University of Twente Student Theses
Assessment of methods to calculate modal split for the municipality of Enschede
Buursma, H. (2021) Assessment of methods to calculate modal split for the municipality of Enschede.
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| Abstract: | In this study an assessment of different methods to calculate modal split is conducted for the municipality of Enschede. The methods are assessed based on how well they meet the municipalities requirements and wishes. Additionally two criteria, costs & sample-size are added to the assessment to establish the performance of each method. In the study five different methods are assessed: survey based, smartphone tracking, Ovia, FietsViewer and WiFi/Bluetooth trackers. To determine the best method for the municipality of Enschede three steps are taken. First, the requirements and wishes of the municipality were established through the means of desk research. The desk research consisting of research into the goals from the mobility and bike vision, and how they relate to the usage of modal split within the municipality. Additionally meetings with experts were held to better establish the municipalities needs from modal split, and gain a more comprehensive set of criteria. Second, was the assessment of the methods on the established requirements, the assessment was conducted using literature on each of the included methods. Additionally criteria costs and sample size were added to the assessment to get a better insight on the performance of each method. From the assessment it was concluded that smartphone tracking is for the municipality the most suitable method to calculate modal split. It met all the necessary requirements and scored better on the additional criteria than the other methods. Cheaper than Ovia and bigger estimated sample-size. Third, a closer look is taken to the possible way to implement smartphone tracking in the municipality. One possibility being the use of Fietstad Enschede app as source of data. A dataset consisting of trips registered by the app between the beginning of June 2020 and the end of May 2021 is used to calculate modal split. A comparison is made with results of the research program Odin to show the disadvantages of using the Fietstad Enschede app. The enormous disadvantage being a bias created in the sample by the design of the app. To counter this bias solutions are proposed in this project. The first cleaning the data of round trips (trips with the same start and end location), as these trips are most commonly made on the bike by fanatic cyclists. However this did not lead to the hoped effect and thus another solution is proposed. The second solution is additional recruitment using payment as reward for participating, thus making it more attractive to the general populace and counter the bias. Moreover to properly counter the bias it is necessary to create a sample separate from the already existing users of the app. For the system of payment to function and keep the costs low an optimal measuring period of the year is established. Conclusion smartphone tracking has the most potential and is most suitable method to calculate modal split. The method can be implemented in two ways; using Fietstad Enschede or NVP (nationaal verplaatsingspanel). Fietstad Enschede has a disadvantage in the form of a bias in the sample, and NVP has the disadvantage of low sample-size. Both can be solved by additional recruitment using a payment system. However as NVP uses an app that does not favor a particular group of people, the advice would be to use NVP. |
| Item Type: | Essay (Bachelor) |
| Faculty: | ET: Engineering Technology |
| Programme: | Civil Engineering BSc (56952) |
| Link to this item: | https://purl.utwente.nl/essays/87947 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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