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Publications (3 of 3) Show all publications
Zomer, L.-B., Moustaid, E. & Meijer, S. (2015). A META-MODEL FOR INCLUDING SOCIAL BEHAVIOR AND DATA INTO SMART CITY MANAGEMENT SIMULATIONS. In: 2015 WINTER SIMULATION CONFERENCE (WSC): . Paper presented at Winter Simulation Conference (WSC), DEC 06-09, 2015, Huntington Beach, CA (pp. 1705-1716). IEEE
Open this publication in new window or tab >>A META-MODEL FOR INCLUDING SOCIAL BEHAVIOR AND DATA INTO SMART CITY MANAGEMENT SIMULATIONS
2015 (English)In: 2015 WINTER SIMULATION CONFERENCE (WSC), IEEE , 2015, p. 1705-1716Conference paper, Published paper (Refereed)
Abstract [en]

Smart city management can be regarded to bridge different realms of thinking about cities, i.e. 1) the city as complex-adaptive system, 2) socio-technical operational control center and 3) multi-actor policy-making. Underpinned by different world views and theoretical bodies, integration of the three realms puts forward new demands on simulation approaches and challenges current knowledge and available technology regarding integration of sub-models across different systems. In order to support urban transportation management, a holistic approach is needed that semantically connects the three realms by incorporation of human behavior and knowledge. Combining research on knowledge management and computer science, this paper presents a novel meta-framework as socio-technical hybrid simulation language to generalize integration of simulations, gaming and data for modeling urban transportation.

Place, publisher, year, edition, pages
IEEE, 2015
Series
Winter Simulation Conference Proceedings, ISSN 0891-7736
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:kth:diva-243728 (URN)000399133901055 ()978-1-4673-9743-8 (ISBN)
Conference
Winter Simulation Conference (WSC), DEC 06-09, 2015, Huntington Beach, CA
Note

QC 20190226

Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2019-02-26Bibliographically approved
Zomer, L.-B., Moustaid, E. & Meijer, S. (2015). A Meta-Model for Including Social Behavior and Data into Simulation in the Smart City Context. In: L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti (Ed.), Proceedings of the 2015 Winter Simulation Conference: . Paper presented at Winter Simulation Conference 2015, Huntington Beach, CA, USA, December 6-9, 2015.
Open this publication in new window or tab >>A Meta-Model for Including Social Behavior and Data into Simulation in the Smart City Context
2015 (English)In: Proceedings of the 2015 Winter Simulation Conference / [ed] L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti, 2015Conference paper, Published paper (Refereed)
Abstract [en]

mart city management can be regarded to bridge different realms of thinking about cities, i.e., 1) the city as complex-adaptive system, 2) socio-technical operational control center and 3) multi-actor policy-making. Underpinned by different world views and theoretical bodies, integration of the three realms puts forward new demands on simulation approaches and challenges current knowledge and available technology regarding integration of sub-models across different systems. In order to support urban transportation management, a holistic approach is needed that semantically connects the three realms by incorporation of human behavior and knowledge. Combining research on knowledge management and computer science, this paper presents a novel meta-framework as socio-technical hybrid simulation language to generalize integration of simulations, gaming and data for modeling urban transportation.

National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-181694 (URN)
Conference
Winter Simulation Conference 2015, Huntington Beach, CA, USA, December 6-9, 2015
Note

Qc 20160212

Available from: 2016-02-02 Created: 2016-02-02 Last updated: 2016-02-12Bibliographically approved
Zomer, L.-B., Daamen, W., Meijer, S. & Hoogendoorn, S. (2015). Managing Crowds: The Possibilities and Limitations of Crowd Information During Urban Mass Events. In: Stan Geertman,Joseph Ferreira, Jr.,Robert Goodspeed,John Stillwell (Ed.), : . Paper presented at Computers in Urban Planning and Urban Management Conference, CUPUM 2015; Boston; United States; 7 July 2015 - 10 July 2015 (pp. 77-97). Springer Publishing Company
Open this publication in new window or tab >>Managing Crowds: The Possibilities and Limitations of Crowd Information During Urban Mass Events
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Thischapter,basedonamixedmethodresearchapproach,offersinsights into possibilities and limitations of using ICT measures for crowd management and distribution during urban mass events (UMEs). Based on literature, practical applications and analyses of research results, we propose crowd management should consider characteristics of both crowds and UMEs to increase information effectiveness. In relation to urban planning, results show that possibilities to influence a crowd’s behavior depend on available (and known) choice sets offered in various locations, while distances towards locations across city centers appear less important. Limitations appear to be related to scarce knowledge on what drives crowd members to adapt or adhere to their activity choice behavior. Such insights are essential for smart cities striving for an optimal use of infrastructural capacity, as both the ambiguous effects of ICT measures, as well as a crowd’s self-organizing capacity should be taken into account for delaying, solving and preventing dis- ruptions of pedestrian flows in city centers. 

Place, publisher, year, edition, pages
Springer Publishing Company, 2015
Series
Lecture Notes in Geoinformation and Cartography, ISSN 1863-2246
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-181692 (URN)10.1007/978-3-319-18368-8_5 (DOI)000380473900005 ()2-s2.0-84937509542 (Scopus ID)978-3-319-18367-1 (ISBN)
Conference
Computers in Urban Planning and Urban Management Conference, CUPUM 2015; Boston; United States; 7 July 2015 - 10 July 2015
Note

QC 20160210

Available from: 2016-02-02 Created: 2016-02-02 Last updated: 2016-08-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4126-5174

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