Non-motorised transport prioritisation model using spatial intelligence

The aim of the work reported in this paper was to develop a non-motorised transport (NMT, covering walking and cycling) prioritisation model using a geographic information system that can be used for planning as well as auditing existing NMT infrastructure. ArcGIS 10.1 ModelBuilder software was used...

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Main Authors: Poyil, Rohith P., Lopez, Maria Cecilia Rojas, Wong, Yiik Diew
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/145001
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1450012020-12-08T05:33:32Z Non-motorised transport prioritisation model using spatial intelligence Poyil, Rohith P. Lopez, Maria Cecilia Rojas Wong, Yiik Diew School of Civil and Environmental Engineering Centre for Infrastructure Systems Engineering::Civil engineering Infrastructure Planning Sustainability The aim of the work reported in this paper was to develop a non-motorised transport (NMT, covering walking and cycling) prioritisation model using a geographic information system that can be used for planning as well as auditing existing NMT infrastructure. ArcGIS 10.1 ModelBuilder software was used to design NMT prioritisation using the cases of Sembawang and Yishun residential townships in Singapore. The concept of spatial intelligence was used to predict the NMT prioritisation scheme; spatial intelligence is the ability to visualise spatial features and apply spatial judgement for mobility problems involving navigation or to identify fine details or patterns. The NMT prioritisation model was developed based on NMT movements in relation to spatial features such as residential buildings, community centres, schools and hospitals, recreation and sports centres, economic zones, transport hubs, bus stops and green spaces. The designed NMT prioritisation map is the weighted sum of Euclidean distance rasters of eight spatial layers. The results were subsequently used to assess the existing NMT facilities in the Sembawang and Yishun townships. Ministry of Education (MOE) Accepted version This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 2 (MOE2014-T2-2- 097) and the Mitsui Sumitomo Insurance Welfare Foundation Research Grant 2016 (M4062080·790·706022). 2020-12-08T05:31:12Z 2020-12-08T05:31:12Z 2019 Journal Article Poyil, R. P., Lopez, M. C. R., & Wong, Y. D. (2019). Non-motorised transport prioritisation model using spatial intelligence. Proceedings of the Institution of Civil Engineers - Transport, 172(2), 111-121. doi:10.1680/jtran.17.00144 0965-092X https://hdl.handle.net/10356/145001 10.1680/jtran.17.00144 2 172 111 121 en Proceedings of the Institution of Civil Engineers - Transport © 2019 ICE Publishing. All rights reserved. This paper was published in Proceedings of the Institution of Civil Engineers - Transport and is made available with permission of Proceedings of the Institution of Civil Engineers - Transport. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Infrastructure Planning
Sustainability
spellingShingle Engineering::Civil engineering
Infrastructure Planning
Sustainability
Poyil, Rohith P.
Lopez, Maria Cecilia Rojas
Wong, Yiik Diew
Non-motorised transport prioritisation model using spatial intelligence
description The aim of the work reported in this paper was to develop a non-motorised transport (NMT, covering walking and cycling) prioritisation model using a geographic information system that can be used for planning as well as auditing existing NMT infrastructure. ArcGIS 10.1 ModelBuilder software was used to design NMT prioritisation using the cases of Sembawang and Yishun residential townships in Singapore. The concept of spatial intelligence was used to predict the NMT prioritisation scheme; spatial intelligence is the ability to visualise spatial features and apply spatial judgement for mobility problems involving navigation or to identify fine details or patterns. The NMT prioritisation model was developed based on NMT movements in relation to spatial features such as residential buildings, community centres, schools and hospitals, recreation and sports centres, economic zones, transport hubs, bus stops and green spaces. The designed NMT prioritisation map is the weighted sum of Euclidean distance rasters of eight spatial layers. The results were subsequently used to assess the existing NMT facilities in the Sembawang and Yishun townships.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Poyil, Rohith P.
Lopez, Maria Cecilia Rojas
Wong, Yiik Diew
format Article
author Poyil, Rohith P.
Lopez, Maria Cecilia Rojas
Wong, Yiik Diew
author_sort Poyil, Rohith P.
title Non-motorised transport prioritisation model using spatial intelligence
title_short Non-motorised transport prioritisation model using spatial intelligence
title_full Non-motorised transport prioritisation model using spatial intelligence
title_fullStr Non-motorised transport prioritisation model using spatial intelligence
title_full_unstemmed Non-motorised transport prioritisation model using spatial intelligence
title_sort non-motorised transport prioritisation model using spatial intelligence
publishDate 2020
url https://hdl.handle.net/10356/145001
_version_ 1688665627465613312