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“The purpose of this paper is to develop a topological approach to characterizing the MaaS concept in order to: 1) facilitate more meaningful discussions of the MaaS concept, 2) enable the ‘comparison of’ different services, 3) understand MaaS’ requirements and effects in terms of society, business, users/ customers, and technology, and 4) aid in the integration of societal goals.”
This is the sponsorship brochure for the 2020 Urbanism Next European Conference.
Continuous and dynamic growth in demand for road transport, especially in developing countries, causes increase of greenhouse gases (GHG) emissions. At the same time the emissions of toxic components of exhaust gases harmful to human health and the environment enhance – particulate matter, nitrogen oxides, carbon monoxide and others. In particular, GHG emission and increase their concentration in the atmosphere, where road transport is the largest issuer in the transport sector, become one of the most important global problems. So far actions towards reducing energy consumption and emissions have not caused a decrease in global emissions. The aim of authors of this paper is to analyze the potential for AV to reduce GHG emissions from road transport. The analysis includes not only technical and technological issues, but also organizational and in the management of transport demand.
"This paper presents a comprehensive discussion of the value capture mechanisms that cities can and do use to help finance their public transport systems. It highlights the most important findings from the literature and adds to it with new insights gained through case studies of public transit finance in six European and American cities. The objective is to inform a lively and productive dialogue on non-fare sources of public transport finance, and ultimately to find the best ways to finance the maintenance and extension of transit service in cities around the world."
"In this paper, we present a project in Munich, Germany, where the last mile package delivery is carried out by a CEP company by cargo bikes and eBikes. To this end, two containers and one truck-trailer are placed in the city center which function as depot stations for the parcels to be delivered nearby. We analyze the delivery data, present an optimization scheme for finding suitable container locations, and simulate the routes conducted by cargo bikes for an average day. It can be concluded that the presented approach is a feasible solution for the package delivery in densely populated cities. The vehicle mileage covered by diesel trucks per day is significantly reduced from 180 km to 45 km, approximately."
The aim of this paper is to make an overview of the business models of the companies developing AVs for Last-Mile Delivery (LMD) of goods and to find out what is the attitudes of the online customers towards using AVs for delivery of their goods.
In an era dominated by ongoing urbanization and rising e-commerce, the efficient delivery of goods within cities becomes a major challenge. As a new element of urban logistics, we discuss the potential of autonomous unmanned ground vehicles (AUGV) regarding the last mile delivery of shipments to customers. We propose an optimization model to minimize the delivery costs of urban shipments using AUGV. Simultaneously, best locations from a set of existing stations are selected for AUGV positioning and optimal route determination. With our developed Location Routing Problem, we provide decision support for parcel service providers, city authorities, and other relevant decision makers. Regarding the Green Information Systems domain, we tackle the lack of solution-oriented research addressing a more sustainable and locally emission free supply of goods within urban areas.
To help decision-makers understand the impact of AV technology on regional plans, modeling tools should anticipate automated vehicles’ effect on transportation networks and traveler choices.This research uses the Seattle region’s activity based travel model to test a range of travel behavior impacts from AV technology development. The existing model was not originally designed with automated vehicles in mind, so some modifications to the model assumptions are described in areas of roadway capacity, user values of time, and parking costs. Larger structural model changes are not yet considered.