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Smart Cities

Overview of attention for book
Cover of 'Smart Cities'

Table of Contents

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    Book Overview
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    Chapter 1 A Robust and Lightweight Protocol Over Long Range (LoRa) Technology for Applications in Smart Cities
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    Chapter 2 A Sustainable Bi-objective Approach for the Minimum Latency Problem
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    Chapter 3 Cities as Enterprises: A Comparison of Smart City Frameworks Based on Enterprise Architecture Requirements
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    Chapter 4 Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings
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    Chapter 5 Considering Congestion Costs and Driver Behaviour into Route Optimisation Algorithms in Smart Cities
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    Chapter 6 Distributed Genetic Algorithms on Portable Devices for Smart Cities
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    Chapter 7 Existing Approaches to Smart Parking: An Overview
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    Chapter 8 Impact of Protests in the Number of Smart Devices in Streets: A New Approach to Analyze Protesters Behavior
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    Chapter 9 Logistics Support Approach for Drone Delivery Fleet
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    Chapter 10 Policy Recommendations Supporting Smart City Strategies: Towards a New Methodological Tool
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    Chapter 11 Predicting Car Park Occupancy Rates in Smart Cities
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    Chapter 12 Predicting Individual Trip Destinations with Artificial Potential Fields
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    Chapter 13 Robust Bi-objective Shortest Path Problem in Real Road Networks
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    Chapter 14 Smart Urban Mobility from Expert Stakeholders’ Narratives
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    Chapter 15 Simulation Model of Traffic in Smart Cities for Decision-Making Support: Case Study in Tudela (Navarre, Spain)
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    Chapter 16 Virtual Development of a Presence Sensor Network Using 3D Simulations
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41 Mendeley
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Title
Smart Cities
Published by
Springer International Publishing, June 2017
DOI 10.1007/978-3-319-59513-9
ISBNs
978-3-31-959512-2, 978-3-31-959513-9
Editors

Alba, Enrique, Chicano, Francisco, Luque, Gabriel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 32%
Researcher 3 7%
Student > Ph. D. Student 3 7%
Student > Bachelor 2 5%
Lecturer 1 2%
Other 3 7%
Unknown 16 39%
Readers by discipline Count As %
Computer Science 11 27%
Business, Management and Accounting 3 7%
Engineering 3 7%
Agricultural and Biological Sciences 1 2%
Environmental Science 1 2%
Other 4 10%
Unknown 18 44%