A Solution to Visualize Open Urban Data for Illegally Parked Bicycles

A Solution to Visualize Open Urban Data for Illegally Parked Bicycles
复制标题

非法停放自行车的开放城市数据可视化解决方案

DOI:
10.1007/978-3-662-53416-8_8
复制
发表时间:
2016
期刊:
Transactions on Large-Scale Data and Knowledge-Centered Systems XXVII
影响因子:
--
通讯作者:
Yasuyuki Tahara and Akihiko Ohsuga
Yasuyuki Tahara and Akihiko Ohsuga
中科院分区:
--
文献类型:
--
作者:
Shusaku Egami;Takahiro Kawamura;Yuichi Sei;Yasuyuki Tahara and Akihiko Ohsuga

文献摘要

相似文献

在日本和其他国家,自行车的非法停放正在成为一个城市问题。我们相信,在网络上公布这些城市问题的数据,如开放数据,将有助于解决问题。然而,可用于非法停放的自行车的开放数据集是粗糙的,并且格式多样,因此难以使用数据开发信息服务。因此,在这项研究中,我们建立了一个生态系统,通过社会收集数据,补充缺失的数据,然后可视化数据,以促进和提高社会对这个问题的认识,从而生成链接数据格式的开放城市数据。在我们的实验中,收集了747条关于东京非法停放自行车的信息,然后我们以64. 3%的准确率估计了非法停放自行车的未知数量。然后,我们将数据发布为开放数据,以及一个Web应用程序,该应用程序将非法停放的自行车的分布可视化在地图上。
The illegal parking of bicycles is becoming an urban problem in Japan and other countries. We believe the data publication of such urban problems on the Web as Open Data will contribute to solving the problems. However, Open Data sets available for the illegally parked bicycles are coarse and in various formats, and then it is difficult to develop information services using the data. In this study, we thus build an ecosystem that generates Open Urban Data in Link Data format by socially collecting the data, complementing the missing data, and then visualizing the data to facilitate and raise social awareness of the problem. In our experiment, 747 pieces of information on the illegally parked bicycles in Tokyo were collected, and then we estimated the unknown number of the illegally parked bicycles with 64.3 % accuracy. Then, we published the data as the Open Data, and also a web application, which visualizes the distribution of the illegally parked bicycles on a map.