Messung individueller Wohlfahrt

Ahlheim, Michael; Rose, Manfred

doi:10.1007/978-3-642-97185-3

Cited by 5 publications

(3 citation statements)

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“…Some economists claim that the modeler's task of providing information for decision support ends at this point (Ahlheim and Rose, 1989). However, in practice, some (monetary) valuation of the resulting behavioral changes is o en required.…”

Section: Discussionmentioning

confidence: 99%

“…However, as Ahlheim and Rose (1989) point out, no approach to empirically determine these weights is available without assuming some arbitrary a-priori speci cation. In consequence, every interpersonal comparison of utility changes requires some normative decision and the weights need therefore to be determined on a political level.…”

Section: Aggregating Individual Valuesmentioning

confidence: 99%

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The Multi-Agent Transport Simulation MATSim

Axhausen¹

2016

482

123

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PrefaceDeveloping complex so ware for over a decade with a heterogeneous group of engineers and scientists, each with widely di erent skill levels and expertise across multiple locations around the world, requires dedication and mechanisms unusual for a university environment. This book is one of these mechanisms. It allows us, collectively, to take stock and present a coherent state-of-the-system: for us and anyone interested in this approach. It highlights basics for the student who wants to undertake a small rst research project as part of his or her degree, provides a description of the main functionalities, in detail, for the engineer setting up MATSim (MultiAgent Transport Simulation) to conduct a policy analysis and, nally, ts the approach into the theoretical background of complex systems in computer science and physics.The choice of the additional e-book format is an advantage, as it allows us to keep the book upto-date with future chapters, revisions and, if necessary, errata. Equally importantly it allows you, the readers, to select those sections relevant to your needs.The book comes at an important time for the system; for most of the rst decade, its use was limited to the original developers and users in Berlin and Zürich. It is now much more widely consulted around the world, as we document in the chapter summarizing contributions on scenarios so far.Scenario: This term will occur again and again. In MATSim context, it is de ned as the combination of speci c agent populations, their initial plans and activity locations (home, work, education), the network and facilities where, and on which, they compete in time-space for their slots and modules, i.e., behavioral dimensions, which they can adjust during their search for equilibrium. Within these scenarios, the user can experiment and explore with behavioral utility function parameters, with the sampling rate of the population between 1 % and 100 %, with algorithm parameters, e.g., the share of the sample engaged in replanning in any iteration, or behavioral dimensions or exact settings necessary to avoid gridlock due to the tra c ow dynamics. The creation of a scenario is a substantial e ort, and the framework makes a number of tools available to accelerate it: population synthesizers, network editors, network converters between popular formats and the MATSim representation, e.g., OSM (OpenStreetMap) or GTFS (General Transit Feed Speci cation), semi-automatic network matching to join information, among others.A large group of colleagues has been involved and many of them are contributors to this book; this is a list of those involved, other than ourselves, in Berlin, Singapore and Zürich. Additional contributors are mentioned as authors of their respective chapters in this book. We hope to acknowledge the contributions of more colleagues from other groups in future versions of this book and in the so ware.Special thanks go to a number of people who greatly helped improving this book beyond their own chapters. Benjamin Kickhöfer's deep knowledge of ...

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Section: Discussionmentioning

confidence: 99%

Section: Aggregating Individual Valuesmentioning

confidence: 99%

The Multi-Agent Transport Simulation MATSim

Axhausen¹

2016

482

123

View full text Add to dashboard Cite

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“…The sustainability order of a society can be derived from the observable market and societal actions of households, enterprises, and institutions and reveals their true preferences for sustainability, thereby allowing implicit conclusions to be drawn about the significance sustainability has for society. This approach is related to the theory of the individual welfare measurement, where a welfare measure is an instrument for drawing conclusions from the observable market actions of the consumers about their unobservable preference order [18][19][20][21][22][23][24][25][26]. This derived societal sustainability order has to be compared with the politically defined sustainability order of, in our case, the German Federal Government.…”

Section: Comparing the Politically Defined And The Derivedmentioning

confidence: 99%

ISD: A New Methodological Approach for Measuring the Sustainability of the German Energy System

Schlör

Fischer

Hake

2011

Economics Research International

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The research community has developed three main concepts and indicator systems to measure sustainability: the capital concept, the ecological concept and the multidimensional concept. Whereas a lot of research has been dedicated to the pros and cons of the three/four-pillar sustainability concept, to the shaping of the pillars and their indicators, research on standardized methods to aggregate the indicators to one index is lacking. However, a useful model exists-the GDP-which summarizes the different economic activities of various social actors in one index. An overall sustainability index has the advantage that the sustainability of a system can be expressed in one index. This allows the sustainability status of a system to be better communicated both to the public and to politicians. Against this background, we developed the Index of Sustainable Development (ISD) to measure the sustainability of systems described by multidimensional sustainability concepts. We demonstrate that it is possible to aggregate sustainability indicators of the multidimensional sustainability concepts to one index. We have chosen exemplarily the German sustainability strategy and selected the energy indicators within it because of the importance of the energy sector and due to the good statistical database in this sector.

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Steuern als Instrumente zur Sicherung einer nachhaltigen Entwicklung

Ahlheim¹

2003

Steuerpolitik — Von Der Theorie Zur Praxis

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Messung individueller Wohlfahrt

Cited by 5 publications

References 0 publications

The Multi-Agent Transport Simulation MATSim

The Multi-Agent Transport Simulation MATSim

ISD: A New Methodological Approach for Measuring the Sustainability of the German Energy System

Steuern als Instrumente zur Sicherung einer nachhaltigen Entwicklung

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