International audienceData gathered relating to the Lyon’s shared bicycling system, Vélo’v, is used to analyze 11.6 millions bicycle trips in the city. The data show that bicycles now compete with the car in terms of speed in downtown Lyon. It also provides information on cycle flows that can be of use in the planning of dedicated bicycle lanes and other facilities
International audienceThis paper aims to present a modeling of bike sharing demand at station level in the city of Lyon. Robust linear regression models were used in order to predict the flows of each station. The data used in this project consists of over 6 million bike sharing trips recorded in 2011. The built environment variables used in the model are determined in a buffer zone of 300 meters around each bike sharing station. In order to estimate the bike sharing flow, we use the method of linear regression during the peak periods of a weekday. The results show that bike sharing is principally used for commuting purposes by long term subscribers while short term subscriber's trips purposes are more varied. The combination between bike sharing and train seems to be an important inter-modality. An interesting finding is that student is an important user of bike sharing. We found that there were different types of bikesharing usage which are influenced by socio-economic factors depending on the period within the day and type of subscribers. The present findings could be useful for others cities which want to adopt a bikesharing system and also for a better planning and operation of existing systems. Further, the solutions to encourage the use of bikesharing will be various depending on type of subscribers. The approach in this paper can be useful for estimating car-sharing demand
International audienceWith the aim of making a city sustainable, this paper evaluates the impact of setting up urban toll on inequalities. We use several indicators (Gini, Theil and Atkinson indices) to measure changes in the concentration of incomes and gravity-based accessibility. In the case of the Lyon Metropolitan Area (France), we simulate a cordon pricing and evaluate its impacts on inequalities. We adopt a comparison-based approach to reduce the bias resulting from the spatial division. In agreement with the literature, we show that different inequality indicators produce contrasted and sometimes contradictory results, both at the scale of zones or metropolitan level. Results from Theil and Atkinson indicators point out introducing a toll can reduce inequalities in the most peripheral zones. Although we observe an accessibility improvement, particularly for central zones, the first ring (adjacent to the toll zone) is the most adversely affected by toll
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