| 1. |
- Stavroulaki, Ioanna, 1976, et al.
(författare)
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PST (Place Syntax Tool) Documentation v3.2.4-3.2.5_20230110
- 2023
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- PST is an open source tool for performing spatial analyses. It combines the space syntax description of the urban environment with conventional descriptions of attraction into a combined accessibility analysis tool. It is currently available as a plugin for QGIS, an open source GIS software. Earlier PST versions are also available as a plugin for the MapInfo Professional GIS software. PST is developed by KTH School of Architecture, Chalmers School of Architecture (SMoG) and Spacescape AB. Alexander Ståhle, Lars Marcus, Daniel Koch, Martin Fitger, Ann Legeby, Gianna Stavroulaki, Meta Berghauser Pont, Anders Karlström, Pablo Miranda Carranza, Tobias Nordström. The software was first introduced in a paper by Ståhle, A., Marcus, L. and Karlström, A., (2005), ”Place Syntax: Geographic accessibility with axial lines in GIS”, published in the proceedings of the 5th Space Syntax Symposium held in Delft, the Netherlands. PST is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. The GNU General Public License is intended to guarantee your freedom to share and change all versions of a program--to make sure it remains free software for all its users. The application is available via: https://github.com/SMoG-Chalmers/PST/releases/tag/v3.2.4 Download: pstqgis_3.2.4_2023-01-10.zip The code is released under GNU GENERAL PUBLIC LICENSE and is available at https://github.com/SMoG-Chalmers/PST
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| 2. |
- Lopes, Flávia, 1989, et al.
(författare)
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Simplified geodata models for integrated urban and public transport planning
- 2023
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Ingår i: Proceedings of the 26th AGILE Conference on Geographic Information Science. ; 4:32
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Konferensbidrag (refereegranskat)abstract
- The current division between urban and transport planning is a significant obstacle to achieving sustainable urban development. To transform cities towards sustainability, both fields must adopt shared or at least compatible models of the urban systems, namely transport, street and public space networks for all users and urban activities. Although several models and tools have emerged in recent years to facilitate this integration, there are still usability gaps that hinder their wider adoption. One of the gaps is a lack of flexibility to operate at different stages of integrated planning. To address this gap, the study aims to develop a set of aligned and flexible multimodal urban network models and tools to support different stages of planning. This paper focuses on the public transport geodata models, which were built by aggregating a General Transit Feed Specification (GTFS) dataset at various spatial and temporal levels. The aggregation levels range from a baseline data model that is useful for detailed planning stages, up to a topological data model that is suitable for macro scale and strategic planning. By using this unified set of models, the dialogue between the two fields at different integrated planning phases can be facilitated, and decision-making can be enhanced.
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