IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i3p331-d1351759.html
   My bibliography  Save this article

Towards a Multi-Scale Effect of Land Mixed Use on Resident Population—A Novel Explanatory Framework of Interactive Spatial Factors

Author

Listed:
  • Liu Liu

    (Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Spatial Intelligent Planning Technology, Ministry of Natural Resources, Tongji University, Shanghai 200092, China)

  • Huang Huang

    (Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Tongji University, Shanghai 200092, China)

  • Jiaxin Qi

    (Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

Starting from Jane Jacobs’ critiques and largely promoted and emphasized by New Urbanism, land mixed use (LMU) has become prevalent worldwide. It is believed to be an efficient approach to shaping a higher level of vitality in the economy, equality in society, and quality in the environment. To reveal the differences of this effect at distinct spatial scales, this study selected the two most related outcomes of LMU—resident population distribution and changes—to investigate the LMU impacts. A novel framework is developed to quantify the interactive impact of pairwise LMU-related factors at multiple scales, and the geographical detector is applied to identify the relationship between resident population distribution/changes and LMU. Taking the Jiading District of Shanghai as a pilot case, the framework was applied and tested. The results showed LMU affected resident population distribution distinctively from 600 m to 3000 m grid scales. The grid scale of 1800 m, approximately ten blocks, is revealed to be the optimal scale for discussing LMU with the selected factors. Also, these factors play different roles at different spatial scales. Some factors strongly affect the resident population distribution only when working with other factors. The study emphasized the crucial role of scale in LMU and suggested an open framework to support the decision making and policy making in planning for a better performance of smart growth and sustainability via LMU. It can help researchers obtain the optimal scale for the LMU plans with different sets of factors and identify the key factors in various contexts. Thus, this framework also contributes to supporting other practices of land mixed use beyond our study region.

Suggested Citation

  • Liu Liu & Huang Huang & Jiaxin Qi, 2024. "Towards a Multi-Scale Effect of Land Mixed Use on Resident Population—A Novel Explanatory Framework of Interactive Spatial Factors," Land, MDPI, vol. 13(3), pages 1-21, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:331-:d:1351759
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/3/331/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/3/331/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Markus Moos & Tara Vinodrai & Nick Revington & Michael Seasons, 2018. "Planning for Mixed Use: Affordable for Whom?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 84(1), pages 7-20, January.
    3. Motieyan, Hamid & Azmoodeh, Mohammad, 2021. "Mixed-use distribution index: A novel bilevel measure to address urban land-use mix pattern (A case study in Tehran, Iran)," Land Use Policy, Elsevier, vol. 109(C).
    4. Kim Dovey & Elek Pafka, 2017. "What is functional mix? An assemblage approach," Planning Theory & Practice, Taylor & Francis Journals, vol. 18(2), pages 249-267, April.
    5. Raman, Rewati & Roy, Uttam Kumar, 2019. "Taxonomy of urban mixed land use planning," Land Use Policy, Elsevier, vol. 88(C).
    Full references (including those not matched with items on IDEAS)

    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. Jianwei Li & Yun Chen & Dan Zhao & Jiagang Zhai, 2024. "The Impact of Built Environment on Mixed Land Use: Evidence from Xi’an," Land, MDPI, vol. 13(12), pages 1-19, December.
    2. Liu Liu & Huang Huang & Jiali Yang, 2024. "Enhancing Detailed Planning from Functional Mix Perspective with Spatial Analysis and Multiscale Geographically Weighted Regression: A Case Study in Shanghai Central Region," Land, MDPI, vol. 13(12), pages 1-22, December.
    3. 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.
    4. Herman Geyer, 2024. "ZONING AND THE ‘RIGHT’ CITY: The Challenges of Zoning in the Global South and Possibilities for Unzoning Informality," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 48(5), pages 877-893, September.
    5. Motieyan, Hamid & Azmoodeh, Mohammad, 2021. "Mixed-use distribution index: A novel bilevel measure to address urban land-use mix pattern (A case study in Tehran, Iran)," Land Use Policy, Elsevier, vol. 109(C).
    6. 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.
    7. Alessia Iannillo & Isidoro Fasolino, 2021. "Land-Use Mix and Urban Sustainability: Benefits and Indicators Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    8. Hanbing Yang & Meichen Fu & Li Wang & Feng Tang, 2021. "Mixed Land Use Evaluation and Its Impact on Housing Prices in Beijing Based on Multi-Source Big Data," Land, MDPI, vol. 10(10), pages 1-21, October.
    9. Jana, Arnab & Sarkar, Ahana & Bardhan, Ronita, 2020. "Analysing outdoor airflow and pollution as a parameter to assess the compatibility of mass-scale low-cost residential development," Land Use Policy, Elsevier, vol. 99(C).
    10. 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.
    11. Yishao Shi & Bo Zheng & Zhu Wang & Jianwen Zheng, 2023. "Mixed Land Use and Its Relationship with CO 2 Emissions: A Comparative Analysis Based on Several Typical Development Zones in Shanghai," Land, MDPI, vol. 12(9), pages 1-22, August.
    12. Nick Revington, 2022. "Post-studentification? Promises and pitfalls of a near-campus urban intensification strategy," Urban Studies, Urban Studies Journal Limited, vol. 59(7), pages 1424-1442, May.
    13. George Grekousis & Zhuolin Pan & Ye Liu, 2021. "Do Neighborhoods with Highly Diverse Built Environment Exhibit Different Socio-Economic Profiles as Well? Evidence from Shanghai," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    14. Ding, Chuan & Cao, Xinyu & Yu, Bin & Ju, Yang, 2021. "Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 22-35.
    15. Carles Crosas & Eulàlia Gómez-Escoda & Enric Villavieja, 2024. "Interplay between Land Use Planning and Functional Mix Dimensions: An Assemblage Approach for Metropolitan Barcelona," Sustainability, MDPI, vol. 16(17), pages 1-20, September.
    16. Xing Su & Zhu Qian, 2020. "State Intervention in Land Supply and Its Impact on Real Estate Investment in China: Evidence from Prefecture-Level Cities," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    17. Chad Frederick, 2022. "Economic Sustainability and ‘Missing Middle Housing’: Associations between Housing Stock Diversity and Unemployment in Mid-Size U.S. Cities," Sustainability, MDPI, vol. 14(11), pages 1-17, June.
    18. Biswajit Mondal, 2023. "Analysing the consequences of progressive Urban Spatial cycles to evaluate urban land use policy," Environment and Planning B, , vol. 50(7), pages 1722-1738, September.
    19. Jin, Tanhua & Wang, Kailai & Xin, Yanan & Shi, Jian & Hong, Ye & Witlox, Frank, 2024. "Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities," Land Use Policy, Elsevier, vol. 142(C).
    20. Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.

    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:jlands:v:13:y:2024:i:3:p:331-:d:1351759. 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.