2017). Forecasting of Smart Meter Time Series Based on Neural Networks (pp. 10–21). Springer, Cham. https://doi.org/10.1007/978-3-319-50947-1_2

 
2016

Jonietz, D. (2016). Personalizing Walkability: A Concept for Pedestrian Needs Profiling Based on Movement Trajectories (pp. 279–295). Springer, Cham. https://doi.org/10.1007/978-3-319-33783-8_16

Weiser, P., Scheider, S., Bucher, D., Kiefer, P., & Raubal, M. (2016). Towards sustainable mobility behavior: research challenges for location-aware information and communication technology. GeoInformatica, 20(2), 213–239. https://doi.org/10.1007/s10707-015-0242-x

 
2015

Ahas, R., Aasa, A., Yuan, Y., Raubal, M., Smoreda, Z., Liu, Y., … Zook, M. (2015). Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn. International Journal of Geographical Information Science, 29(11), 2017–2039. https://doi.org/10.1080/13658816.2015.1063151

Allemann, D., & Raubal, M. (2015). Usage Differences Between Bikes and E-Bikes (pp. 201–217). Springer, Cham. https://doi.org/10.1007/978-3-319-16787-9_12

De Martinis, V., & Weidmann, U. A. (2015). Definition of energy-efficient speed profiles within rail traffic by means of supply design models. Research in Transportation Economics, 54, 41–50. https://doi.org/10.1016/J.RETREC.2015.10.024

Haerri, V. V., Lindegger, M., & Neumaier, M. (2015). A novel interior permanent synchronous motor for a high end ebike drive chain. In 2015 5th International Electric Drives Production Conference (EDPC) (pp. 1–6). IEEE. https://doi.org/10.1109/EDPC.2015.7323228

Toletti, A., De Martinis, V., & Weidmann, U. (2015). What about Train Length and Energy Efficiency of Freight Trains in Rescheduling Models? Transportation Research Procedia, 10, 584–594. https://doi.org/10.1016/J.TRPRO.2015.09.012

 
2014

De Martinis, V., Weidmann, U., & Gallo, M. (2014). Towards a simulation-based framework for evaluating energy-efficient solutions in train operation. In U. Weidmann & M. Gallo (Eds.), WIT Transactions on The Built Environment (Vol. 135, pp. 721–732). WIT Press. https://doi.org/10.2495/CR140601

Saner, D., Vadenbo, C., Steubing, B., & Hellweg, S. (2014). Regionalized LCA-Based Optimization of Building Energy Supply: Method and Case Study for a Swiss Municipality. Environmental Science & Technology, 48(13), 7651–7659. https://doi.org/10.1021/es500151q

Yuan, Y., & Raubal, M. (2014). Measuring similarity of mobile phone user trajectories– a Spatio-temporal Edit Distance method. International Journal of Geographical Information Science, 28(3), 496–520. https://doi.org/10.1080/13658816.2013.854369