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, Dubernet, Thibaut, Axhausen, Kay W., 2015 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Implementing a household joint activity-travel multi-agent simulation tool: First results
Abstract: In recent years, there has been a growing interest in the social dimension of travel, and how travel decisions are influenced not only by the global state of the transportation system, but also by joint decisions and interactions with social contacts. Such joint decisions are particularly important for a variety of behaviors: leisure activities are often performed with social contacts, and their location and timing is thus the result of a joint process; household "maintenance" tasks, such as grocery shopping or driving the children to school, are allocated to one single member; and of course joint (car) travel is the result of complex joint decisions. For this reason, the need to include household and friendship relationships into mobility simulation frameworks is becoming more and more obvious. This paper presents a game theoretic framework for the study of joint decision making, as well as an algorithm to search for approximate solutions of the resulting game. An implementation of this algorithm for the household case, using the MATSim software framework, is proposed and tested. The implementation of this algorithm is tested for the Zürich area, Switzerland, focusing on the possibility to perform joint trips. Those results allow to identify strengths and weaknesses of the approach, and directions for future work.2
Published in: Transportation
Volume: 42
Issue: 5
Pages: 753 - 769
ISSN: 0049-4488, 1572-9435
Publication date / Date received: 2015-09-01
Publication status: Springer
Publication status: Published
Subjects: Verkehr und Transport|Traffic and Transportation, Wirtschaft, Recht und Politik allgemein|Economics, Law and Politics, General, Multi-agent, Joint decisions, Household, Simulation
Language: English
Keyword: Multi-agent, Joint decisions, Household, Simulation
DBID source: FORM-1438599755, SCOPUS-84942506421, WOS-000361888300003
DOI: 10.1007/s11116-015-9645-7
Nebis system number: 000056550
, Picornell, Miguel, Ruiz, Tomás, Lenormand, Maxime, Ramasco, José J., Dubernet, Thibaut, Frías Martínez, Enrique, 2015 >>
Author(s): Picornell, Miguel, Ruiz, Tomás, Lenormand, Maxime, Ramasco, José J., Dubernet, Thibaut, Frías Martínez, Enrique
Title: Exploring the potential of phone call data to characterize the relationship between social network and travel behavior
Abstract: Social network contacts have significant influence on individual travel behavior. However, transport models rarely consider social interaction. One of the reasons is the difficulty to properly model social influence based on the limited data available. Nonconventional, passively collected data sources, such as Twitter, Facebook or mobile phones, provide large amounts of data containing both social interaction and spatiotemporal information. The analysis of such data opens an opportunity to better understand the influence of social networks on travel behavior. The main objective of this paper is to examine the relationship between travel behavior and social networks using mobile phone data. A huge dataset containing billions of registers has been used for this study. The paper analyzes the nature of co-location events and frequent locations shared by social network contacts, aiming not only to provide understanding on why users share certain locations, but also to quantify the degree in which the different types of locations are shared. Locations have been classified as frequent (home, work and other) and non-frequent. A novel approach to identify co-location events based on the intersection of users' mobility models has been proposed. Results show that other locations different from home and work are frequently associated to social interaction. Additionally, the importance of non-frequent locations in co-location events is shown. Finally, the potential application of the data analysis results to improve activity-based transport models and assess transport policies is discussed.2
Published in: Transportation
Volume: 42
Issue: 4
Pages: 647 - 668
ISSN: 0049-4488, 1572-9435
Publication date / Date received: 2015-07-01
Publication status: Heidelberg
Publication status: Published
Subjects: Wirtschaft, Recht und Politik allgemein|Economics, Law and Politics, General, Verkehr und Transport|Traffic and Transportation, Travel behavior, Social network, Mobile phone, Call Detail Record, Activity-based modelling
Language: English
Review status: Peer reviewed
Keyword: Travel behavior, Social network, Mobile phone, Call Detail Record, Activity-based modelling
DBID source: SCOPUS-84930821078, WOS-000355923100007
DOI: 10.1007/s11116-015-9594-1
Nebis system number: 000056550
, Dubernet, Thibaut, Axhausen, Kay W., 2015 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Simulating the influence of Social Contacts Spatial Distribution on Mobility Behavior
Abstract: 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.
In addition to being necessary to predict joint travel and car occupancy, it has been hypothesized that considering explicitly this kind of joint decision process for the case of leisure activities planning might help to improve the forecasts for the choice of the leisure destination, due to the often social nature of such activities. This research is motivated by those results, and aims at including social behavior - including joint decision making and coordination - in a multi-agent transport simulation in a meaningful way. To do so, an algorithm to solve a specific game-theoretic solution concept has been designed.
This framework is used to simulate joint leisure activity location choice. A synthetic social network, generated using the approach of Arentze et al. (2013), is used to obtain realistic geographical distribution of social contacts. Validity of the predicted traveled distances, as well as sensitivity of the results to the geographical properties of the social network will be demonstrated.2
Publication date / Date received: 2015-04-01
Publication status: Ascona
Publication status: Published
Event name: 15th Swiss Transport Research Conference (STRC 2015)
Event date: April 15-17, 2015
Place: Ascona, Switzerland
Language: English
DBID source: FORM-1432372487
, Dubernet, Thibaut, Axhausen, Kay W., 2015 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: A Generalization of the MATSim simulation process to Simulate the influence of Social Contacts Spatial Distribution on Mobility Behavior
Abstract: 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. In addition to being necessary to predict joint travel and car occupancy, it has been hypothesized that considering explicitly this kind of joint decision process for the case of leisure activities planning might help to improve the forecasts for the choice of the leisure destination, due to the often social nature of such activities (Axhausen, 2007). Evidences of the influence of social contacts meetings on activity durations, trip length, or type of activities could be found (Stauffacher et al., 2005; Carrasco and Habib, 2009; Habib and Carrasco, 2011; Moore et al., 2013). This has motivated the inclusion of social networks in simulation frameworks. For instance, (Hackney, 2009) experimented with the co-evolution of social networks and travel patterns in MATSim - without joint decision processes. Other examples include joint decision making (Han et al., 2011; Ronald et al., 2012; Ma et al., 2011, 2012). This research aims at including social behavior - including joint decision making and coordination - in a multi-agent transport simulation in a meaningful way. To this end, the MATSim simulation framework has been extended. MATSim provides a coevolutionary algorithm to search for a user equilibrium over daily plans. The process was modified to shift the solution concept: instead of searching an invidual-based equilibrium, it searches a state without blocking coalitions: a state where no group of agents can all improve the utility they get from their day by changing their plans together, including the posssiblity of joint trips or activities. Of course, adding the possibility to perform joint activities, including joint location choice, increases a lot the size of the search space. Different possible techniques to cope with this were experimented, and are discussed, in terms of a tradeoff between computationnal performance, quality of the results and code maintainability.2
Publication date / Date received: 2015-01-01
Publication status: Singapore
Publication status: Published
Event name: International Workshop on "Behavioural detail and computational demands in agent-based models"
Event date: March 24-26, 2015
Place: Singapore, Republic of Singapore
Language: English
DBID source: FORM-1428659703
, Dubernet, Thibaut, Axhausen, Kay W., 2014 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Solution Concepts for the Simulation of Household-Level Joint Decision Making in Multi-Agent Travel Simulation Tools
Abstract: In the recent years, there have been a growing interest in understanding and forecasting joint travel-related decisions, that is, decisions taken by several individuals together, including binding agreements. Such forecasting would first allow to predict the impact of policies aiming at influencing this kind of behavior (for instance policies aimed at increasing car occupancy), but also improve the forecasts in general, by taking into account the effect of spatial dispersion of social contacts when choosing a joint leisure location, for instance. A large number of attempts at simulating the state of transport systems have had a game theoretic view: individuals are seen as agents getting a utility from their travel decisions, this utility depending on the decisions of others (mainly via congestion). Game theory is aimed at defining and studying solution concepts for such situations, that is, ways to predict probable outcomes of such games. Most of the research in travel behavior forecasting relied on the equilibrium family of solution concepts. In this setting, individuals are seen as selfish agents competing for limited joint (capacity) resources. Another field where game-theoretic concepts have had important impact is in the field of co- evolutionary computation. An important stream of literature in this field in particular insists on the importance of the game-theoretic solution concept explicitly or implicitly underlying the search process, which will favor one solution or the other. Equilibrium is not the only solution concept from game theory, and its applicability in the case of decisions taken amongst emotionally related individuals, such as household members, is dubious. In particular, the possibility of realizing binding agreements is excluded from such formulation. This paper uses a co-evolutionary algorithm, built using the MATSim software framework, to investigate the usage of two different solution concepts for the problem of predicting intra- household joint travel: (a) a "Group Utility" concept, classical in the research on household decision-making, and (b) an "Absence of Blocking Coalition" concept, which allows to represent selfish but coordinating players with arbitrary social network topologies. The implementations of those solution concepts in MATSim are used on a scenario for the Zurich area, to reveal their strengths and weaknesses.2
Publication date / Date received: 2014-05-01
Publication status: Ascona
Publication status: Published
Event name: 14th Swiss Transport Research Conference (STRC 2014)
Event date: May 14-16, 2014
Place: Ascona, Switzerland
Language: English
DBID source: FORM-1400086923
, Dubernet, Thibaut, Axhausen, Kay W., 2014 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Using a MultiAgent Transport Simulation to Study the Impact of the Preference for Joint Activities on Leisure Trip Distance Distribution
Abstract: 2
Publication date / Date received: 2014-01-01
Publication status: Unpublished
Event name: 3rd International Workshop on Citizen Networks (CitiNet 2014) - Satellite meeting of the European Conference on Complex Systems
Event date: September 25, 2014
Place: Lucca, Italy
Language: English
DBID source: FORM-1419951030
, Dubernet, Thibaut, Axhausen, Kay W., 2014 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Using a Multi-Agent Transport Simulation to Study the Impact of the Preference for Joint Activities on Leisure Trip Distance Distribution
Abstract: 2
Publication date / Date received: 2014-01-01
Publication status: Published
Event name: 3rd Symposium of the European Association for Research in Transportation (hEART 2014)
Event date: September 10-12, 2014
Place: Leeds, UK
Language: English
DBID source: FORM-1411402183
, Dubernet, Thibaut, Axhausen, Kay W., 2014 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: A multiagent simulation framework for evaluating bike redistribution systems in bike sharing schemes
Abstract: In the recent years, more and more cities implement bike sharing schemes, where a set of bike is available for short-term rental between an origin and a destination station. Those systems are seen as an effective way to improve the image of biking in a city, but come with operational challenges. One particularly difficult problem is bike redistribution. Indeed, asymmetry in the travel demand and aversion for uphill riding often leads to shortage of bikes in stations with lots of departures and shortage of available slots in stations with lots of arrivals. This leads to the necessity to design redistribution strategies, usually by having light trucks take bikes from some stations and put bikes in others. The design of redistribution strategies to allow the provision of a reasonable Level of Service has mainly been studied under the angle of optimization, using historical data to create a model of demand. However, none of those approaches contains a model of the reaction of the demand to a change in the quality of the redistribution process. This paper thus takes the problem from a different angle: rather than designing optimal relocation strategies given a demand, it proposes a method to estimate the reactions of demand to a change in the relocation strategy. It demonstrates the usage of multi-agent activity-based simulation to estimate the reactions of demand to changes in the relocation strategies, taking into account explicitly the fact that a more efficient redistribution strategy will lead to a higher level of service, generating a new demand that might change the quality of the redistribution. This simulation system is tested on a scenario for the Zurich area, Switzerland, analysing the reaction of demand to two ideal redistribution strategies, i.e. no redistribution and optimal redistribution. Simulations show a big difference in demand depending on the quality of the redistribution, and even though no specific behavioral parameters for bike sharing were included, they seem to be able to reproduce the most salient characteristics of bike sharing travel from structural constraints only.2
Published in: Arbeitsberichte Raum- und Verkehrsplanung
Volume: 1010
Publication date / Date received: 2014-01-01
Publication status: Zürich
Publication status: Published
Language: English
DBID source: FORM-1406992292
, Dubernet, Thibaut, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Using a multi-agent simulation tool to estimate the car-pooling potential
Abstract: It is a general trend in transportation planning to try to reduce the use of car driven by a single person. This can be achieved by different means: more efficient public transport, increase in the usage of individual non-motorised vehicles, or sharing of a vehicle for all or a fraction of a trip. This paper focuses on evaluating the potential of the latter. The factors influencing the potential of such a mode are manifold: behavioral, structural (number of potential matches), organisational (quality of available services to meet co-travelers). . . In previous studies, mainly the behavioral and organisational factors were analyzed. This paper focuses on the structural factor. To do so, the highly detailed daily plans generated by the multi-agent microsimulation software MATSim are searched for potential matches. Information about the potential matches is used to assess the feasibility of carpooling. In particular, it is shown that it is possible to group most of the car trips into two-person car-pools. The results of the analysis lead to the conclusion that there is no structural obstacle to carpooling development, and thus that the causes of the low share of this mode is to search in both the behavioral and organisational factors.2
Published in: Arbeitsberichte Verkehrs- und Raumplanung
Volume: 799
Publication date / Date received: 2013-01-01
Publication status: Zürich
Publication status: Published
Event name: 92nd Annual Meeting of the Transportation Research Board
Event date: January 13-17, 2013
Place: Washington, DC, USA
Language: English
DBID source: FORM-1345197095
, Dubernet, Thibaut, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Including joint decision mechanisms in a multiagent transport simulation
Abstract: In recent years, there has been a growing interest in the social dimension of travel, and how travel decisions are influenced not only by the global state of the transportation system, but also by joint decisions and interactions with social contacts. Empirical studies pointed out the relevance of certain types of social interactions to model travel behavior correctly: synchronization of household members has been identified as significantly influencing individual's travel decisions, and friendships were shown to influence the choice of leisure locations. Multiagent approaches, by representing decision making at the level of the individual, seem to be one of the most promising approaches to take into account such interactions when forecasting. The work presented here extends a state of the art multiagent simulation software, MATSim, with capabilities to capture joint decisions. It consists of a general framework to allow arbitrary joint behaviors to be represented, without constraints on the topology of the social network. An implementation of this framework for the important case of intrahousehold ride sharing is proposed, and demonstrated on a simple test scenario. The results show that the extended process is able to find the expected state, and is mature for validation against travel diary data.
Published in: Transportation letters
Volume: 5
Issue: 4
Pages: 175 - 183
ISSN: 1942-7867, 1942-7875
Publication date / Date received: 2013-01-01
Publication status: Plantation, FL
Publication status: Published
Subjects: Activity based, Car pooling, Households, Joint trips, MATSim, Microsimulation
Language: English
Keyword: Activity based, Car pooling, Households, Joint trips, MATSim, Microsimulation
DBID source: FORM-1382528095, WOS-000328366400003
DOI: 10.1179/1942787513Y.0000000002
, Dubernet, Thibaut, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Implementing a Social Joint Activity-Travel Multi-agent Simulation Tool: Method and First Results for Intrahousehold Ride Sharing
Abstract: 2
Publication date / Date received: 2013-01-01
Publication status: Unpublished
Event name: Smart Cities, Complexity and Urban Networks. Satellite meeting of the European Conference on Complex Systems (ECCS 2013)
Event date: September 16-20, 2013
Place: Barcelona, Spain
Language: English
DBID source: FORM-1376323216
, Dubernet, Thibaut, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Implementing a Social Joint Activity-Travel Multi-agent Simulation Tool: Method and First Results for Intrahousehold Ride Sharing
Abstract: 2
Publication date / Date received: 2013-01-01
Event name: Satellite Conference "Smart Cities, Complexity and Urban Networks" - ECCS '13
Event date: 18 September 2013
Place: Barcelona, Spain
Language: English
DBID source: FORM-1420899285
, Dubernet, Thibaut, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: First Results of an Household Joint Activity-Travel Multi-Agent Simulation Tool
Publication date / Date received: 2013-01-01
Publication status: Published
Event name: Frontiers in Transportation – Social Interactions Workshop
Event date: July 31 - August 4, 2013
Place: Herrsching am Ammersee, Germany
Language: English
DBID source: FORM-1376322705
, Dubernet, Thibaut, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: A Framework to Represent Joint Decisions in a Multi-Agent Transport Simulation
Abstract: Mobility simulation softwares are tools which can be used for policy evaluation or to test behavioral assumptions. While a wide range of softwares are being developped, with a wide range of approaches and assumptions, most of them focus on the representation of individual decision making. Joint decision making, on the contrary, has received much less consideration, probably due to the difficulty to represent it accurately and efficiently, and the reasonable predictions that can already be produced whithout considering it. Joint decisions may however have an important influence on mobility behaviors: household members need to coordinate to use a limited number of vehicles; groups of friends need to negociate on a place to get dinner. In particular, it is hypothesised that location choice for leisure activities is strongly influenced by the possibility to meet social contacts at destination. Thus, representing accurately such processes may allow to fill the gap observed between predictions and observations in travel distance distribution for leisure trips. This paper presents an approach to simulate such joint decision processes using the MATSim multi-agent simulation framework. It uses two main components: an approach to generate joint plans, and an approach to correlate individual-level plan choice, knowing the constraints imposed by the joint plans. The approach is designed to be usable on arbitrary social network structures. The behavior on a simple test scenario for the social network of intra-household ties is presented.
Publication date / Date received: 2013-01-01
Publication status: Published
Event name: 13th Swiss Transport Research Conference (STRC 2013)
Event date: April 24-26, 2013
Place: Ascona, Switzerland
Language: English
DBID source: FORM-1367317434
, Dubernet, Thibaut, 2013 >>
Author(s): Dubernet, Thibaut
Title: The New MATSim Routing Infrastructure
Publication date / Date received: 2013-01-01
Publication status: Published
Event name: MATSim User Meeting
Event date: June 10-11, 2013
Place: Zürich, Switzerland
Language: English
DBID source: FORM-1376322172
, Dubernet, Thibaut, 2013 >>
Author(s): Dubernet, Thibaut
Title: Including individual's coordination in a multi-agent transport simulation
Abstract: 2
Publication date / Date received: 2013-01-01
Publication status: Published
Event name: 13th Swiss Transport Research Conference (STRC 2013)
Event date: April 24-26, 2013
Place: Ascona, Switzerland
Language: English
DBID source: FORM-1376321693
, Vitins, Basil J., Dubernet, Thibaut, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2012 >>
Author(s): Vitins, Basil J., Dubernet, Thibaut, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: MATSim Moduswahl Untersuchungen
Published in: final report to VW AG, Wolfsburg
Publication date / Date received: 2012-01-01
Language: German
DBID source: FORM-1357731029
, Dubernet, Thibaut, Axhausen, Kay W., 2012 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Including joint trips in a multi-agent transport simulation
Abstract: Among the simulation approaches, the activity-based approach is used increasingly in operational models. It allows both to focus on individual behavioural rules, and to model behaviour at a much finer level than more aggregated approaches. A behaviour that one can and should model is the joint travel behaviour: the fact that several individuals may travel in the same private vehicle. An appropriate modeling of such a behaviour is important both for detailed simulations of households behaviour and for the evaluation of some policies, like incentives to perform car-pooling. We present an approach to include such a simulation of joint travel in a multi-agent microsimu- lation, considering the case of MATSim as an example. First results of this approach for the Zürich region are presented.2
Publication date / Date received: 2012-01-01
Publication status: Zürich
Publication status: Published
Subjects: Activity-based, Joint trips, Car pooling, Microsimulation
Event name: 12th Swiss Transport Research Conference (STRC 2012)
Event date: May 2-4, 2012
Place: Ascona, Switzerland
Language: English
Review status: Peer reviewed
Keyword: Activity-based, Joint trips, Car pooling, Microsimulation
DBID source: FORM-1335972630
DOI: 10.3929/ethz-a-007250989
Nebis system number: 007250989
, Dubernet, Thibaut, Axhausen, Kay W., 2012 >>
Author(s): Dubernet, Thibaut, Axhausen, Kay W.
Title: Including joint trips in a multi-agent transport simulation
Published in: Working paper / Transport and Spatial Planning
Volume: 787
Publication date / Date received: 2012-01-01
Publication status: Zürich
Publication status: Published
Event name: 13th International Conference on Travel Behaviour Research
Event date: July 15-20, 2012
Place: Toronto, Ontario, Canada
Language: English
Review status: Unknown
DBID source: FORM-1342252303
DOI: 10.3929/ethz-a-007328841
Nebis system number: 007328841
, Dubernet, Thibaut, 2012 >>
Author(s): Dubernet, Thibaut
Title: Introducing Joint Trips in a Multi-Agent Transport Simulation
Publication date / Date received: 2012-01-01
Publication status: Published
Event name: IVT Seminar: Fahrzeuge teilen
Event date: May 16, 2012
Place: Zürich, Switzerland
Language: English
DBID source: FORM-1347375399
, Dubernet, Thibaut, 2012 >>
Author(s): Dubernet, Thibaut
Title: Including joint trips in a Multi-Agent transport simulation
Publication date / Date received: 2012-01-01
Publication status: Published
Event name: MATSim Annual User Meeting and Tutorial 2012
Event date: March 19-23, 2012
Place: Berlin, Germany
Language: English
Review status: Unknown
DBID source: FORM-1347375784
, Dubernet, Thibaut, 2011 >>
Author(s): Dubernet, Thibaut
Title: Introducing joint trips in a multi-agent transport simulation: from agents to clique replanning
Abstract: MATS im is a multi-agent transport simulation software, based on an iterative relaxation procedure. In this framework, each agent is assigned a daily plan consisting of a sequence of trips and activities, to which a score is associated. Daily plans are optimised knowing the state of the traffic flows. The system iterates between traffic flow simulation and plan modification, until an equilibrium is reached. In this report, the ability for the agent to travel together with other agents is introduced. This is done by passing from optimisation of the scores of individual plans to the optimisation of scores associated to joint plans. To perform such an optimisation, a genetic algorithm is used, which is presented. This algorithm is able to improve the scores of a joint plan by identifying pertinent joint trips. However, clues show remaining convergence difficulties, which are analysed.2
Publication date / Date received: 2011-01-01
Publication status: Zürich
Publication status: Published
Language: English
DBID source: FORM-1342251759

 

 

 

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