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An exploration of GI based techniques for bicycle network design

Ramirez, Ivan Dario Moncayo (2012) An exploration of GI based techniques for bicycle network design.

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Abstract:Traffic congestion has become a major issue in recent years, particularly in fast growing cities in developing countries. The negative impacts on people and the environment due to this phenomenon are well known. Cycling represents a handy alternative to cope with this situation while offering many advantages (affordable, healthy, no polluting, etc.). One of the more important aspects of promoting cycling is the infrastructure provision. However, traditional approaches for cycling networks design does not guarantees the selection of the optimal routes since a variety of technical, social and environmental factors are not considered. In addition, in many cities in developing countries it is not likely to found data on cycling (cyclists’ behaviour, OD surveys) and could be existing cycling infrastructure that should be considered if a new design will be implemented. In this context, the objective of this thesis is to develop a methodology for the evaluation of potential routes within an urban area aiming the optimization of a cycling network in a data scarce environment. This approach includes a GIS based Spatial Multi-Criteria Evaluation process in which key bicycle trip attractors and their catchment areas along with other relevant spatial factors affecting the suitability for cycling are taken into account to identify the most adequate roads for cycling infrastructure provision. The methodology was tested through a case study implementation in the Brazilian city of Belém. As a result, the optimal routes to the key attractors were calculated and, based on them and other relevant considerations a cycling network draft is proposed. This methodology can be used as a decision support tool on upgrading or providing cycling infrastructure in different cities due to their flexibility and ease of implementation.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/93705
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