Mads Paulsen

• MSc, PhD
• Assistant Professor (Tenure-track) at Technical University of Denmark

In this paper, we determine a welfare-optimal investment strategy for bicycle networks while considering the joint impact of travel time savings and induced demand throughout the investment horizon. The paper extends an expansion strategy with fixed demand recently published in Paulsen and Rich (2023). Accommodating induced demand requires that we...

This paper considers substitution patterns in the perturbed utility route choice model. We provide a general result that determines the marginal change in link flows following a marginal change in link costs across the network. We give a general condition on the network structure under which all paths are necessarily substitutes and an example in w...

This paper develops a fast algorithm for computing the equilibrium assignment with the perturbed utility route choice (PURC) model. Without compromise, this allows the significant advantages of the PURC model to be used in large-scale applications. We formulate the PURC equilibrium assignment problem as a convex minimization problem and find a clos...

One of the aspects that policymakers should consider when promoting cycling is the route choice behaviour of current cyclists. This study develops a behaviourally realistic route choice model for different types of everyday cyclists and cycling trips. The analysis is based on a large-scale crowdsourced dataset of GPS trajectories including 134,169...

Sundhedsgevinster er essentielle, når den samfundsøkonomiske værdi af cykelinfrastruktur evalueres. Imidlertid har disse ikke været medtaget i optimeringsmodeller designet til at planlægge udvidelser af cykelnetværk. Med udgangspunkt i en nyligt udviklet model for samfundsøkonomisk optimal udvidelse af cykelinfrastruktur (Paulsen & Rich, 2023), præ...

In this paper, we consider the problem of expanding bicycle networks over time. The expansion of the network at a given point in time is based on the societal cost-benefit performance, which entails system-wide effects from previous expansions. The problem is challenging due to non-linearities of travel time benefits and the dimension of the proble...

To what extent is the volume of urban bicycle traffic affected by the provision of bicycle infrastructure? In this study, we exploit a large dataset of GPS trajectories of bicycle trips in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a model for bicyclists' choice of route from origin to destin...

To create bicycle-friendly urban environments, policymakers need tools for identifying and mapping the most efficient routes in terms of cycling accessibility. Yet, few studies have empirically investigated cycling accessibility in terms of detours. Using crowdsourced GPS data, this study measures both realized detour ratios (RDRs), describing deto...

To what extent is the volume of urban bicycle traffic affected by the provision of bicycle infrastructure? In this study, we exploit a large dataset of observed bicycle trajectories in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a novel model for bicyclists' choice of route from origin to dest...

Intersections typically account for a substantial part of the total travel time in urban areas, and an even higher share of the congested travel time, especially for bicycle traffic. Nevertheless, delays caused by yielding for cyclists or cars at intersections have previously not been modelled in large-scale bicycle traffic assignment models. This...

We propose a route choice model in which traveler behavior is represented as a utility maximizing assignment of flow across an entire network under a flow conservation constraint. Substitution between routes depends on how much they overlap. The model is estimated considering the full set of route alternatives, and no choice set generation is requi...

Public transport services are often uncertain, causing passengers' travel times and routes to vary from day to day. However, since door-to-door passenger delays depend on both intended and realised routes, they are difficult to calculate , as opposed to vehicle delays which can be derived directly from the widely available Automated Vehicle Locatio...

We propose a model in which a utility maximizing traveler assigns flow across an entire network under a flow conservation constraint. Substitution between routes depends on how much they overlap. This model can be estimated from route choice data, where the full set of route alternatives is included and no choice set generation is required. Neverth...

Copenhagen is world-known for its large proportion of cyclists, forming a diverse group with a large variation of equipment and physical abilities. This leads to a considerable speed heterogeneity which needs to be taken into account when modelling the traffic on dedicated bicycle paths. Nevertheless, existing studies on bicycle traffic simulation...

Despite requiring less space than most other modes of transport, bicycle traffic will also be prone to congestion when the traffic volume is sufficiently large. Such congestion can eventually influence the route choices of cyclists using the network. In this study we model bicycle congestion on a detailed network of the greater Copenhagen area by a...

Dynamic transport simulators are intended to support decision makers in transport-related issues, and as such it is valuable that the random variability of their outputs is as small as possible. In this study we analyse the output variability caused by random seeds of a multi-agent transport simulator (MATSim) when applied to a case study of Santia...