Computational urban planning and management for smart cities
著者
書誌事項
Computational urban planning and management for smart cities
(Lecture notes in geoinformation and cartography)
Springer, c2019
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Other editors: Qingming Zhan, Andrew Allan, Christopher Pettit
Includes bibliographical references and index
内容説明・目次
内容説明
This book contains a selection of the best articles presented at the CUPUM (Computational Urban Planning and Urban Management) conference, held in the second week of July 2019 at the University of Wuhan, China. The chapters included were selected based on a double-blind review process involving external reviewers.
目次
Computational Planning and Management for Smart Cities: An Introduction.- Sejong Smart City: on the Road to be a City of the Future.- Data Protection Law and City Planning: Role of Open Data in Climate Resilience and Governance of National Capital Territory of Delhi, India.- Exploring Shared-Bike Travel Patterns Using Big Data: Evidence in Chicago and Budapest.- Can Social Media Play a Role in Urban Planning? A Literature Review.- Bridging the Information and Physical Space: Measuring Flow from Geo-Located Social Media Data on the Street Network.- Comparing Smart Governance Projects in China: A Contextual Approach.- A Preliminary Study on Micro-Scale Planning Support System.- Geodesign - A Tale of Three Cities.- Towards a Better Understanding of Urban Sprawl: Linking Spatial Metrics and Landscape Network Dynamics.- Correlating Household Travel Carbon Emissions, Travel Behavior and Land Use: Case Study of Wuhan, China.- A Simulation Platform for Transportation, Land Use and Mobile Source Emissions.- Hosting a Mega Event, a Drive Towards Sustainable Development: Dubai's Expo 2020.- Deep Learning Architect: Classification for Architectural Design Through the Eye of Artificial Intelligence.- An Immersive 3D Virtual Environment to Support Collaborative Learning and Teaching.- Spatiotemporal Information System Using Mixed Reality for Area-Based Learning and Sightseeing.- Origin-Destination Estimation of Bus Users by Smart Card Data.- The Comparison Between Two Different Algorithms of Spatio-Temporal Forecasting for Traffic Flow Prediction.- Developing a Behavioural Model for Modal Shift in Commuting.- Planning for Safer Road Facilities for Bicycle Users at Junctions.- Method to Evaluate the Location of Aged Care Facilities in Urban Areas Using Median Share Ratio.- Identifying Changes in Critical Locations for Transportation Networks Using Centrality.- Efficient Regional Travel for Rescue and Relief Activities in a Disaster.- A Two-Stage Process for Emergency Evacuation Planning: Shelter Assignment and Routing.- A Comprehensive Regional Accessibility Model Based on Actual Routes-of-Travel: A Proposal with Multiple Online Data.- Taxi Behavior Simulation and Improvement with Agent-Based Modelling.
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