Anders Karlström

Anders Karlström
KTH Royal Institute of Technology | KTH · Department of Transport Science

ph.d

About

61
Publications
12,866
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2,130
Citations
Additional affiliations
October 1999 - present
KTH Royal Institute of Technology
Position
  • Professor (Full)

Publications

Publications (61)
Article
Full-text available
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 th...
Article
Full-text available
Activity time allocation was modelled as allocating a continuous quantity into multiple discrete alternatives. However, only a few studies have considered the influence of the travel time that needs to be spent on reaching the activity location in activity time allocation problems. Moreover, travel time itself is influenced by individuals’ mode cho...
Article
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Given that severe weather conditions are becoming more frequent, it is important to understand the influence of weather on an individual’s daily activity-travel pattern. While some previously rare events are becoming more common, such as heavy rain, unpredicted snow, higher temperatures, it is still largely unknown how individuals will change and a...
Article
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There is a considerable body of studies on the relationship between daily transport activities and CO2 emissions. However, how these emissions vary in different weather conditions within and between the seasons of the year is largely unknown. Because individual activity–travel patterns are not static but vary in different weather conditions, it is...
Article
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Using a hierarchical structured equation model and a multi-dimensional 3-week household time-use and activity diary conducted in Bandung Metropolitan Area, Indonesia, this study investigated the interaction among individuals’ non-instrumental variables, time space (such as their day-to-day time duration of activity participation, socio-demographics...
Article
This study examines the interdependencies among an individual's time allocation for different activities and the travel time spent on a given day, socio-demographic and built environment variables on these in-home and out-of-home discretionary activities time duration, and how interaction of those variables on discretionary activities time duration...
Article
Understanding travel behaviour change under various weather conditions can help analysts and policy makers incorporate the uniqueness of local weather and climate within their policy design, especially given the fact that future climate and weather will become more unpredictable and adverse. Using datasets from the Swedish National Travel Survey an...
Conference Paper
Full-text available
Understanding mechanisms underlie the individual's daily time allocations is very important to understand the variability of individual's time-space constraints and to forecast his/her daily activity participation. At most of previous studies, activity time allocation was viewed as allocating a continuous quantity (daily time budget) into multiple...
Article
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Using the 2011 Swedish national travel survey data, this paper explores the influence of weather characteristics on individuals' home-based trip chaining complexity. A series of panel mixed ordered Probit models are estimated to examine the influence of individual/household social demographics, land use characteristics, and weather characteristics...
Article
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Using four consecutive days of SITRAMP 2004 data from the Jakarta metropolitan area (JMA), Indonesia, this study examines the interactions between individuals’ activity-travel parameters, given the variability in their daily constraints, resources, land use and road network conditions. While there have been a significant number of studies into day-...
Article
Using the SITRAMP dataset, which was collected in the Jakarta metropolitan area, Indonesia, over four consecutive days, this study examines day-to-day variability of individuals’ activity spaces. The impact of individual heterogeneity and variability of transport network conditions on day-to-day variability of activity spaces is also investigated....
Article
This paper presents a dynamic discrete choice model of activity scheduling that features classic time-geography properties within a microeconomic framework. We present results that show how the model can produce accessibilities that form space–time prisms, while retaining the properties of traditional measures based on consumer surplus in the form...
Article
By jointly modelling the routine and leisure activity–travel engagements of non-commuters in different regions of Sweden, this paper explores the interactions between time allocation, travel demand and mode choice under different weather conditions. Combined weather and travel survey datasets that span a period of over 13 years were analysed. Simul...
Conference Paper
Full-text available
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...
Article
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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 sc...
Article
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This research focuses on the formulation of a dynamic discrete-continuous choice model to explain and predict individuals choices regarding car ownership, choice of fuel type and choice of annual driving distance. Its main contribution is to integrate dynamic choice modeling for multiple-car households and discrete-continuous choice modeling. This...
Article
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This paper considers the path choice problem, formulating and discussing an econometric random utility model for the choice of path in a network with no restriction on the choice set. Starting from a dynamic specification of link choices we show that it is equivalent to a static model of the multinomial logit form but with infinitely many alternati...
Conference Paper
In this paper we analyze the prediction problem and focus on building a multi-nomial logit model (MNL) to predict accurately, the market shares of new cars in the Swedish car fleet in the short-term future. Also, we investigate whether or not different prediction questions lead to different 'best' models' specifications. Most of the studies in the...
Article
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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 hypoth...
Article
This article estimates the Value of Commuting Time (VOCT) among Swedish males in an empirical on-the-job search model. It uses a large sample of employee-establishment linked data obtained from administrative registers. The sample lacks information on mode choice for the journey to work. We therefore estimate a mode choice model on another sample a...
Article
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Car ownership and usage can vary importantly across years due to various factors, such as the introduction of new governmental policies, changes in the available technologies or variations of the market features. In order to explain and predict these changes, appropriate demand models are needed. Cars are durable goods and households account for th...
Article
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We formulate a dynamic discrete-continuous choice model (DDCCM) of car ownership, usage and fuel type. The framework embeds a discrete-continuous choice model (DCCM) into a dynamic programming (DP) framework to account for the forward-looking behavior of households in the context of car acquisition. More specifically, we model the of transaction ty...
Article
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In this paper we present themethodological framework of a dynamic discrete-continuous choice model (DDCCM) of car ownership, usage and fuel type. The approach consists of embedding a discrete-continuous choice model into a dynamic programming (DP) framework. This work proposes the following novel features. First, decisions are modeled at a househol...
Article
Full-text available
In this research we specify a dynamic discrete-continuous choice model (DDCCM) of car ownership and usage. This model embeds a discrete-continuous choice model into a dynamic programming (DP) framework. The DDCCM allows to jointly model the transaction type, the annual driving distance, the fuel type, the car ownership status and the car state (i.e...
Article
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 t...
Conference Paper
Full-text available
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 e...
Article
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This note summarizes the results from the project SURPRICE: Trip timing and scheduling preferences. The general emphasis of this project is the importance of trip timing as a cause of congestion. It is important to recognize that departure time is a choice of travellers and that congestion arises because many travellers choose to travel at the same...
Article
A difference in logsum terms (also known as inclusive values) is becoming a standard practice for anticipating the welfare impacts of transport policy when choice alternatives are discrete and behavior is (assumed to be) random-utility maximizing. However, this calculation is only an approximation when the population under study is finite. This pap...
Article
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We study the welfare implications of a hypothetical reform of the Swedish public pension system where eligibility to pension benefits is delayed by 3 years. Using an option value model, we consider the labor supply responses to the reform and develop a compensating variation (CV) measure to analytically assess the individual welfare changes in a ra...
Article
In recent years, there has been an increasing awareness that travel time reliability, apart from expected travel time, is an important component of cost-benefit analysis, especially during congested traffic conditions. A common measure of travel time reliability is standard deviation, and it has been shown that this is a theoretically sound measure...
Article
This paper assesses the horizontal and vertical equity effects of the Stockholm Trial with Congestion Pricing for morning commuters, in terms of both travel behavioral adjustments and welfare effects, as a result of the toll's direct effects and the behavioral adjustments. We consider specifically two behavioral adjustments: mode choice and departu...
Article
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Contemporary accessibility and space syntax research faces an almost symmetrical problem when it comes to analysing and predicting urban pedestrian movement. Both are interested in urban pedestrian movement since it is a crucial issue for the functionality and sustainability of cities, their walkability and liveability (see Jacobs 1961; Williams et...
Article
The influence of under sleeper pads (USP) on dynamic train–track interaction is investigated in a parameter study. Two numerical models that are valid in different frequency intervals are used. The time-domain model DIFF is used to study wheel–rail contact forces, rail bending moments, rail vibrations (displacements, velocities and accelerations),...
Article
We study the effect of a reform of the Swedish disability insurance (DI) program whereby the special eligibility rules for workers in the age group 60 to 64 were abolished. First, we use a differences-in-differences approach to study changes in the disability take-up as compared to the age group 55 to 59. Then, we use a similar approach to study to...
Article
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We derive the value of reliability in the scheduling of an activity of random duration, such as travel under congested conditions. We show that the minimal expected cost is linear in the mean and standard deviation of duration, regardless of the form of the standardized distribution of durations. This insight provides a unification of the schedulin...
Article
Spatially explicit, multi-scale models for predictions of species potential distribution can be useful tools for integrating biodiversity considerations in planning and strategic environmental assessment. In such models, the occurrences of focal species are related to habitat and landscape variables, which in urbanising areas should also include ef...
Article
In this paper we discuss Hicksian demand and compensating variation in the context of discrete choice. We first derive Hicksian choice probabilities and the distribution of the (random) expenditure function in the general case when the utilities are nonlinear in income. We subsequently derive exact and simple formulae for the expenditure and choice...
Article
This paper presents an empirical analysis of how Sweden's public old age pension system affects the retirement decision. We focus on male blue-collar workers whose dominant income source as retired comes from the public old age pension system. We develop a dynamic programming model using the rules for the public pension system. In addition to the e...
Article
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Substantive income effects are incorporated in a logit or nested-logit model by assuming that utility is a piece-wise linear spline function of residual income. Specific income data are not required, only income by category. Expected compensating variation is easily and accurately approximated by the difference between expected maximum utility in t...
Article
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We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints....
Article
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An exact formula for the expected compensating variation is derived for logit and nested-logit models with income effects. Intuition, examples, and an application are provided. The appendix contains a formal proof. The formula is applied to estimate the E[cv]s salmon anglers in Maine would associate with changes in catch rates at Maine and Canadian...
Article
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In this paper a new measure of spatial association, the S statistics, is developed. The proposed measure is based on information theory by defining a spatially weighted information measure (entropy measure) that takes the spatial configuration into account. The proposed S-statistics has an intuitive interpretation, and furthermore fulfills properti...
Article
. In this paper we develop a spatial association statistic for flow data by generalizing the statistic of Getis-Ord, G i (and G i *). This local measure of spatial association, G ij, is associated with each origin-destination pair. We define spatial weight matrices with different metrics in flow space. These spatial weight matrices focus on differe...
Article
Full-text available
A difference in logsum terms (also known as inclusive values) is becoming standard practice for anticipating the welfare impacts of transport policy when choice alternatives are discrete and behavior is (assumed to be) random-utility maximizing. This paper examines the effect of error term correlations in such analyses, recognizing that individual...
Article
Full-text available
This paper presents estimates of the value of commuting time obtained from a model of subjective life satisfaction in the context of a household. The model is estimated on Swedish data that contains information on subjective life satisfaction for cohabitating persons. The data set also contains infor-mation on individuals' and partners' commuting t...
Article
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This paper focuses on the effects of commuting time on sickness insurance utilization by applying a generalized propensity score estimator to a large sample of Swedish employees. We analyse the effect of commuting time both on the probability of using sickness insurance at all and on the probability that an individual on sick leave is on so-called...
Article
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We present a model, SCAPES, scheduling daily activity patterns, that treat sequential decision making under uncertainty in a frame-work consistent with microeconomics. The scheduling is modelled as a Markov Decision Process, which allows for an explicitly sequential decision making in an uncertain environment. At each state the agents in the model...
Article
Full-text available
We propose a dynamic discrete choice approach for consistently estimat-ing route choice model parameters based on path observations using max-imum likelihood. The approach is computationally efficient and does not require choice set sampling.

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