The 2000s were dominated by rising fuel prices and economic recession. Both had an impact on the structure of the trucking industry and how freight was moved. This paper examines how fuel prices shaped trucking industry’s network characteristics such as the average length of haul, average load, and capacity utilization. In particular, we show the effect of fuel price on average length of haul using 29 quarterly independent surveys from the Danish heavy goods vehicle (HGV) trip diary from 2004 to 2011. The results show that the average length of haul is sensitive to changes in fuel price: a DKK 1 (0.18$) increase in diesel price/liter leads to a 4 percent decrease in the average length of haul in the 2004-2007 period. This implies that firms improve transport efficiency by reducing the number of kilometers needed to transport a tonne of cargo as a short run response to fuel price increases. This result, however, is not confirmed for the years following the 2008 financial crisis. It also depends on where in the distribution of the average length of haul one looks.

Although the aviation industry is increasingly becoming important for Africa's economic development and integration, the ability of airlines to access foreign markets remains hindered by restrictive regulatory policies. Attempts have been made to fully liberalize the intra-African air transport market. Except for general assertions about the merits/demerits of liberalization, our empirical understanding of the welfare effects of such polices in Africa remains rudimentary. This study empirically measures the economic effects of air transport liberalization, mainly on two supply side variables: fare and service quality, measured as departure frequency. The empirical models evaluate how air fares and departure frequency respond to measures of openness in air services agreements, while controlling for other determinants. The results show up to 40% increase in departure frequency in routes that experienced some type of liberalization compared to those governed by restrictive bilateral air service agreements. Furthermore, there is a relatively larger increase in departure frequency in routes which experienced partial liberalization compared to fully liberalized ones. This can be explained by the diminishing marginal effect of progressive liberalization on departure frequency. While the effect of liberalization is substantial in improving service quality, there is no evidence of its fare reducing effect.

Although the aviation industry is increasingly becoming important for Africa's economic development and integration, the ability of airlines to access foreign markets remains hindered by restrictive regulatory policies. Attempts have been made to fully liberalize the intra-African air transport market. Except for general assertions about the merits/demerits of liberalization, our empirical understanding of the welfare effects of such polices in Africa remains rudimentary. This study empirically measures the economic effects of air transport liberalization, mainly on two supply side variables: fare and service quality, measured as departure frequency. The results show up to 40 % increase in departure frequency in routes that experienced some type of liberalization compared to those governed by restrictive bilateral air service agreements. While the effect of liberalization is substantial in improving service quality, there is no evidence of its fare reducing effect.

This paper proposes a discrete bidding model for both quantities and pricing. It has a two-unit demand environment where subjects bid for contracts with an unknown redemption value, common to all bidders. Prior to bidding, the bidders receive private signals of information on the (common) value. The value and the signals are drawn from a known discrete affiliated joint distribution. The relevant task for the paper is to compare the equilibrium strategies and the seller’s revenue of three auction formats. We find that, of the three auctionformats below with two players, the discriminatory auction always gives the largest revenue to the seller; both the uniform and the Vickrey auction have zero revenue equilibrium strategies that put them further down in the revenue ranking. In equilibrium, bidders bid the same amount on both items in the discriminatory auction; a phenomenon not noted in either of the other auction formats.

The purpose of this study is to illustrate the methodology that can be used in calculations of the cost to society when disruptions in the infrastructure occurs, specifically for traffic on road and rail. The principles and values that are recommended to be used in social cost-benefit analyses (CBA) in the Swedish transport sector are proposed by the ASEK-group (a working-group addressing issues on the application of CBA in the transport sector), and decided by the Swedish Transport Administration. They will be taken as given on the cost side of the CBA in this study, there will not be a benefit side since the interest for this study lies expressively on the cost side. This study is thus not a normative analysis, the aim is instead to study and apply methodologies for valuing (in monetary terms) the consequences of already occurred disturbances. The various ASEK-values require information about several aspect of the trips when calculating the value of travel time and transport time, as well as when calculating the delays and the value of travel time savings in congestion. Even though the ASEK-values are recommended by the Swedish Transport Administration, they are also questioned, especially for freight transport. This is also addressed in the report.

This report is a literature review on the marginal social costs of aviation, and is a sub-project to VTI’s project about updating the knowledge of the external costs of traffic (SAMKOST). The report discusses which impacts of aviation are external, and which are already internalized. It is not entirely clear which impacts that should be considered as the relevant marginal costs for aviation. For example, both congestion and accidents are seen as internalized since they are already taken care of through the air traffic control service, a service that all aircraft must use in Swedish airspace by law. Similar arguments applies to the infrastructure. The large external effect is aviation’s environmental impact. It is separated into three different categories; the impact of noise, air quality and the impact on the climate.

This study addresses a discrete common value environment with independent (one-dimensional) private signals, where the seller offers two identical units and the buyers have (flat) demand for both. Each session is conducted with2, 3 or 4 buyers. Three auction formats are used: the discriminatory, uniformand Vickrey auctions which are all subjected to a variation in the number of bidders and to repeating bid rounds on each subject. The main findings are that there are no significant differences between the uniform and the discriminatory auction in collecting revenue, while the Vickrey auction comes out as inferior. More bidders in the auction result in a greater revenue and level out the performance across the mechanisms. Demand reduction is visible in the experiment, but it is not as prominent as anticipated. Moreover, subjects come closer to equilibrium play over time. Finally, the winner’s curse is less severe than what is reported for inexperienced bidders in other studies.

It is still an open question whether the dynamic or the static format should be used in multi-unit settings, in a uniform price auction. The present study conducts an economic experiment in a common value environment, where it is found that it is more a question of whether the auctioneer wants to facilitate price discovery, and thereby lessen the otherwise pervasive overbidding, or if only the revenue is important. The experiment in the present paper provides evidence that the static format gives a significantly greater revenue than the dynamic auction, in both small and large group sizes. But a higher revenue comes at a cost; half of the auctions in the static format yield negative profits to the bidders, the winner’s curse is more severely widespread in the static auction, and only a minority of the bidders use the equilibrium bidding strategy.

Research on auctions that involve more than one identical item for sale was,almost non-existing in the 90’s, but has since then been getting increasing attention. External incentives for this research have come from the US spectrum, sales, the European 3G mobile-phone auctions,  and Internet auctions. The policy relevance and the huge amount of money involved in many of them have helped the theory and experimental research advance. But in auctions where values are equal across bidders, common value auctions, that is, when the value depends on some outside parameter, equal to all bidders, the research is still embryonic.

This thesis contributes to the topic with three studies. The first uses a Bayesian game to model a simple multi-unit common value auction, the task being to compare equilibrium strategies and the seller’s revenue from three auction formats; the discriminatory, the uniform and the Vickrey auction. The second study conducts an economic laboratory experiment on basis of the first study. The third study comprises an experiment on the multi-unit common value uniform auction and compares the dynamic and the static environments of this format.

The most salient result in both experiments is that subjects overbid. They are victims of the winner’s curse and bid above the expected value, thus earning a negative profit. There is some learning, but most bidders continue to earn a negative profit also in later rounds. The competitive effect when participating in an auction seems to be stronger than the rationality concerns. In the first experiment, subjects in the Vickrey auction do somewhat better in small groups than subjects in the other auction types and, in the second experiment, subjects in the dynamic auction format perform much better than subjects in the static auction format; but still, they overbid.

Due to this overbidding, the theoretical (but not the behavioral) prediction that the dynamic auction should render more revenue than the static fails inthe second experiment. Nonetheless, the higher revenue of the static auction comes at a cost; half of the auctions yield negative profits to the bidders, and the winner’s curse is more severely widespread in this format. Besides, only a minority of the bidders use the equilibrium bidding strategy.The bottom line is that the choice between the open and sealed-bid formats may be more important than the choice of price mechanism, especially in common value settings.

The paper surveys the literature on optimal taxation with emphasis on intermediate goods, or, more specific, freight (road) transport. There are two models frequently used, first, the one emanated from Diamond & Mirrlees' (1971) paper, where the production efficiency lemma made it clear that intermediate goods was not to be taxed. And, second, the Ramsey-Boiteux model where a cost-of-service regulation imposes a budget constraint for the regulated firm. In the latter model, in contrast to the first, freight transports (intermediate goods) are to be taxed in the Ramsey tradition, and thus trades the production efficiency lemma against a budget restriction. The paper also discusses welfare effects due to environmental tax reforms, with emphasis to what has become to known as the double dividend hypothesis. Finally, administrative costs in the context of optimal taxation is touched upon, a subject that is to a large degree repressed in optimal tax theory.

The paper surveys the literature on optimal taxation with emphasis on intermediate goods, or, more specific, freight (road) transport. There are two models frequently used, first, the one emanated from Diamond & Mirrlees' (1971) paper, where the production efficiency lemma made it clear that intermediate goods was not to be taxed. And, second, the Ramsey-Boiteux model where a cost-of-service regulation imposes a budget constraint for the regulated firm. In the latter model, in contrast to the first, freight transports (intermediate goods) are to be taxed in the Ramsey tradition, and thus trades the production efficiency lemma against a budget restriction. The paper also discusses welfare effects due to environmental tax reforms, with emphasis to what has become to known as the double dividend hypothesis. Finally, administrative costs in the context of optimal taxation is touched upon, a subject that is to a large degree repressed in optimal tax theory.

We propose in this paper a discrete bidding model, both on quantities and in pricing. It has a two-unit demand environment where subjects bid for contracts with an unknown redemption value, common to all bidders. Prior to bidding, the bidders receive private signals of information on the (common) value. Both the value and the signals are drawn from a known discrete affiliated joint distribution. The relevant task for the paper is to compare equilibrium strategies and the seller's revenue between the three auction formats. We find that, among the three auction formats below with two players, the Vickrey auction always gives the most revenue to the seller, where the discriminatory auction becomes second and the uniform auction last. We also find that, in equilibrium, bidders bid the same amount on both items in the discriminatory auction; a phenomenon we do not notice in either of the other two auction formats. There, different amount of demand reduction is encountered.

The main purpose of this study is to estimate the marginal costs of aviation infrastructure. But since it not exist a uniform definition of what is the cost base of the aviation infrastructure, there is also a discussion of what costs should be included. An additional purpose of the study is to relate the estimated marginal costs to today's pricing and to investigate whether aviation pays its socio-economic costs.

Estimates of the marginal cost of utilizing (relevant) airport infrastructure and for operating airline infrastructure is being analyzed using cost data from Stockholm Arlanda Airport and the Civil Aviation Authority. The empirical approach used to analyze cost items is a regression analysis, with adjustments for month-specific variations in travel patterns, when the airport section is investigated, and taking into account regional differences for airports when investigating air traffic control in the towers.

There are some uncertainties in the study, but in the light of this, the results indicate that the average marginal cost of the infrastructure is around SEK 13 per passenger and SEK1,168 per aircraft started. Corresponding estimation for air traffic management is also uncertain, with results indicating a marginal cost of SEK 373 per flight. Furthermore, it appears that the revenue from marginal cost-based charges could not alone finance the state aviation infrastructure.

In the last few decades, many railway markets (especially in Europe) have been restructured to allow competition between different operators. This survey studies how competition has been introduced and regulated in a number of different countries around the world. In particular, we focus on a central part of market regulation specific to railway markets, namely the capacity allocation process. Conflicting capacity requests from different train operators need to be regulated and resolved, and the efficiency and transparency of this process is crucial. Related to this issue is how access charges are constructed and applied. Several European countries have vertically separated their railway markets, separating infrastructure management from train services provisions, thus allowing several train operators to compete with different passengers and freight services. However, few countries have so far managed to create efficient and transparent processes for allocating capacity between competing train operators, and incumbent operators still have larger market-share in many markets.

Many models have been developed and used to analyse the costs and benefits of transport investments. Similar tools can also be used for transport operation planning and capacity allocation. An example of such use is the assessment of commuter train operations and service frequency. In this study, we analyse the societally optimal frequency for commuter train services. The aim is to reveal the implicit valuation (by the public transport agency) of the waiting time and the in-vehicle crowding in the commuting system. We use an analytic CBA model to formulate the societal costs of a certain service frequency and analyse the societally optimal frequencies during peak and off-peak hours. Comparing the optimal and the actual frequencies allows to reveal the implicit valuations of waiting time and crowding. Using relevant data from the commuter train services in Stockholm on a typical working day in September 2015 (e.g., OD matrix, cost parameters), we perform a numerical analysis on certain lines and directions. We find the societally optimal frequency and the implicit valuation of waiting time and crowding. The results suggest that the public transport agency in Stockholm (i.e., SL) adopted service frequencies that are generally slightly higher than societally optimum which can be explained by a higher implicit valuation of waiting time and crowding. We also find that the optimal frequencies are more sensitive to the waiting time valuation rather than that of crowding.

Methods for economic assessment are often used in the rail sector to evaluate large infrastructure investments such as new high-speed lines. With larger networks and ageing infrastructure, these methods can also be used for planning maintenance. In this paper, we focus on the newly introduced concept of maintenance windows in Sweden. These are pre-allocated slots in the train timetable dedicated to performing, among others, periodic/frequent maintenance activities. To justify the pre-allocation of such windows, this study presents a method to find minimal utilization rates depending on window designs and traffic situations. Using a cost-benefit approach, the windows are assessed using a total social cost including work costs, loss in traffic production and reliability gains in future traffic. Based on a case study from the Southern main line in Sweden, we study the minimal utilization rate in different test scenarios, i.e., night or day shifts, asset degradation functions and designs of maintenance windows. The results show that lower utilization rates (4-42%) can be accepted during low-volume traffic or for partial closures, while higher utilization rates (47-83%) are required for full closures during high-volume traffic. Whether the rates are measured as the share of used window time or the share of utilized windows is less important, especially when higher utilization is required. Sensitivity analyses of asset knowledge indicate that parameters such as asset degradation function and minimum asset quality (and to a lesser extent traffic volume, discount rate and failure likelihood) can have a substantial effect on the minimum required utilization rates.

Methods for economic assessment, e.g., cost-benefit analysis, are often used in the rail sector to evaluate large infrastructure investments such as building new high-speed railway lines. With larger railway networks and aging infrastructure, these methods can also be used for maintenance planning decisions. In this paper, we focus on basic maintenance and the newly introduced concept of maintenance windows in Sweden. These are pre-allocated slots in the annual train timetable dedicated to performing, among others, periodic/frequent maintenance activities such as inspections, maintenance and repairs. To justify the pre-allocation of such windows, this study presents a method to find minimal utilization rates depending on window designs and traffic situations. Using a cost-benefit approach, the maintenance windows are assessed using a total social cost including maintenance work costs, loss in traffic production and reliability gains in future traffic. Based on a case study from the Southern main line in Sweden, we study the minimal utilization rate in different test scenarios, i.e., night or day shifts, asset degradation functions and designs of maintenance windows. The results show that lower utilization rates (5-50%) can be accepted during low-volume traffic or for partial closures, while higher utilization rates (50-90%) are required for full closures during high-volume traffic. Whether the rates are measured as share of used window time or share of utilized windows is less important, especially when higher utilization is required.

On deregulated railway markets, efficient capacity allocation is important. We study the case where commercial trains and publicly controlled traffic (“commuter trains”) use the same railway infrastructure and hence compete for capacity. We develop a method that can be used by an infrastructure manager trying to allocate capacity in a socially efficient way. The method calculates the loss of social benefits incurred by changing the commuter train timetable to accommodate a commercial train path request and based on this calculates a reservation price for the train path request. If the commercial operator’s willingness-to-pay for the train path exceeds the loss of social benefits, its request is approved. The calculation of social benefits takes into account changes in commuter train passengers’ travel times, waiting times, transfers and crowding, and changes in operating costs for the commuter train operator(s). The method is implemented in a microscopic simulation program, which makes it possible to test the robustness and feasibility of timetable alternatives. We show that the method is possible to apply in practice by demonstrating it in a case study from Stockholm, illustrating the magnitudes of the resulting commercial train path prices. We conclude that marginal societal costs of railway capacity in Stockholm are considerably higher than the current track access charges.

On deregulated railway markets, efficient capacity allocation is important. We study the case where commercial trains and publicly controlled traffic (“commuter trains”) use the same railway infrastructure and hence compete for capacity. We develop a method that can be used by an infrastructure manager trying to allocate capacity in a socially efficient way. The method calculates the loss of societal benefits incurred by changing the commuter train timetable to accommodate a commercial train path request, and based on this calculates a reservation price for the train path request. If the commercial operator's willingness-to-pay for the train path exceeds the loss of societal benefits, its request is approved. The calculation of these benefits takes into account changes in commuter train passengers’ travel times, waiting times, transfers and crowding, and changes in operating costs for the commuter train operator(s). The method is implemented in a microscopic simulation program, which makes it possible to test the robustness and feasibility of timetable alternatives. We show that the method is possible to apply in practice by demonstrating it in a case study from Stockholm, illustrating the magnitudes of the resulting commercial train path prices. We conclude that marginal societal costs of railway capacity in Stockholm are considerably higher than the current track access charges.

Transaction costs have been an issue since the advent of the deregulation of the European railway markets in the 1990s. Transaction cost economics received renewed attention in research on the deregulated railway markets in the EU after the publications of two influential reports in the early 2010s. In this article, we develop a model that enables classification and measurement of transaction costs and other coordination costs in deregulated markets. This model is then used to analyze the costs of path allocation in the Swedish railway sector and to compare the results with findings in previous research. We also discuss the economic rationale of the distribution of coordination costs among the involved parties. Our key empirical findings are that the total coordination costs in the Swedish market-mimicking path allocation process are as low as or lower than the most cost-efficient market coordination processes studied in railway markets, and that the state administrations take on nearly all the coordination costs in order to minimize the effects of opportunism, rent-seeking and information impactedness. Another finding is that the size of the coordination costs found by different studies seems to be dependent on whether a bottom-up or a top-down approach is used.

There is a growing maintenance debt of ageing and critical infrastructures in many municipalities in European welfare states. In this article, we use the multidimensional concept of local capacity as a point of departure to analyse how and in what ways Swedish municipalities work with the routine maintenance of infrastructures, including municipal road networks as well as water and sewage systems. For the road networks, maintenance is generally outsourced to contractors and there is also a large degree of tolerance for various standards on different road segments within and between the municipalities. Less used road segments are not as prioritised as those with heavy traffic. For the water and sewage systems, in-house technical capacity is needed as differences in water quality are not tolerated. Economies of scale mean that in-house capacity is translated into the creation of inter-municipal bodies. As different forms of capacities tend to reinforce each other, municipal capacity builds up over time in circular movements. These results add knowledge to current research by pointing to the ways municipalities are overcoming a run-to-failure mentality by building capacity to pay off the infrastructural maintenance debt. © The Author(s) 2021.

This study examines individuals' perception of their own road-mortality risk. Swedish data on respondents' subjective risk beliefs is used and compared with objective risk estimates. The objective risk is defined as the risk of the respondent's own age and gender group, and it is found that low and high risk groups over- and underassess their risk levels, respectively. This study replicates the analysis used by Andersson and Lundborg (2007) and the pattern of over- and underassessment found confirms their findings. As in their study, risk beliefs are updated in line with the Bayesian learning model, a relationship not statistically significant in this study, though. Regarding results of individual characteristics and risk beliefs in both studies, whereas, e.g., gender effects are robust, other results suggest a weak relationship between the perception of own road-mortality risk and individual characteristics.

To elicit an affected population's preferences for, e.g., better health or environment stated preference (SP) methods are often used. SP methods are based on hypothetical market settings which necessitates validity tests of the results. This study describes a validity test on the basis of theoretical predictions and empirical findings for private and public safety measures. According to the test, public willingness to pay (WTP) should exceed private WTP.

Stated preference (SP) surveys attempt to obtain monetary values for non-market goods that reflect individuals "true" preferences. Numerous empirical studies suggest that monetary values from SP studies are sensitive to survey design and so may not reflect respondents' true preferences. This study examines the effect of time framing on respondents' willingness to pay (WTP) for car safety. We explore how WTP per unit risk reduction depends on the time period over which respondents pay and face reduced risk. Using data from a Swedish contingent valuation survey, we find that WTP is sensitive to time framing; estimates based on an annual scenario are about 30 to 70 percent higher than estimates from a monthly scenario.

Beginning as a planning tool within Sweden's national road administration some 50 years ago, benefit-cost analysis (BCA) has come to be a pillar of the national transport policy because of subsequent strategic choices made by the national parliament. These choices made it necessary to widen the analysis of costs to include also externalities and a foregone conclusion was that efficient investment priorities should be made based on BCA. But no one asked whether the political decision makers or the BCA models were up to that task. This paper reviews the institutional framework and practice of BCA in Sweden for transport infrastructure investment, and considers design issues that have been and still are debated, such as whether the discount rate should include a risk term and how to account for the marginal cost of public funds. A main concern with BCA results is the underestimation of construction costs, making transport sector projects look better than they are. Several ex post analyses have established that a higher NPV ratio increases the probability of being included in the investment program proposal prepared by the agency. The requirement to let projects undergo BCA seems to make planners trim project proposals by trying to reduce investment costs without significantly reducing benefits. This relationship is weaker among profitable projects. Moreover, there is no correlation between rate of return and the probability of being included in the final program, which is established on political grounds.

Purpose

The aim of this study is to estimate monetary abatement values for road and rail traffic noise that can be used for policy purposes. However, a main objective is to critically discuss the assumptions necessary to convert the monetary values elicited in willingness to pay (WTP) studies to values than can be use for policy purposes.

Methods

We employ the hedonic regression technique on Swedish data to elicit individuals' preferences for noise abatement. Our elicited values are then converted to policy values and critically examined based on findings from a literature review.

Results

We show that WTP for road and rail not only differs in levels but also that the relationship between the noise level and the marginal value differs between the two sources. We also show that a health cost component added to the WTP estimate, based on the assumption of uninformed property buyers, will be small but not negligible and that also modest differences in the assumption of the discount rates will have a significant effect on the estimated values.

Conclusions

The main implications from this study are: (i) WTP for road and railway noise abatement differs not only on absolute but also marginal levels, (ii) Even small differences in the chosen discount rate, which is necessary to convert WTP values from a hedonic price study to policy values, have large effects on the policy values, and (iii) We show how to add a health cost component to the WTP estimates in order for the monetary estimates to reflect the total social cost. However, we argue that the motivation for doing so is weak and that more research is needed on this issue.

Noise is a significant social problem. For example, more than 20 per cent of the European Union's population is exposed to higher noise than what is considered acceptable. The transport sector is a major contributor to society's increasing noise problem, due to increased traffic volumes and urbanization exposing more people to noise. Road traffic is admittedly the largest individual noise source in the transport sector, but other transport modes such as aircraft and railways are also responsible for considerable noise emissions. Noise entails costs for the society. This fact, and that society has different needs, means that policies and projects to reduce noise levels need to be evaluated to secure an efficient resource allocation. Benefit cost analysis is a powerful tool to evaluate noise abatement, but it requires both benefits and costs to be measured in a common metric, i.e. in monetary values. Today's official monetary values for all modes are based on the impact of road-traffic noise on property prices. It is a well established fact that the disturbance which individuals experience differs between modes, and therefore there is a need to estimate monetary values based on the respective modes. This report focuses on road and rail noise, two noise sources with different characteristics. This study describes the need to revise the current official Swedish policy values for noise abatement. Current values for road-traffic noise show a progressive relationship between the social cost and the noise level that is too strong, and values for railway noise has been missing and instead based on results for road noise. Valuation of health effects should also be based on EKM since it is sanctioned within the EU, instead of the approach now proposed by ASEK based on estimated total social costs from noise exposure in relation to estimates from willingness to pay studies.

This study examines the effect of road and railway noise on property prices. It uses the hedonic regression technique on a Swedish data set that contains information about both road and railway noise for each property, and finds that road noise has a larger negative impact on the property prices than railway noise. This is in line with the evidence from the acoustical literature which has shown that individuals are more disturbed by road than railway noise, but contradicts recent results from a hedonic study on data of the United Kingdom.

This study examines the effect of road and railway noise on property prices. It uses the hedonic regression technique on a Swedish data set that contains information about both road and railway noise for each property, and finds that road noise has a larger negative impact on the property prices than railway noise. This is in line with the evidence from the acoustical literature which has shown that individuals are more disturbed by road than railway noise, but contradicts recent results from a hedonic study on data of the United Kingdom.

This study uses the contingent valuation method to elicit individuals' preferences for their own and others' safety in road-traffic. Whereas one group is asked about a private safety device for themselves, other groups are asked about safety devices for their children, household, relatives and the public. Support is found for the hypothesis that individuals are not purely selfish when it comes the safety of others.

Efterfrågan på tystnad från vägbullerexponering skattas i detta projekt baserat på båda stegen i en så kallad hedonisk modell. Vi använder data från sju olika kommuner runt om i Sverige. Baserat på efterfrågekurvan kan vi räkna ut betalningsviljor för icke-marginella förändringar i bullerexponering från vägtrafik. Dessa resultat har stor användning i samhällsekonomiska kalkyler inom transportsektorn. Våra skattningsresultat visar att betalningsviljan för en bullerreducering från 66 till 65 dB är 2211 kronor per individ och år och 477 kronor per individ och år för en bullerreducering från 56 till 55 dB. Resultaten visar ingen betalningsvilja för bullerreduceringar under 52,8 dB. För en bullerreducering från 66 dB till 52,8 dB och alla lägre bullernivåer är betalningsviljan 15 225 kronor. Denna summa är även kostnaden för att utsättas för 66 dB vägbuller per individ och år.

Valuation of traffic noise abatement based on hedonic pricing models of the property market has traditionally measured the noise as the equivalent, or another average, level. What is not captured in such a noise indicator is the maximum noise level of a vehicle passage. In this study, we incorporate the maximum noise level in the hedonic model letting the property price depend on both the equivalent noise level and the maximum noise level. Hedonic models for both rail and road noise are estimated. Data consists of characteristics of sold properties, property-specific noise calculation, and geographical variables.

We use the hedonic approach to estimate the marginal willingness to pay (WTP) for maximum noise abatement where we model the effect as the maximum noise level subtracted with the equivalent noise level. Furthermore, we control for the equivalent noise level in the estimations. The estimated results show that including the maximum noise level in the model has influence on the property prices, but only for rail and not for road. This means that for road we cannot reject the hypothesis that WTP for noise abatement is based on the equivalent noise level only. For rail, on the other hand, we estimate the marginal WTP for the maximum noise level and it turns out to be substantial. Also, the marginal WTP for the equivalent noise levels seems to be unaffected by the inclusion of the maximum noise level in the model. More research of this novel topic is requested though.

This paper on the value of a statistical life (VSL) has been prepared for the Handbook in Transport Economics, edited by André de Palma, Robin Lindsey, Emile Quinet and Roger Vickerman. The paper's first objective is to survey some classical theoretical and empirical findings in the VSL literature; but it also attempts to clarify some of these issues often raised by the application of the WTP approach to study of mortality risks.

By combining standardised calculation methods for total noise levels and monetary estimates from well-established evaluation methods, this study outlines a model to estimate the short-run marginal cost (SRMC) for road and railway noise that is able to differentiate not only modes of transport, but also vehicles and technologies. Several sensitivity tests run for the SRMC show that estimates are insensitive to traffic volume, sensitive to the number of exposed individuals, and sensitive to the monetary values used. Results also show that the use of quiet technology can have a significant effect on the SRMC.

This study outlines a method to estimate the short run marginal cost (SRMC) for road and railway noise. It is based on standardized calculation methods for total noise levels and monetary cost estimates from well established evaluation methods. Here official calculation methods and monetary values are used for Sweden, but the estimation method for the SRMC outlined can be directly applied using other standardized noise calculation methods and monetary values. This implies that the current knowledge regarding the calculation of total noise levels and the evaluation of the social cost of noise can be extended to estimate the marginal effect as well. This is an important finding since it enables policy makers to price noise externalities in an appropriate way. Several sensitivity tests run for the SRMC show that: (i) increasing the total traffic on the infrastructure has only a minor influence, (ii) estimates are quite sensitive to the number of exposed individuals, and (iii) to the monetary values used. Hence, benefits transfer, i.e. using monetary values elicited based on road noise for railway noise, should be done with caution or not at all. Results also show that the use of quiet technology can have a significant effect on the SRMC. The fact that this model is able to differentiate not only modes of transport, but also vehicles and even technologies is an important finding. It is essential that the noise charges give the operators the right incentives to choose their optimal allocation.

In order to mitigate negative effects from traffic it has been decided that infrastructure charges in the European Union (EU) should be based on short run marginal costs. The Swedish Parliament has legislated that operators in the Swedish railway infrastructure must pay charges based on short run marginal social costs in order to mitigate externalities in railway infrastructure. Internalization of the social cost of noise is of particular interest, since it is the only environmental problem perceived as more troublesome today than in the early 1990s. Inclusion of a noise component in rail infrastructure charges raises two issues: (i) the monetary evaluation of noise abatement, since noise is a non-market good, and (ii) the estimation of the effect on the noise level that one extra train will create. Regarding the latter, we are interested in the marginal noise, since infrastructure charges based on the short-run marginal cost principle should be based on the effect from the marginal train, not the noise level itself. Using already existing knowledge, this study shows that it is possible to implement a noise component in the rail infrastructure charges. The values that are used today to estimate the social cost of noise exposure in cost benefit analysis can also be used to calculate the marginal cost. We recommend, however, that further research be carried out in order to get more robust estimates based on railway traffic. We also show that the existing noise estimation models can easily be modified to estimate the marginal noise. Noise infrastructure charges give the operators incentives to reduce their noise emissions. We believe that this kind of charge can be used to reduce overall emission levels to an optimal social level, but that it is important for the charge to be based on monetary estimates for rail-traffic and not road-traffic.

In order to mitigate the negative effects of transportation and to achieve a competitive transport sector, infrastructure charges in the European Union shall be based on short-run marginal costs. This paper shows that railway-noise charges can be estimated using already obtained knowledge of monetary and acoustical noise evaluation. Most European countries have standardised calculation methods for total noise level, which can be used to estimate the marginal acoustical effect. Based on a Swedish case study (with a relatively high number of exposed individuals), railway-noise charges are estimated at 0.026, 0.099 and 0.89 e/km for commuter, high-speed and freight trains, respectively.

One way of mitigating the negative effects of noise from road traffic is to include the external cost of noise in a road charging system. This study shows how standardized calculation methods for road traffic noise can be used together with monetary estimates of the social cost of noise exposure to calculate charges based on the social marginal cost. Using Swedish data on traffic volume and individuals exposed to road noise, together with official Swedish monetary values for noise exposure, we estimate road-noise charges for light (cars) and heavy (trucks) vehicles.

In this paper, dynamic aspects of railway infrastructure operation and maintenance costs in Sweden are explored. Econometric cost functions are estimated to check the robustness of previous marginal cost estimates by introducing lags and leads of both dependent and independent variables. We find support for a forward-looking behaviour within the Swedish National Rail Administration (Banverket) as both infrastructure operation and maintenance costs are reduced prior to a major renewal. There are also indications of both lagged traffic and costs affecting the cost structure.

New railway legislation in Sweden has increased the need for transparent access charges on the Swedish railway network. We estimate cost functions for infrastructure operation, maintenance and renewal in the Swedish national railway network, using unobserved effects models and calculate marginal costs for railway infrastructure wear and tear. We find evidence of unobserved fixed effects at a track section level for infrastructure operation and maintenance costs. The estimated weighted average marginal infrastructure operation cost is SEK 0.12 per train kilometre and the estimated marginal maintenance cost is SEK 0.0073 per gross tonne kilometre. Altogether, the results indicate that the current charge for railway infrastructure wear and tear in Sweden is below marginal cost.

We analyse maintenance cost data for Swedish railway infrastructure in relation to traffic volumes and network characteristics, and separate the cost impact from passenger and freight trains. Lines with mixed passenger and freight traffic, and dedicated freight lines are analysed separately using both log-linear and Box-Cox regression models. We find that for mixed lines, the Box-Cox specification is preferred, while a log-linear model is chosen in the case of dedicated freight lines. The cost elasticity with respect to output is found to be higher for passenger trains than for freight trains. From a marginal cost pricing perspective, freight trains are currently over-charged, while passenger trains are under-charged.

In this paper, dynamic aspects of railway infrastructure operation and maintenance costs in Sweden are explored. Econometric cost functions are estimated to check the robustness of previous marginal cost estimates by introducing lags and leads of both dependent and independent variables. We find support for a forward-looking behaviour within the Swedish National Rail Administration (Banverket) as both infrastructure operation and maintenance costs are reduced prior to a major renewal. There are also indications of both lagged traffic and costs affecting the cost structure, but these results are more uncertain due to limitations in data.

In this paper, renewal costs for railway tracks are investigated using survival analysis. The purpose is to derive the effect from increased traffic volumes on rail renewal cycle lengths and to calculate associated marginal costs. A flow sample of censored data containing almost 1 500 observations on the Swedish main railway network is used. We specify Weibull accelerated failure time regression models, and estimate deterioration elasticities for total tonnage as well as for passenger and freight tonnages separately. Marginal costs are calculated as a change in present values of renewal costs from premature renewal following increased traffic volumes.

We analyse maintenance cost data for Swedish railway infrastructure in relation to traffic volumes and other characteristics, and separate the cost impact from passenger and freight trains. Lines with mixed passenger and freight traffic, and dedicated freight lines are analysed separately using both log-linear and Box-Cox regression models. We find that for mixed lines, the Box-Cox specification is preferred, while a log-linear model is chosen in the case of dedicated freight lines. The cost elasticity with respect to output is found to be higher for passenger trains than for freight trains. From a marginal cost pricing perspective, freight trains are currently paying too much, while passenger trains should be charged more. An adjusted pricing scheme based on these results would still lead to higher revenues than today if total demand is unaffected.

In this paper, renewal costs for railway tracks are investigated using survival analysis. The purpose is to derive the effect from increased traffic volumes on rail renewal cycle lengths and to calculate associated marginal costs. A flow sample of censored data containing almost 1 300 observations on the Swedish main railway network is used. We specify Weibull accelerated failure time regression models, and estimate deterioration elasticities for total tonnage as well as for passenger and freight tonnages separately. Marginal costs are calculated as a change in present values of renewal costs from premature renewal following increased traffic volumes. The marginal cost for aggregate freight and passenger trains is estimated to approximately SEK 0.002 per gross ton kilometre.

The ability to make structured decisions about the optimal funding for operation, maintenance and renewal of roads and railways is currently limited. This creates significant risks that the funds are used in an inefficient manner. It is therefore important that the Swedish Transport Administration develops a transparent model for decision support in this field. VTI has undertaken a review of the state of knowledge in various areas required to bring about an economic analysis of operation, maintenance and renewal. The review shows that there are good prospects to produce a decision basis within a relatively short time. This makes it possible to answer at least some of the issues formulated. The review indicates that there are great opportunities to move forward both in road and railway areas. Five specific projects have been suggested, of which three are short term and two are long term. The aim in the long run is to make transparent and structured decisions on funding needed from an economic perspective on various road and railway sections.

Economic theory advocates marginal cost pricing for efficient utilisation of transport infrastructure. A growing body of literature has emerged on the issue of rail marginal infrastructure wear and tear costs, but the majority of the work is focused on costs for infrastructure maintenance. Railway track renewals are a substantial part of an infrastructure manager’s budget, but in disaggregated statistical analyses they cause problems for traditional regression models since there is a piling up of values of the dependent variable at zero. Previous econometric work has sought to circumvent the problem by aggregation in some way. In this paper we instead apply corner solution models to disaggregate (tracksection) data, including the zero observations. We derive track renewal cost elasticities with respect to traffic volumes and in turn marginal renewal costs using Swedish railway renewal data over the period 1999 to 2009. This paper is the first attempt in the literature to apply corner solution models, and in particular the two-part model, to disaggregate renewal cost data in railways. It is also the first paper that we are aware of to report usage elasticities specifically for renewal costs and therefore adds important new evidence to the previous literature where there is a paucity of studies on renewals and considerable uncertainty over the effects of rail traffic on renewal costs.

The cost of parking is in many cities subsidized and instead channelled through higher housing prices, wages, taxes, etc. The effects on other markets are principally well known, but the work on the area is limited. In this paper, we study how parking norms affect the size of the housing stock. Our analysis is based on a model of the rental, asset- and construction markets, the results are quality-assured by interviews with market actors. Prices and profits are affected when constructors are forced, through parking norms, to build more parking spaces than the customers demand. Parking norms reduce the housing stock by 1.2% and increase rents by 2.4% (SEK 300) in our example suburb.

On the 9 February 2017, The National Road and Transport Research Institute (VTI) received the governmental commission to continue previous research on socio-economic costs of traffic by developing new knowledge and update the existing knowledge base. As part of this mission, an assessment of the impact on the climate and the national environmental objectives of internalizing external costs was included. The transport sector has a direct or indirect impact on virtually all Swedish environmental quality objectives. This report focusses on road traffic and the environmental quality objectives that were considered in the previous governmental commission SAMKOST 2 and where relevant quantifiable targets, specifications and indicators were available: Limited climate impact, Fresh air, Only natural acidification, No eutrophication and noise as a part of the environmental quality objective Good built environment.

According to results presented in this report, a taxation corresponding to 100 percent internalization would, if imposed in 2016, contribute to a 2 percent (ca 0,4 million ton) decrease in emissions of carbon dioxide 2030 in comparison to current internalization degrees. Such an estimated change is small in relation to the calculation uncertainties due to for example uncertainties about traffic development, price elasticity, technological development, economic development, the development of prices of oil etc. To achieve the objective of reducing greenhouse gas emissions from domestic transport (except aviation) by 70 percent by year 2030 compared with 2010, would need additional instruments and measures than those which have already been decided to reduce the emissions by a further 1–3 million ton or 5–15 percent. An increase in the current carbon dioxide tax from SEK 1.14 per kg of carbon dioxide to SEK 2 per kg of CO2 will reduce emissions by an additional 1.6 million ton or 8 percent more than achieved with current degree of internalization (all other aspects alike). In combination with the already decided instruments, an increase in the carbon tax with SEK 1 per kg carbon dioxide for passenger cars implies that the target of reducing emissions from domestic transport by 70 percent from year 2010 level to 2030 can be reached. For future emissions of nitrogen oxides, a 100 percent internalization, or increased CO2 tax, will only result in a marginal impact.