Quantifying and visualising anthropogenic emissions of CO2 in the urban environment: Exploring trends in the spatial distribution of emissions

About 75 percent of CO2 emissions caused by the combustion of fossil fuels stem from cities. Climate policy minimising the amount of emitted carbon can not be evaluated without accurate quantification of CO2 emissions.<br/>Not only the amount of emitted carbon is of interest, but also being able to place emissions in both the spatial as well as...

Modelling air quality around highways in the Netherlands

More and more research shows the substantial health repercussions<br/>of air pollution. Therefore, improving air quality is high on political agendas in modern societies. In the Netherlands, particularly around major roads, NO2 standards set by the government are often exceeded. Air quality models are used to monitor air quality values and...

Discrimination in police law enforcement: A statistical study conducted in the Netherlands

In the recent years, police violence and discrimination towards minorities have become widely criticized by news outlets and within society. The trust in the police has decreased over the last years as ethnic profiling and the deaths of multiple people of colour have come to light. The police law enforcement and their officers have been...

Explainable AI: A Proof of Concept Demonstration in Financial Transaction Fraud Detection using TreeSHAP & Diverse Counterfactuals

The European Commission recently published a proposal for an Artificial Intelligence (AI) act that requires the development of trustworthy AI systems for European Union markets. The proposal clearly mentions that AI systems should make use of Explainable AI tools to increase transparency and interpretability.Financial institutions in the...

Regional Travel Time and Transfer Impacts of the Noord/Zuidlijn using Interoperable Smart Card Data

On July 22nd 2018 the Noord/Zuidlijn, a metro line crossing the city center of Amsterdam, became operative. This entailed a transformation from a direct bus and tram network to a network consisting of a metro trunk line and bus and tram feeder lines. This study explores and uses interoperable smart card data from before and after the Noord...

Analysis of travel planner use, route choice behaviour and passenger predicitions on the Dutch railway: a case of the Nederlandse Spoorwegen

Network effects of activity based departure time choice with automated vehicles: A case study in the 'Haaglanden' region

Automated vehicles (AV) are expected to change our future way of transportation and bring many positive effects, such as better road/vehicle safety, reduced environmental costs but also increased on-board productivity. The commonly adopted approach to capture the effect of increased on-board productivity is to reduce the ‘penalty’ associated...

Estimating the willingness to pay of airline passengers for flight ancillaries: Utilizing revealed passenger data of a full-service carrier to support future pricing strategies

Deregulation within the aviation market led to constant decreasing revenue of airfares while airlines across the market spectrum sharpen their focus on ancillaries. The objective of this thesis project is to utilize revealed preference data in a case-study of KLM Royal Dutch Airways to better understand the customer relation towards ancillaries....

Investigation of travel behaviour on a multimodal Mobility-as-a-Service hub within a closed user area

Hely has developed Mobility as a Service (MaaS) through multimodal Hubs,<br/>which are offered within closed-user residential areas and made accessible<br/>through an application. This exploratory study aims to assess people’s mobility<br/>behaviour by the usage of Hely in a closed user group. It focused on two<br/>aspects: the indication of (1)...

Machine learning or Statistical discrete response modelling?: Webshop conversion rate maximization at Fatboy.com

Adaptive website content is an increasingly popular method for e-commerce platforms to personalize the content shown to its visitors in an attempt to increase the conversion rates of their platforms. However, in order to select the content relevant for a specific customer, the online platform should be able to rapidly interpret the explicit...

Adding new modes to existing transport demand gravity models: Methodology for adding disaggregate discrete choice parameters to an aggregate gravity model

This thesis describes a methodology for adding information about the preferences for new modes from external discrete choice models to exisiting transport demand gravity models. The methodology consists of 4 steps: (i) translation of deterrence functions towards discrete choice utility functions; (ii) linearization of non-linear translated...

Mobility-as-a-Service: Exploring Consumer Preferences for MaaS Subscription Packages Using a Stated Choice Experiment

While urbanisation has increased and more efficient means of mobility are required, consumers are decreasingly interested in owning cars. One solution to meet people's mobility needs is to provide mobility as a service (MaaS). This study looks into consumers’ preferences on monthly MaaS packages and tries to identify the most important factors...

Time-dependent earliest arrival routes with drivers legislation and preferences

Freight transporters use software kits to plan the routes for their trucks. Breaks required by the European drivers legislation are nowadays planned as late as possible. However, in some cases it is beneficial to plan these mandatory breaks during waiting time, such as truck driving bans. In this thesis this problem is addressed by computing...

Value of Travel Time Changes as a Result of Vehicle Automation: A case-study in the Netherlands

MSc thesis of the faculties: Civil Engineering & Geosciences (CiTG) and Technology, Policy and Management (TBM)

Developing a Population Synthesis Method based on Lifestyles towards Mobility for Travel Demand Modelling

Understanding Communication Preferences of Banking Customers

Banks and service companies in general are facing problems with multi-channel management, especially in the context of outbound communication. Problems are the high costs of the multi-channel systems, unsatisfied cus-tomers, and few customers who interact with companies. Personalization of the selection of communication channel to reach a...

Operational Scheduling in a Multi-Actor Environment using Multiagent Systems

Liquid bulk is one of the largest industries of the modern world, and efficient scheduling is needed for liquid bulk terminals to remain competitive. A common solution for the planning efficiency problem is to apply planning algorithms, rather than human planners for creating schedules. However, replacing human planners by algorithms is often a...