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You searched for id:"oai:tudelft.nl:uuid:02f6ead6-2410-4e4a-bf78-d5b7ffdb1a8c". One record found.

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Delft University of Technology

1. de Haas, Simon (author). Cycling Distance and the Built Environment: An investigation to what extend cycling distance is influenced by the built environment of Amsterdam and surroundings.

Degree: 2020, Delft University of Technology

In order to stop climate change, it is inevitable to transition to more environmental-friendly ways of transportation, such as cycling. An important criterion for selecting the bicycle as a modality is the distance to the destination. An increase in travel distance coincides with a decrease in modal share of bicycles compared to alternative modalities. Literature does not explain why cycling is preferred for certain distances and not for others, except for some practical reasons. This thesis investigates the built environment in relation to cycling distance. Literature indicates the built environment as being important for destination choice, mode choice and route choice. Moreover, literature also indicates a relationship between cycling distance and these decision choices. As urbanization of the built environment increases, more destinations are within reach and this tends to reduce travel distance. At the same time, network friction reduces due to increasing network density. Finally, preferences to cycle through or avoid certain characteristics of the built environment may result in detours, which increase travel distance. People’s decisions on travel destination, transportation mode and route appear to be crucial for choosing the bicycle as mode of transport. Humans make these decisions simultaneously, but in this thesis, it is assumed that it is done in the order: destination, mode, and route. By making this assumption, it is possible to say that (a) destination choice is connected to Euclidean distance, (b) mode choice is connected to network friction, and (c) route choice is connected to behavioural detour. The 7D’s framework of Ewing & Cevero (2010) has been used to quantify the built environment. It will turn out that only the first three D’s (Design, Density and Diversity) are influencing cycling distance. The choices for destination, mode and route choice are also influenced by the following elements: network density, cycle paths, green environments, smooth surface, built environment density and the mixture of functions in the built environment. This research has been conducted with bicycle trip data within the municipalities of Amsterdam, Amstelveen, Diemen and Ouder-Amstel. Those municipalities offer a fitting case study, since the ‘Greater Amsterdam’ has a varied built environment and has a need to reduce car traffic significantly. In this thesis, the relation of the elements with cycling distance are statistically tested with a multiple linear regression analysis. In order to do so, elements have to been quantified and combined with the bicycle trips. Explanatory models are developed to explain cycling distance, Euclidean distance, and detour distance with the elements of the built environment. The models constructed in this thesis show that the elements green environments, waterbodies, smooth surface material, and cycle paths have a positive increasing impact on cycling distance, while network density and built environment have a negative decreasing impact. No clear impact on travel distance is… Advisors/Committee Members: Maat, C. (mentor), Ton, D. (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Cycling; Built Environment; Distance

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APA (6th Edition):

de Haas, S. (. (2020). Cycling Distance and the Built Environment: An investigation to what extend cycling distance is influenced by the built environment of Amsterdam and surroundings. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:02f6ead6-2410-4e4a-bf78-d5b7ffdb1a8c

Chicago Manual of Style (16th Edition):

de Haas, Simon (author). “Cycling Distance and the Built Environment: An investigation to what extend cycling distance is influenced by the built environment of Amsterdam and surroundings.” 2020. Masters Thesis, Delft University of Technology. Accessed January 16, 2021. http://resolver.tudelft.nl/uuid:02f6ead6-2410-4e4a-bf78-d5b7ffdb1a8c.

MLA Handbook (7th Edition):

de Haas, Simon (author). “Cycling Distance and the Built Environment: An investigation to what extend cycling distance is influenced by the built environment of Amsterdam and surroundings.” 2020. Web. 16 Jan 2021.

Vancouver:

de Haas S(. Cycling Distance and the Built Environment: An investigation to what extend cycling distance is influenced by the built environment of Amsterdam and surroundings. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 16]. Available from: http://resolver.tudelft.nl/uuid:02f6ead6-2410-4e4a-bf78-d5b7ffdb1a8c.

Council of Science Editors:

de Haas S(. Cycling Distance and the Built Environment: An investigation to what extend cycling distance is influenced by the built environment of Amsterdam and surroundings. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:02f6ead6-2410-4e4a-bf78-d5b7ffdb1a8c

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