IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p15927-d988123.html
   My bibliography  Save this article

Urban Land-Use Allocation with Resilience: Application of the Lowry Model

Author

Listed:
  • Chich-Ping Hu

    (Department of Urban Planning and Disaster Management, Ming Chuan University, No. 5 DeMing Rd., Gweishan District, Taoyuan City 33348, Taiwan)

Abstract

The Resilient Cities Network initiated by the Rockefeller Foundation advocates achieving the goal of comprehensive resilient urban development through land-use planning, but the implementation of resilience must be achieved through a vulnerability analysis. The Lowry Model is the earliest and most used land-use integrated transportation allocation model. Its operation is mainly based on accessibility indicators to allocate population and employment opportunities, and the results of the allocation can be used as a basis for urban development. Accessibility is a unique feature of the Lowry Model, in which accessibility is a function of employment opportunities and physical distance. However, it builds non-resilient cities. A city is a system that is vulnerable and suffers the most when change occurs. A city with a high density of population, although it has location convenience, is relatively vulnerable to disasters and security threats. Ignoring resilience makes the city lose its adjustment mechanism to avoid disasters and make the city less resilient, less safe, and even less efficient. This paper takes Taoyuan City, Taiwan, as the case study area, uses the data to implement a resilience-oriented allocation of land use, and compares the results with a non-resilient land-use allocation. The results show that the resilience-oriented Lowry Type Model can indeed allocate population and service employment opportunities to districts with higher resilience and lower vulnerability, can meet the threshold standard constraints of the economies of scale, and can obeythe population density scale constraints to maintain an adequate level of quality of life. This paper offers positive conclusions that can support the application of the resilience-oriented Lowry Type Model to Taiwan and even other cities that expect resilient planning.

Suggested Citation

  • Chich-Ping Hu, 2022. "Urban Land-Use Allocation with Resilience: Application of the Lowry Model," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15927-:d:988123
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/15927/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/23/15927/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephanie Chang & Jackie Yip & Shona Zijll de Jong & Rebecca Chaster & Ashley Lowcock, 2015. "Using vulnerability indicators to develop resilience networks: a similarity approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 1827-1841, September.
    2. Wang, Dan & Gong, Zhiguang & Yang, Zhongzhen, 2018. "Design of industrial clusters and optimization of land use in an airport economic zone," Land Use Policy, Elsevier, vol. 77(C), pages 288-297.
    3. Papa, Enrica & Bertolini, Luca, 2015. "Accessibility and Transit-Oriented Development in European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 47(C), pages 70-83.
    4. Kelly Bergstrand & Brian Mayer & Babette Brumback & Yi Zhang, 2015. "Assessing the Relationship Between Social Vulnerability and Community Resilience to Hazards," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 391-409, June.
    5. Neil Adger, W., 1999. "Social Vulnerability to Climate Change and Extremes in Coastal Vietnam," World Development, Elsevier, vol. 27(2), pages 249-269, February.
    6. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    7. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    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. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to disaster," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2221-2245, February.
    2. Noy, Ilan & Yonson, Rio, 2016. "A survey of the theory and measurement of economic vulnerability and resilience to natural hazards," Working Paper Series 19394, Victoria University of Wellington, School of Economics and Finance.
    3. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    4. Emily Fucile-Sanchez & Meri Davlasheridze, 2020. "Adjustments of Socially Vulnerable Populations in Galveston County, Texas USA Following Hurricane Ike," Sustainability, MDPI, vol. 12(17), pages 1-23, August.
    5. Piya, Luni & Maharjan, Keshav Lall & Joshi, Niraj Prakash, 2012. "Vulnerability of rural households to climate change and extremes: Analysis of Chepang households in the Mid-Hills of Nepal," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126191, International Association of Agricultural Economists.
    6. Ilan Noy & Rio Yonson, 2018. "Economic Vulnerability and Resilience to Natural Hazards: A Survey of Concepts and Measurements," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    7. Zhe Huang & Emily Ying Yang Chan & Chi Shing Wong & Benny Chung Ying Zee, 2021. "Clustering of Socioeconomic Data in Hong Kong for Planning Better Community Health Protection," IJERPH, MDPI, vol. 18(23), pages 1-21, November.
    8. Yi Ge & Wen Dou & Jianping Dai, 2017. "A New Approach to Identify Social Vulnerability to Climate Change in the Yangtze River Delta," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    9. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu, 2014. "Assessment of provincial social vulnerability to natural disasters in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2165-2186, April.
    10. Eno Amos & Uduak Akpan & Kehinde Ogunjobi, 2015. "Households’ perception and livelihood vulnerability to climate change in a coastal area of Akwa Ibom State, Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(4), pages 887-908, August.
    11. Le-Le Zou & Yi-Ming Wei, 2009. "Impact assessment using DEA of coastal hazards on social-economy in Southeast Asia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(2), pages 167-189, February.
    12. Deressa, Temesgen & Hassan, Rashid M. & Ringler, Claudia, 2008. "Measuring Ethiopian farmers' vulnerability to climate change across regional states:," IFPRI discussion papers 806, International Food Policy Research Institute (IFPRI).
    13. Sara Lindersson & Elena Raffetti & Maria Rusca & Luigia Brandimarte & Johanna Mård & Giuliano Di Baldassarre, 2023. "The wider the gap between rich and poor the higher the flood mortality," Nature Sustainability, Nature, vol. 6(8), pages 995-1005, August.
    14. Xuchao Yang & Lin Lin & Yizhe Zhang & Tingting Ye & Qian Chen & Cheng Jin & Guanqiong Ye, 2019. "Spatially Explicit Assessment of Social Vulnerability in Coastal China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    15. María Ibarrarán & Matthias Ruth & Sanjana Ahmad & Marisa London, 2009. "Climate change and natural disasters: macroeconomic performance and distributional impacts," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(3), pages 549-569, June.
    16. Ognjen Žurovec & Sabrija Čadro & Bishal Kumar Sitaula, 2017. "Quantitative Assessment of Vulnerability to Climate Change in Rural Municipalities of Bosnia and Herzegovina," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    17. Tiodora Siagian & Purhadi Purhadi & Suhartono Suhartono & Hamonangan Ritonga, 2014. "Social vulnerability to natural hazards in Indonesia: driving factors and policy implications," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1603-1617, January.
    18. Oleksandr Didkovskyi & Giovanni Azzone & Alessandra Menafoglio & Piercesare Secchi, 2021. "Social and material vulnerability in the face of seismic hazard: An analysis of the Italian case," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1549-1577, October.
    19. Kerstin Krellenberg & Juliane Welz, 2017. "Assessing Urban Vulnerability in the Context of Flood and Heat Hazard: Pathways and Challenges for Indicator-Based Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 709-731, June.
    20. Wenmin Qin & Aiwen Lin & Jian Fang & Lunche Wang & Man Li, 2017. "Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(1), pages 331-349, October.

    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:14:y:2022:i:23:p:15927-:d:988123. 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.