Semi-Automated Location Planning for Urban Bike-Sharing Systems

Bike-sharing has developed into an established part of many urban transportation systems. However, new bikesharing systems (BSS) are still built and existing ones are extended. Particularly for large BSS, location planning is complex since factors determining potential usage are manifold. We propose a semi-automatic approach for creating or extending real-world sized BSS during general planning. Our approach optimizes locations such that the number of trips is maximized for a given budget respecting construction as well as operation costs. The approach consists of four steps: (1) collecting and preprocessing required data, (2) estimating a demand model, (3) calculating optimized locations considering estimated redistribution costs, and (4) presenting the solution to the planner in a visualization and planning front end. The full approach was implemented and evaluated positively with BSS and planning experts

Verträglichkeit zwischen Straßenbahn und Fußgängerzone : am Beispiel der Linzer Landstraße

Zsfassung in engl. Sprache11

Supporting the Selection of Sustainable Logistics Locations

Selecting a logistics location is vital for logistics providers, food retailing and other trading companies since the selection poses an essential factor for economic success. Decisions on logistics locations currently mainly take into account economic factors. Environmental aspects play only a subordinate role, which impedes transparent and sustainable decisions. The result is an impeded dialog between the involved stake-holders within the location decision process, which leads to a dismissive position of municipalities and landowners. Besides logistics location may negatively affect eco systems in terms of sealing the surface, wrecking of biodiversity, or CO2 and noise emissions generated by traffic. The increasing importance of sustainability demands for informed decisions when selecting a future logistics location. Sustainability considers environmental aspects, which should be equally integrated in the process of logistics location search. This paper presents an innovative approach for supporting logistics companies when selecting new logistics locations. Basis for the innovative approach are the Analytic Hierarchy Process (AHP) and the Strategic Environmental Assessment tool (SEA). The presented approach extends the AHP method with content and methods out of the SEA tool for considering more environmental aspects in the logistics location selection process. The paper presents the essential steps for developing the innovative approach considering more environmental aspects which leads to more transparent and objective location decisions

Sustainable Transport in Upper Austria: Case Study for Setting up a Living Lab Concept to Accelerate Innovations

The research team is currently working on defining a suitable path towards the design and implementation of a Living Lab for developing, testing and demonstrating innovations in sustainable transport operations. There are several examples that focus on transport and mobility, either addressing individual or freight transport. The combination of both topics is seen as a unique chance to find new ways for a sustainable transport system and mobility behavior. The region of Upper Austria is used as a research case in order to demonstrate results and findings of an applied research project, called “Mobility Lab Upper Austria.