IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1898-d496870.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1898/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/1898/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    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. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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. 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.
    16. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sungjo Hong & Seok-Hwan Choi, 2021. "The Urban Characteristics of High Economic Resilient Neighborhoods during the COVID-19 Pandemic: A Case of Suwon, South Korea," Sustainability, MDPI, vol. 13(9), pages 1-39, April.
    2. Beryl Wong Xin Xian & Yani Rahmawati & Al-Hussein Mohammed Hassan Al-Aidrous & Christiono Utomo & Noor Amila Wan Abdullah Zawawi & Raflis, 2021. "Value-Based Decision to Redevelop Transportation Facilities: A Case Study of an Abandoned Airport," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    3. Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
    4. Jiacheng Jiao & John Rollo & Baibai Fu & Chunlu Liu, 2021. "Exploring Effective Built Environment Factors for Evaluating Pedestrian Volume in High-Density Areas: A New Finding for the Central Business District in Melbourne, Australia," Land, MDPI, vol. 10(6), pages 1-17, June.
    5. Rakefet Shafran-Nathan & David M. Broday, 2022. "Spatiotemporal variability in exposure to excessive heat at the sub-urban scale," Climatic Change, Springer, vol. 174(1), pages 1-21, September.
    6. Alessia Iannillo & Isidoro Fasolino, 2021. "Land-Use Mix and Urban Sustainability: Benefits and Indicators Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    7. Nimra Iqbal & Marvin Ravan & Ali Jamshed & Joern Birkmann & Giorgos Somarakis & Zina Mitraka & Nektarios Chrysoulakis, 2022. "Linkages between Typologies of Existing Urban Development Patterns and Human Vulnerability to Heat Stress in Lahore," Sustainability, MDPI, vol. 14(17), pages 1-26, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuning Wang & Duanfang Lu & David Levinson, 2023. "Equilibrium or imbalance? Rail Transit and Land Use Mix in Station Areas," Transportation, Springer, vol. 50(6), pages 2403-2421, December.
    2. Yuefei Zhuo & Xin Jing & Xiaoying Wang & Guan Li & Zhongguo Xu & Yang Chen & Xueqi Wang, 2022. "The Rise and Fall of Land Use Mix: Review and Prospects," Land, MDPI, vol. 11(12), pages 1-21, December.
    3. Fahad Ahmed Shaikh & Mir Aftab Hussain Talpur & Imtiaz Ahmed Chandio & Saima Kalwar, 2022. "Factors Influencing Residential Location Choice towards Mixed Land-Use Development: An Empirical Evidence from Pakistan," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    4. Liu, Jixiang & Xiao, Longzhu, 2023. "Non-linear relationships between built environment and commuting duration of migrants and locals," Journal of Transport Geography, Elsevier, vol. 106(C).
    5. Alessia Iannillo & Isidoro Fasolino, 2021. "Land-Use Mix and Urban Sustainability: Benefits and Indicators Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    6. Ha Na Im & Chang Gyu Choi, 2019. "The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix," Urban Studies, Urban Studies Journal Limited, vol. 56(9), pages 1865-1881, July.
    7. Hongyu Zheng & Yuefei Zhuo & Zhongguo Xu & Cifang Wu & Jianhong Huang & Qi Fu, 2021. "Measuring and characterizing land use mix patterns of China’s megacities: A case study of Shanghai," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2509-2539, December.
    8. Hachem-Vermette, Caroline & Grewal, Kuljeet Singh, 2019. "Investigation of the impact of residential mixture on energy and environmental performance of mixed use neighborhoods," Applied Energy, Elsevier, vol. 241(C), pages 362-379.
    9. Dawid Kudas & Agnieszka Wnęk & Lucia Tátošová, 2022. "Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    10. John Stanley & Janet Stanley, 2023. "Improving Appraisal Methodology for Land Use Transport Measures to Reduce Risk of Social Exclusion," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    11. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    12. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    13. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    14. Kevin Credit & Elizabeth Mack, 2019. "Place-making and performance: The impact of walkable built environments on business performance in Phoenix and Boston," Environment and Planning B, , vol. 46(2), pages 264-285, February.
    15. Letizia Appolloni & Alberto Giretti & Maria Vittoria Corazza & Daniela D’Alessandro, 2020. "Walkable Urban Environments: An Ergonomic Approach of Evaluation," Sustainability, MDPI, vol. 12(20), pages 1-31, October.
    16. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    17. Tian Li & Peng Jing & Linchao Li & Dazhi Sun & Wenbo Yan, 2019. "Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    18. Steven R Gehrke & Kelly J Clifton, 2019. "An activity-related land use mix construct and its connection to pedestrian travel," Environment and Planning B, , vol. 46(1), pages 9-26, January.
    19. Ziakopoulos, Apostolos & Oikonomou, Maria G. & Vlahogianni, Eleni I. & Yannis, George, 2021. "Quantifying the implementation impacts of a point to point automated urban shuttle service in a large-scale network," Transport Policy, Elsevier, vol. 114(C), pages 233-244.
    20. Xiaoquan Wang & Weifeng Wang & Chaoying Yin, 2023. "Exploring the Relationships between Multilevel Built Environments and Commute Durations in Dual-Earner Households: Does Gender Matter?," IJERPH, MDPI, vol. 20(6), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1898-:d:496870. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.