Network Design And Optimization For Smart Cities

Konstantinos Gakis, Panos Pardalos;;;

• Publisher: WSPC
• ISBN:
  9789813200029
• Topic: Architecture
• Subtopic: Urban Planning & Landscaping

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This comprehensive reference text is a collection of important research findings on the latest developments in network modeling for optimization of smart cities. Such models can be used from outlining the fundamental concepts of urban development to the description and optimization of physical networks, such as power, water or telecommunications. Networks help us understand city economics and various aspects of human interactions within cities with particular applications in quality of life and the flow of people and goods. Finally, the natural environment and even the climate of cities can be modeled and managed as networks.

--> Contents:

• A Mathematical Programing Model for Regional Planning Incorporating Economics, Logistics, Infrastructure and Land Use (Jesús Velásquez, Carolina Saldaña and Edgar Gutierrez-Franco)
• Energy Efficiency in Urban Electrical Grids through Consumer Networking (Georgios T Andreou, Aggelos S Bouhouras, Apostolos N Milioudis and Dimitris P Labridis)
• Public Location Monitoring Based on Open Source Hardware and Software (Riccardo Beltramo and Paolo Cantore)
• Congestion and Traffic Management at Urban Networks: State-of the-Art Approaches and Challenges (Alexandra Kondyli)
• Transport Solutions and Social Networking for Elderly People in a Smart City Environment (E Stylianidis, E Valari, K Smagas and V Giannoglou)
• Navigating the Internet of Things (Stamatina Th Rassia and Henriette Steiner)
• From Managing Urban Freight to Smart City Logistics Networks (Tolga Bektaş, Teodor Gabriel Crainic and Tom Van Woensel)
• Simulation-based Assessments of Smart Mobility Strategies (Hussein Dia, Farid Javanshour and Sakda Panwai)
• Smart Sensing — New Approaches for User Driven Social Urban Acting (Jan-Philipp Exner and Peter Zeile)
• Reality Mining in Urban Spaces by Using Citizens as Living Sensors (Dimitrios Ververidis, Spiros Nikolopoulos, Symeon Papadopoulos and Ioannis Kompatsiaris)
• Climate Change-Oriented Urban Green Network Design: A Decision Support Tool (Carmela Gargiulo, Andrea Tulisi and Floriana Zucaro)
• City of Things: A Multidisciplinary Smart Cities Testbed for IoT, Big Data and Living Labs Innovation (Bart Braem, Steven Latré, Philip Leroux, Piet Demeester, Tanguy Coenen and Pieter Ballon)
• A City Full of Knowledge: Objects, Habitats, Symbols (Andrea Cerroni)
• Urban Flows and Big Data (Daniel Sarasa Funes)
• Building an Urban Big Data Sharing System (Daniel Sarasa Funes)
• Smart City Policies and Practices for Istanbul in a Nutshell (Ulas Akin and Aybike Ongel)

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Readership: Urban planners, researchers, academics, professionals and graduate students in neural networks/networking, systems engineering, electrical & electronic engineering, and energy studies.
-->Smart Cities;Networks;E-Governance;Optimization;Urban Planning0

Chapter 1

A Mathematical Programing Model for Regional Planning Incorporating Economics, Logistics, Infrastructure and Land Use

Jesús Velásquez*^,§, Carolina Saldaña^†,¶ and Edgar Gutierrez-Franco^‡,‖

*DecisionWare Europe, Madrid, Spain

^†Universidad Externado de Colombia, Business School Bogotá, Colombia

^‡Department of Industrial Engineering, University of Central Florida Orlando, FL, USA

^§[email protected]

^¶[email protected]

^‖[email protected]

This work presents a methodology and a technological tool to support regional planning in a city, which considers the economics, the logistics and the land use for a region. It involves the design of integrated mathematical models for allocation of facilities, transportation of people and goods. It meets the demands of goods and services for the main activities of a city, its people and the industry. The methodology considers factors such as: population growth, zoning, geographic mapping, employment, land supply, urban and rural freight flows, allocation of healthcare, education, public space and other social services, and the analysis of the outcomes of land use.

1.Introduction

The development of a region is strongly correlated with the determination of their managers to reduce social inequalities by supporting the quality of life through employment, health, education, and correct economic decisions [1]. This work presents a methodology to support regional planning which considers the economics, the logistics and the land use. For urban planners and government policy makers, the integration of these elements (land, people and services) are not taken into account simultaneously [2–4]. The above necessities highlight the importance of a decision making tools in urban planning that helps and supports the implementation of sustainable policies [5], [6]. The application of integrated models of urban land and transportation has been discussed in the last decades. Wegener [8] and Anas [7] present operationally land-use transportation models using criteria such as comprehensiveness, overall structure, modeling techniques, dynamics, data requirements, calibration and validation [7], [8]. Addressing these challenges is the objective of this work. The methodology considers factors such as: population growth, zoning, geographic mapping, employment, land supply, urban and rural freight flow necessities, allocation of healthcare, education, public space and other social services. It also analyzes the outcomes created by land use. The mathematical model was implemented in one major Latin American city: Medellin, Colombia. This methodology allows the integration and organization of several optimization models, which generates the necessary insights that provide the decision maker with the “best” decisions [9]. The DSS associated with a Land Use Plan needs at least two main models:

Economic Model (M-ECO): This model is aimed at determining the business structure and population development that would exist if it meets certain goals of socio-economic development using a specific business/economics development policy. It determines the demand of social services and must be based in equilibrium models. This model is not described in this document.

Land-Space Model (M-LSP): This model determines the structure and the activity levels of the supply chain of social services. Aimed at determining the distribution in space of individuals, businesses, services, and transportation systems that could support development goals and socio-economic policies. Under the specific business/economics development, which maximizes a function of social utility (social surplus) or minimizes a function of social cost, that reflects the reference factors and summarizes the investment costs and the expected social benefits in the future, as a result of planning decisions to be taken under an economic scenario of reference [7], [10]. The model of territorial allocation is subject to two main exogenous sources of information, which are: the macroeconomic model and the initial state of land use at the beginning of the simulation period. The land-space model must be solved for each socio-economic scenario from M-ECO, so that each problem to solve will be refe...

Table of contents

• Cover
• Title
• Copyright
• Preface
• Contents
• Chapter 1. A Mathematical Programing Model for Regional Planning Incorporating Economics, Logistics, Infrastructure and Land Use
• Chapter 2. Energy Efficiency in Urban Electrical Grids through Consumer Networking
• Chapter 3. Public Location Monitoring Based on Open Source Hardware and Software
• Chapter 4. Congestion and Traffic Management at Urban Networks: State-of the-Art Approaches and Challenges
• Chapter 5. Transport Solutions and Social Networking for Elderly People in a Smart City Environment
• Chapter 6. Navigating the Internet of Things
• Chapter 7. From Managing Urban Freight to Smart City Logistics Networks
• Chapter 8. Simulation-based Assessments of Smart Mobility Strategies
• Chapter 9. Smart Sensing – New Approaches for User Driven Social Urban Acting
• Chapter 10. Reality Mining in Urban Spaces by Using Citizens as Living Sensors
• Chapter 11. Climate Change-Oriented Urban Green Network Design: A Decision Support Tool
• Chapter 12. City of Things: A Multidisciplinary Smart Cities Testbed for IoT, Big Data and Living Labs Innovation
• Chapter 13. A City Full of Knowledge: Objects, Habitats, Symbols
• Chapter 14. Urban Flows and Big Data
• Chapter 15. Building an Urban Big Data Sharing System
• Chapter 16. Smart City Policies and Practices for Istanbul in a Nutshell
• Index