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An adaptation of reference class forecasting for the assessment of large-scale urban planning vision, a SEM-ANN approach to the case of Hong Kong Lantau tomorrow

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  • Zhou, You
  • Zhang, Lingzhu
  • Chiaradia, Alain J F

Abstract

An outline strategic urban planning vision is a front-end government strategic plan with sparsely defined goals. Methods for an ex-ante appraisal of such sparsely defined vision are limited in the literature. By adapting a reference class forecasting (RCF) methodology, we propose an innovative two-stage combination of Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN) as an explainable ANN strategy to the appraisal of urban planning vision outline. The SEM-ANN operationalizes interaction between job, resident, and multi-modal accessibility in a public transport-dominated city. This strategy is applied to Lantau Tomorrow Vision in Hong Kong, as an extreme case study of a large, reclaimed island. The vision is broadly outlined as a New Town with a third CBD, residential and job targets, road and urban rail transport infrastructure routing, and an overall cost. The results show that the New Town scenario job/population goal should be plausibly attainable by increasing the transport infrastructure accessibility supply. Yet, the simulation indicates that the CBD3 employment goal based on CBD1 is out of range. Overall, our SEM-ANN method, as an adaptation of RCF, is of particular interest in front-end large-scale outline urban planning vision appraisal.

Suggested Citation

  • Zhou, You & Zhang, Lingzhu & Chiaradia, Alain J F, 2021. "An adaptation of reference class forecasting for the assessment of large-scale urban planning vision, a SEM-ANN approach to the case of Hong Kong Lantau tomorrow," Land Use Policy, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:lauspo:v:109:y:2021:i:c:s0264837721004245
    DOI: 10.1016/j.landusepol.2021.105701
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    as
    1. Skamris, Mette K. & Flyvbjerg, Bent, 1997. "Inaccuracy of traffic forecasts and cost estimates on large transport projects," Transport Policy, Elsevier, vol. 4(3), pages 141-146, July.
    2. Roberto Patuelli & Peter Nijkamp & Simonetta Longhi & Aura Reggiani, 2008. "Neural Networks and Genetic Algorithms as Forecasting Tools: A Case Study on German Regions," Environment and Planning B, , vol. 35(4), pages 701-722, August.
    3. Mayer, Thierry & Trevien, Corentin, 2017. "The impact of urban public transportation evidence from the Paris region," Journal of Urban Economics, Elsevier, vol. 102(C), pages 1-21.
    4. Josep-Maria Arauzo-Carod, 2007. "Determinants of population and jobs at a local level," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(1), pages 87-104, March.
    5. Niu, Fangqu & Li, Jun, 2018. "Modeling the population and industry distribution impacts of urban land use policies in Beijing," Land Use Policy, Elsevier, vol. 70(C), pages 347-359.
    6. Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Norbert Schanne, 2011. "Neural networks for regional employment forecasts: are the parameters relevant?," Journal of Geographical Systems, Springer, vol. 13(1), pages 67-85, March.
    7. Odeck, James & Kjerkreit, Anne, 2019. "The accuracy of benefit-cost analyses (BCAs) in transportation: An ex-post evaluation of road projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 277-294.
    8. Flyvbjerg,Bent & Bruzelius,Nils & Rothengatter,Werner, 2003. "Megaprojects and Risk," Cambridge Books, Cambridge University Press, number 9780521009461, October.
    9. Aschauer, David Alan, 1989. "Is public expenditure productive?," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 177-200, March.
    10. David Levinson, 2008. "Density and dispersion: the co-development of land use and rail in London," Journal of Economic Geography, Oxford University Press, vol. 8(1), pages 55-77, January.
    11. Morten Skou Nicolaisen & Patrick Arthur Driscoll, 2014. "Ex-Post Evaluations of Demand Forecast Accuracy: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 540-557, July.
    12. Gerke J. Hoogstra & Jouke van Dijk & Raymond J. G. M. Florax, 2017. "Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 357-378, October.
    13. Simonetta Longhi & Peter Nijkamp & Aura Reggianni & Erich Maierhofer, 2005. "Neural Network Modeling as a Tool for Forecasting Regional Employment Patterns," International Regional Science Review, , vol. 28(3), pages 330-346, July.
    14. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour," Journal of Transport Geography, Elsevier, vol. 74(C), pages 37-52.
    15. Dena Kasraian & Kees Maat & Dominic Stead & Bert van Wee, 2016. "Long-term impacts of transport infrastructure networks on land-use change: an international review of empirical studies," Transport Reviews, Taylor & Francis Journals, vol. 36(6), pages 772-792, November.
    16. Lawrence W.C. Lai & K. W. Chau & Frank T. Lorne & Weisheng Lu, 2020. "Experimental Coastal Land Reclamation: Qianhai as a Case Interpreted," Planning Practice & Research, Taylor & Francis Journals, vol. 35(1), pages 51-61, January.
    17. Berechman, J & Small, K. A., 1987. "Modeling Land Use and Transportation: An Interpretive Review for Growth Areas," University of California Transportation Center, Working Papers qt5882r95w, University of California Transportation Center.
    18. de Graaff, Thomas & van Oort, Frank G. & Florax, Raymond J.G.M., 2012. "Sectoral heterogeneity, accessibility and population–employment dynamics in Dutch cities," Journal of Transport Geography, Elsevier, vol. 25(C), pages 115-127.
    19. Xiao, Yang & Sarkar, Chinmoy & Webster, Chris & Chiaradia, Alain & Lu, Yi, 2017. "Street network accessibility-based methodology for appraisal of land use master plans: An empirical case study of Wuhan, China," Land Use Policy, Elsevier, vol. 69(C), pages 193-203.
    20. repec:hal:spmain:info:hdl:2441/6d427am2i18m5a5elpijpm1e8l is not listed on IDEAS
    21. Bent Flyvbjerg, 2007. "Policy and Planning for Large-Infrastructure Projects: Problems, Causes, Cures," Environment and Planning B, , vol. 34(4), pages 578-597, August.
    22. repec:dgr:vuarem:2009-14 is not listed on IDEAS
    23. Deitz, Richard, 1998. "A Joint Model of Residential and Employment Location in Urban Areas," Journal of Urban Economics, Elsevier, vol. 44(2), pages 197-215, September.
    24. Lai, Lawrence W.C. & Chau, K.W & Lorne, Frank T, 2019. "“Forgetting by not doing”: An institutional memory inquiry of forward planning for land production by reclamation," Land Use Policy, Elsevier, vol. 82(C), pages 796-806.
    25. McMillen, Daniel P. & William Lester, T., 2003. "Evolving subcenters: employment and population densities in Chicago, 1970-2020," Journal of Housing Economics, Elsevier, vol. 12(1), pages 60-81, March.
    26. Jonathan Reades & Jordan De Souza & Phil Hubbard, 2019. "Understanding urban gentrification through machine learning," Urban Studies, Urban Studies Journal Limited, vol. 56(5), pages 922-942, April.
    27. Roberto Patuelli & Peter Nijkamp & Simonetta Longhi & Aura Reggiani, 2008. "Neural Networks and Genetic Algorithms as Forecasting Tools: A Case Study on German Regions," Environment and Planning B, , vol. 35(4), pages 701-722, August.
    28. Raveau, Sebastián & Muñoz, Juan Carlos & de Grange, Louis, 2011. "A topological route choice model for metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 138-147, February.
    29. Bishal Bhakta Kasu & Guangqing Chi, 2018. "The Evolving and Complementary Impacts of Transportation Infrastructures on Population and Employment Change in the United States, 1970–2010," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 1003-1029, December.
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    1. Zhou, You & Zhang, Lingzhu & JF Chiaradia, Alain, 2022. "Estimating wider economic impacts of transport infrastructure Investment: Evidence from accessibility disparity in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 220-235.

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