Amanda Stathopoulos

Journal publications [7]

2017

Varotto S., Glerum A., Stathopoulos A., Bierlaire M., Longo G. (2017). Mitigating the impact of errors in travel time reporting on mode choice modelling. Journal of Transport Geography 62 :236-246


@Article{VaroGlerStatBierLong17,
  author = {Silvia Varotto and Aur\'elie Glerum and Amanda Stathopoulos and Michel Bierlaire and Giovanni Longo},
  title = {Mitigating the impact of errors in travel time reporting on mode choice modelling},
  journal = {Journal of Transport Geography},
  year = {2017},
  volume = {62},
  pages = {236-246},
  DOI = {10.1016/j.jtrangeo.2017.05.016},
  note = {Accepted on May 31, 2017}}}

2014

Hess S., Stathopoulos A. (2014). A mixed random utility � Random regret model linking the choice of decision rule to latent character traits. Journal of Choice Modelling


@Article{as_jocm_2014,
  author = {Stephane Hess and Amanda Stathopoulos},
  title = {A mixed random utility {\textemdash} Random regret model linking the choice of decision rule to latent character traits},
  journal = {Journal of Choice Modelling},
  year = {2014},
  DOI = {10.1016/j.jocm.2013.12.005},
  note = {Accepted on Jan 06, 2014}}}

Stathopoulos A., Marcucci E. (2014). De Gustibus Disputandum Est: Non-Linearity in Public Transportation Service Quality Evaluation . International Journal of Sustainable Transportation 8 (1):47-68


@Article{as_ijst_2014,
  author = {Amanda Stathopoulos and Edoardo Marcucci},
  title = {De Gustibus Disputandum Est: Non-Linearity in Public Transportation Service Quality Evaluation },
  journal = {International Journal of Sustainable Transportation},
  year = {2014},
  volume = {8},
  number = {1},
  pages = {47-68},
  DOI = {10.1080/15568318.2012.758523},
  note = {Accepted on Dec 11, 2012}}}

2013

Hess S., Stathopoulos A., Campbell D., O'Neill V., Caussade S. (2013). It�s not that I don�t care, I just don�t care very much: confounding between attribute non-attendance and taste heterogeneity. Transportation 40 (3):583-607


@Article{as_t_2012,
  author = {Stephane Hess and Amanda Stathopoulos and Danny Campbell and Vikki O'Neill and Sebastian Caussade},
  title = {It{\textquoteright}s not that I don{\textquoteright}t care, I just don{\textquoteright}t care very much: confounding between attribute non-attendance and taste heterogeneity},
  journal = {Transportation},
  year = {2013},
  volume = {40},
  number = {3},
  pages = {583-607},
  DOI = {10.1007/s11116-012-9438-1},
  note = {Accepted on Oct 08, 2012}}}

Hess S., Stathopoulos A. (2013). Linking response quality to survey engagement: A combined random scale and latent variable approach. Journal of Choice Modelling 7 ():1-12


@Article{as_jocm_2013,
  author = {Stephane Hess and Amanda Stathopoulos},
  title = {Linking response quality to survey engagement: A combined random scale and latent variable approach},
  journal = {Journal of Choice Modelling},
  year = {2013},
  volume = {7},
  pages = {1-12},
  DOI = {10.1016/j.jocm.2013.03.005}}}

2012

Stathopoulos A., Hess S. (2012). Revisiting reference point formation, gains-losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment. Transportation Research Part A: Policy and Practice 46 (10):1673-1689


@Article{as_tra_2012,
  author = {Amanda Stathopoulos and Stephane Hess},
  title = {Revisiting reference point formation, gains-losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment},
  journal = {Transportation Research Part A: Policy and Practice},
  year = {2012},
  volume = {46},
  number = {10},
  pages = {1673-1689},
  DOI = {10.1016/j.tra.2012.08.005},
  note = {Accepted on Aug 14, 2012}}}

Marcucci E., Stathopoulos A. (2012). Multi-level governance and transport policy: the case of local roads in Italy. International journal of transport economics 39 (1):15-38


@Article{ijte_2012,
  author = {Edoardo Marcucci and Amanda Stathopoulos},
  title = { Multi-level governance and transport policy: the case of local roads in Italy},
  journal = {International journal of transport economics},
  year = {2012},
  volume = {39},
  number = {1},
  pages = {15-38}}}

Books [1]

Marcucci E., Gatta V., Valeri E., Stathopoulos A. (2013) Urban freight transport modelling: an agent-specific approach . FrancoAngeli [ISBN 9788856859836 ]


@Book{freightbook13,
  author = {Edoardo Marcucci and Valerio Gatta and Eva Valeri and Amanda Stathopoulos},
  title = {Urban freight transport modelling: an agent-specific approach },
  publisher = {FrancoAngeli},
  ISBN = {9788856859836 },
  year = {2013}}}

Articles in conference proceedings [4]

2014

Fernandez-Antolin A., Stathopoulos A., Bierlaire M. (2014) Exploratory Analysis of Endogeneity in Discrete Choice Models. Proceedings of the 14th Swiss Transport Research Conference (STRC), 14-16 May, Ascona, Switzerland


@InProceedings{FerStaBie_STRC2014,
  author = {Anna Fernandez-Antolin and Amanda Stathopoulos and Michel Bierlaire},
  title = {Exploratory Analysis of Endogeneity in Discrete Choice Models},
  booktime = {Proceedings of the 14th Swiss Transport Research Conference (STRC), 14-16 May},
  year = {2014},
  address = {Ascona, Switzerland}}}

Hänseler F., Molyneaux N., Bierlaire M., Stathopoulos A. (2014) Schedule-based estimation of pedestrian demand within a railway station. Proceedings of the Swiss Transportation Research Conference (STRC), 14-16 May, Ascona, Switzerland


@InProceedings{Haens_STRC_2014,
  author = {Flurin H\"anseler and Nicholas Molyneaux and Michel Bierlaire and Amanda Stathopoulos},
  title = {Schedule-based estimation of pedestrian demand within a railway station},
  booktime = {Proceedings of the Swiss Transportation Research Conference (STRC), 14-16 May},
  year = {2014},
  address = {Ascona, Switzerland}}}

Varotto S., Glerum A., Stathopoulos A., Bierlaire M. (2014) Modelling travel time perception in transport mode choices. Proceedings of the 14th Swiss Transport Research Conference (STRC), May 14-16, Ascona, Switzerland


@InProceedings{VarGleStaBie_STRC2014,
  author = {Silvia Varotto and Aur\'elie Glerum and Amanda Stathopoulos and Michel Bierlaire},
  title = {Modelling travel time perception in transport mode choices},
  booktime = {Proceedings of the 14th Swiss Transport Research Conference (STRC), May 14-16},
  year = {2014},
  address = {Ascona, Switzerland}}}

2013

Stathopoulos A., Glerum A., Thémans M., Bierlaire M. (2013) Dynamic vehicle ownership forecasting: a framework to model inter-temporal renewal decisions. Proceedings of the Swiss Transportation Research Conference (STRC), April 24-26, Ascona, Switzerland


@InProceedings{StaGleTheBie,
  author = {Amanda Stathopoulos and Aur\'elie Glerum and Micha\"el Th\'emans and Michel Bierlaire},
  title = { Dynamic vehicle ownership forecasting: a framework to model inter-temporal renewal decisions},
  booktime = {Proceedings of the Swiss Transportation Research Conference (STRC), April 24-26},
  year = {2013},
  address = {Ascona, Switzerland}}}

Talks [7]

2013

Stathopoulos A., Glerum A., Thémans M., Bierlaire M. A framework to model inter-temporal renewal decisions May 30, 2013. 8th Workshop on discrete choice models, EPFL, Lausanne.


@Misc{sta_dcworkshop8,
  author = {Amanda Stathopoulos and Aur\'elie Glerum and Micha\"el Th\'emans and Michel Bierlaire},
  title = {A framework to model inter-temporal renewal decisions},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/sta_dcworkshop8.pdf}},
  year = {2013},
  note = {Presented at 8th Workshop on discrete choice models, EPFL, Lausanne}}}

Stathopoulos A., Glerum A., Thémans M., Bierlaire M. Dynamic vehicle ownership forecasting: a framework to model inter-temporal renewal decisions April 25, 2013. Swiss Transportation Research Conference, , Ascona, Switzerland.


@Misc{sta_strc2013,
  author = {Amanda Stathopoulos and Aur\'elie Glerum and Micha\"el Th\'emans and Michel Bierlaire},
  title = { Dynamic vehicle ownership forecasting: a framework to model inter-temporal renewal decisions},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/sta_strc2013.pdf}},
  year = {2013},
  note = {Presented at Swiss Transportation Research Conference, , Ascona, Switzerland}}}

2012

Stathopoulos A., Glerum A., Thémans M., Bierlaire M. Car demand in the future: enriching forecasting models with market dynamics, behavioural variables and policy evolution November 14, 2012. Research and innovation for transport systems in of the future, Paristech, Ministère Recherche et Enseignement Supérieur, Paris.


@Misc{sta_ritf,
  author = {Amanda Stathopoulos and Aur\'elie Glerum and Micha\"el Th\'emans and Michel Bierlaire},
  title = {Car demand in the future: enriching forecasting models with market dynamics, behavioural variables and policy evolution},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/sta_ritf.pdf}},
  year = {2012},
  note = {Presented at Research and innovation for transport systems in of the future, Paristech, Minist\ère Recherche et Enseignement Sup\érieur, Paris}}}

Stathopoulos A., Glerum A., Thémans M., Bierlaire M. Dynamic vehicle ownership forecasting September 05, 2012. Latsis Symposium 2012, EPFL, EPFL.


@Misc{sta_latsis,
  author = {Amanda Stathopoulos and Aur\'elie Glerum and Micha\"el Th\'emans and Michel Bierlaire},
  title = {Dynamic vehicle ownership forecasting},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/sta_latsis.pdf}},
  year = {2012},
  note = {Presented at Latsis Symposium 2012, EPFL, EPFL}}}

Stathopoulos A., Marcucci E. Heterogeneity in Urban Freight Policy Analysis: The Case of Own-Account Retailers and Transport Providers in Rome's LTZ July 17, 2012. The 13th International Conference on Travel Behavior Research, University of Toronto.


@Misc{STATHOPOULOS_iatbr2,
  author = {Amanda Stathopoulos and Edoardo Marcucci},
  title = {Heterogeneity in Urban Freight Policy Analysis: The Case of Own-Account Retailers and Transport Providers in Rome's LTZ},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/STATHOPOULOS_iatbr2.pdf}},
  year = {2012},
  note = {Presented at The 13th International Conference on Travel Behavior Research, University of Toronto}}}

Hess S., Stathopoulos A. Linking the decision process to underlying constructs in a latent variable latent class approach: first round July 16, 2012. The 13th International Conference on Travel Behavior Research, University of Toronto.


@Misc{STATHOPOULOS_iatbr1,
  author = {Stephane Hess and Amanda Stathopoulos},
  title = {Linking the decision process to underlying constructs in a latent variable latent class approach: first round},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/STATHOPOULOS_iatbr1.pdf}},
  year = {2012},
  note = {Presented at The 13th International Conference on Travel Behavior Research, University of Toronto}}}

Stathopoulos A. Modeling alternative fuel vehicle purchases: a discrete choice experiment February 10, 2012. NECTAR CLUSTER 2 Workshop Urban and Regional Transport: Regulation, Sustainability, E-Mobility, Dresden University of Technology, Germany.


@Misc{statdresden,
  author = {Amanda Stathopoulos},
  title = {Modeling alternative fuel vehicle purchases: a discrete choice experiment},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/statdresden.pdf}},
  year = {2012},
  note = {Presented at NECTAR CLUSTER 2 Workshop  Urban and Regional Transport: Regulation, Sustainability, E-Mobility, Dresden University of Technology, Germany}}}

Reviewing [11]

Research projects [1]

2012

A DYNAMIC VEHICLE CHOICE FORECASTING FRAMEWORK

The aim of this research project is to develop a dynamic model framework to forecast car demand. The model-system jointly accounts for behavioural variables (e.g. household evolution, individual motivations), institutional factors (e.g. incentives and taxation) and market features (e.g. new fuel or vehicle technology launches) to forecast vehicle acquisition. The project benefits from a large-scale, longitudinal dataset on vehicle transactions from major European markets. Methodologically the framework consists of a system of aggregate, disaggregate and duration-based choice models, accounting for dynamic features of the decision at each stage. Importantly, the proposed dynamic framework enhances realism by representing the durability of possession, rapid changes in value across product and ownership cycles and uncertainty about future market developments and institutional factors. The proposed framework sheds light on the timing and type of vehicle ownership, illustrating the benefits of taking the first steps away from a static approach. The findings will aid the prediction of consumer behaviour in response to critical policy variables, such as incentives, alongside market dynamics, such as the appearance and diffusion of novel technologies. A deeper understanding of future vehicle choice behaviour is critical given sizable institutional and industrial investments to promote alternative vehicle technologies with a final aim to improve energy efficiency in the transportation sector. More information http://transport.epfl.ch/car-market-structure
- Apr 01, 2012 - Apr 30, 2013
- Sponsor: PSA Peugeot-Citroën
- Principal investigator: Michel Bierlaire
- Project manager: Amanda Stathopoulos
- Collaborator: Aur�lie Glerum

EPFL courses [3]

Spring 2014

Decision-aid methodologies in transportation.
- Level: Master
- Section: Civil Engineering
- Lecturers: Amanda Stathopoulos, Jianghang Chen
- Teaching assistants: Iliya Markov, Anna Fernandez Antolin
- Webpage: http://transp-or.epfl.ch/courses/decisionAid2014

Fall 2013

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturers: Michel Bierlaire, Amanda Stathopoulos
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin
- Webpage: http://transp-or.epfl.ch/courses/dca2013/

Fall 2012

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistants: Antonin Danalet, Amanda Stathopoulos
- Webpage: http://transp-or.epfl.ch/courses/dca2012/

Lectures [1]

2012

Modelling the Choice of Alternative Fuel Vehicles.
- Lectures in doctoral programme, section 'government and institutions', University of 'Roma Tre', Rome
- Feb 27, 2012
- Lecturer: Amanda Stathopoulos

MSc theses [2]

2014

Exploring approaches to model financial decisions, Billal Mahoubi (Civil Engineering)
- Supervision: Amanda Stathopoulos, Michel Bierlaire
- External expert:

2013

How perceptions affect the modal choice? A cross country comparison from a gender oriented point of view, Silvia Francesca Varotto (None)
- Supervision: Michel Bierlaire, Amanda Stathopoulos, Aurélie Glerum
- External expert:

Semester projects [6]

2013-2014

Schedule-based estimation of pedestrian travel demand within a quasi-uncongested railway station, Quentin Mazars-Simon (Communication Systems)

Supervision: Flurin Hänseler, Amanda Stathopoulos
In many railway stations, capacity limits are reached at peak hours and congestion in pedestrian facilities occurs. There is thus a general need to analyze and model pedestrian flows in train stations. In this process, estimating pedestrian origin-destination demand and, more precisely, route flows is a major challenge. The ultimate goal of this research project is to dynamically predict pedestrian travel demand within a train station based on train time table and train track assignment. To this end, a preliminary methodology has been developed. This framework needs to be refined and extended in many ways, which can be an interesting and suitable task for a semester or Master's thesis. Your thesis would be part of a comprehensive project employing pedestrian tracking, flow modeling and infrastructure optimization. All ideas and model concepts will be tested, parametrized and validated on a real case study.

Modeling the demand for financial products, Billal Mahoubi (Civil Engineering)

Supervision: Amanda Stathopoulos
This MA pre-project focuses on developing a demand model for financial products. The work is carried out in collaboration with a trading service partner an based on real data on commodity portfolio investments. The project will cover the following: i) a literature review on the demand for financial products, behavioural finance on trading choices, ii) development of a demand model on the client data that is able to qualify the impact of different determinant (price, spread, client features, external events) on decisions to buy/sell the commodity, iii) testing the model on different scenarios (sensitivity to different changes in conditions) and validation. The work comprises: conceptual modeling, data elaboration/exploration and empirical model development, hence this pre-project and the related MA project requires skills in mathematics, management of large data, statistics/econometrics related to discrete choice models and some knowledge of behavioural theories in finance.

2013

Enhancement of Naville's Press Delivery Regulation Tool: An Exploratory Analysis, Lea Kissling (Mathematics)

Supervision: Evanthia Kazagli, Amanda Stathopoulos
The aim of this project is to explore data driven complementary strategies to the existing allocation strategy of Naville, in order to provide guidance for potential improvements of the existing allocation tool of the company. In this project the student will investigate the potential benefits of including a wider set of data in order to identify press demand patterns over time. Accounting for consumer profiles, detailed sale points data, geographical area, external events, etc., will enable a more accurate understanding and anticipation of demand fluctuations. Drawing from the results of this analysis we will provide recommendations for improvements of the existing tool used by Naville. The proposed exploratory project can form the basis for a further work on the challenging theme of modeling and predicting demand and optimizing distribution strategies in the context of declining and uncertain evolution of the press market.

Modelling car ownership duration, Natalie Sauerwald (Mathematics)

Supervision: Amanda Stathopoulos, Aurélie Glerum
Household vehicle ownership influences many aspects of travel demand, with pronounced impact for energy consumption, travel mode distribution, residential location patterns and city attractiveness. Despite a large number of vehicle choice models focusing on the type of car chosen, formal modelling of the timing and duration of ownership has received relatively little attention. Statistical models known as duration (hazard) models can be used to estimate the distribution of vehicle ownership lengths in a population. A central interest is to identify the determinants of the time that elapses between two automobile transactions, including characteristics of the car and household and macroeconomic/policy variables. In addition, the influence of less tangible factors such as expectations regarding the market, future vehicle launches, propensity for planning and personal aspirations may have a large impact on the timing of renewal and vehicle ownership duration. We have a large dataset available containing rich information on vehicle acquisitions and are looking for a student to collaborate on data elaboration, exploration and development of a duration model for vehicle ownership. Several assumptions for the hazard function and innovative determinants of ownership spells will be considered. The student should be familiar with management of large data, statistics/econometrics and have some notion of behavioral theories of decision-making.

Movement patterns of pedestrians on platforms, Nicholas Alan Molyneaux

Supervision: Flurin Hänseler, Amanda Stathopoulos
To understand how people access a train station by means of trains, the arrival and departure pattern of pedestrians on platforms is of interest. In particular, the embarkation/disembarkation behavior of train passengers is an important factor for congestion in pedestrian facilities. The departure pattern of pedestrians awaiting to board a train has been shown to follow a beta distribution. In contrast to that, arriving passengers usually enter a train station as a very dense crowd, causing a theoretical inflow that exceeds the capacity of pedestrian facilities. The goal of this work is to mathematically describe the arrival and departure patterns caused by single trains as well as for platforms on which multiple trains follow each other in close succession. Very detailed pedestrian tracking data of platform 3/4 in Gare de Lausanne will form the basis of this analysis. Basic programming skills or a strong willingness to acquire such knowledge is desired.

2012-2013

Modelling the choice of vehicle in an extended framework, Areg Gevorgyan (Management of Technology and Financial Engineering)

Supervision: Amanda Stathopoulos
It is becoming increasingly clear that models of vehicle choice need to find a way to measure complex consumer substitution patterns across products and over time, while accounting for a wealth of features that modulate the buying experience. This means that planning, acquisition and use of the vehicle is linked through features such as attitudes, life-event changes, status aspirations and perceptions of making a good deal. We have a large dataset available containing rich information on vehicle acquisitions and are looking for a student to collaborate on data elaboration, exploration and modelling that factors in richer behavioral variables than is common in traditional vehicle choice models. Methodologically the choice of vehicle will be modeled using random utility discrete choice demand systems. The student should be familiar with management of large data, statistics/econometrics and have some notion of behavioral theories of decision-making. The work will start with exploring the structure in the data, formulating simple models to identify some constructs and segments in the data then move towards a more formal choice model with perceptual/attitudinal components.