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Cited by 42Urban Transport and AccessibilityUrban Design and Spatial AnalysisTransportation Planning and Optimization

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

A Spatial-Indexing Model for Measuring Neighbourhood-Level Land-Use and Transport Integration

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Dur, Fatih, Yigitcanlar, Tan, Bunker, Jonathan·2014·Environment and Planning B: Planning and Design
DOI 10.1068/b39028
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Abstract

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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Cites

Research works printed but not linked: 20

  1. ACTG, “Design standards for urban infrastructure”
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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
ORCID
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
DOI
10.1068/b39028
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
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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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