{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T14:59:45Z","timestamp":1782572385939,"version":"3.54.5"},"reference-count":38,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"H2020 European Union funding for Research &amp; Innovation","award":["856602"],"award-info":[{"award-number":["856602"]}]},{"name":"FINEST Twins Center of Excellence","award":["--"],"award-info":[{"award-number":["--"]}]}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["IJGI"],"abstract":"<jats:p>Agent-based modeling has the potential to deal with the ever-growing complexity of transport systems, including future disrupting mobility technologies and services, such as automated driving, Mobility as a Service, and micromobility. Although different software dedicated to the simulation of disaggregate travel demand have emerged, the amount of needed input data, in particular the characteristics of a synthetic population, is large and not commonly available, due to legit privacy concerns. In this paper, a methodology to spatially assign a synthetic population by exploiting only publicly available aggregate data is proposed, providing a systematic approach for an efficient treatment of the data needed for activity-based demand generation. The assignment of workplaces exploits aggregate statistics for economic activities and land use classifications to properly frame origins and destination dynamics. The methodology is validated in a case study for the city of Tallinn, Estonia, and the results show that, even with very limited data, the assignment produces reliable results up to a 500 \u00d7 500 m resolution, with an error at district level generally around 5%. Both the tools needed for spatial assignment and the resulting dataset are available as open source, so that they may be exploited by fellow researchers.<\/jats:p>","DOI":"10.3390\/ijgi11020148","type":"journal-article","created":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T08:18:05Z","timestamp":1645431485000},"page":"148","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Assignment of a Synthetic Population for Activity-Based Modeling Employing Publicly Available Data"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5888-4289","authenticated-orcid":false,"given":"Serio","family":"Agriesti","sequence":"first","affiliation":[{"name":"Department of Built Environment, Aalto University, Otakaari 4, 02150 Espoo, Finland"},{"name":"FinEst Centre for Smart Cities, Tallinn University of Technology, 19086 Tallinn, Estonia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9381-3021","authenticated-orcid":false,"given":"Claudio","family":"Roncoli","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, Otakaari 4, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bat-hen","family":"Nahmias-Biran","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Ariel University, Ramat HaGolan St 65, Ariel 40700, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,18]]},"reference":[{"key":"ref_1","unstructured":"Schrank, D., Eisele, B., and Lomax, T. 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