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This book forms a selection of chapters submitted for the CUPUM (Computational Urban Planning and Urban Management) conference, held in the second week of June 2021 at Aalto University in Helsinki, Finland. Chapters were selected from a double-blind review process by the conference's scientific committee. The chapters in the book cover developments and applications with big data and urban analytics, collaborative urban planning, applications of geodesign and innovations, and planning support science.
Annotation This practical book gives young professionals all the information they need to know to get started in the space business. It takes you step-by-step through processes for systems engineering and acquisition, design and development, cost analysis, and program planning and analysis. You'll find the systems engineering and design process that applies to all space transportation systems, then the overall system architecture considerations that also apply to all space transportation systems. There is also detailed coverage of space launch vehicles by class, including the current space shuttle, other manned reusable systems, expendable systems, and future systems. A companion CD-ROM contains the Operations Simulation and Analysis Modeling System software.
Scheduled transportation networks give rise to very complex and large-scale networkoptimization problems requiring innovative solution techniques and ideas from mathematical optimization and theoretical computer science. Examples of scheduled transportation include bus, ferry, airline, and railway networks, with the latter being a prime application domain that provides a fair amount of the most complex and largest instances of such optimization problems. Scheduled transport optimization deals with planning and scheduling problems over several time horizons, and substantial progress has been made for strategic planning and scheduling problems in all transportation domains. This state-of-the-art survey presents the outcome of an open call for contributions asking for either research papers or state-of-the-art survey articles. We received 24 submissions that underwent two rounds of the standard peer-review process, out of which 18 were finally accepted for publication. The volume is organized in four parts: Robustness and Recoverability, Robust Timetabling and Route Planning, Robust Planning Under Scarce Resources, and Online Planning: Delay and Disruption Management.
Originally published in 1979 and with a case-study from Indonesia, this volume examines the question of planning the provision of transport facilities as a special case of the general planning problem. It deals with the modelling (including conceptual short-comings of it), analysis, estimation and control of transport planning and the challenges associated with planning in uncertainty. As well as devoting specific chapters to network planning, the book also provides background material on transport planning, locational theory and economics.
This book contains selected peer-reviewed papers that were presented at the Fourth International Symposium on Transportation Network Reliability (INSTR) Conference held at the University of Minnesota July 22-23, 2010. International scholars, from a variety of disciplines--engineering, economics, geography, planning and transportation—offer varying perspectives on modeling and analysis of the reliability of transportation networks in order to illustrate both vulnerability to day-to-day and unpredictability variability and risk in travel, and demonstrates strategies for addressing those issues. The scope of the chapters includes all aspects of analysis and design to improve network reliability, specifically user perception of unreliability of public transport, public policy and reliability of travel times, the valuation and economics of reliability, network reliability modeling and estimation, travel behavior and vehicle routing under uncertainty, and risk evaluation and management for transportation networks. The book combines new methodologies and state of the art practice to model and address questions of network unreliability, making it of interest to both academics in transportation and engineering as well as policy-makers and practitioners.
Cities expand, upwards and outwards, and their physical structure can last a very long time, not just tens but hundreds of years. Nevertheless, they are rarely designed for expansion. Their layout does not allow for extension or for the retrofitting of infrastructure and can constrain, and often prevent, the growth and change of activities within them - cities are not 'robust' in their design. In other words, change is not planned for but involves costly reconstruction. The Robust City argues that a robust, expandable and sustainable urban form can be deduced from planning goals. Development should not just follow public transport corridors but should not be allowed beyond walking distance from them. This would create 'green enclaves' that would permit not only recreational access but also the retrofitting of infrastructure and the efficient circulation of motor vehicles. The same principles could also be applied within neighbourhoods and to facilitate the rational handling of urban intensification.