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Trotz weltweit umfangreichen Erfahrungen mit Public Private Partnership Projekten im Straßensektor bleibt der Umgang mit dem Verkehrsmengenrisiko für die Projektbeteiligten eine Herausforderung. Die Arbeit widmet sich daher der wesentlichen Fragestellung nach einer effizienten Allokation dieses Risikos, dem nicht weniger Bedeutung zukommt als für den gesamtwirtschaftlichen Erfolg eines Straßenkonzessionsprojektes eine entscheidende Rolle zu spielen. Untersucht werden zunächst die Charakteristika des Verkehrsmengenrisikos mit seinen umfänglichen Einflussfaktoren. Anschließend werden die in der Praxis zur Anwendung kommenden Vertragsmodelle zur Bewirtschaftung von Straßeninfrastruktur dargestellt und analysiert, wie in den einzelnen Modellen Verkehrsmengenrisiko auf die verschiedenen Vertragspartner verteilt wird. Auf Basis dieser Grundlagen wird ein kriteriengestützter Analyserahmen entwickelt, der die Effizienz unterschiedlicher Risikoallokationen zwischen den Vertragspartner bewertet. Dabei werden einerseits die effizienzbeeinflussenden Eigenschaften der potentiellen Risikoträger eines PPP-Projektes berücksichtigt als auch die die effizienzbeeinflussenden Wirkungen der unterschiedlichen Vertragsmodelle. Aus den Erkenntnissen dieser Analyse werden letztlich Handlungs- und Gestaltungsempfehlungen zum Umgang mit dem Verkehrsmengenrisiko abgeleitet.

Die vorliegende Arbeit beschäftigt sich mit der vergleichenden Analyse unterschiedlicher Berechnungsansätze zum hydraulischen Grundbruch. Diese wurden zunächst analysiert, an Beispielberechnungen angewandt und schließlich miteinander verglichen. Weiterhin wurde der Einfluss verschiedener Randbedingungen, allem voran der Baugrubenbreite, auf die Sicherheit gegen einen hydraulischen Grundbruch untersucht. Es werden Empfehlungen zur Anwendbarkeit verschiedener Näherungsansätze bei Vorhandensein bestimmter Einflussfaktoren gegeben.

Fuzzy functions are suitable to deal with uncertainties and fuzziness in a closed form maintaining the informational content. This paper tries to understand, elaborate, and explain the problem of interpolating crisp and fuzzy data using continuous fuzzy valued functions. Two main issues are addressed here. The first covers how the fuzziness, induced by the reduction and deficit of information i.e. the discontinuity of the interpolated points, can be evaluated considering the used interpolation method and the density of the data. The second issue deals with the need to differentiate between impreciseness and hence fuzziness only in the interpolated quantity, impreciseness only in the location of the interpolated points and impreciseness in both the quantity and the location. In this paper, a brief background of the concept of fuzzy numbers and of fuzzy functions is presented. The numerical side of computing with fuzzy numbers is concisely demonstrated. The problem of fuzzy polynomial interpolation, the interpolation on meshes and mesh free fuzzy interpolation is investigated. The integration of the previously noted uncertainty into a coherent fuzzy valued function is discussed. Several sets of artificial and original measured data are used to examine the mentioned fuzzy interpolations.

One of the main focuses of recent Chinese urban development is the creation and retrofitting of public spaces driven by the market force and demand. However, researches concerning human and cultural influences on shaping public spaces have been scanty. There still exist many undefined ambiguous planning aspects institutionally and legislatively. This is an explanatory research to address interactions, incorporations and interrelationship between the lived environment and its peoples. It is knowledge-seeking and normative. Theoretically, public space in a Chinese context is conceptualized; empirically, a selected case is inquired. The research has unfolded a comparatively complete understanding of China’s planning evolution and on-going practices. Data collection emphasizes the concept of ‘people’ and ‘space’. First-hand data is derived from the intensive fieldwork and observatory and participatory documentations. The ample detailed authentic empirical data empowers space syntax as a strong analysis tool in decoding how human’s activities influence the public space. Findings fall into two categories but interdependent. Firstly, it discloses the studied settlement as a generic, organic and incremental development model. Its growth and established environment is evolutionary and incremental, based on its intrinsic traditions, life values and available resources. As a self-sustaining settlement, it highlights certain vernacular traits of spatial development out of lifestyles and cultural practices. Its spatial articulation appears as a process parallel to socio-economic transitions. Secondly, crucial planning aspects are theoretically summarized to address the existing gap between current planning methodology and practicalities. It pinpoints several most significant and particular issues, namely, disintegrated land use system and urban planning; missing of urban design in the planning system, loss of a human-responsive environment resulted from standardized planning and under-estimation of heritage in urban development. The research challenges present Chinese planning laws and regulations through urban public space study; and pinpoints to yield certain growth leverage for planning and development. Thus, planning is able to empower inhabitants to make decisions along the process of shaping and sustaining their space. Therefore, it discusses not only legislative issues, concerning land use planning, urban design and heritage conservation. It leads to a pivotal proposal, i.e., the integration of human and their social spaces in formulating a new spatial strategy. It expects to inform policymakers of underpinning social values and cultural practices in reconfiguring postmodern Chinese spatiality. It propounds that social context endemic to communities shall be integrated as a crucial tool in spatial strategy design, hence to strengthen spatial attributes and improve life quality.

In this paper we present rudiments of a higher dimensional analogue of the Szegö kernel method to compute 3D mappings from elementary domains onto the unit sphere. This is a formal construction which provides us with a good substitution of the classical conformal Riemann mapping. We give explicit numerical examples and discuss a comparison of the results with those obtained alternatively by the Bergman kernel method.