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A GIS‐based land use and public transport accessibility indexing model
Open accessAbstract
Accessibility indexing is important in evaluating existing land use patterns and transportation services, predicting travel demands and allocating transportation investments.A GIS-based land use and public transport accessibility indexing model has been developed for measuring and mapping levels of accessibility to basic community services by walking and/or public transport, within local government areas.The model aims to assist the planning and decision making process to deliver integrated land use and transportation outcomes.It is an originbased accessibility model that determines levels of accessibility by utilising GIS analysis techniques to measures accessibility based on both actual walking distances and public transport travel time.The model has been applied to two pilot studies in the Gold Coast City to assess its practicality and effectiveness.This paper outlines the methodology of the model and the findings related to these pilot studies.The paper also demonstrates benefits and application of the model to other urbanised local government areas.
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“The convenience factors include access to public transport stops (Murray, Davis, Stimson, & Ferreira, 1998; Yigitcanlar, Sipe, Evens, & Pitot, 2007), weather and climatic conditions to access and use public transport (Kashfi, Bunker, & Yigitcanlar, 2015a, 2015b), travel time, cost and in-vehicle conditions (Beirão & Cabral, 2007).”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Yigitcanlar, Sipe, Evens, & Pitot, 2007
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Research works printed but not linked: 30
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Cited by
Sorted by citations
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Currie, G. (2019) · Journal of Transport and Land Use · doi:10.5198/jtlu.2019.1405 · Cited by 427
Self-citationYigitcanlar, T., Fabian, L., & Coiacetto, E. (2008) · The Open Transportation Journal · doi:10.2174/1874447800802010029 · Cited by 70
A spatial-indexing model for measuring neighbourhood-level land-use and transport integration
Dur, F., Yigitcanlar, T., & Bunker, J. (2014) · Environment and Planning B: Planning and Design · doi:10.1068/b39028 · Cited by 39
Metadata
- Authors
- Yigitcanlar, T., Sipe, N., Evans, R., & Pitot, M.
- Affiliations
- Griffith University (AU)
- Queensland Government (AU)
- ORCID
- Evans, Rick
- Venue
- Australian Planner
- Publisher
- Informa UK Limited
- Published
- 2007-09
- Volume
- 44
- Issue
- 3
- Pages
- 30-37
- ISSN
- 0729-3682 (ISSN-L)
- 2150-6841
- OpenAlex
- W1983609640
- Cited by
- 216
- References
- 0
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 17 · 2023: 10 · 2022: 20 · 2021: 19 · 2020: 16 · 2019: 19 · 2018: 14 · 2017: 12 · 2016: 19 · 2015: 12 · 2014: 13 · 2013: 3 · 2012: 1
- FWCI
- 17.03
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Australian Planner (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Griffith Research Online (submittedVersion)
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Urban Studies › Urban Design and Spatial Analysis
- Keywords
- public transport accessibility, land use, walking distance, travel time, land use and transportation integration, local government areas, urban planning decision-making
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- Yigitcanlar, T., Sipe, N., Evans, R., & Pitot, M. (2007). A GIS‐based land use and public transport accessibility indexing model. Australian Planner. https://doi.org/10.1080/07293682.2007.9982586
