Comparing spatial data sources for cycling studies: a review
Comparing spatial data sources for cycling studies: a review
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比较自行车研究的空间数据源：综述
DOI：
10.4337/9781800370517.00025
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
T. Toivonen
中科院分区：
文献类型：
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作者：
Elias S Willberg;H. Tenkanen;A. Poom;M. Salonen;T. Toivonen
自行车是发展以人为本的城市不可或缺的一部分。为了吸引更多的人骑自行车，城市规划和研究都需要更好地了解骑车的空间、时间和社会方面。新颖的数据源为满足这一需求提供了新的机会，但了解它们的优缺点对于促进使用最合适的数据至关重要。我们回顾了常见的自行车数据来源，并在NECTAR研究人员及其专家网络中进行了一项调查，以比较不同数据对回答一些最常见的自行车问题的适用性。我们的结果强调需要仔细考虑数据的可用性，代表性和适用性。缺乏循环数据和对它的访问仍然被认为是几个审查过的数据源（包括新的和传统的）的主要限制。我们呼吁尽可能强调负责任的数据共享和开放科学实践。
Cycling is integral for developing human-scale cities. To attract more people on bikes, urban planning and research share a need to better understand the spatial, temporal and social aspects of cycling. Novel data sources provide new opportunities to respond to this need, but understanding their strengths and weaknesses is crucial to facilitate the use of the most fitting data. We reviewed common cycling data sources and carried out a survey among NECTAR researchers and their networks of experts to compare the suitability of different data for answering some of the most common questions on cycling. Our results highlight the need for careful consideration of data availability, representativeness and fitness-for-use. The lack of cycling data and access to it is still identified as a main limitation among several of the reviewed data sources, both novel and traditional. We call for increased emphasis on responsible data sharing and open science practices whenever possible.