The Development Of An Integrated Planning And Decision Support System Ipdss For Land Consolidation

This book provides an extensive review of three interrelated issues: land fragmentation, land consolidation, and land reallocation, and it presents in detail the theoretical background, design, development and application of a prototype integrated planning and decision support system for land consolidation. The system integrates geographic information systems (GIS) and artificial intelligence techniques including expert systems (ES) and genetic algorithms (GAs) with multi-criteria decision methods (MCDM), both multi-attribute (MADM) and multi-objective (MODM). The system is based on four modules for measuring land fragmentation; automatically generating alternative land redistribution plans; evaluating those plans; and automatically designing the land partitioning plan. The presented research provides a new scientific framework for land-consolidation planning both in terms of theory and practice, by presenting new findings and by developing better tools and methods embedded in an integrated GIS environment. It also makes a valuable contribution to the fields of GIS and spatial planning, as it provides new methods and ideas that could be applied to improve the former for the benefit of the latter in the context of planning support systems. “From the 1960s, ambitious research activities set out to observe regarding IT-support of the complex and time consuming redistribution processes within land consolidation – without any practically relevant results, until now. This scientific work is likely to close that gap. This distinguished publication is highly recommended to land consolidation planning experts, researchers and academics alike.” – Prof. Dr.-Ing. Joachim Thomas, Münster/ Germany "Planning support systems take new scientific tools based on GIS, optimisation and simulation and use these to inform the process of plan-making and policy. This book is one of the first to show how this can be consistently done and it is a triumph of demonstrating how such systems can be made operational. Essential reading for planners, analysts and GI scientists." – Prof. Michael Batty, University College London

This book collects a selection of the best articles presented at the CUPUM (Computers in Urban Planning and Urban Management) conference, held in the second week of July 2013 in Utrecht, the Netherlands. The articles included were selected by external reviewers using a double blind process.

This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas. It investigates the relationships between human behaviors and spatial patterns in order to simulate activities in an urban space, visualize planning alternatives, and support decision making. The book first explains urban space using geometric patterns, such as points, networks, and polygons, that help identify patterns of household and individual human behavior. Next, it details how novel simulation methodologies, such as cellular automaton and multi-agent systems, and conventional urban modeling, such as spatial interaction models, can be used to identify an optimal or a simulated solution for a better urban form. The book develops a comprehensive land use and transportation integrated model used to explore the spatial patterns of mutual interaction between human mobility and urban space. This model can help forecast the distribution of different types of households, rent prices, and land prices, as well as the distribution of routes and traffic volume based on an appraisal of labor demand and supply. This book shows how geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning. Offering both novel and conventional approaches to urban modeling, it will appeal to researchers, students, and policy makers looking for the optimal way to plan the d evelopment of a mega-metropolitan area.

The book comprises innovative research presented at the 14th Conference of the Association of Geographic Information Laboratories in Europe (AGILE), held in 2011 in Utrecht, The Netherlands. The scientific papers cover a large variety of fundamental research topics as well as applied research in Geoinformation Science including measuring spatiotemporal phenomena, quality and semantics, spatiotemporal analysis, modeling and decision support as well as spatial information infrastructures. The book is aimed at researchers, practitioners and students who work in various fields and disciplines related to Geoinformation Science and technology.

This book constitutes selected papers from the 19th European, Mediterranean, and Middle Eastern Conference, EMCIS 2022, which was held virtually during December 7-8, 2022. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 47 papers presented in this volume were carefully reviewed and selected from a total of 136 submissions. They were organized in topical sections named: Artificial intelligence; big data and analytics; blockchain technology and applications; cloud computing; digital governance; digital services and social media; emerging computing technologies and trends for business process management; enterprise systems; information system security and information privacy protection; innovative research projects; IT governance and alignment; management and organizational issues in information systems; and metaverse.

This book investigates why and how cycle and walking paths can help to promote the regeneration of marginalized areas facing depopulation and economic decline. In addition, it offers a broad overview of recent scientific research into slow tourism and marginality/spatial inequality and explores the linkages between these topics. Key issues are addressed by experts from various disciplinary backgrounds, and potential measures are proposed for the integration of slow tourism into strategies for regional development. Particular attention is devoted to the VENTO project, which involves the creation of a 700-km-long cycle route from Venice to Turin that passes through various rural and marginalized areas of northern Italy. The goal, research process, design, and early lessons from this important project are all discussed in detail. Moreover, the book describes policies and strategies that have successfully been used to enhance the slow tourism infrastructure in other European countries. Given its scope, the book will appeal to researchers, professionals, and students interested in e.g. policymaking, tourism planning, regional development, and landscape and urban planning.

Supporting Shrinkage describes a new approach to citizen-engaged, community-focused planning methods and technologies for cities and regions facing decline, disinvestment, shrinkage, and social and physical distress. The volume evaluates the benefits and costs of a wide range of analytic approaches for designing policy and planning interventions for shrinking cities and distressed communities. These include collaborative planning, social media, civic technology, game design, analytics, decision modeling and decision support, and spatial analysis. The authors present case studies of three US cities addressing shrinkage and decline, with a focus on issues of social justice, democratization of knowledge, and local empowerment. Proposed as a solution is an approach that puts community engagement and empowerment at the center, combined with data and technology innovations. The authors argue that decisions informed by qualitative and quantitative data and analytic methods, implemented through accessible and affordable technologies, and based on notions of social impact and social justice, can enable residents to play a leading role in the positive transformation of shrinking cities and distressed communities.

As more of the West becomes susceptible to the public demand for housing development with environmental amenities, the need to understand development's impacts upon the environment becomes a greater concern. The loss of valuable farms and ranchlands, as well as animal habitat, is an issue of growing importance as the population of the West increases. Planning support systems rely upon data collected, displayed and analyzed with a geographic information system to facilitate decision-making that accounts for multiple environmental variables that are affected by development. However, planning support systems tend to focus on a specific area of planning, such as environmental or economic concerns. Different technologies allow the incorporation of diverse data sets for decision support, though questions of whether and how they can be integrated remain inadequately explored. Combining two planning support systems allows for the investigation of those factors which are well represented in one system with those that are well represented in another. This paper offers an approach to evaluating the interoperability of two planning support systems that can help to identify development's effects on the environment. The use of a scenario-based comparison offers a way to document the variation between management options, and provides a means to understand the two planning support systems. A framework for planning support system evaluation was modified from one developed by the U.S. Environmental Protection Agency (2000). It was discovered that the integration of two planning support technologies with contrasting purposes is better used for certain tasks than others. Each technology offers different functionalities which play roles in the planning process. Future research should examine the barriers to planning support system interoperability, as well as the willingness of decision-makers to use these programs.