Investigating the interactions between travellers' familiar areas and their multi-day activity locations
A mental map is considered a representation of an individual's spatial cognition. It defines an individual's choice set of plausible activity locations and influences his/her daily activity-travel patterns. Despite its importance, how individuals' activity travel patterns interact with...
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Format: | Article |
Language: | English |
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Elsevier Ltd
2016
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Online Access: | http://eprints.uthm.edu.my/4913/1/AJ%202017%20%28235%29%20Investigating%20the%20interactions%20between%20travellers%27%20familiar%20areas.pdf |
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author | Zhang, Wen Susilo, Yusak O. Ahmad Termida, Nursitihazlin |
author_facet | Zhang, Wen Susilo, Yusak O. Ahmad Termida, Nursitihazlin |
author_sort | Zhang, Wen |
collection | UTHM |
description | A mental map is considered a representation of an individual's spatial cognition. It defines an individual's choice set of plausible activity locations and influences his/her daily activity-travel patterns. Despite its importance, how individuals' activity travel patterns interact with their mental maps on a daily basis is largely unknown, mainly due to data, operation, and measurement issues. The aim of this study is to address this. A total of 57 individuals in Stockholm were asked to record a two-week travel diary and draw their familiar areas in the specified maps. The familiar areas, which in this study are considered as representative of individual mental maps, were manually drawn and transferred from graph to ASCII code in ArcGIS for modelling purposes. The recently visited activity locations were used to construct the individuals' activity spaces. The crucial determinants that related to these activity spaces and familiar areas were investigated. The marginal effect of each key variable was calculated in order to understand the magnitude of influence of each variable to the individuals' activity spaces and familiar areas. The results show that an individual's activity space is partially or completely located within the individual's familiar areas and they are strongly correlated to each other. Large activity centres, such as Stockholm's central areas and areas of Huvudsta have higher probabilities to be included in both individuals' familiar areas and activ-ity spaces than other areas that are closer to home. |
first_indexed | 2024-03-05T21:49:53Z |
format | Article |
id | uthm.eprints-4913 |
institution | Universiti Tun Hussein Onn Malaysia |
language | English |
last_indexed | 2024-03-05T21:49:53Z |
publishDate | 2016 |
publisher | Elsevier Ltd |
record_format | dspace |
spelling | uthm.eprints-49132021-12-23T08:17:37Z http://eprints.uthm.edu.my/4913/ Investigating the interactions between travellers' familiar areas and their multi-day activity locations Zhang, Wen Susilo, Yusak O. Ahmad Termida, Nursitihazlin G70 - 70.6 Philosophy. Relation to other topics. Methodology A mental map is considered a representation of an individual's spatial cognition. It defines an individual's choice set of plausible activity locations and influences his/her daily activity-travel patterns. Despite its importance, how individuals' activity travel patterns interact with their mental maps on a daily basis is largely unknown, mainly due to data, operation, and measurement issues. The aim of this study is to address this. A total of 57 individuals in Stockholm were asked to record a two-week travel diary and draw their familiar areas in the specified maps. The familiar areas, which in this study are considered as representative of individual mental maps, were manually drawn and transferred from graph to ASCII code in ArcGIS for modelling purposes. The recently visited activity locations were used to construct the individuals' activity spaces. The crucial determinants that related to these activity spaces and familiar areas were investigated. The marginal effect of each key variable was calculated in order to understand the magnitude of influence of each variable to the individuals' activity spaces and familiar areas. The results show that an individual's activity space is partially or completely located within the individual's familiar areas and they are strongly correlated to each other. Large activity centres, such as Stockholm's central areas and areas of Huvudsta have higher probabilities to be included in both individuals' familiar areas and activ-ity spaces than other areas that are closer to home. Elsevier Ltd 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4913/1/AJ%202017%20%28235%29%20Investigating%20the%20interactions%20between%20travellers%27%20familiar%20areas.pdf Zhang, Wen and Susilo, Yusak O. and Ahmad Termida, Nursitihazlin (2016) Investigating the interactions between travellers' familiar areas and their multi-day activity locations. Journal of Transport Geography, 53. pp. 61-73. ISSN 0966-6923 http://dx.doi.org/10.1016/j.jtrangeo.2016.04.012 |
spellingShingle | G70 - 70.6 Philosophy. Relation to other topics. Methodology Zhang, Wen Susilo, Yusak O. Ahmad Termida, Nursitihazlin Investigating the interactions between travellers' familiar areas and their multi-day activity locations |
title | Investigating the interactions between travellers' familiar areas and their multi-day activity locations |
title_full | Investigating the interactions between travellers' familiar areas and their multi-day activity locations |
title_fullStr | Investigating the interactions between travellers' familiar areas and their multi-day activity locations |
title_full_unstemmed | Investigating the interactions between travellers' familiar areas and their multi-day activity locations |
title_short | Investigating the interactions between travellers' familiar areas and their multi-day activity locations |
title_sort | investigating the interactions between travellers familiar areas and their multi day activity locations |
topic | G70 - 70.6 Philosophy. Relation to other topics. Methodology |
url | http://eprints.uthm.edu.my/4913/1/AJ%202017%20%28235%29%20Investigating%20the%20interactions%20between%20travellers%27%20familiar%20areas.pdf |
work_keys_str_mv | AT zhangwen investigatingtheinteractionsbetweentravellersfamiliarareasandtheirmultidayactivitylocations AT susiloyusako investigatingtheinteractionsbetweentravellersfamiliarareasandtheirmultidayactivitylocations AT ahmadtermidanursitihazlin investigatingtheinteractionsbetweentravellersfamiliarareasandtheirmultidayactivitylocations |