城市化对国家公园影响的城市情报服务

Yuan-Chih Yu
{"title":"城市化对国家公园影响的城市情报服务","authors":"Yuan-Chih Yu","doi":"10.1109/INISTA49547.2020.9194672","DOIUrl":null,"url":null,"abstract":"Yangmingshan National Park occupies half of Taipei's area in Taiwan. However, due to urbanization, many problems have arisen, including transportation, housing, food, shopping, development management, and ecological protection. Among them, the transportation problem is the key issue. To analyze the transportation problem, we construct the graph analytical model to present the logical meaning of the traffic/tourist distribution in time and space and to reflect the traffic functionality of each tourist attraction area. Based on this model, we can deploy it on the cloud as an intelligence analysis service to explore the recreation function of the national park area by analyzing the flows of tourism and traffic with open data. Enabling urban intelligence with big data and AI, sustainable improvement of people's lives, city operation systems, and the environment can be achieved. We hope the introduction of urban intelligence service benefits the development of Yangmingshan National Park, effectively solving the problems of traffic congestion, environmental degradation, and cumbersome planning dilemma.","PeriodicalId":124632,"journal":{"name":"2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Urban Intelligence Service for the impact of urbanization on National Park\",\"authors\":\"Yuan-Chih Yu\",\"doi\":\"10.1109/INISTA49547.2020.9194672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Yangmingshan National Park occupies half of Taipei's area in Taiwan. However, due to urbanization, many problems have arisen, including transportation, housing, food, shopping, development management, and ecological protection. Among them, the transportation problem is the key issue. To analyze the transportation problem, we construct the graph analytical model to present the logical meaning of the traffic/tourist distribution in time and space and to reflect the traffic functionality of each tourist attraction area. Based on this model, we can deploy it on the cloud as an intelligence analysis service to explore the recreation function of the national park area by analyzing the flows of tourism and traffic with open data. Enabling urban intelligence with big data and AI, sustainable improvement of people's lives, city operation systems, and the environment can be achieved. We hope the introduction of urban intelligence service benefits the development of Yangmingshan National Park, effectively solving the problems of traffic congestion, environmental degradation, and cumbersome planning dilemma.\",\"PeriodicalId\":124632,\"journal\":{\"name\":\"2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INISTA49547.2020.9194672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INISTA49547.2020.9194672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

阳明山国家公园占台湾台北面积的一半。然而,由于城市化,出现了许多问题,包括交通、住房、食品、购物、开发管理和生态保护。其中,交通问题是关键问题。为了分析交通问题,我们构建了图形分析模型,以呈现交通/游客在时间和空间上分布的逻辑意义,并反映每个旅游区的交通功能。基于该模型,我们可以将其部署在云端,作为智能分析服务,通过开放数据分析旅游流量和交通流量,探索国家公园区的游憩功能。通过大数据和人工智能实现城市智慧,实现人们生活、城市运行系统和环境的可持续改善。我们希望引入城市智能服务,造福阳明山国家公园的发展,有效解决交通拥堵、环境恶化、规划繁琐困境等问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Urban Intelligence Service for the impact of urbanization on National Park
Yangmingshan National Park occupies half of Taipei's area in Taiwan. However, due to urbanization, many problems have arisen, including transportation, housing, food, shopping, development management, and ecological protection. Among them, the transportation problem is the key issue. To analyze the transportation problem, we construct the graph analytical model to present the logical meaning of the traffic/tourist distribution in time and space and to reflect the traffic functionality of each tourist attraction area. Based on this model, we can deploy it on the cloud as an intelligence analysis service to explore the recreation function of the national park area by analyzing the flows of tourism and traffic with open data. Enabling urban intelligence with big data and AI, sustainable improvement of people's lives, city operation systems, and the environment can be achieved. We hope the introduction of urban intelligence service benefits the development of Yangmingshan National Park, effectively solving the problems of traffic congestion, environmental degradation, and cumbersome planning dilemma.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信