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You searched for +publisher:"TRAIL Research School" +contributor:("Pel, A.J."). Showing records 1 – 2 of 2 total matches.

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1. Smits, E.-S. Strategic Network Modelling for Passenger Transport Pricing.

Degree: 2017, TRAIL Research School

In the last decade the Netherlands has experienced an economic recession. Now, in 2017, the economy is picking up again. This growth does not only come with advantages because economic growth demands more from the transport system. Congestion is increasing again, the capacity of the train system is now insufficient during peak hours, and the world faces environmental challenges that are partly due to emissions caused by travellers. These negative effects worsen as travellers make rational choices, which could be undesirable from a system, or social welfare, perspective. For example, car drivers do often not choose public transport options, because it costs them more effort; however, if they choose public transport options, then the system improves since congestion and emissions will reduce. Or another example, if travellers choose to avoid peak hours, they might not arrive at their desired time, but then they do not contribute to peak hour congestion or crowding. In addition, the capacity of the transport system is more effectively used if travellers spread out over the day. Passenger transport pricing can be an incentive for travellers to change their choices, and can therefore be used to mitigate congestion, emissions, and other undesirable effects. Passenger transport pricing is the umbrella term for measures that make passengers pay for their travels. Traditional pricing measures are for example: fuel excise taxes, public transport fares, and periodical registration fees for vehicles. More innovative measures are cordon charges (e.g., in London, Stockholm, and Singapore), special tolling lanes, and peak avoidance projects. When such an innovative measure has different prices for times of the day, and for different locations (i.e., it is time- and space-differentiated), travellers’ choices related to route, mode and departure time can be influenced. By changing these choices, the overall performance of the transport system can improve. Travellers have differences regarding time valuation, preferred departure or arrival times, and car ownership. Therefore, a measure can become even more effective if it also allows to differentiate amongst characteristics of travellers. However, innovative pricing measures have not been implemented widely across the globe, despite their potential to reduce congestion and emissions. This is primarily due to lack of public and political support. The Netherlands has experienced decades of political discourse and many failed proposals. Low public support did not contribute to (political) agreement either, because it has always fuelled the discussion with dissenting opinions. In the process of designing policies and making decisions, strategic planning models usually estimate (or forecast) the effects of the policy. The preferences of travellers and the transport system are captured by mathematical equations. Such models are always a simplified representation of reality. To apply them to asses pricing measures, they should capture the underlying mechanisms that are important for… Advisors/Committee Members: van Arem, B., Bliemer, M.C.J., Pel, A.J..

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Smits, E. -. (2017). Strategic Network Modelling for Passenger Transport Pricing. (Doctoral Dissertation). TRAIL Research School. Retrieved from http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 10.4233/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:isbn:978-90-5584-222-3 ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a

Chicago Manual of Style (16th Edition):

Smits, E -S. “Strategic Network Modelling for Passenger Transport Pricing.” 2017. Doctoral Dissertation, TRAIL Research School. Accessed May 06, 2021. http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 10.4233/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:isbn:978-90-5584-222-3 ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a.

MLA Handbook (7th Edition):

Smits, E -S. “Strategic Network Modelling for Passenger Transport Pricing.” 2017. Web. 06 May 2021.

Vancouver:

Smits E-. Strategic Network Modelling for Passenger Transport Pricing. [Internet] [Doctoral dissertation]. TRAIL Research School; 2017. [cited 2021 May 06]. Available from: http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 10.4233/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:isbn:978-90-5584-222-3 ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a.

Council of Science Editors:

Smits E-. Strategic Network Modelling for Passenger Transport Pricing. [Doctoral Dissertation]. TRAIL Research School; 2017. Available from: http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; 10.4233/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; urn:isbn:978-90-5584-222-3 ; urn:NBN:nl:ui:24-uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a ; http://resolver.tudelft.nl/uuid:4feb2454-7d0a-4481-b8c2-4bae411d2e4a

2. van der Gun, J.P.T. Multimodal Transportation Simulation for Emergencies using the Link Transmission Model.

Degree: 2018, TRAIL Research School

Emergencies disrupting urban transportation systems cause management problems for authorities. This thesis develops simulation methods that permit analysis thereof and evaluation of candidate management plans, tested in three case studies. It formulates a methodological framework using agent-based choice models and multimodal macroscopic dynamic network loading models, and develops extensions of the Link Transmission Model to deal with more complex and variable fundamental diagrams and initially non-empty roads. Advisors/Committee Members: van Arem, B., Pel, A.J., Delft University of Technology.

Subjects/Keywords: urban emergencies; evacuation modelling; choice modelling; activity-based modelling; dynamic network loading; multimodal networks; agent-based modelling; macroscopic traffic model; en-route choice; Link Transmission Model; Lighthill-Whitham-Richards theory; first-order model; capacity drop; node model; stop-and-go wave; Smulders fundamental diagram; traffic control; environmental conditions; bus bridging; network disruptions

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van der Gun, J. P. T. (2018). Multimodal Transportation Simulation for Emergencies using the Link Transmission Model. (Doctoral Dissertation). TRAIL Research School. Retrieved from http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; 2c9d2734-4189-4573-a32c-110beed8f45b ; 10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:isbn:978-90-5584-235-3 ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

Chicago Manual of Style (16th Edition):

van der Gun, J P T. “Multimodal Transportation Simulation for Emergencies using the Link Transmission Model.” 2018. Doctoral Dissertation, TRAIL Research School. Accessed May 06, 2021. http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; 2c9d2734-4189-4573-a32c-110beed8f45b ; 10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:isbn:978-90-5584-235-3 ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b.

MLA Handbook (7th Edition):

van der Gun, J P T. “Multimodal Transportation Simulation for Emergencies using the Link Transmission Model.” 2018. Web. 06 May 2021.

Vancouver:

van der Gun JPT. Multimodal Transportation Simulation for Emergencies using the Link Transmission Model. [Internet] [Doctoral dissertation]. TRAIL Research School; 2018. [cited 2021 May 06]. Available from: http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; 2c9d2734-4189-4573-a32c-110beed8f45b ; 10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:isbn:978-90-5584-235-3 ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b.

Council of Science Editors:

van der Gun JPT. Multimodal Transportation Simulation for Emergencies using the Link Transmission Model. [Doctoral Dissertation]. TRAIL Research School; 2018. Available from: http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; 2c9d2734-4189-4573-a32c-110beed8f45b ; 10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; urn:isbn:978-90-5584-235-3 ; urn:NBN:nl:ui:24-uuid:2c9d2734-4189-4573-a32c-110beed8f45b ; http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

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