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Population generation for continuous long-distance travel demand simulations
(2015)Microsimulations have become more important in the field of travel demand generation over the last years. However, most of the simulations developed focus on daily-life or short-term travel demand, although the share of the overall traffic volume caused by journeys not undertaken in daily life is increasing. The main goal of this research is the development of a new microsimulation, which is able to generate long-distance travel demand ...Conference Paper -
Evaluating London's congestion charge
(2018)The rationale of road-pricing schemes is to reduce the negative externalities of road traffic by increasing costs to decrease demand. Although in the transportation literature this is a well-acknowledged means of relieving cities from congestion, only few cities have introduced such schemes so far. One of the most notable examples in Europe is London’s congestion charge. Motorists entering London’s city center are required to pay a fixed ...Conference Paper -
A case study of Zurich’s two-layered perimeter control
(2018)This paper evaluates Zurich’s perimeter control with loop detector data from the entire city. We compare the speed indices and congestion levels within the controlled area and its surrounding areas using the concept of the macroscopic fundamental diagram (MFD). At times of heavy congestion, vehicles are prevented by two layers of control to enter the perimeter of the inner city. With the introduction of the concept of the MFD and the ...Conference Paper -
Performance of dynamic urban traffic allocation
(2017)Citizens are increasingly sharing their location and movements through‘check-ins’ on location based social networks (LBSNs). These services are collecting unprecedented amounts of big data that can be used to study how we travel and interact with our environment. This paper will present the development of a destination choice model for Ontario, Canada which uses data from Foursquare, the largest LBSN to model destination attractiveness. ...Conference Paper -
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Target driven activity planning
(2012)TRB 91st Annual Meeting Compendium of PapersThis paper proposes a microscopic travel demand simulation that employs a continuous planning approach with an open time horizon. It uses behavioral targets and the concept of projects to model people’s motivation to execute activities. People’s behavior originates from a planning heuristic making on the fly decisions about upcoming activities. The planning heuristic bases its decisions on the available activity execution options in the ...Conference Paper -
A generalization of the MATSim simulation process to simulate the influence of social contacts spatial distribution on mobility behavior
(2015)In their daily life, individuals are frequently involved in joint decision making — situations where several individuals have to agree on the actions they will undertake to achieve a joint outcome. Examples in the context of mobility behavior include intra-household task allocation, intra-household vehicle allocation, choice of the time and venue for a dinner with friends or traveling together in the same private vehicle.Conference Paper -
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Socially motivated travel and regular destination choice survey pre-test
(2022)For transportation modelers understanding and predicting spatial behavior has been a challenging task. There have been different approaches to explain what factors influence the decision to go to specific locations and at what times of the day; new methodologies are still under development in the literature. The two main tools used to collect data on mobility patterns and decisions are GPS and Survey methods; the first method gives detailed ...Conference Paper -
Exploring the impact of the social network geography on the individual's activity space using structural equation models
(2023)hEART 2023: 11th Symposium of the European Association for Research in TransportationMost leisure travel has social motivations, one of them is to be in contact with people from their social network, this means that the decision does not only depends on individual preferences and restrictions but also on the other person (or persons) involved in the activity. This means that the places an individual visits for leisure are strongly correlated with the geographic location of their social network. This hypothesis is tested ...Conference Paper