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The Hidden Characteristics of Land-Use Mix Indices: An Overview and Validity Analysis Based on the Land Use in Melbourne, Australia

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  • Jiacheng Jiao

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia
    Key Laboratory of Digital Simulation in Architecture and Urban-Rural Spatial Design in Universities of Shandong, Jinan 250101, China)

  • John Rollo

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia)

  • Baibai Fu

    (Key Laboratory of Digital Simulation in Architecture and Urban-Rural Spatial Design in Universities of Shandong, Jinan 250101, China
    School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, China)

Abstract

The land-use mix index is a way to quantify the mixture of land-use patterns. Due to practical limitations, few studies have highlighted the validity of land-use mix indices. This paper aims to explore the potential characteristics of land-use mix indices using a three-step screening method. The data precision of indices was concluded after the first-step screening. A total of 10 virtual blocks and 217 blocks in Melbourne city center served as a case study and reflected the various land-use structures. The randomized controlled comparative trial was incorporated into the second- and third-screening to indicate the applicable condition and validity. The results illustrate that the value Herfindahl–Hirschman index related to the diversity of land-use types. The results also confirmed that Dissimilarity index-I was significantly associated with the balance status of the land-use mix. Entropy index reflects the evenness but did not correlate to the diversity or balance of the land-use mix. In addition, the study also provides a set of general recommendations for the application conditions of land-use mix indices.

Suggested Citation

  • Jiacheng Jiao & John Rollo & Baibai Fu, 2021. "The Hidden Characteristics of Land-Use Mix Indices: An Overview and Validity Analysis Based on the Land Use in Melbourne, Australia," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1898-:d:496870
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    as
    1. Danya Kim & Jangik Jin, 2019. "The Effect of Land Use on Housing Price and Rent: Empirical Evidence of Job Accessibility and Mixed Land Use," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    2. Tian, Li & Liang, Yinlong & Zhang, Bo, 2017. "Measuring residential and industrial land use mix in the peri-urban areas of China," Land Use Policy, Elsevier, vol. 69(C), pages 427-438.
    3. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    4. Shuhong Ma & Yan Zhang & Chaoxu Sun, 2019. "Optimization and Application of Integrated Land Use and Transportation Model in Small- and Medium-Sized Cities in China," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
    5. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    6. Mi Diao, 2015. "Selectivity, spatial autocorrelation and the valuation of transit accessibility," Urban Studies, Urban Studies Journal Limited, vol. 52(1), pages 159-177, January.
    7. Joreintje Dingena Mackenbach & Edward Randal & Pengjun Zhao & Philippa Howden-Chapman, 2016. "The Influence of Urban Land-Use and Public Transport Facilities on Active Commuting in Wellington, New Zealand: Active Transport Forecasting Using the WILUTE Model," Sustainability, MDPI, vol. 8(3), pages 1-14, March.
    8. Yehua Dennis Wei & Weiye Xiao & Ming Wen & Ran Wei, 2016. "Walkability, Land Use and Physical Activity," Sustainability, MDPI, vol. 8(1), pages 1-16, January.
    9. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    10. Baranzini, Andrea & Schaerer, Caroline, 2011. "A sight for sore eyes: Assessing the value of view and land use in the housing market," Journal of Housing Economics, Elsevier, vol. 20(3), pages 191-199, September.
    11. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    12. Manaugh, Kevin & Kreider, Tyler, 2013. "What is mixed use? Presenting an interaction method for measuring land use mix," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 63-72.
    13. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    14. Lang, Wei & Long, Ying & Chen, Tingting, 2018. "Rediscovering Chinese cities through the lens of land-use patterns," Land Use Policy, Elsevier, vol. 79(C), pages 362-374.
    15. Gan, Zuoxian & Feng, Tao & Wu, Yunteng & Yang, Min & Timmermans, Harry, 2019. "Station-based average travel distance and its relationship with urban form and land use: An analysis of smart card data in Nanjing City, China," Transport Policy, Elsevier, vol. 79(C), pages 137-154.
    16. Song, Yan & Knaap, Gerrit-Jan, 2004. "Measuring the effects of mixed land uses on housing values," Regional Science and Urban Economics, Elsevier, vol. 34(6), pages 663-680, November.
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