Data-driven approach for assessing the impact of newly developed cycling infrastructure on cyclists' route choice

IF 5.7 2区 工程技术 Q1 ECONOMICS
H. Tera, A. Hadachi, M. Pourmoradnasseri
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引用次数: 0

Abstract

Developing safe and efficient cycling networks is a vital part of creating more bike-friendly and, thus, more sustainable communities. To promote cycling effectively, continuously improving and expanding the cycling network is important. Yet, understanding and measuring the impact of newly developed cycling infrastructure is not always a straightforward task, which is often performed using limited-scope surveys or simulations. The present study aims to present a data-driven method for estimating the impact of recently developed links in the cycling network by utilizing public bicycle sharing (PBS) data. The case of Tartu, Estonia, is examined using PBS data from three consecutive years to measure pre-post change in the utilization of street segments with newly built cycling infrastructure. Bicycle-sharing trips that make use of one of these segments are extracted, and various metrics are calculated and compared. Additionally, novel metrics for measuring the impact of new developments in cycling network are presented. Specific examples of significant shifts in route choice are detected and visualized. The results indicate that the share of PBS trips that employ any of the newly improved street segments has increased compared to the pre-construction period. This study demonstrates how public bicycle sharing data can be effectively used to assess the impact of infrastructure on cyclists' route choice, and presents specific findings in the case of Tartu.
数据驱动法评估新开发的自行车基础设施对骑车人路线选择的影响
发展安全高效的自行车网络是创建更适合骑自行车的社区的重要组成部分,因此,更可持续的社区。为了有效地促进骑行,不断完善和扩大骑行网络至关重要。然而,理解和衡量新开发的自行车基础设施的影响并不总是一项简单的任务,这通常是通过有限范围的调查或模拟来完成的。本研究旨在提出一种数据驱动的方法,利用公共自行车共享(PBS)数据来估计自行车网络中新开发的链接的影响。以爱沙尼亚塔尔图为例,使用连续三年的PBS数据来衡量新建自行车基础设施的街道段利用率的变化。利用其中一个路段的自行车共享行程被提取出来,并计算和比较各种指标。此外,提出了衡量自行车网络新发展影响的新指标。在路线选择的重大变化的具体例子被检测和可视化。结果表明,与施工前相比,使用任何新改善的街道段的PBS旅行份额有所增加。本研究展示了公共自行车共享数据如何有效地用于评估基础设施对骑行者路线选择的影响,并在塔尔图的案例中提出了具体的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.50
自引率
11.50%
发文量
197
期刊介绍: A major resurgence has occurred in transport geography in the wake of political and policy changes, huge transport infrastructure projects and responses to urban traffic congestion. The Journal of Transport Geography provides a central focus for developments in this rapidly expanding sub-discipline.
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