Data analytics on key indicators for the city's urban services and
dashboards for leadership and decision-making
- URL: http://arxiv.org/abs/2212.03081v4
- Date: Tue, 12 Sep 2023 22:22:16 GMT
- Title: Data analytics on key indicators for the city's urban services and
dashboards for leadership and decision-making
- Authors: Md Aminul Islam (1), Md Abu Sufian (2) ((1) Oxford Brookes University,
UK, (2) Data Analysis for Business Intelligence, University of Leicester)
- Abstract summary: Dashboards may collect, display, analyze, and provide information on regional performance to help smart cities development have sustainability.
This chapter culminates Data Analytics on key indicators for the city's urban services and dashboards for leadership and decision-making.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Cities are continuously evolving human settlements. Our cities are under
strain in an increasingly urbanized world, and planners, decision-makers, and
communities must be ready to adapt. Data is an important resource for municipal
administration. Some technologies aid in the collection, processing, and
visualization of urban data, assisting in the interpretation and comprehension
of how urban systems operate. The relationship between data analytics and smart
cities has come to light in recent years as interest in both has grown. A
sophisticated network of interconnected systems, including planners and
inhabitants, is what is known as a smart city. Data analysis has the potential
to support data-driven decision-making in the context of smart cities. Both
urban managers and residents are becoming more interested in city dashboards.
Dashboards may collect, display, analyze, and provide information on regional
performance to help smart cities development have sustainability. In order to
assist decision-making processes and enhance the performance of cities, we
examine how dashboards might be used to acquire accurate and representative
information regarding urban challenges. This chapter culminates Data Analytics
on key indicators for the city's urban services and dashboards for leadership
and decision-making. A single web page with consolidated information, real-time
data streams pertinent to planners and decision-makers as well as residents'
everyday lives, and site analytics as a method to assess user interactions and
preferences are among the proposals for urban dashboards.
Keywords: -Dashboard, data analytics, smart city, sustainability, Smart
cities, City dashboards, Urban services, Decision-making, Interconnected
systems, Real-time data streams, Key indicators, and Urban challenges.
Related papers
- MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [52.0930915607703]
Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to humans.
Micromobility enabled by AI for short-distance travel in public urban spaces plays a crucial component in the future transportation system.
We present MetaUrban, a compositional simulation platform for the AI-driven urban micromobility research.
arXiv Detail & Related papers (2024-07-11T17:56:49Z) - Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement [7.334114326621768]
Generative Artificial Intelligence (AI) models have demonstrated their unique values in data and code generation.
The survey starts with the introduction of popular generative AI models with their application areas, followed by a review of the existing urban science applications.
Based on the review, this survey discusses potential opportunities and technical strategies that integrate generative AI models into the next-generation urban digital twins.
arXiv Detail & Related papers (2024-05-29T19:23:07Z) - Unified Data Management and Comprehensive Performance Evaluation for
Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark] [78.05103666987655]
This work addresses challenges in accessing and utilizing diverse urban spatial-temporal datasets.
We introduceatomic files, a unified storage format designed for urban spatial-temporal big data, and validate its effectiveness on 40 diverse datasets.
We conduct extensive experiments using diverse models and datasets, establishing a performance leaderboard and identifying promising research directions.
arXiv Detail & Related papers (2023-08-24T16:20:00Z) - The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics [5.674216760436341]
The complex nature of urban issues and the overwhelming amount of available data have posed significant challenges in translating these efforts into actionable insights.
When analyzing a feature of interest, an urban expert must transform, integrate, and visualize different thematic (e.g., sunlight access, demographic) and physical (e.g., buildings, street networks) data layers.
This makes the entire visual data exploration and system implementation difficult for programmers and also sets a high entry barrier for urban experts outside of computer science.
arXiv Detail & Related papers (2023-08-15T13:43:04Z) - Data Analytics for Smart cities: Challenges and Promises [3.1498833540989413]
The goal of this study is to provide a comprehensive survey of data analytics in smart cities.
In this paper, we aim to focus on one of the smart cities important branches, namely Smart Mobility.
Intelligent decision-making systems in smart mobility offer many advantages such as saving energy, relaying city traffic, and more importantly, reducing air pollution by offering real-time useful information and imperative knowledge.
arXiv Detail & Related papers (2021-09-12T18:33:24Z) - AI in Smart Cities: Challenges and approaches to enable road vehicle
automation and smart traffic control [56.73750387509709]
SCC ideates on a data-centered society aiming at improving efficiency by automating and optimizing activities and utilities.
This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.
arXiv Detail & Related papers (2021-04-07T14:31:08Z) - Urban Sensing based on Mobile Phone Data: Approaches, Applications and
Challenges [67.71975391801257]
Much concern in mobile data analysis is related to human beings and their behaviours.
This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.
arXiv Detail & Related papers (2020-08-29T15:14:03Z) - Data as Infrastructure for Smart Cities: Linking Data Platforms to
Business Strategies [0.0]
Cross-domain city data offers a new wave of opportunities to mitigate some of these impacts.
Current smart cities initiatives have mainly addressed the problem of data management from a technology perspective.
This paper proposes a systematic business-modeldriven framework to guide the design of large and highly interconnected data infrastructures.
arXiv Detail & Related papers (2020-05-22T22:53:05Z) - Smart Urban Mobility: When Mobility Systems Meet Smart Data [55.456196356335745]
Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050.
The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $482.05 billion in the U.S.
arXiv Detail & Related papers (2020-05-09T13:53:01Z) - City limits in the age of smartphones and urban scaling [0.0]
Urban planning still lacks appropriate standards to define city boundaries across urban systems.
ICT provide the potential to portray more accurate descriptions of the urban systems.
We apply computational techniques over a large volume of mobile phone records to define urban boundaries.
arXiv Detail & Related papers (2020-05-06T17:31:21Z) - Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data [58.720142291102135]
By 2050 two thirds of the world population will reside in urban areas.
This growth is faster and more complex than the ability of cities to measure and plan for their sustainability.
To understand what makes a city inclusive for all, we define a methodology to identify and characterize spatial subdivisions.
arXiv Detail & Related papers (2020-02-20T14:37:46Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.