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Germany
This article examines the theoretical heat-energy demand of different types of urban form at a scale of 500 m × 500 m.
Various cities across England and Germany have completely abolished parking minimums.
This report outlines examples of integrated mobility initiatives that can help guide transit agencies in determining ways to move toward more integrated mobility.
This paper, for the first time, presents comparable projections of travel behavior impacts of the introduction of autonomous vehicles (AVs) into the private car fleet for two countries, namely the USA and Germany. The focus is on fully autonomous vehicles (AVs) which allow drivers to engage in other activities en route. Two 2035 scenarios – a trend scenario and an extreme scenario – are presented for both study countries. For these projections, we combine a vehicle technology diffusion model and an aspatial travel demand model. Factors that influence AV impact in the behavioral model are mainly new automobile user groups, e.g. travelers with mobility impairments, and altered generalized costs of travel, e.g. due to a lower value of travel time savings for car travel. The results indicate that AV penetrations rates might be higher in Germany (10% or 38% respectively) than in the USA (8% or 29% respectively) due to a higher share of luxury cars and quicker fleet turnover. On the contrary, the increase of vehicle mileage induced by AVs is not higher in Germany (+2.4% or +8.6% respectively) than in the USA (+3.4% or +8.6% respectively). This is mainly due to the lack of mode alternatives and lower fuel costs resulting in a higher share of travel times among the total generalized costs of travel in the USA. These results clearly indicate that context factors shaped by national policy will influence AV adoption and impact on travel demand changes. Based on these results the paper draws policy recommendations which will help to harness the advantages of AVs while avoiding their negative consequences.
"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."
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