PlaceAgents: Multi-Stop Pedestrian Itineraries as Platial Flows on Urban Networks
The 6th Spatial Data Science Symposium (SDSS 2025)
Abstract
This article presents PlaceAgents, a framework for modelling multi-stop pedestrian itineraries on city networks using open and reproducible data. The approach uses the itinerary as the base behavioural unit and links three core principles: (1) access to open data sources, (2) enabling explicit assumptions about agents, and (3) the auditability of outputs.
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Williams, J. (2025). PlaceAgents: Multi-Stop Pedestrian Itineraries as Platial Flows on Urban Networks. The 6th Spatial Data Science Symposium (SDSS 2025). https://doi.org/10.5281/zenodo.17676286
@inproceedings{Williams2025PlaceAgents,
author = {Williams, James},
title = {PlaceAgents: Multi-Stop Pedestrian Itineraries as Platial Flows on Urban Networks},
booktitle = {The 6th Spatial Data Science Symposium (SDSS 2025)},
year = {2025},
address = {Online},
doi = {10.5281/zenodo.17676286},
url = {/assets/papers/Williams2025PlaceAgents.pdf},
abstract = {This article presents PlaceAgents, a framework for modelling multi-stop pedestrian itineraries on city networks using open and reproducible data. The approach uses the itinerary as the base behavioural unit and links three core principles: (1) access to open data sources, (2) enabling explicit assumptions about agents, and (3) the auditability of outputs.},
keywords = {Pedestrian Modelling; Agent-Based Modelling; Urban Networks; Platial Information; Spatial Data Science}
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