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

被引:0
|
作者
Hu, Chich-Ping [1 ]
机构
[1] Ming Chuan Univ, Dept Urban Planning & Disaster Management, 5 DeMing Rd, Taoyuan 33348, Taiwan
关键词
resilient cities; vulnerability; accessibility; quality of life; SOCIAL VULNERABILITY; HAZARD MITIGATION; ACCESSIBILITY;
D O I
10.3390/su142315927
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] THE LOWRY MODEL OF LAND-USE SIMULATION AND ITS DERIVATIVES
    GROSS, M
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 1982, 7 (03) : 197 - 211
  • [2] 'Ecological land-use complementation' for building resilience in urban ecosystems
    Colding, Johan
    [J]. LANDSCAPE AND URBAN PLANNING, 2007, 81 (1-2) : 46 - 55
  • [3] Global land-use allocation model linked to an integrated assessment model
    Hasegawa, Tomoko
    Fujimori, Shinichiro
    Ito, Akihiko
    Takahashi, Kiyoshi
    Masui, Toshihiko
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 580 : 787 - 796
  • [4] A cellular automata model for urban land-use simulation
    Lau, KH
    Kam, BH
    [J]. ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2005, 32 (02): : 247 - 263
  • [5] AN EMPIRICAL-MODEL OF URBAN FRINGE LAND-USE
    MCMILLEN, DP
    [J]. LAND ECONOMICS, 1989, 65 (02) : 138 - 145
  • [6] A DYNAMIC-MODEL OF URBAN LAND-USE WITH EXTERNALITIES
    WERCZBERGER, E
    [J]. REGIONAL SCIENCE AND URBAN ECONOMICS, 1987, 17 (03) : 391 - 410
  • [7] A model of urban land-use and transportation network design
    Shan, LL
    Gao, ZY
    [J]. TRAFFIC AND TRANSPORTATION STUDIES, 2000, : 398 - 403
  • [8] Modelling the hydrologic effects of dynamic land-use change using a distributed hydrologic model and a spatial land-use allocation model
    Chu, Hone-Jay
    Lin, Yu-Pin
    Huang, Chun-Wei
    Hsu, Cheng-Yu
    Chen, Horng-Yng
    [J]. HYDROLOGICAL PROCESSES, 2010, 24 (18) : 2538 - 2554
  • [9] A hybrid inexact optimization model for land-use allocation of China
    Min Zhou
    Yunlong Cai
    Xingliang Guan
    Shukui Tan
    Shasha Lu
    [J]. Chinese Geographical Science, 2015, 25 : 62 - 73
  • [10] A Hybrid Inexact Optimization Model for Land-use Allocation of China
    ZHOU Min
    CAI Yunlong
    GUAN Xingliang
    TAN Shukui
    LU Shasha
    [J]. Chinese Geographical Science, 2015, 25 (01) : 62 - 73