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- Publisher Website: 10.1007/978-3-642-33024-7_14
- Scopus: eid_2-s2.0-84867586724
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Conference Paper: Measuring the influence of built environment on walking behavior: An accessibility approach
Title | Measuring the influence of built environment on walking behavior: An accessibility approach |
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Authors | |
Keywords | walking behavior accessibility measure built environment change hilly community |
Issue Date | 2012 |
Citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, v. 7478 LNCS, p. 187-197 How to Cite? |
Abstract | Walking behavior has been extensively studied from various perspectives. In this paper, we review the influence of built environment on walking behavior and argue that a longitudinal design with the change of built environment can identify the real influences. We then present a location-based walking accessibility measure for the impact evaluation and describe its methodology with an illustration in a hilly topography community that is experiencing a built environment changes. © 2012 Springer-Verlag. |
Persistent Identifier | http://hdl.handle.net/10722/242630 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
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dc.contributor.author | Sun, Guibo | - |
dc.contributor.author | Lin, Hui | - |
dc.contributor.author | Li, Rongrong | - |
dc.date.accessioned | 2017-08-10T10:51:10Z | - |
dc.date.available | 2017-08-10T10:51:10Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, v. 7478 LNCS, p. 187-197 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/242630 | - |
dc.description.abstract | Walking behavior has been extensively studied from various perspectives. In this paper, we review the influence of built environment on walking behavior and argue that a longitudinal design with the change of built environment can identify the real influences. We then present a location-based walking accessibility measure for the impact evaluation and describe its methodology with an illustration in a hilly topography community that is experiencing a built environment changes. © 2012 Springer-Verlag. | - |
dc.language | eng | - |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.subject | walking behavior | - |
dc.subject | accessibility measure | - |
dc.subject | built environment change | - |
dc.subject | hilly community | - |
dc.title | Measuring the influence of built environment on walking behavior: An accessibility approach | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-642-33024-7_14 | - |
dc.identifier.scopus | eid_2-s2.0-84867586724 | - |
dc.identifier.volume | 7478 LNCS | - |
dc.identifier.spage | 187 | - |
dc.identifier.epage | 197 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.identifier.issnl | 0302-9743 | - |