Forecasting district-wide pedestrian volumes in multi-level networks in high-density mixed-use areas
Lade...
Dateien
[Submitted Conference Paper]
Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
06/2022
Typ der Arbeit
Studiengang
Sammlung
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
van Nees, Akkelies
de Koning, Remco Elric
Jacobsen Åsli, Thale
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
13th International Space Syntax Symposium
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Western Norway University of Applied Sciences (HVL)
Verlagsort / Veranstaltungsort
Bergen
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
This paper is concerned with improvements in the forecasting of pedestrian flows in multilevel pedestrian networks in high-density urban environments. 3D network topology measures are combined with land-use data, and validated against extensive pedestrian counts, to provide both evidence for the applicability of network analysis in tropical metropolises, as well as a calibrated tool for urban planners. The research focuses on four area in Singapore. These areas have in common that they all are prominent transport hubs, but differ in surrounding land-use types and dominant network topology (e.g. indoor, outdoor, above ground, below ground, at grade). Multi-level pedestrian networks were drawn based on OpenStreetMap, include sidewalks on both sides of major roads for a radius up to 2 kilometres from the site centroids. Spatial network analysis was performed using sDNA which allows vertical networks to generate measures describing the spatial configuration of the network. Subsequently, pedestrian counts were conducted during three consecutive days. In total, counts were conducted at more than 250 locations in 2018 and 2019, well before the global COVID19 pandemic. Pedestrian flows are set against a series of variables, including pedestrian attractors and generators (e.g. shops, offices, hotels, dwellings), and variables describing the spatial configuration of the network, using advanced regression models. Our results show that betweenness metrics (i.e. space syntax choice) combined with land-use yield high predictive power. Dependent on the study site, network metrics based on angular distance outperform those based on metric distance or perceived link distance. This research demonstrates that is necessary to account for the multi-level nature of networks, and that indoor flows through private developments cannot be neglected, in particular when planning for integrated transport developments. The paper concludes with recommendations and implications for practice.
Schlagwörter
Pedestrian volume, Accessibility, Pedestrian demand, Space Syntax, sDNA, Multi-level network
Fachgebiet (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
Veranstaltung
13th International Space Syntax Symposium
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
20.06.2022
Enddatum der Konferenz
24.06.2022
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Preprint
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
MAVROS, Panos, Michael VAN EGGERMOND, Alexander ERATH, Veera HELLE, Pablo ACEBILLO und Shuchen XU, 2022. Forecasting district-wide pedestrian volumes in multi-level networks in high-density mixed-use areas. In: Akkelies VAN NEES, Remco Elric DE KONING und Thale JACOBSEN ÅSLI (Hrsg.), 13th International Space Syntax Symposium. Bergen: Western Norway University of Applied Sciences (HVL). Juni 2022. Verfügbar unter: https://doi.org/10.26041/fhnw-4153