S. van Cranenburgh

Dr.ir.

Technology, Policy and Management, Transport and Logistics

Research output per year

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28 Article
11 Abstract
9 Conference contribution
1 Editorial
3 More

An artificial neural network based method to uncover the value-of-travel-time distribution
van Cranenburgh, S. & Kouwenhoven, M., 2020, In : Transportation.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
2 Downloads (Pure)
Death by automation: Differences in weighting of fatalities caused by automated and conventional vehicles
Huang, B., van Cranenburgh, S. & Chorus, C. G., 2020, In : European Journal of Transport and Infrastructure Research. 20, 3, p. 71-86 16 p., Issue 20(3).
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
8 Downloads (Pure)
An artificial neural network based approach to investigate travellers’ decision rules
van Cranenburgh, S. & Alwosheel, A., Jan 2019, In : Transportation Research. Part C: Emerging Technologies. 98, p. 152-166 15 p.
Research output: Contribution to journal › Article › Scientific › peer-review
23 Citations (Scopus)
Experimental design optimised for discriminating among different choice models
Huang, B., van Cranenburgh, S. & Chorus, C., 2019.
Research output: Contribution to conference › Abstract › Scientific
New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules
van Cranenburgh, S. & Collins, A. T., 1 Jun 2019, In : Journal of Choice Modelling. 31, p. 104-123 20 p.
Research output: Contribution to journal › Article › Scientific › peer-review
1 Citation (Scopus)

Small value-of-time experiment, Netherlands
van Cranenburgh, S. (Creator) & Chorus, C. G. (Creator), TU Delft - 4TU Centre for research data, 2018
DOI: 10.4121/UUID:1CCCA375-68CA-4CB6-8FC0-926712F50404
Dataset

De homo economicus heeft twee gezichten
Bert van Wee, Niek Mouter & Sander van Cranenburgh
19/11/16
1 item of Media coverage
Press/Media: Public Engagement Activities

An artificial neural network based method to uncover the value-of-travel-time distribution

Death by automation: Differences in weighting of fatalities caused by automated and conventional vehicles

An artificial neural network based approach to investigate travellers’ decision rules

Experimental design optimised for discriminating among different choice models

New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules

Small value-of-time experiment, Netherlands

De homo economicus heeft twee gezichten