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, J., PÁSZTO, V., ŠIMÁČEK, P. (2018): Spatial and Temporal Comparison of Safety Perception in Urban Spaces. Case Study of Olomouc, Opava and Jihlava. In: Ivan I., et al. [eds.]: Dynamics in GIScience (pp. 333–346). Cham, Springer. PERKINS, C. (2009): Performative and Embodied Mapping. In: Kitchin, R., Thrift, N. [eds.]: International Encyclopedia of Human Geography (pp. 126–132). Oxford, Elsevier. PÖDÖR, A., RÉVÉSZ, A., RÁCSKAI, P., SASVÁR, Z. (2016): Measuring citizens’ fear of crime using a web application: A case study. GI_Forum, 2: 12–29. PRED, A. (1984): Place

–401. MILLER, H. J., BRIDWELL, S. (2009): A field-based theory for time geography. Annals of the Association of American Geographers, 99(1): 149–175. MILLER, H. J., WU, Y.-H. (2000): GIS software for measuring space-time accessibility in transportation planning and analysis. GeoInformatica, 4(2): 141–159. MOUNTAIN, D., RAPER, J. (2001): Modelling human spatio-temporal behaviour: a challenge for location-based services. Paper presented at the 6 th International Conference on GeoComputation. University of Queensland, Brisbane. 24.–26.09.2001. [online]. [cit. 15

. and Janssens-Maenhout, G. (2019), ‘High resolution temporal profiles in the Emissions Database for Global Atmospheric Research (EDGAR)’. Nature Scientific Data, manuscript submitted. Degórska, A., Ilyin, I., Travnikov, O. and Rozovskaya, O. (2017), ‘Country-specific study of cadmium pollution in Poland: data collection, pilot results and future work’. 18 th TFMM, Prague, May 2017. Available at: . Denier van der Gon, H., Hendriks, C., Kuenen, J., Segers, A. and Visschedijk, A. (2011), ‘Description of current


Background and purpose: Induced travel demand (ITD) is a phenomenon where road construction increases vehicles’ kilometers traveled. It has been approached with econometric models that use elasticities as measure to estimate how much travel demand can be induced by new roads. However, there is a lack of “white-box” models with causal hypotheses that explain the structural complexity underlying this phenomenon. We propose a system dynamics model based on a feedback mechanism to explain structurally ITD.

Methodology: A system dynamics methodology was selected to model and simulate ITD. First, a causal loop diagram is proposed to describe the ITD structure in terms of feedback loops. Then a stock-flows diagram is formulated to allow computer simulation. Finally, simulations are run to show the quantitative temporal evolution of the model built.

Results: The simulation results show how new roads in the short term induce more kilometers traveled by vehicles already in use; meanwhile, in the medium-term, new traffic is generated. These new car drivers appear when better flow conditions coming from new roads increase attractiveness of car use. More cars added to vehicles already in use produce new traffic congestion, and high travel speeds provided by roads built are absorbed by ITD effects.

Conclusion: We concluded that approaching ITD with a systemic perspective allows for identifying leverage points that contribute to design comprehensive policies aimed to cope with ITD. In this sense, the model supports decision- making processes in urban contexts wherein it is still necessary for road construction to guarantee connectivity, such as the case of developing countries.

., Gatzsche, D. & Brandenburg, K. (20007). A symmetry based approach for musical tonality analysis, 8th International Conference on Music Information Retrieval, ISMIR2007 , Vienna, 2007, 207-210. Huron, D. (20008). Asynchronous preparation of tonally fused intervals in polyphonic music. Empirical Musicology Review , 3(1): 11-21. Meyer, L. B. (1956). Emotion and Meaning in Music . University of Chicago Press. Parncutt, R. (1989). Harmony: A Psychoacoustical Approach , chapter 2. Springer-Verlag. Tramo, M. J., Cariani, P. A. & Delgutte, B. (20001). Temporal coding of

Seelsorge. Grundlagen der Logotherapie und Existenzanalyse, Franz Deuticke, Wien. 7. Mróz, B. (1998), Sukces w zarządzaniu a poziom poczucia sensu życia u menedżerów, Prace Psychologiczne Wrocław: Wydawnictwo Uniwersytetu Wrocławskiego, XLVII. Wrocław. 8. Mróz, B. (2002), Motywacja u menedżerów a satysfakcja z pracy. W: M. Straś-Romanowska (red.). Szkice psychologiczne: doniesienia z badań, aplikacje, refl eksje. Wrocław Acta Universitatis Wratislaviensis. Prace Psychologiczne, 55, 65-74. 9. Nosal, Cz. S. (2006), Time and Age: Mental Representations of Time and Temporal

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), Beyond big and little: The four C model of creativity , “Review of General Psychology”, 13: 1-12. 15. Kazanjian R.K., & Drazin R. (2012), Organizational learning, knowledge management and creativity , in M.D. Mumford (Ed.) Handbook of Organizational Creativity , 547-568. Academic Press/Elsevier, London/Waltham/San Diego. 16. Kozlowski S.W.J., & Klein K.J. (2000), A multilevel approach to theory and research in organizations: Contextual, temporal, and emergent processes , in K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research and methods in

and exploitation in organizational learning. Organization Science, 2(1), 71-87, Nerkar, A. (2003). Old is gold? The value of temporal exploration in the creation of new knowledge. Management Science, 49(2), 211-229, O’Reilly, C. A., & Tushman, M. L. (2013). Organizational ambidexterity: Past, present, and future. The Academy of Management Perspectives, 27(4), 324-338, O’Reilly, C. A., & Tushman, M. L. (2004). The ambidextrous organization

entrepreneurs: Serial entrepreneurship as a temporal portfolio. Small Business economics, 40(2), 417-434, Scarpetta, S., Hemmings, P., Tressel, T., & Woo, J. (2002). The Role of Policy and Institutions for Productivity and Firm Dynamics: Evidence From Micro and Industry Data, OECD Economics Department Working Papers, No. 329, OECD Publishing, Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A