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Characterising urban concentration and land-use diversity in simulations of future land use

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  • Jan Ritsema van Eck
  • Eric Koomen

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  • Jan Ritsema van Eck & Eric Koomen, 2008. "Characterising urban concentration and land-use diversity in simulations of future land use," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 123-140, March.
    • Handle: RePEc:spr:anresc:v:42:y:2008:i:1:p:123-140
    DOI: 10.1007/s00168-007-0141-7
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    References listed on IDEAS

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    1. Glaeser, Edward L. & Kahn, Matthew E., 2004. "Sprawl and urban growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 56, pages 2481-2527, Elsevier.
    2. Eric Koomen & Tom Kuhlman & Jan Groen & Arno Bouwman, 2005. "Simulating The Future Of Agricultural Land Use In The Netherlands," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 96(2), pages 218-224, April.
    3. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    4. Henk J. Scholten & Rob Velde & Piet Rietveld & Maarten Hilferink, 1999. "Spatial Information Infrastructure for Scenario Planning: The Development of a Land Use Planner for Holland," Advances in Spatial Science, in: John Stillwell & Stan Geertman & Stan Openshaw (ed.), Geographical Information and Planning, chapter 6, pages 112-134, Springer.
    5. Ron Johnston & David Voas, 2003. "Measuring Spatial Concentration: The Use of Threshold Profiles," Environment and Planning B, , vol. 30(1), pages 3-14, February.
    6. J. V. Henderson & J. F. Thisse (ed.), 2004. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 4, number 4.
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    Cited by:

    1. Hongji Chen & Kangchuan Su & Lixian Peng & Guohua Bi & Lulu Zhou & Qingyuan Yang, 2022. "Mixed Land Use Levels in Rural Settlements and Their Influencing Factors: A Case Study of Pingba Village in Chongqing, China," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
    2. Weltin, Meike & Hüttel, Silke, 2019. "Farm eco-efficiency: Can sustainable intensification make the difference?," FORLand Working Papers 10 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    3. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    4. Brad R. Watts & George A. Erickcek & Jacob Duritsky & Kevin O'Brien & Claudette Robey & James Robey, 2011. "What Should EDA Fund? Developing a Model for Preassessment of Economic Development Investments," Economic Development Quarterly, , vol. 25(1), pages 65-78, February.
    5. 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.
    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. Jana Hoymann, 2010. "Spatial Allocation of Future Residential Land Use in the Elbe River Basin," Environment and Planning B, , vol. 37(5), pages 911-928, October.
    8. Doina Olaru & Simon Moncrieff & Gary McCarney & Yuchao Sun & Tristan Reed & Cate Pattison & Brett Smith & Sharon Biermann, 2019. "Place vs. Node Transit: Planning Policies Revisited," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    9. Arthur Huang & David Levinson, 2011. "Why Retailers Cluster: An Agent Model of Location Choice on Supply Chains," Environment and Planning B, , vol. 38(1), pages 82-94, February.
    10. Lijing Dong & Lingyu Zhang, 2022. "Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    11. 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.
    12. Ha Na Im & Chang Gyu Choi, 2020. "Measuring pedestrian volume by land use mix: Presenting a new entropy-based index by weighting walking generation units," Environment and Planning B, , vol. 47(7), pages 1219-1236, September.
    13. Jian-gang Shi & Wei Miao & Hongyun Si, 2019. "Visualization and Analysis of Mapping Knowledge Domain of Urban Vitality Research," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    14. Singh, Yamini Jain & Fard, Pedram & Zuidgeest, Mark & Brussel, Mark & Maarseveen, Martin van, 2014. "Measuring transit oriented development: a spatial multi criteria assessment approach for the City Region Arnhem and Nijmegen," Journal of Transport Geography, Elsevier, vol. 35(C), pages 130-143.
    15. Vanessa Carlow & Olaf Mumm & Dirk Neumann & Anne-Kathrin Schneider & Boris Schröder & Maycon Sedrez & Ryan Zeringue, 2022. "TOPOI – A method for analysing settlement units and their linkages in an urban–rural fabric," Environment and Planning B, , vol. 49(6), pages 1663-1681, July.
    16. 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.
    17. Chen, Zhenhua & Zhou, Yulong & Haynes, Kingsley E., 2021. "Change in land use structure in urban China: Does the development of high-speed rail make a difference," Land Use Policy, Elsevier, vol. 111(C).
    18. Allison M Orr & Joanna L Stewart & Cath Jackson & James T White, 2023. "Ownership diversity and fragmentation: A barrier to urban centre resilience," Environment and Planning B, , vol. 50(3), pages 660-677, March.
    19. 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.
    20. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.
    21. Jing Yang & Xinyu Zhu & Wei Chen & Yizhong Sun & Jie Zhu, 2023. "Modeling land-use change using partitioned vector cellular automata while considering urban spatial structure," Environment and Planning B, , vol. 50(8), pages 2273-2293, October.
    22. Liu, Xintao & Wu, Jiawei & Huang, Jianwei & Zhang, Junwei & Chen, Bi Yu & Chen, Anthony, 2021. "Spatial-interaction network analysis of built environmental influence on daily public transport demand," Journal of Transport Geography, Elsevier, vol. 92(C).
    23. Daniel Arribas-Bel & Peter Nijkamp & Henk Scholten, 2011. "Multi-Dimensional Urban Sprawl in Europe: a Self-Organizing Map Approach," ERSA conference papers ersa10p485, European Regional Science Association.
    24. Shengjun Liu & Chen Gu & Yijing Chen, 2023. "Analysis of Coupling Relation between Urban Spatial Compactness and Degree of Land Use Mix Based on Compact City Theory: The Case of Downtown Shenyang, China," Sustainability, MDPI, vol. 15(2), pages 1-20, January.

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    More about this item

    Keywords

    C15; C53; R14; R52;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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