Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China

Jiangtao Wang; Junfeng Zhao; Yong Zhang; Xin Peng; Ying Li; Yun Xie

doi:10.1109/MC.2018.2880016

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China

Jiangtao Wang
, Junfeng Zhao
, Yong Zhang
, Xin Peng
, Ying Li
, Yun Xie

Research output: Contribution to journal › Article › peer-review

Abstract

Existing smart city systems are designed mainly for urban management from a governmental perspective, but they fail to cover the wide spectrum of citizens' daily lives. We propose a crowdsourcing-based platform through which multiple players can collaborate to produce more abundant, personalized, and proactive services.

Original language	English
Pages (from-to)	42-49
Number of pages	8
Journal	Computer
Volume	51
Issue number	12
DOIs	https://doi.org/10.1109/MC.2018.2880016
Publication status	Published - 1 Dec 2018
Externally published	Yes

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10.1109/MC.2018.2880016

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title = "Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China",

abstract = "Existing smart city systems are designed mainly for urban management from a governmental perspective, but they fail to cover the wide spectrum of citizens' daily lives. We propose a crowdsourcing-based platform through which multiple players can collaborate to produce more abundant, personalized, and proactive services.",

author = "Jiangtao Wang and Junfeng Zhao and Yong Zhang and Xin Peng and Ying Li and Yun Xie",

year = "2018",

month = dec,

day = "1",

doi = "10.1109/MC.2018.2880016",

language = "English",

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journal = "Computer",

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T1 - Enabling Human-Centric Smart Cities

T2 - Crowdsourcing-Based Practice in China

AU - Wang, Jiangtao

AU - Zhao, Junfeng

AU - Zhang, Yong

AU - Peng, Xin

AU - Li, Ying

AU - Xie, Yun

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Existing smart city systems are designed mainly for urban management from a governmental perspective, but they fail to cover the wide spectrum of citizens' daily lives. We propose a crowdsourcing-based platform through which multiple players can collaborate to produce more abundant, personalized, and proactive services.

AB - Existing smart city systems are designed mainly for urban management from a governmental perspective, but they fail to cover the wide spectrum of citizens' daily lives. We propose a crowdsourcing-based platform through which multiple players can collaborate to produce more abundant, personalized, and proactive services.

UR - https://research.lancaster-university.uk/en/publications/a181cdf6-030a-443d-8b90-8e84c96d371f

U2 - 10.1109/MC.2018.2880016

DO - 10.1109/MC.2018.2880016

M3 - Article

SN - 0018-9162

VL - 51

SP - 42

EP - 49

JO - Computer

JF - Computer

IS - 12

ER -

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China

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