cam a22 4500 357944062 CHVBK 20201202100818.0 160309s2015 sz a m 00 0deng d urn:nbn:ch:bel-1650456 urn (SNL)991004608239703976 (SNL)991018079183003976 (NEBIS)010594497 (Sz)1806464-41snl_51 (Sz)vtls001806464 (Sz)001806464 (Sz)991018079183003976 Sz Sz eng eng ger 690 23sdnb 300 330 23sdnb Jäggi Boris Kasimir 1983- (DE-588)1084009080 Decision modelling on household level for energy, fleet choice and expenditure by Boris Kasimir Jäggi [S.l.] [s.n.] 2015 XVIII, 220 S. Ill. 21 cm Diss. Nr. 22880 ETH Zürich Literaturverz. application/pdf This thesis analyses decision modelling and behaviour on a household level regarding energy consumption in housing and transportation, fleet choice in the case of high fuel prices and household expenditures. For this research three different data sets were used: A) A data set about total energy consumption from a survey including Stated Preference experiments about long term investment decisions in energy saving technology and a Priority Evaluator experiment about total energy consumption ,conducted among home-owners in the canton of Zurich. B) A data set about fleet choice from a survey including Stated Preference experiments for high fuel prices, conducted among car owners in Switzerland. C) The Swiss National Income and Expenditure Survey reporting all incomes and expenditures for a representative sample of Swiss households for the duration of one month. This data set covers the years between 2001 and 2008. The methodologies used were, next to standard descriptive statistics, Multinomial Logit Models (MNL) to model long term investment decisions, Multiple Discrete-Continuous Extreme Value model (MDCEV) to model total energy consumption and fleet choice and linear last square regressions to model household expenditure categories. In addition to the modelling, the results from the MDCEV models were analysed regarding residuals and accuracy of model implementation. Results of the analyses showed that total energy consumption was very difficult to model and produced unreliable results. Long term investments in energy saving technology as well as the change to cleaner, less fuel consuming cars, are preferred over a change in energy consuming behaviour when fuel prices are substantially higher. Linear regression models showed that household budget expenditures are very individual and reveal very few interdependencies. The categories which are most predictable are savings and food while the least predictable are public transportation and housing rent and mortgage interest payments. Engl. Text mit engl. und deutscher Zusfassung ENERGIEBEDARF + ENERGIENACHFRAGE ger (ETHUDK)000027792 ethudk ENTSCHEIDUNGSMODELLE + SPIELTHEORETISCHE MODELLE + THEORETISCHE SIMULATION (SOZIALWISSENSCHAFTEN) ger (ETHUDK)000010064 ethudk HAUSHALTBUDGET + HAUSHALTSAUSGABEN (HAUSWIRTSCHAFT) ger (ETHUDK)000032139 ethudk NACHFRAGEFORSCHUNG + KONSUMFORSCHUNG ger (ETHUDK)000010847 ethudk SCHWEIZ (MITTELEUROPA). SCHWEIZERISCHE EIDGENOSSENSCHAF) ger (ETHUDK)000004571 ethudk VERARBEITUNG UND AUSWERTUNG STATISTISCHER DATEN (MATHEMATISCHE STATISTIK) ger (ETHUDK)000013630 ethudk VERKEHRSMITTELWAHL (WIRTSCHAFTSWISSENSCHAFTEN) ger (ETHUDK)000060345 ethudk "2001/2008" ethudk Hochschulschrift (DE-588)4113937-9 gnd-content Hochschulschrift gnd-content sb 2016/06 690 zh snl-sb xehelv xediss 2020 300 330 snl ehelv u ENTSCHEIDUNGSMODELLE + SPIELTHEORETISCHE MODELLE + THEORETISCHE SIMULATION (SOZIALWISSENSCHAFTEN) ger 303.725.23 nebis E1 u ENERGIEBEDARF + ENERGIENACHFRAGE ger 620.9*6*1 nebis E1 u VERKEHRSMITTELWAHL (WIRTSCHAFTSWISSENSCHAFTEN) ger 330,09.065.2 nebis E1 u HAUSHALTBUDGET + HAUSHALTSAUSGABEN (HAUSWIRTSCHAFT) ger 64.03 nebis E1 u NACHFRAGEFORSCHUNG + KONSUMFORSCHUNG ger 339,046.1 nebis E1 u VERARBEITUNG UND AUSWERTUNG STATISTISCHER DATEN (MATHEMATISCHE STATISTIK) ger 519.25 nebis E1 u SCHWEIZ (MITTELEUROPA). SCHWEIZERISCHE EIDGENOSSENSCHAFT ger (494) nebis E1 u "2001/2008" nebis E1 u MODÈLES DE DÉCISION + MODÈLES THÉORIQUES DE JEU + SIMULATION THÉORIQUE (SCIENCES SOCIALES) fre 303.725.23 nebis E1 u DECISION MODEL + GAMING-THEORY MODEL + THEORETICAL SIMULATION (SOCIAL SCIENCES) eng 303.725.23 nebis E1 u ENERGY REQUIREMENT eng 620.9*6*1 nebis E1 u BESOINS EN ÉNERGIE fre 620.9*6*1 nebis E1 u CHOIX DES MOYENS DE TRANSPORT (SCIENCES ÉCONOMIQUES) fre 330,09.065.2 nebis E1 u CHOICE OF MEANS OF TRANSPORTATION (ECONOMICS) eng 330,09.065.2 nebis E1 u HOUSEHOLD BUDGET + HOUSEHOLD EXPENSES (HOME ECONOMICS) eng 64.03 nebis E1 u BUDGET DE MÉNAGE + DÉPENSES DE MÉNAGE (ÉCONOMIE DOMESTIQUE) fre 64.03 nebis E1 u RESEARCH INTO DEMAND + RESEARCH INTO CONSUMPTION eng 339,046.1 nebis E1 u RECHERCHES SUR LA DEMANDE + RECHERCHES SUR LA CONSOMMATION fre 339,046.1 nebis E1 u STATISTICAL DATA HANDLING (MATHEMATICAL STATISTICS) eng 519.25 nebis E1 u TRAITEMENT DE DONNÉES STATISTIQUES (STATISTIQUE MATHÉMATIQUE) fre 519.25 nebis E1 u SUISSE (EUROPE CENTRALE). CONFÉDÉRATION SUISSE fre (494) nebis E1 u SWITZERLAND (CENTRAL EUROPE). SWISS CONFEDERATION eng (494) nebis E1 SNL NB001 NB999 - chb99 - https://opac.admin.ch/toc/toc001806464.pdf Inhaltsverzeichnis BK020300 XK020000 XK020000 ETH-Diss-2016 nebis ER 082 E01-20160404 171 E01-20160404 SNL NB001 NB001 Nb 187812 NB10010 NEBIS E03 E03 E03VS kwa NEBIS E16 E16 RH Diss ETH 22880 SNL 100 1- Jäggi Boris Kasimir 1983- (DE-588)1084009080 SNL 856 41 https://opac.admin.ch/toc/toc001806464.pdf Inhaltsverzeichnis SNL 100 1- Jäggi Boris Verfasser aut SNL 710 2- Eidgenössische Technische Hochschule Zürich (DE-588)2023928-2 Grad-verleihende Institution dgg SNL 856 40 http://hdl.handle.net/20.500.11850/106737 SNL 856 4- https://nbn-resolving.org/urn:nbn:ch:bel-1650456 SNL 856 42 http://www.e-helvetica.nb.admin.ch/directAccess?callnumber=bel-1650456 NEBIS 100 1- Jäggi Boris Kasimir 1983- (DE-588)1084009080 Verfasser aut NEBIS 700 1- Axhausen Kay W. 1958- (DE-588)112305938 Akademischer Betreuer dgs NEBIS 700 1- Jara Díaz Sergio R. (DE-588)170117251 Akademischer Betreuer dgs