Land Use Optimization for a Rapidly Urbanizing City with Regard to Local Climate Change: Shenzhen as a Case Study
Publication: Journal of Urban Planning and Development
Volume 141, Issue 1
Abstract
Land use and land use change have been proven to be leading causes of local climate change. In cities that undergo rapid urbanization, the urban heat island (UHI) can generate serious problems for the urban living environment. An appropriate overall land use plan can mitigate the detrimental effects of an UHI because it can reduce its development. However, land use decisions are driven by social and economic factors that cannot be made on the basis of moderating an UHI alone. To make a sound land use plan for Shenzhen in 2020, a rapidly urbanizing city in China suffering from UHI due to its fast land development, a genetic algorithm-based multiobjective optimization (MOO) approach was develped that addresses the objectives for future land use. The MOO provides a set of Pareto solutions and then the decision maker or planner can choose from the set of solutions. Recognizing the definite development of certain nonurban land for the local economy, three objectives were considered: (1) minimizing the increase of surface temperature, (2) minimizing the incompatibility between land uses, and (3) minimizing the cost of land use changes from the status quo. To quantify the effects of land use patterns on the UHI in Shenzhen, a self-organizing maps (SOM) method and linear regression model were used to establish the interactive relation. The relation thus obtained was then used in the MOO to help evaluate the effects of alternative land use patterns on the development of the UHI. Four scenarios were examined. The first scenario took all three objectives into account, and one optimal plan was selected randomly from the Pareto set as the first scenario, whereas the other three scenarios considered one objective each. Results showed that MOO can make tradeoffs among the conflicting objectives, indicating that the optimized land use plans can minimize the increasing UHI effects and at the same time attempt to achieve other objectives in the process of land development.
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References
Adger, W. N., and Brown, K. (1994). Land use and the causes of global warming, John Wiley, New York.
Akbari, H., et al. (1992). “Cooling our communities—A guidebook on tree planting and light colored surfacing.” U.S. Environmental Protection Agency, Washington, DC.
Alhoniemi, E., Simula, O., and Vesanto, J. (1998). “Analysis of complex systems using the self-organizing map.” Progr. Connectionist-Based Inform. Syst., 1(2), 1313–1317.
Arika, L. Z., Richard, L. C., and Piotr, J. (2008). “Spatial optimization as a generative technique for sustainable multiobjective land-use allocation.” Int. J. Geogr. Inform. Sci., 22(6), 601–622.
Balling, R. J. (2002). The maximin fitness function for multiobjective evolutionary optimization. Chapter 3, Optimization in industry, Springer, London, 135–147.
Balling, R. J., Powell, B., and Saito, M. (2004). “Generating future land-use and transportation plans for high-growth cities using a genetic algorithm.” Comput. Aided Civ. Infrastruct. Eng., 19(3), 213–222.
Balling, R., and Wilson, S. (2001). “The maxi-min fitness function for multi-objective evolutionary computation: Application to city planning.” Proc. Genetic and Evolutionary Computation Conf. (GECCO’2001), Morgan Kaufmann publishers, San Francisco, CA, 1079–1084.
Bartier, P. M., and Keller, C. P. (1996). “Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW).” Comput. Geosci., 22(7), 795–799.
Cao, K., Huang, B., Wang, S. W., and Lin, H. (2012). “Sustainable land use optimization using boundary-based fast genetic algorithm.” Comput. Environ. Urban Syst., 36(3), 257–269.
Chen, Z., Gong, C. F., Wu, J., and Yu, S. X. (2012). “The influence of socioeconomic and topographic factors on nocturnal urban heat islands: A case study in Shenzhen, China.” Int. J. Rem. Sens., 33(12), 3843–3849.
Deosthali, V. (2000). “Impact of rapid urban growth on heat and moisture islands in Pune City, India.” Atmos. Environ., 34(17), 2745–2754.
Emmanuel, R., and Krüger, E. (2012). “Urban heat island and its impact on climate change resilience in a shrinking city: The case of Glasgow, U.K.” Build. Environ., 53, 137–149.
Findell, K. L., Shevliakova, E., Milly, P. C. D., and Stouffer, R. J. (2007). “Modeled impact of anthropogenic land cover change on climate.” J. Clim., 20(14), 3621–3634.
Guo, Y. J., Hong, S., Feng, N., Zhuang, Y. H., and Zhang, L. (2012). “Spatial distributions and temporal variations of atmospheric aerosols and the affecting factors: A case study for a region in Central China.” Int. J. Rem. Sens., 33(12), 3672–3692.
Haapanen, R., Ek, A. R., Bauer, M. E., and Finley, A. O. (2004). “Delineation of forest/nonforest land use classes using nearest neighbor methods.” Remote Sens. Environ., 89(3), 265–271.
He, J. F., Liu, J. Y., Zhuang, D. F., Zhang, W., and Liu, M. L. (2007). “Assessing the effect of land use/land cover change on the change of urban heat island intensity.” Theor. Appl. Climatol., 90(3–4), 217–226.
Howard, L. (1818). The climate of London,deduced from meteorological observations, Vol. 1, W. Phillips, ed., George Yard, London.
Hu, Y. H., and Jia, G. S. (2010). “Influence of land use change on urban heat island derived from multi-sensor data.” Int. J. Climatol., 30(9), 1382–1395.
Huang, C. L., Li, X., and Lu, L. (2008). “Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter.” Remote Sens. Environ., 112(4), 1320–1336.
Jusuf, S. K., Wong, N. H., Hagen, E., Roni, A., and Yan, H. (2007). “The influence of land use on the urban heat island in Singapore.” Habitat Int., 31(2), 232–242.
Karl, T. R., Diaz, H. F., and Kukla, G. (1988). “Urbanization: Its detection and effect in the United States climate record.” J. Clim., 1(11), 1099–1123.
Kim, Y. H., and Baik, J. J. (2002). “Maximum urban heat island intensity in Seoul.” J. Appl. Meteorol., 41(6), 651–653.
Li, T. H., Li, W. K., and Qian, Z. H. (2010). “Variations in ecosystem service value in response to land use changes in Shenzhen.” Ecol. Econ., 69(7), 1427–1435.
Lo, C. P., and Quattrochi, D. A. (2003). “Land-use and land-cover change, urban heat island phenomenon, and health implications: A remote sensing approach.” Photogramm. Eng. Remote Sens., 69(9), 1053–1063.
Lo, C. P., Quattrochi, D. A., and Luvall, J. C. (1997). “Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect.” Int. J. Rem. Sens., 18(2), 287–304.
Lowry, M. B., and Balling, R. J. (2009). “An approach to land-use and transportation planning that facilitates city and region cooperation.” Environ. Plann. B, Plann. Des., 36(3), 487–504.
Lowry, W. P. (1977). “Empirical estimation of urban effects on climate: A problem analysis.” J. Appl. Meteorol., 16(2), 129–135.
Lu, G. Y., and Wong, D. W. (2008). “An adaptive inverse-distance weighting spatial interpolation technique.” Comput. Geosci., 34(9), 1044–1055.
Lv, Z. Q., Wu, Z. F., Wei, J. B., Sun, C., Zhou, Q. G., and Zhang, J. H. (2011). “Monitoring of the urban sprawl using geoprocessing tools in the Shenzhen Municipality, China.” Earth Environ. Sci., 62(6), 1131–1141.
McPherson, E. G. (1994). “Cooling urban heat islands with sustainable landscapes.” The ecological city: Preserving and restoring urban biodiversity, Univ. of Massachusetts Press, Amherst, MA, 151–171.
Nieuwolt, S. (1966). “The urban microclimate of Singapore.” J. Trop. Geogr., 22, 30–37.
Saaroni, H., Ben-Dor, E., Bitan, A., and Potchter, O. (2000). “Spatial distribution and microscale characteristics of the urban heat island in Tel-Aviv, Israel.” Landsc. Urban Plann., 48(1), 1–18.
Saaty, T. L. (1980). The analytic hierarchy process, McGraw-Hill, New York.
Spronken-Smith, R. A., and Oke, T. R. (1998). “The thermal regime of urban parks in two cities with different summer climates.” Int. J. Rem. Sens., 19(11), 2085–2104.
Stone, B., Hess, J. J., and Frumkin, H. (2010). “Urban form and extreme heat events: Are sprawling cities more vulnerable to climate change than compact cities?” Environ. Health Perspect., 118(10), 1425–1428.
Stone, B., and Norman, J. M. (2006). “Land use planning and surface heat island formation: A parcel-based radiation flux approach.” Atmos. Environ., 40(19), 3561–3573.
Svensson, M. K., and Eliasson, I. (2002). “Diurnal air temperatures in built-up areas in relation to urban planning.” Landsc. Urban Plann., 61(1), 37–54.
Vesanto, J., and Sulkava, M. (2002). “Distance matrix based clustering of the self-organizing map.” 12th Int. Conf. on Artificial Neural Networks (ICANN 2002), Springer, Berlin, 951–956.
Unger, J. (2004). “Intra-urban relationship between surface geometry and urban heat island: Review and new approach.” Clim. Res., 27(3), 253–264.
Unger, J., Sümeghy, Z., Gulyás, Á., Bottyán, Z., and Mucsi, L. (2001). “Land-use and meteorological aspects of the urban heat island.” Meteorol. Appl., 8(2), 189–194.
Wan, Z., Zhang, Y., Zhang, Q., and Li, Z. L. (2002). “Validation of the land-surface temperature products retrieved from Terra Moderate resolution imaging spectroradiometer data.” Remote Sens. Environ., 83(1–2), 163–180.
Wan, Z., Zhang, Y., Zhang, Q., and Li, Z. L. (2004). “Quality assessment and validation of the MODIS global land-surface temperature.” Int. J. Rem. Sens., 25(1), 261–274.
Wan, Z. M. (2007). “Collection-5 MODIS land surface temperature products users’ guide.” ICESS, Univ. of California, Santa Barbara, CA.
Weber, D., and Englund, E. (1992). “Evaluation and comparison of spatial interpolators.” Math. Geol., 24(4), 381–391.
Wilby, R. L. (2003). “Past and projected trends in London’s urban heat island.” Weather, 58(7), 251–260.
Yasrebi, J., Saffari, M., Fathi, H., Karimian, N., Moazallahi, M., and Gazni, R. (2009). “Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some soil chemical parameters.” Res. J. Bio. Sci., 4(1), 93–102.
Zhang, H. H., Zeng, Y. N., and Bian, L. (2010). “Simulating multi-objective spatial optimization allocation of land use based on the integration of multi-agent system and genetic algorithm.” Int. J. Environ. Res., 4(4), 765–776.
Zhang, X. L., et al. (2011). “A numerical study on the influences of urban planning and construction on the summer urban heat island in the metropolis of Shenzhen.” J. Trop. Meterol., 17(4), 392–398.
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Published In
Journal of Urban Planning and Development
Volume 141 • Issue 1 • March 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Aug 11, 2012
Accepted: Dec 30, 2013
Published online: Feb 19, 2014
Discussion open until: Jul 19, 2014
Published in print: Mar 1, 2015
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