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  • 1. Anderstig, Christer
    et al.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Integrating SCGE and I-O in Multiregional Modelling2013In: Employment Location in Cities and Regions: Models and Applications / [ed] Francesca Pagliara, Michiel de Bok, David Simmonds, Alan Wilson, Berlin, Heidelberg: Springer Berlin/Heidelberg, 2013, p. 159-180Chapter in book (Other academic)
    Abstract [en]

    Economic activities can be modeled at different levels of aggregation. Different levels of detail regarding spatial or temporal resolution, or levels of sectoral aggregation are appropriate depending on the question at hand. In cases where changes on the micro scale affects what happens at the macro level, and vice versa, an integrated approach is required. In this paper a modeling framework is presented, where focus is placed on the interactions between production and employment. The aggregate spatial computable general equilibrium model STRAGO is interacted with the highly detailed input-output model system rAps. Interregional and intersectoral relations of production, including agglomeration, are represented in the aggregate model, providing a coarse description of production by which the rAps model system is constrained. Such constraints will affect where individuals may find a suitable job. At the same time the aggregate model is dependent on the labour supply, provided by rAps, in determining production. An application of the proposed modeling framework is presented where future projections are compared to historical data.

  • 2.
    Blom Västberg, Oskar
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics. Royal Institute of Technology.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
    Jonsson, R. Daniel
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
    A dynamic discrete choice activitybased travel demand modelManuscript (preprint) (Other academic)
    Abstract [en]

    During the last decades, many activity-based models have been developed in the literature. However, especially in random utility based models timing decisions are often treated poorly or inconsistently with other choice dimensions. In this paper we show how dynamic discrete choice can be used to overcome this problem. In the proposed model, trip decisions are made sequentially in time, starting at home in the morning and ending at home in the evening. At each decision stage, the utility of an alternative is the sum of the one-stage utility of the action and the expected future utility in the reached state.

    The model generates full daily activity schedules with any number of trips that each is a combination of one of 6 activities, 1240 locations and 4 modes. The ability to go from all to all locations makes evaluating the model very time consuming and sampling of alternatives were therefore used for estimation. The model is estimated on travel diaries and simulation results indicates that it is able to reproduce timing decisions, trip lengths and distribution of the number trips within sample.

    To explain when people perform different activities, two sets of parameters are used: firstly, the utility of being at home varies depending on the time of day; and secondly, constants determine the utility of arriving to work at specific times. This was enough to also obtain a good distribution of the starting times for free-time activities.

  • 3.
    Fadaei, Masoud
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Using Sparse GPS Data to Estimate Route Choice Models with Correlated Path Costs2012Conference paper (Refereed)
  • 4.
    Fadaei, Masoud
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Consistently estimating link speed using sparse GPS data with measured errors2014In: Transportation: Can we do more with less resources? – 16th Meeting of the Euro Working Group on Transportation – Porto 2013, Elsevier, 2014, p. 829-838Conference paper (Refereed)
    Abstract [en]

    Data sources using new technology such as the Geographical Positioning System are increasingly available. In many different applications, it is important to predict the average speed on all the links in a network. The purpose of this study is to estimate the link speed in a network using sparse GPS data set. Average speed is consistently estimated using Indirect Inference approach. in the end, the Monte Carlo evidence is provided to show that the results are consistent with parameter estimates.

  • 5.
    Fadaei, Masoud
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Estimating flexible route choice models using sparse data2012In: Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on, IEEE conference proceedings, 2012, p. 1215-1220Conference paper (Refereed)
    Abstract [en]

    GPS and nomad devices are increasingly used to provide data from individuals in urban traffic networks. In many different applications, it is important to predict the continuation of an observed path, and also, given sparse data, predict where the individual (or vehicle) has been. Estimating the perceived cost functions is a difficult statistical estimation problem, for different reasons. First, the choice set is typically very large. Second, it may be important to take into account the correlation between the (generalized) costs of different routes, and thus allow for realistic substitution patterns. Third, due to technical or privacy considerations, the data may be temporally and spatially sparse, with only partially observed paths. Finally, the position of vehicles may have measurement errors. We address all these problems using a indirect inference approach. We demonstrate the feasibility of the proposed estimator in a model with random link costs, allowing for a natural correlation structure across paths, where the full choice set is considered.

  • 6. Gospic, Katarina
    et al.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Maeder, Johanna
    Fransson, Peter
    Petrovic, Predrag
    Isacsson, Gunnar
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Ingvar, Martin
    Altruism costs-the cheap signal from amygdala2014In: Social Cognitive & Affective Neuroscience, ISSN 1749-5016, E-ISSN 1749-5024, Vol. 9, no 9, p. 1325-1332Article in journal (Refereed)
    Abstract [en]

    When people state their willingness to pay for something, the amount usually differs from the behavior in a real purchase situation. The discrepancy between a hypothetical answer and the real act is called hypothetical bias. We investigated neural processes of hypothetical bias regarding monetary donations to public goods using fMRI with the hypothesis that amygdala codes for real costs. Real decisions activated amygdala more than hypothetical decisions. This was observed for both accepted and rejected proposals. The more the subjects accepted real donation proposals the greater was the activity in rostral anterior cingulate cortex-a region known to control amygdala but also neural processing of the cost-benefit difference. The presentation of a charitable donation goal evoked an insula activity that predicted the later decision to donate. In conclusion, we have identified the neural mechanisms underlying real donation behavior, compatible with theories on hypothetical bias. Our findings imply that the emotional system has an important role in real decision making as it signals what kind of immediate cost and reward an outcome is associated with.

  • 7.
    Habibi, Habibi
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
    Frejinger, Emma
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Aggregation of alternatives and its influence on predictionManuscript (preprint) (Other academic)
    Abstract [en]

    In car type choice models, alternatives are usually grouped into categories by some of their main characteristics such as make, model, vintage, body type and/or fuel type. Each of these categories contains di erent versions of the cars that are usually not recognized in the applied literature. In this study we empirically investigate whether including the heterogeneity of these versions in the modeling does matter in estimation and prediction or not. We use detailed data on alternatives available on the market down to the versions level of each model, which enables us to account for heterogeneity in the model. We also have Swedish car registry data to represent demand. We estimate separate discrete choice models with diferent methods of correction for alternative aggregation, including nesting structure. These models are estimated based on year 2006 Swedish registry data for new cars, and predict for 2007. The results show that including heterogeneity of cars' versions in the model improves model tness but it does not necessarily improve prediction results.

     

  • 8.
    Habibi, Habibi
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    An empirical study of predicting car type choice in Sweden using cross-validation and feature-selectionManuscript (preprint) (Other academic)
  • 9.
    Habibi, Shiva
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Frejinger, Emma
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    An Empirical study of aggregation of alternatives and its influence on prediction: case study of car type choice in Sweden2012Conference paper (Other academic)
  • 10.
    Habibi, Shiva
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Model combination for capturing the inconsistency in the aggregate predictionManuscript (preprint) (Other academic)
    Abstract [en]

    What is the appropriate aggregation level for modeling when the purpose of modelingis aggregate prediction: is it to estimate a disaggregate model and aggregateindividual predictions or estimate an aggregate model for the aggregate prediction?There is no unique answer to this old question in the literature as well as no generalmethodology to address the problem. In this paper, we propose to tackle theaggregation problem by employing and developing model combination methods tocombine aggregate and disaggregate models. Dierent aspects of aggregation arecovered in this paper: aggregation over time, individuals and alternatives. We examinethe eect of aggregation on the prediction accuracy of a nested multinomiallogit (NMNL). The application of interest is to predict the monthly share of cleancars in the Swedish car eet. We investigate a situation wherein the large scalemodels are already estimated, and we are interested in improving their predictionperformance in a post-processing manner. We combine NMNL with a regressiontree to capture individual heterogeneity as well as a time-series model to capturedynamics of the market share of clean cars at the aggregate level. Models are combinedthrough a latent variable model and a Bayesian model averaging approach.We propose aggregate likelihood as the likelihood to be maximized for the modelselection and combination when the purpose of modeling is aggregate prediction.The results show the increase in the predictive power of combined models.

  • 11.
    Habibi, Shiva
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Prediction-driven approach to model selection using feature selection and nonrandom hold-out validationManuscript (preprint) (Other academic)
    Abstract [en]

    In this paper, we address the forecast problem and propose a prediction drivenapproach to model selection. Furthermore, we investigate to what extent dierentprediction questions lead to dierent \best" models. Most of the studies in theeld, take an inference-driven approach to select the best model and project theresults to the future population. In contrast, we take a prediction-driven approachfor both selection criteria and validation sample. We use feature (variable) selectionand nonrandom hold-out validation to select the model with the highest predictiveperformance in an out-of-sample prediction manner. The application of interest iscar type choice modeling using the Swedish car eet data. We introduce two dier-ent types of model selection criteria: maximum likelihood which is the conventionalmethod of model selection, and root mean squared error of the prediction quantityof interest. We compare the best models obtained by dierent criterion functions.The results show that the \best" model for the purpose of prediction depends con-siderably on the prediction question of interest. Moreover, when the objective isto predict a sub-section of a population such as the total share of ethanol cars,maximizing log-likelihood is not the most accurate model selection criterion.

  • 12.
    Karlström, Anders
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Fadaei, Masoud
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Estimating flexible route choice models using sparse data2012Report (Other academic)
    Abstract [en]

    GPS and nomad devices are increasingly used to provide data from individuals in urban traffic networks. In many different applications, it is important to predict the continuation of an observed path, and also, given sparse data, predict where the individual (or vehicle) has been. Estimating the perceived cost functions is a dicult statistical estimation problem, for different reasons. First, the choice set is typically very large. Second, it may be important to take into account the correlation between the (generalized) costs of different routes, and thus allow for realistic substitution patterns. Third, due to technical or privacy considerations, the data may be temporally and spatially sparse, with only partially observed paths. Finally, the position of vehicles may have measurement errors. We address all these problems using a indirect inference approach. We demonstrate the feasibility of the proposed estimator in a model with random link costs, allowing for a natural correlation structure across paths, where the full choice set is considered.

  • 13.
    Karlström, Anders
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Forsman, Joakim
    Gain loss asymmetry and emotional salience drives hypothetical bias: A computational neuroeconomic study2012Report (Other academic)
  • 14.
    Karlström, Anders
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Wang, Qian
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Consistently estimating flexible route choice models using an MNL lens2012In: Transportation Research Part B: Methodological, ISSN 0191-2615, E-ISSN 1879-2367Article in journal (Refereed)
  • 15.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics, Transport and Location Analysis.
    Dynamic Spatial CGE Frameworks - Specifications and simulationsManuscript (preprint) (Other academic)
  • 16.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Transport and Location Analysis (closed 20110301).
    Dynamic Spatial CGE Frameworks - Specifications and simulations2005Report (Other academic)
  • 17.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics, Transport and Location Analysis.
    Economic Effects of the Öresund Bridge - A spatial computable general equilibrium analysis.Manuscript (preprint) (Other academic)
  • 18.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Effekter av kilometerskatt2012Conference paper (Refereed)
  • 19.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics, Transport and Location Analysis.
    Essays on Spatial Economies and Organization2009Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis concerns both static and dynamic modeling in a spatial computable general equilibrium setting. First, we have applied a static framework for the assessment of economic impacts of the Öresund bridge. Secondly, we make an attempt to enhance the static framework through the introduction of economic dynamics. Third, we introduce the STRAGO model, incorporating monopolistic competition, dynamics and additive transport costs. STRAGO is applied to the analysis of effects from a kilometer tax on freight. The last paper presents a framework for studying the division, or fragmentation of production. This framework uses the standard theory of monopolistic competition, with a production chain extension, through a recursive view of markets. The optimal level of fragmentation in such industries is studied.

  • 20.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics, Transport and Location Analysis.
    Fragmenting Production in Monopolistically Competitive Industries.Manuscript (preprint) (Other academic)
  • 21.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Transport and Location Analysis (closed 20110301).
    Km-taxes in spatial computable general equilibrium2010Conference paper (Other academic)
  • 22.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Marginalkostnaden för publika medel2011Conference paper (Refereed)
  • 23.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Optimal fragmentation in monopolistically competitive industries2012In: The annals of regional science, ISSN 0570-1864, E-ISSN 1432-0592, Vol. 48, no 1, p. 1-32Article in journal (Refereed)
    Abstract [en]

    Trade in intermediate goods necessitates the viewpoint that final goods are received through a sequential process of production. In this paper, we explore the role of vertical and horizontal complementarities in production and the effects of such complementarities on the level of fragmentation in production. We analyze the optimal level of fragmentation. Using a production chain point of view in a basic monopolistically competitive model allows us to derive analytical results regarding the level of fragmentation, both vertically and horizontally. As the economy grows, our model indicates an increasing level of roundaboutness in production. We also study forces for vertical specialization between countries by extending our framework into a two-country setting.

  • 24.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Regional Ekonomi2011Conference paper (Refereed)
  • 25.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics, Transport and Location Analysis.
    Spatial computable general equilibrium modelling: static and dynamic approaches2005Licentiate thesis, comprehensive summary (Other scientific)
    Abstract [en]

    This thesis concerns both static and dynamic modeling in a spatial computable general equilibrium setting. First, we have applied a static framework for the assessment of economic impacts of the Öresund bridge. Secondly, we make an attempt to enhance the static framework through the introduction of economic dynamics.

    In the first paper we study the economic impacts of the Öresund bridge. We aim to quantify regional welfare effects as well as effects on regional production and trade. We calibrate a static spatial computable general equilibrium model to economic data representing the Öresund region. In particular we have calibrated a pre-bridge barrier parameter which enables us to study possible barrier reduction effects from the bridge. We present results both as effects of cross strait transport cost reductions and of barrier reductions. It is found that the potential impacts of removing barriers to trade may outweigh the impacts solely due to reduced transport costs.

    In the second paper we consider different specifications of a dynamic spatial computable general equilibrium model. In particular we are interested in the effects of different, commonly used assumptions on transition dynamics of such a model. We have specified models with different assumptions regarding capital mobility, the utility specification of the households and assumptions regarding perfect foresight or myopia. A number of simulations have been performed with these models in order to observe policy responses and in order to be able to make specification comparisons of the different models based on those responses. We consider the time in takes for the dynamic models to converge toward the long term steady state to be of importance for welfare assessment of policies and find that convergence may be slow depending on both the model and the policy considered.

  • 26.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics, Transport and Location Analysis.
    The Development of STRAGO - With application to a kilometer tax.Manuscript (preprint) (Other academic)
  • 27.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Transport and Location Analysis (closed 20110301).
    The development of STRAGO - with application to a kilometer tax2009Report (Other academic)
  • 28.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    The marginal cost of public funds in general equilibrium2011Conference paper (Other academic)
  • 29.
    Sundberg, Marcus
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Anderstig, Christer
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Integrating SCGE and I-O in multiregional modelling: problems and prospects2012Conference paper (Refereed)
  • 30.
    Tikoudis, Ioannis
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Public Investment in a Simulated Spatial Overlapping Generations Model with Heterogenous Skill2011In: Journal of Transport and Land Use, ISSN 1938-7849, E-ISSN 1938-7849Article in journal (Refereed)
  • 31.
    Tikoudis, Ioannis
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Public investment in simulated spatial overlapping generations model with heterogenous skillManuscript (preprint) (Other academic)
  • 32.
    Tikoudis, Ioannis
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    The effects of transport infrastructure on regional economic development: A simulated spatial overlapping generations model with heterogenous skill2012In: Journal of Transport and Land Use, ISSN 1938-7849, Vol. 5, no 2, p. 77-101Article in journal (Refereed)
    Abstract [en]

    As a result of public investment, lower freight transport costs tend to translate into lower local price indices and are associated with equilibria characterized by higher output and consumption. In this paper we investigate an additional effect to these trade gains, namely the gains from better spatial matching in the labor market. We simulate a two-region Spatial OLG model in which agents are heterogeneous in terms of skill. Under repeated simulation experiments, we show that, for high household relocation frictions, the possibility of interregional commuting can be seen as an alternative way to realize the potential matching effects. For high levels of skill heterogeneity and a plausible parametric input, a steady state in which labor matching is realized through commuting can be associated with up to 10% higher per capita output, compared to the one with homogenous labor, in which only gains from trade are feasible.

  • 33.
    Wang, Qian
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Bias correction via Indirect Inference for Mixed Logit estimation under sampling of alternatives2013Conference paper (Refereed)
  • 34.
    Wang, Qian
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Bias correctionvia Indirect Inference for Mixed Logit estimation under sampling of alternativesManuscript (preprint) (Other academic)
  • 35.
    Wang, Qian
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Scheduling choices under rank dependent utility maximization2014In: Transportation: Can we do more with less resources? – 16th Meeting of the Euro Working Group on Transportation – Porto 2013, Elsevier, 2014, p. 301-310Conference paper (Refereed)
    Abstract [en]

    Scheduling preferences, derived under the assumption of expected utility maximization, can be used for measuring the value of travel time variability. As an alternative to the expected utility maximization, the rank dependent utility is chosen in this paper. Considering a flexible probability weighting for ranked outcomes, two frequently applied scheduling models are derived and estimated on a data set with specific travel time distributions. Optimistic respondents are observed. Allowing for heterogeneity of scheduling preferences improves the model performance significantly. We also found evidence for valuing excessive travel time, which is not included in the traditional scheduling model specifications.

  • 36.
    Wang, Qian
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
    On the other half of the story: allowing for discrete penalties for excessive travel times in scheduling models2012Conference paper (Refereed)
    Abstract [en]

    In this paper, a discrete penalty for excessive travel times is introducedinto scheduling models whose maximal expected utilities have attractivetheoretical features of linearity in standard deviation or variance. Theextended models maintain the properties of linearity, and its maximalexpected utility depends on the shape of the travel time distribution.The value of travel time and its variability could be measured indirectlyby the scheduling preferences. The results from empirical data revealthat the extended models, with such a discrete penalty, provide a highlysignificant better goodness of fit to the data. Furthermore, introducingthe penalty for excessive travel time has a strong effect on the estimatesof the other scheduling parameters, thus affecting the valuations of traveltime. Our findings indicate that, apart from the mean and standarddeviation (or variance), individuals value other characteristics of traveltime distribution, in particular the probability of excessive travel time.

  • 37.
    Wang, Qian
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
    Scheduling choices under rank dependent utility maximization2012Conference paper (Refereed)
    Abstract [en]

    Scheduling preferences, derived under the assumption of expected utilitymaximization, can be used for measuring value of travel time variability.As an alternative to expected utility maximization, rank dependent utilityis chosen in this paper. Considering a flexible probability weighting forranked outcomes, two frequently applied scheduling models are derived,and estimated on a data set with specific travel time distributions. Optimisticrespondents are observed. Allowing for heterogeneity of schedulingpreferences improves the model performance significantly. We also foundevidence for valuing excessive travel time, which is not included in thetraditional scheduling model specifications.

  • 38.
    Zhang, Wei
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Sundberg, Marcus
    KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Karlström, Anders
    KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Platoon coordination with time windows: An operational perspective2017In: 20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary, Elsevier, 2017, Vol. 27, p. 357-364Conference paper (Refereed)
    Abstract [en]

    It has been reported that platooning has the potential of saving fuel and increasing traffic throughput. We formulate a platoon coordination problem with soft time windows as a mixed-integer linear programming problem and solve it with exact solutions. The objective function consists of operation costs, schedule miss penalties and fuel costs. In the numerical example, a Swedish highway network model is used and the computation result shows that, for 21 vehicles, the total cost can be reduced by 3.5% when the optimal preferred arrival times are chosen. A random disturbance is then added to the optimal time windows and the optimal result shows great sensitivity with respect to the disturbance. When the mean of the disturbance becomes larger than 10 minutes, more than half of the platooning benefits will be lost. The study also analyzes the change of different cost compositions as disturbance increases.

1 - 38 of 38
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