Kurauchi / Schmocker / Schmöcker Public Transport Planning with Smart Card Data

Erscheinungsjahr 2016
ISBN: 978-1-4987-2659-7
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 274 Seiten

For the first time smart materials have been categorized per taxonomical classifications, which are used in cybernetics systems. This approach enables smart materials (both developed and yet to be invented) to be systemized and to justify the three-stage process of the materials’ creation: detection of the material structure change during operation, selection of the mechanism for expedient correction of materials structure using the feedback channel, and realization of the selected correction mechanism on the base of the achievements in natural sciences.

A phenomenological model of smart materials is proposed. Based on this model, the initial structure change is corrected by the feedback mechanism, which initiates the secondary physical-chemical reactions resulting in changes in the internal energy of the material. Attention is paid to modeling expedient reactions of smart materials to external influence by methods of mechanics, as well as to forecast new heterogeneous structures with feedback. Major classes of smart materials and systems are reviewed which are currently used (or in development) in such areas as machines, semiconductor industry, medical devices, and others.

The book will be of interest for material scientists and engineers developing new materials. It can also be used as additional reading in materials science courses.

Autoren/Hrsg.

Kurauchi, Fumitaka

Schmocker, Jan-Dirk

Schmöcker, Jan-Dirk

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Regierungspolitik
• Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Stadtplanung, Kommunale Planung
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines

Inhaltsverzeichnis

An overview of new analysis options through smart card data. Estimating passenger behavior. Transit origin-destination matrix estimation. Destination and activity estimation. Route choice estimation. Combining smart card data with other databases. Combination with personal trip data. Linking smart card data with survey data. Combination with shopping data. Using smartcard data as simulation inputs. Smart card data for evaluation. Level of service indicators and city wide impacts. Evaluating equality and fairness. Ridership prediction, Dutch example. Road project assessments. Conclusions and further practical issues.