An evaluation of on-street parking in the Chaoyang district, Beijing
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School of Engineering |
Master's thesis
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en
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84
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Abstract
On-street parking is a complex problem, which needs to consider many practical factors comprehensively. Up to now, the traffic management departments of governments in various countries have not put forward a clear standard for judging whether road parking should be set on a road, but rely entirely on the experience of traffic planners to make decisions. This research attempts to propose a comprehensive evaluation method for road parking settings, combining the human guide method with the data-driven method. Based on the case study and data analysis of Chaoyang District in Beijing, an evaluation mechanism suitable for local on-street parking planning is proposed by using scenario analysis and machine learning methods.Description
Supervisor
Stead, DominicThesis advisor
Vitale, FrancescoTong, Yu
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Description:
The coding process data driven analysis and modeling
Attachments:
Data_driven_analysis_for_on_street_parking.pdf