Big Data for urban studies: opportunities and challenges: a comparative perspective

被引：0

作者：

Cheng, Jianquan ^{[1
]}

Gould, Nicholas ^{[1
]}

Han, Liangxiu ^{[2
]}

Jin, Cheng ^{[3
]}

机构：

[1] Manchester Metropolitan Univ, Sch Sci & Environm, Manchester, Lancs, England

[2] Manchester Metropolitan Univ, Sch Comp Math & Digital Technol, Manchester, Lancs, England

[3] Nanjing Normal Univ, Sch Geog Sci, Nanjing, Jiangsu, Peoples R China

来源：

2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD) | 2016年

关键词：

Urban Big Data; Urban System; Urban Data Evolution; Interactions; Analytics; Model and Users; GROWTH;

D O I：

10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.169

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A city is a complex system with complicated interactions between transport, land use, environment and population at a variety of scales. Understanding these interactions is the prerequisite for predicting urban changes and supporting sustainable urban development planning. In this paper, we divide the evolution of urban data into four stages. Then the opportunities of big data (new stage) for urban studies application are explored and followed by case studies from both the UK and China. The main challenges are evaluated and the solutions to which are further discussed and compared between both countries.

引用

页码：1229 / 1234

页数：6

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