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1 Ergebnisse
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Assignment of a Synthetic Population for Activity-Based Mod..:
Agriesti, Serio
;
Roncoli, Claudio
;
Nahmias-Biran, Bat Hen
info:eu-repo/grantAgreement/EC/H2020/856602/EU//FINEST TWINS Funding Information: Funding: This research was funded by the FINEST Twins Center of Excellence, H2020 European Union funding for Research and Innovation grant number 856602. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.. , 2022
Link:
https://aaltodoc.aalto.fi/handle/123456789/113374
RT Journal T1
Assignment of a Synthetic Population for Activity-Based Modeling Employing Publicly Available Data
UL https://suche.suub.uni-bremen.de/peid=base-ftaaltouniv:oai:aaltodoc.aalto.fi:123456789_113374&Exemplar=1&LAN=DE A1 Agriesti, Serio A1 Roncoli, Claudio A1 Nahmias-Biran, Bat Hen PB MDPI AG YR 2022 K1 Activity-based demand generation K1 Spatial assignment K1 Synthetic population K1 Workplaces assignment JF info:eu-repo/grantAgreement/EC/H2020/856602/EU//FINEST TWINS Funding Information: Funding: This research was funded by the FINEST Twins Center of Excellence, H2020 European Union funding for Research and Innovation grant number 856602. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. LK http://dx.doi.org/https://aaltodoc.aalto.fi/handle/123456789/113374 DO https://aaltodoc.aalto.fi/handle/123456789/113374 SF ELIB - SuUB Bremen
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