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- Westin, Jonas, 1980-
(author)
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Efficiency and acceptability of pricing policies and transport investments in distorted economies
- 2012
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Doctoral thesis (other academic/artistic)abstract
- This thesis contains five papers studying the economic efficiency and political acceptability of road pricing policies and transport investments in distorted economies. Interactions between the transport market and other distorted markets, such as the labor market, can have a large impact on the welfare effect of a road pricing policy or a transport investment. Many road pricing studies therefore try to incorporate effects from other distorted markets in the analysis. Paper I analyzes how the economic efficiency of a road toll in a distorted economy depends on assumptions about the initial tax system. In the road pricing literature, the welfare effect of a road toll is often found to depend on revenue use. Using a simple general equilibrium model paper I shows that the relative efficiency of marginal revenue recycling policies depends more on assumptions regarding inefficiencies in the initial tax system than on the road toll per se. Paper II studies the effect on welfare, equity and labor supply from a road toll in a commuting population with heterogeneous value of time and endogenous labor supply. When explicitly taking into account that commuters have different value of time, the road toll can increase total labor supply even when the revenues are not recycled back to the commuters. The analysis stresses the importance of recognizing traveler heterogeneity when analyzing congestion pricing. Road pricing policies are often characterized by conflicting interests between different stakeholders and different geographical areas. Papers III and IV study the economic efficiency and political acceptability of pricing and investment policies in different institutional and geographical settings. The main contribution of the papers is to explain how political constraints can lead to inefficient tolling strategies. The papers contribute to the existing literature on political acceptability of road pricing by analyzing the conflict and potential trade-off between political acceptability and economic efficiency. A difficulty when assessing the welfare effect of a future transport policy is also that many factors and parameters needed for the analysis are uncertain. Paper V studies the climate benefit of an investment in high speed rail by calculating the magnitude of annual traffic emission reduction required to compensate for the annualized embedded emissions from the construction of the line. The paper finds that to be able to balance the annualized emissions from the construction, traffic volumes of more than 10 million annual one-way trips are usually required, and most of the traffic diverted from other transport modes must come from aviation.
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| 2. |
- Andersson, Angelica
(author)
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Mode choice modelling of long-distance passenger transport based on mobile phone network data
- 2022
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Licentiate thesis (other academic/artistic)abstract
- Reliable forecasting models are needed to achieve the climate related goals in the face of increasing transport demand. Such models can predict the long-term behavioural response to policy interventions, including infrastructure investments, and thus provide valuable pre-dictions for decision makers. Contemporary forecasting models are mainly based on national travel surveys. Unfortunately, the response rates of such surveys have steadily declined, implying that the respondents become less representative of the whole population. A particular weakness is that it is likely that respondents with a high valuation of time are less willing to respond to surveys (because they have less time available for such), and therefore there is a high chance that they are underrepresented among the respondents. The valuation of time plays an important role for the cost benefit analyses of public policies including transport investments, and there is no reliable way of controlling for this uneven sampling of time preferences. Fortunately, there is simultaneously an increase in the number of signals sent between mobile phones and network antennae, and research has now reached the point where it is possible to determine not only the travel destination but also the travel mode based on mobile phone network antennae connections. The aim of this thesis is to investigate if and how mobile phone network data can be used to estimate transportation mode choice demand models that can be used for forecasting and planning. Key challenges with using this data source in the context of mode choice models are identified and met. The identified challenges include uncertainty in the choice variable, the difficulty to distinguish car and bus trips, and the lack of information about the trip purpose. In the first paper we propose three possible model formulations and analyse how the uncertainty in the choice outcome variable would play a role in the different model formulations. We also conclude that it is indeed possible to estimate mode choice demand models based on mobile phone network data, with good results in terms of behavioural interpretability and significance. In the second paper we estimate models using a nested logit structure to account for the difficulty in separating bus and car, and a latent class model specification to meet the challenge of having an unknown trip purpose.
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