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A Spatial-Indexing Model for Measuring Neighbourhood-Level Land-Use and Transport Integration
Open accessAbstract
Significant attention has been given in urban policy literature to the integration of land-use and transport planning and policies—with a view to curbing sprawling urban form and diminishing externalities associated with car-dependent travel patterns. By taking land-use and transport interaction into account, this debate mainly focuses on how a successful integration can contribute to societal well-being, providing efficient and balanced economic growth while accomplishing the goal of developing sustainable urban environments and communities. The integration is also a focal theme of contemporary urban development models, such as smart growth, liveable neighbourhoods, and new urbanism. Even though available planning policy options for ameliorating urban form and transport-related externalities have matured—owing to growing research and practice worldwide—there remains a lack of suitable evaluation models to reflect on the current status of urban form and travel problems or on the success of implemented integration policies. In this study we explore the applicability of indicator-based spatial indexing to assess land-use and transport integration at the neighbourhood level. For this, a spatial index is developed by a number of indicators compiled from international studies and trialled in Gold Coast, Queensland, Australia. The results of this modelling study reveal that it is possible to propose an effective metric to determine the success level of city plans considering their sustainability performance via composite indicator methodology. The model proved useful in demarcating areas where planning intervention is applicable, and in identifying the most suitable locations for future urban development and plan amendments. Lastly, we integrate variance-based sensitivity analysis with the spatial indexing method, and discuss the applicability of the model in other urban contexts.
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“it is obvious that a well-maintained urban green and blue area could contribute to the overall sustainability level of the neighborhood both in terms of social and environmental aspects [78-80]”
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Metadata
- Authors
- Dur, F., Yigitcanlar, T., & Bunker, J.
- Affiliations
- Queensland University of Technology (AU)
- School of Civil Engineering and Built Environment, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, QLD 4001, Australia
- Corresponding author
- Dur, Fatih
- Bunker, Jonathan
- Venue
- Environment and Planning B: Planning and Design
- Publisher
- SAGE Publications
- Published
- 2014-10
- Volume
- 41
- Issue
- 5
- Pages
- 792-812
- ISSN
- 0265-8135 (ISSN-L)
- 1472-3417
- OpenAlex
- W1603131379
- Semantic Scholar
- 272cd458766cebf49d16a50c9ee083119ba8ff90
- Cited by
- 39
- References
- 33
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2021: 2 · 2020: 4 · 2019: 4 · 2018: 7 · 2017: 5 · 2016: 3 · 2015: 3 · 2014: 5
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Environment and Planning B Planning and Design (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Science & Engineering Faculty
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Social Sciences › Urban Studies › Urban Design and Spatial Analysis
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- land use and transportation integration, spatial indexing, composite index, urban sprawl, car dependence, sustainable urban development, urban planning evaluation, variance-based sensitivity analysis, Gold Coast
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