Journal: Networks and Spatial Economics

Abbreviation

Netw Spat Econ

Publisher

Springer

Journal Volumes

ISSN

1566-113X
1572-9427

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Publications 1 - 9 of 9
  • Structure and simulation evaluation of an integrated real-time rescheduling system for railway networks
    Item type: Conference Paper
    Luethi, Marco; Medeossi, Giorgio; Nash, Andrew (2009)
    Networks and Spatial Economics
  • An agent-based microsimulation model of Swiss travel
    Item type: Journal Article
    Raney, Bryan; Cetin, Nurhan; Völlmy, Andreas; et al. (2003)
    Networks and Spatial Economics
  • Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market
    Item type: Journal Article
    Abrell, Jan; Kunz, Friedrich (2015)
    Networks and Spatial Economics
    In northern Europe, wind energy has become a dominate renewable energy source, due to natural conditions and national support schemes. However, the uncertainty about wind generation affects existing network infrastructure and power production planning of generators, which cannot be fully diminished by wind forecasts. In this paper we develop a stochastic electricity market model to analyze the impact of uncertain wind generation on the different electricity markets as well as network congestion management. Stochastic programming techniques are used to incorporate uncertain wind generation. The technical characteristics of transporting electrical energy as well as power plants are explicitly taken into account. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure reflecting the market regime of European markets. The model is applied to the German electricity system covering one week. Two different approaches of considering uncertain wind generation are analyzed and compared to a deterministic approach. The results reveal that the flexibility of generation dispatch is increased either by using more flexible generation technologies or by operating rather inflexible technologies under part-load conditions.
  • Graph-theoretical analysis of the Swiss road and railway networks over time
    Item type: Journal Article
    Erath, Alexander; Löchl, Michael; Axhausen, Kay W. (2008)
    Networks and Spatial Economics
  • Design of a Railway Scheduling Model for Dense Services
    Item type: Journal Article
    Caimi, Gabrio C.; Burkolter, Dan Max; Herrmann, Thomas Michael; et al. (2009)
    Networks and Spatial Economics
  • Synchronizing last trains of urban rail transit system to better serve passengers from late night trains of high-speed railway lines
    Item type: Journal Article
    Long, Sihui; Meng, Lingyun; Miao, Jianrui; et al. (2020)
    Networks and Spatial Economics
  • Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors
    Item type: Journal Article
    Bielik, Martin; König, R.; Schneider, S.; et al. (2018)
    Networks and Spatial Economics
  • Dynamic passenger assignment for major railway disruptions considering information interventions
    Item type: Journal Article
    Zhu, Yongqiu; Goverde, Rob M.P. (2019)
    Networks and Spatial Economics
    Passenger assignment models for major disruptions that require trains to be cancelled/short-turned in railway systems are rarely considered in literature, although these models could make a significant contribution to passenger-oriented disruption timetable design/rescheduling. This paper proposes a dynamic passenger assignment model, where the passengers who start travelling before, during and after the disruption are all considered. The model ensures that on-board passengers are given priority over waiting passengers, and waiting passengers are boarding under the first-come-first-serve rule. Moreover, the model allows information interventions by publishing information about service variations and train congestion at different locations with the aim of distributing passengers wisely to achieve less travel time increase due to the disruption. Discrete event simulation is adopted to implement the model, where loading/unloading procedures are realized and passengers re-plan their paths based on the information they receive. The model tracks individual travels, which helps to evaluate a disruption timetable in a passenger-oriented way.
  • Uncertainties of Sub-Scaled Supply and Demand in Agent-Based Mobility Simulations with Queuing Traffic Model
    Item type: Journal Article
    Saprykin, Aleksandr; Chokani, Ndaona; Abhari, Reza S. (2021)
    Networks and Spatial Economics
    Agent-based models for dynamic traffic assignment simulate the behaviour of individual, or group of, agents, and then the simulation outcomes are observed on the scale of the system. As large-scale simulations require substantial computational power and have long run times, most often a sample of the full population and downscaled road capacities are used as simulation inputs, and then the simulation outcomes are scaled up. Using a massively parallelized mobility model on a large-scale test case of the whole of Switzerland, which includes 3.5 million private vehicles and 1.7 million users of public transit, we have systematically quantified, from 6 105 simulations of a weekday, the impacts of scaled input data on simulation outputs. We show, from simulations with population samples ranging from 1% to 100% of the full population and corresponding scaling of the traffic network, that the simulated traffic dynamics are driven primarily by the flow capacity, rather than the spatial properties, of the traffic network. Using a new measure of traffic similarity, that is based on the chi-squared test statistic, it is shown that the dynamics of the vehicular traffic and the occupancy of the public transit are adversely impacted when population samples less than 30% of the full population are used. Moreover, we present evidence that the adverse impact of population sampling is determined mostly by the patterns of the agents’ behaviour rather than by the traffic model.
Publications 1 - 9 of 9