We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.

Cities are increasingly promoting walkability to tackle climate change, improve urban quality of life, and address socioeconomic inequities that auto-oriented development tends to exacerbate, prompting a need for predictive pedestrian flow models. This paper implements a novel network-based pedestri...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Andres Sevtsuk, Rounaq Basu, Bahij Chancey
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/461e664e461a4c139f3b7da817e88e12
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:461e664e461a4c139f3b7da817e88e12
record_format	dspace
spelling	oai:doaj.org-article:461e664e461a4c139f3b7da817e88e122021-12-02T20:14:18ZWe shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.1932-620310.1371/journal.pone.0257534https://doaj.org/article/461e664e461a4c139f3b7da817e88e122021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257534https://doaj.org/toc/1932-6203Cities are increasingly promoting walkability to tackle climate change, improve urban quality of life, and address socioeconomic inequities that auto-oriented development tends to exacerbate, prompting a need for predictive pedestrian flow models. This paper implements a novel network-based pedestrian flow model at a property-level resolution in the City of Melbourne. Data on Melbourne's urban form, land-uses, amenities, and pedestrian walkways as well as weather conditions are used to predict pedestrian flows between different land-use pairs, which are subsequently calibrated against hourly observed pedestrian counts from automated sensors. Calibration allows the model extrapolate pedestrian flows on all streets throughout the city center based on reliable baseline observations, and to forecast how new development projects will change existing pedestrian flows. Longitudinal data availability also allows us to validate how accurate such predictions are by comparing model results to actual pedestrian counts observed in following years. Updating the built-environment data annually, we (1) test the accuracy of different calibration techniques for predicting foot-traffic on the city's streets in subsequent years; (2) assess how changes in the built environment affect changes in foot-traffic; (3) analyze which pedestrian origin-destination flows explain observed foot-traffic during three peak weekday periods; and (4) assess the stability of model predictions over time. We find that annual changes in the built environment have a significant and measurable impact on the spatial distribution of Melbourne's pedestrian flows. We hope this novel framework can be used by planners to implement "pedestrian impact assessments" for newly planned developments, which can complement traditional vehicular "traffic impact assessments".Andres SevtsukRounaq BasuBahij ChanceyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257534 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andres Sevtsuk Rounaq Basu Bahij Chancey We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.
description	Cities are increasingly promoting walkability to tackle climate change, improve urban quality of life, and address socioeconomic inequities that auto-oriented development tends to exacerbate, prompting a need for predictive pedestrian flow models. This paper implements a novel network-based pedestrian flow model at a property-level resolution in the City of Melbourne. Data on Melbourne's urban form, land-uses, amenities, and pedestrian walkways as well as weather conditions are used to predict pedestrian flows between different land-use pairs, which are subsequently calibrated against hourly observed pedestrian counts from automated sensors. Calibration allows the model extrapolate pedestrian flows on all streets throughout the city center based on reliable baseline observations, and to forecast how new development projects will change existing pedestrian flows. Longitudinal data availability also allows us to validate how accurate such predictions are by comparing model results to actual pedestrian counts observed in following years. Updating the built-environment data annually, we (1) test the accuracy of different calibration techniques for predicting foot-traffic on the city's streets in subsequent years; (2) assess how changes in the built environment affect changes in foot-traffic; (3) analyze which pedestrian origin-destination flows explain observed foot-traffic during three peak weekday periods; and (4) assess the stability of model predictions over time. We find that annual changes in the built environment have a significant and measurable impact on the spatial distribution of Melbourne's pedestrian flows. We hope this novel framework can be used by planners to implement "pedestrian impact assessments" for newly planned developments, which can complement traditional vehicular "traffic impact assessments".
format	article
author	Andres Sevtsuk Rounaq Basu Bahij Chancey
author_facet	Andres Sevtsuk Rounaq Basu Bahij Chancey
author_sort	Andres Sevtsuk
title	We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.
title_short	We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.
title_full	We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.
title_fullStr	We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.
title_full_unstemmed	We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.
title_sort	we shape our buildings, but do they then shape us? a longitudinal analysis of pedestrian flows and development activity in melbourne.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/461e664e461a4c139f3b7da817e88e12
work_keys_str_mv	AT andressevtsuk weshapeourbuildingsbutdotheythenshapeusalongitudinalanalysisofpedestrianflowsanddevelopmentactivityinmelbourne AT rounaqbasu weshapeourbuildingsbutdotheythenshapeusalongitudinalanalysisofpedestrianflowsanddevelopmentactivityinmelbourne AT bahijchancey weshapeourbuildingsbutdotheythenshapeusalongitudinalanalysisofpedestrianflowsanddevelopmentactivityinmelbourne
_version_	1718374640638754816

We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne.

Ejemplares similares