Geospatial Dashboards for Monitoring Smart City Performance

被引:29
|
作者
Jing, Changfeng [1 ]
Du, Mingyi [1 ]
Li, Songnian [1 ,2 ]
Liu, Siyuan [2 ]
机构
[1] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 100044, Peoples R China
[2] Ryerson Univ, Dept Civil Engn, Toronto, ON M5B 2K3, Canada
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
geospatial; dashboard; smart cities; indicator; visualization; MANAGEMENT; SUPPORT; INDICATORS; CITIES; INFORMATION; SUSTAINABILITY; COMPSTAT; DESIGN; SYSTEM; MODEL;
D O I
10.3390/su11205648
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Geospatial dashboards have attracted increasing attention from both user communities and academic researchers since the late 1990s. Dashboards can gather, visualize, analyze and advise on urban performance to support sustainable development of smart cities. We conducted a critical review of the research and development of geospatial dashboards, including the integration of maps, spatial data analytics, and geographic visualization for decision support and real-time monitoring of smart city performance. The research about this kind of system has mainly focused on indicators, information models including statistical models and geospatial models, and other related issues. This paper presents an overview of dashboard history and key technologies and applications in smart cities, and summarizes major research progress and representative developments by analyzing their key technical issues. Based on the review, we discuss the visualization model and validity of models for decision support and real-time monitoring that need to be further researched, and recommend some future research directions.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Characterizing Digital Dashboards for Smart Production Logistics
    Flores-Garcia, Erik
    Jeong, Yongkuk
    Wiktorsson, Magnus
    Kwak, Dong Hoon
    Woo, Jong Hun
    Schmitt, Thomas
    Hanson, Lars
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT II, 2022, 664 : 521 - 528
  • [32] Smart Data for Performance Monitoring of City-Bus Services-A Case Study of Ahmedabad
    Alexander, Sarah
    Sinha, Shalini
    Modi, Khelan
    URBAN MOBILITY RESEARCH IN INDIA, UMI 2022, 2023, 361 : 25 - 45
  • [33] Turbocharging Geospatial Visualization Dashboards via a Materialized Sampling Cube Approach
    Yu, Jia
    Sarwat, Mohamed
    2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020), 2020, : 1165 - 1176
  • [34] When Design Fiction Meets Geospatial Sciences to Create a More Inclusive Smart City
    Blacutt, Andree-Anne
    Roche, Stephane
    SMART CITIES, 2020, 3 (04): : 1334 - 1352
  • [35] A New Approach to Simulating Node Deployment for Smart City Applications Using Geospatial Data
    Senturk, Izzet Fatih
    Kebe, Gaoussou Youssouf
    2019 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS (ISNCC 2019), 2019,
  • [36] Complex Event Processing in Smart City Monitoring Applications
    Khazael, Behnam
    Malazi, Hadi Tabatabaee
    Clarke, Siobhan
    IEEE ACCESS, 2021, 9 (09): : 143150 - 143165
  • [37] Mitigating and Monitoring Smart City Using Internet of Things
    Jha, Sudan
    Nkenyereye, Lewis
    Joshi, Gyanendra Prasad
    Yang, Eunmok
    CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 65 (02): : 1059 - 1079
  • [38] Monitoring Data Stream Reliability in Smart City Environments
    Kuemper, Daniel
    Iggena, Thorben
    Fischer, Marten
    Toenjes, Ralf
    Pulvermueller, Elke
    2016 IEEE 3RD WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2016, : 571 - 576
  • [39] City Dashboards: The Case of Trieste Trieste Overview
    Brunetto, Oscar
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT IV, 2017, 10407 : 710 - 721
  • [40] Building City Dashboards for Different Types of Users
    Young, Gareth W.
    Kitchin, Rob
    Naji, Jeneen
    JOURNAL OF URBAN TECHNOLOGY, 2021, 28 (1-2) : 289 - 309