Abstract

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.

Highlights

  • Smart cities focuses on realizing sustainable, efficient, and effective public and private services and infrastructure in urban space [1]

  • We extend the definition of geospatial business intelligence from Badard and Dube [12], and define geospatial dashboard as a web-based interactive interface that is supported by a platform combining mapping, spatial analysis, and visualization with proven business intelligence tools

  • We conducted a critical review on the development of geospatial dashboards, from its evolution to key technologies, applications, and challenges, in which theory and technology for architecture, design, indicators, and visualization were examined

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Summary

Introduction

Smart cities focuses on realizing sustainable, efficient, and effective public and private services and infrastructure in urban space [1]. Geospatial dashboards have been developed to measure the performance of smart cities [1,2,3], which have attracted considerable interest from academia, industry, and government due to the geospatial nature of city development, function, and management, the need for sustainable urban development, and the interest in new managerialism systems. The new managerialism involves citizens who generate geospatial data, interact collaboratively with the government [8], and look for evidence-based decision-making [9]. These characteristics of new managerialism result in the need for geospatial dashboards to support city management

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