City delineation in European applications of LUTI models: review and tests

References

• Abdel-Rahman, H. M., & Anas, A. (2004). Theories of systems of cities. In J. V. Henderson, & J. F. Thisse (Eds.), Handbook of regional and urban economics. Volume 4 cities and geography (pp. 2293–2340). North-Holland: Elsevier.
   Google Scholar
• Acheampong, R. A., & Silva, E. A. (2015). Land use-transpirt interaction modeling: A review of the literature and future research directions. Journal of Transport and Land Use, 8(3), 11–38.
   Web of Science ®Google Scholar
• Alonso. (1964). Location and land use. Cambridge, MA: Harvard University Press.
   Google Scholar
• *Anas, A. (2013a). A summary of the applications to date of RELU-TRAN, a microeconomic urban computable general equilibrium model. Environment and Planning B: Planning and Design, 40(6), 959–970. doi: 10.1068/b38206
   Web of Science ®Google Scholar
• Anas, A. (2013b). A response to the guest editorial: Economics as the science for urban modelling. Environment and Planning B: Planning and Design, 40, 955–958. doi: 10.1068/b4006c
   Web of Science ®Google Scholar
• *Anderstig, C., & Mattsson, L.-G. (1992). Appraising large-scale investments in a metropolitan transportation system. Transportation, 19(3), 267–283. doi: 10.1007/BF01099981
   Web of Science ®Google Scholar
• Arauzo-Carod, J. M., & Manjón-Antolín, M. (2004). Firm size and geographical aggregation: An empirical appraisal in industrial location. Small Business Economics, 22(3-4), 299–312. doi: 10.1023/B:SBEJ.0000022216.09083.76
   Web of Science ®Google Scholar
• de la Barra, T. (1989). Integrated land use and transport modelling. Cambridge: Cambridge University Press.
   Google Scholar
• Batty, M. (2005). Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals. Cambridge, MA: MIT Press.
   Google Scholar
• Batty, M. (2008). The size, scale, and shape of cities. Science, 319, 769–771. doi: 10.1126/science.1151419
   PubMed Web of Science ®Google Scholar
• *Batty, M., Vargas, C., Smith, D., Serras, J., Reades, J., & Johansson, A. (2013). SIMU-LACRA: Fast land-use-transportation models for the rapid assessment of urban futures. Environment and Planning Part, 40B(6), 987–1002.
   Google Scholar
• Berry, B. J., & Lamb, R. F. (1974). The delineation of urban spheres of influence: Evaluation of an interaction model. Regional Studies, 8(2), 185–190. doi: 10.1080/09595237400185171
   Web of Science ®Google Scholar
• Bertaud, A., & Malpezzi, S. (2003). The spatial distribution of population in 48 world cities: Implications for economies in transition. Center for Urban Land Economics Research, University of Wisconsin. Retrieved from http://www2.lawrence.edu/fast/finklerm/Complete%20Spatial%20Distribution%20of%20Population%20in%2050%20World%20Ci.pdf
   Google Scholar
• Bierlaire, M., de Palma, A., Hurtubia, R., & Waddell, P. (Eds.). (2015). Integrated transport & land use modelling for sustainable cities. Lausanne: EPFL Press.
   Google Scholar
• *Bonin, O., & Tomasoni, L. (2015). Evaluation of a transit-oriented development scenario in a medium-sized French city by simulation models. International Journal of Transportation, 3(1), 91–112. doi: 10.14257/ijt.2015.3.1.07
   Web of Science ®Google Scholar
• Bosredon, M., Doson, A. C., & Simmonds, D. (2009). Transport/economic/land-use model of Scotland: Land-use modeling with DELTA. In Proceedings of the 11th International conference on computers in urban planning and urban management, Hong Kong.
   Google Scholar
• Brueckner, J. K. (2001). Urban sprawl: Lessons from urban economics. Brookings-Wharton Papers on Urban Affairs, 2001(1), 65–97. doi: 10.1353/urb.2001.0003
   Google Scholar
• Brueckner, J. K., Thisse, J. F., & Zenou, Y. (1999). Why is central Paris rich and downtown Detroit poor? An amenity-based theory. European Economic Review, 43(1), 91–107. doi: 10.1016/S0014-2921(98)00019-1
   Web of Science ®Google Scholar
• te Brömmelstroët, M., Pelzer, P., & Geertman, S. (2014). Commentary. Forty years after Lee’s requiem: Are we beyond the seven sins. Environment and Planning B: Planning and Design, 41, 381–387. doi: 10.1068/b4103c
   Web of Science ®Google Scholar
• *Burgos, J. (1994). Integrated land-use and transport models in the basque country. Environment and Planning B: Planning and Design, 21(5), 603–610. doi: 10.1068/b210603
   Web of Science ®Google Scholar
• Cabrita, I., Gayda, S., Hurtubia, R., Efthymiou, D., Thomas, I., Peeters, D., … Roder, D. (2015). Integrated land use and transport microsimulation for Brussels. In M. Bierlaire, A. de Palma, R. Hurtubia, & P. Waddell (Eds.), Integrated transport and land use modelling for sustainable cities (pp. 373–412). Lausanne: Routledge/EPFL Press.
   Google Scholar
• Caruso, G., Peeters, D., Cavailhès, J., & Rounsevell, M. (2007). Spatial configurations in a Periurban city. A cellular automata based micro economic model. Regional Science and Urban Economics, 37, 542–567. doi: 10.1016/j.regsciurbeco.2007.01.005
   Web of Science ®Google Scholar
• Caruso, G., Vuidel, G., Cavailhès, J., Frankhauser, P., Peeters, D., & Thomas, I. (2011). Morphological similarities between DBM and a microeconomic model of sprawl. Journal of Geographical Systems, 13(1), 31–48. doi: 10.1007/s10109-010-0131-7
   Web of Science ®Google Scholar
• Cervero, R. (2002). Built environments and mode choice: Towards a normative framework. Transportation Research Part D: Transport and Environment, 7(4), 265–284. doi: 10.1016/S1361-9209(01)00024-4
   Web of Science ®Google Scholar
• Chakraborty, A., Wilson, B., & bin Kashem, S. (2015). The pitfalls of regional delineations in land use modeling: Implications for Mumbai region and its planners. Cities, 45, 91–103. doi: 10.1016/j.cities.2015.03.008
   Web of Science ®Google Scholar
• Cheshire, P. C., & Gornostaeve, G. (2002). Villes et regions urbaines: Des comparaisons fiables doivent reposer sur des territories comparables. Les Cahiers de l’IAURIF, 135, 13–32.
   Google Scholar
• Coombes, M. (2014). From city-region concept to boundaries for governance: The English case. Urban Studies, 51(11), 2426–2443. doi: 10.1177/0042098013493482
   Web of Science ®Google Scholar
• *Coppola, P., Ibeas, A., dell’Olio, L., & Cordera, R. (2013). LUTI model for the metropolitan area of Santander. Journal of Urban Planning and Development, 139(3), 153–165. doi: 10.1061/(ASCE)UP.1943-5444.0000146
   Web of Science ®Google Scholar
• Cörvers, F., Hensen, M., & Bongaerts, D. (2009). Delimitation and coherence of functional and administrative regions. Regional Studies, 43(1), 19–31. doi: 10.1080/00343400701654103
   Web of Science ®Google Scholar
• De Borger, B., Proost, S., & Van Dender, K. (2008). Private port pricing and public investment in port and hinterland capacity. Journal of Transport Economics and Policy (JTEP), 42(3), 527–561.
   Google Scholar
• Derycke, P. H., Huriot, J. M., & Pumain, D. (Eds.). (1996). Penser la ville. Théorie et modèles. Paris: Anthropos.
   Google Scholar
• *Di Zio, S., Montanari, A., & Staniscia, B. (2010). Simulation of urban development in the city of Rome: Framework methodology and problem solving. Journal of Transport and Land Use, 3(2), 85–105.
   Google Scholar
• Dujardin, C., Thomas, I., & Tulkens, H. (2007). Quelles frontières pour Bruxelles? Une mise à jour. Reflets et perspectives de la vie économique, 46(2–3), 155–176. doi: 10.3917/rpve.462.0155
   Google Scholar
• *Echenique, M., Flowerdew, A., Hunt, J., Mayo, T., Skidmore, I., & Simmonds, D. (1990). The MEPLAN models of bilbao, leeds and dortmund. Transport Reviews, 10(4), 309–322. doi: 10.1080/01441649008716764
   Web of Science ®Google Scholar
• *Eradus, P., Shoemakers, A., & van der Hoorn, T. (2002). Four applications of the TIGRIS model in the netherlands. Journal of Transport Geography, 10(2), 111–121. doi: 10.1016/S0966-6923(02)00004-2
   Google Scholar
• Farmer, C., & Fotheringham, A. S. (2011). Network-based functional regions. Environment and Planning A, 43, 2723–2741. doi: 10.1068/a44136
   Web of Science ®Google Scholar
• Federal Register. (2000). Standards for defining metropolitan and micropolitian statistical areas. Federal Register 65.
   Google Scholar
• Federal Register. (2002). Qualifying urban areas for Census 2000: Notices. Federal Register 67.
   Google Scholar
• Fotheringham, A. S., & Wong, D. W. (1991). The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A, 23(7), 1025–1044. doi: 10.1068/a231025
   Web of Science ®Google Scholar
• Griffith, D. A. (1983). The boundary value problem in spatial statistical analysis. Journal of Regional Science, 23(3), 377–387. doi: 10.1111/j.1467-9787.1983.tb00996.x
   PubMed Web of Science ®Google Scholar
• *Guzman, L., de la Hoz, D., & Circella, G. (2015). Evaluations of synergies from transportation policy packages using a social welfare maximization approach: A case study for Madrid, Spain. Case Studies on Transport Policy, 3, 99–110. doi: 10.1016/j.cstp.2014.07.004
   Web of Science ®Google Scholar
• Hall, P. (2007). Delineating urban territories. Is this a relevant issue? Cities and Networks in Europe: A Critical Approach of Polycentrism, Paris: John Libbey Eurotext, 3–14.
   Google Scholar
• Handy, S. L., Boarnet, M. G., Ewing, R., & Killingsworth, R. E. (2002). How the built environment affects physical activity: Views from urban planning. American Journal of Preventive Medicine, 23(2), 64–73. doi: 10.1016/S0749-3797(02)00475-0
   PubMed Web of Science ®Google Scholar
• Hohenberg, P. M., & Lees, L. H. (1986). The making of urban Europe 1000—1950. Cambridge, MA: Harvard University Press.
   Google Scholar
• *Hunt, J. (1994). Calibrating the Naples land-use and transport model. Environment and Planning B: Planning and Design, 21(5), 569–590. doi: 10.1068/b210569
   Web of Science ®Google Scholar
• Hunt, J. D., Miller, E. J., & Kriger, D. S. (2005). Current operational urban land-use transport modelling frameworks. Transport Reviews, 25(3), 329–376. doi: 10.1080/0144164052000336470
   Web of Science ®Google Scholar
• Hunt, J. D., & Simmonds, D. C. (1993). Theory and application of an integrated land use and transport modelling framework. Environment and Planning B: Planning and Design, 20(2), 221–244. doi: 10.1068/b200221
   Web of Science ®Google Scholar
• Jones, J., Peeters, D., & Thomas, I. (2015a). Is cities delineations a prerequisite for urban modelling? The example of land price determinants in Brussels. Cybergeo: Revue Européenne de Géographie, Retrieved from https://cybergeo.revues.org/26899
   Google Scholar
• Jones, J., Thomas, I., & Peeters, D. (2015b). Forecasting employment location choices by discrete choice models: A sensitivity analysis to scale and implications for LUTI models. REGION, 2(1), 67–93. doi: 10.18335/region.v2i1.63
   Google Scholar
• Jones, J. (2016). Spatial bias in LUTI models (Doctoral thesis). Presse Universitaire de Louvain. 283p.
   Google Scholar
• Kwan, M. P. (2012). The uncertain geographic context problem. Annals of the Association of American Geographers, 102(5), 958–968. doi: 10.1080/00045608.2012.687349
   Web of Science ®Google Scholar
• Lee, Jr D. B. (1973). Requiem for large-scale models. Journal of the American Institute of Planners, 39(3), 163–178. doi: 10.1080/01944367308977851
   Web of Science ®Google Scholar
• Lord, S., Frémond, M., Biltgen, R., & Gerber, P. (2015). Urban growth and land management in a context of sustainable development: Questioning the planning policies and scenarios beyond the rules. Planning Theory and Practice, 16(3), 385–406. doi: 10.1080/14649357.2015.1061140
   Web of Science ®Google Scholar
• Lowry, I. (1964). A model of metropolis (Technical Report RM-4035-RC). The RAND Corporation, California: Santa Monica.
   Google Scholar
• *Mackett, R. (1990). The systematic application of lilt model to Dortmund, Leeds and Tokyo. Transport Reviews, 10(4), 323–338. doi: 10.1080/01441649008716765
   Web of Science ®Google Scholar
• *May, A., Shepherd, S., Emberger, G., Ash, A., Zhang, X., & Paulley, N. (2005). Optimal land use transport strategies: Methodology and application to European cities. Transportation Research Record: Journal of the Transportation Research Board, 1924, 129–138. doi: 10.3141/1924-17
   Web of Science ®Google Scholar
• Nagel, K., Grether, D., Beuck, U., Chen, Y., Riser, M., & K, A. (2008). Multi-agent transport simulations and economic evaluation. Journal of Economic and Statistics, 228(2+3), 173–194.
   Google Scholar
• Nguyen-Luong, D. (2008). An integrated land use-transport model for the Paris region (SIMAURIF): Ten lessons learned after four years of development. Retrieved from http://web.mit.edu/11.521/proj08/readings/D_Mes_documentsDNLpredit3ERSA_2008article_SIMAURIF_10_lessons.pdf
   Google Scholar
• Nicolai, T., & Nagel, K. (2015). Integration of agent-based transport and land use models. In M. Bierlaire, A. de Palma, R. Hurtubia, & P. Waddell (Eds.), Integrated transport & land use modelling for sustainable cities (pp. 333–353). Lausanne: EPFL Press.
   Google Scholar
• Noth, M., Borning, A., & Waddell, P. (2003). An extensible modular architecture for simulating urban development, transportation and environmental impact. Computer, Environment and Urban Systems, 27, 181–203. doi: 10.1016/S0198-9715(01)00030-8
   Google Scholar
• NUREC – Network on Urban Research in the European Union. (1994). Atlas of agglomerations in the European Union, Volumes I–III. Duisburg: NUREC Edition.
   Google Scholar
• Openshaw, S. (1984). Ecological fallacies and the analysis of areal census data. Environment and Planning A, 16(1), 17–31. doi: 10.1068/a160017
   PubMed Web of Science ®Google Scholar
• de Palma, A., Picard, N., & Motamedi, K. (2015). Application of UrbanSim in Paris (Ile-de-France) case study. In M. Bierlaire, A. de Palma, R. Hurtu- bia, & P. Waddell (Eds.), Integrated transport and land use modelling for sustainable cities (pp. 413–460). Lausanne: Routledge/EPFL Press.
   Google Scholar
• Parr, J. B. (2007). Spatial definition of the city: Four perspectives. Urban Studies, 44(2), 381–392. doi: 10.1080/00420980601075059
   Web of Science ®Google Scholar
• *Patterson, Z., & Bierlaire, M. (2010). Development of prototypes UrbanSim models. Environment and Planning B: Planning and Design, 37(2), 344–366. doi: 10.1068/b35107
   Web of Science ®Google Scholar
• *Patterson, Z., Kryvobokov, M., Marchal, F., & Bierlaire, M. (2010). Disaggregate models with aggregate data: Two UrbanSim applications. Journal of Transport and Land Use, 3(2), 5–37.
   Google Scholar
• Paulley, N. J., & Webster, F. V. (1991). Overview of an international study to compare models and evaluate land use and transport policies. Transport Reviews, 11(3), 197–222. doi: 10.1080/01441649108716785
   Web of Science ®Google Scholar
• *Pozoukidou, G. (2014). Land use and transport interaction models: Application perspectives for the city of Thessaloniki. Spatium International Review, 32, 7–14. doi: 10.2298/SPAT1432007P
   Google Scholar
• Pumain, D. (Eds.). (2006). Hierarchy in natural and social sciences. Dordrecht: Springer.
   Google Scholar
• Raciti, S. M., Hutyra, L. R., Rao, P., & Finzi, A. C. (2012). Inconsistent definitions of “urban” result in different conclusions about the size of urban carbon and nitrogen stocks. Ecological Applications, 22(3), 1015–1035. doi: 10.1890/11-1250.1
   PubMed Web of Science ®Google Scholar
• Saujot, M., de Lapparent, M., Arnaud, E., & Prados, E. (2016). Making land use–transport models operational tools for planning: From a top-down to an end-user approach. Transport Policy, 49, 20–29. doi: 10.1016/j.tranpol.2016.03.005
   Web of Science ®Google Scholar
• Schirmer, P., Zollig Renner, C., Mülcer, K., & Axhausen, K. (2015). Land use and transport microsimulation in the canton of Zurich using UrbanSim. In M. Bierlaire, A. de Palma, R. Hurtubia, & P. Waddell (Eds.), Integrated transport and land use modelling for sustainable cities (pp. 485–536). Lausanne: Routledge/EPFL Press.
   Google Scholar
• Simmonds, D., Waddell, P., & Wegener, M. (2013). Equilibrium versus dynamics in urban modeling. Environment and Planning B: Planning and Design, 40, 1051–1070. doi: 10.1068/b38208
   Web of Science ®Google Scholar
• Slocum, T. A., McMaster, R. B., Kessler, F. C., & Howard, H. H. (2005). Thematic cartography and geographic visualization (2nd ed). Upper Saddle River, NJ: Prentice-Hall Series in Geographic Information Science.
   Google Scholar
• Tannier, C., & Thomas, I. (2013). Defining and characterising urban boundaries: A fractal analysis of theoretical and real Belgian cities. Computers, Environment and Urban Systems, 41, 234–248. doi: 10.1016/j.compenvurbsys.2013.07.003
   Web of Science ®Google Scholar
• Thomas, I., Cotteels, C., Jones, J., & Peeters, D. (2013). “Revisiting the Extension of the Brussels Urban Agglomeration: New Methods, New Data … New Results?” Belgeo [online] 1–2. Retrieved from: http://belgeo.revues.org/6074.
   Google Scholar
• *Vold, A. (2005). Optimal land use transport planning for the greater Oslo area. Transportation Research Part A, 39(6), 548–565.
   Google Scholar
• Waddell, P. (2000). A behavioural simulation model for metropolitan policy analysis and planning: Residential location and housing market components of UrbanSim. Environment and Planning B: Planning and Design, 27, 247–263. doi: 10.1068/b2627
   Web of Science ®Google Scholar
• Waddell, P. (2011). Integrated land use and transportation planning and modelling: Addressing challenges in research and practice. Transport Reviews, 31(2), 209–229. doi: 10.1080/01441647.2010.525671
   Web of Science ®Google Scholar
• Waddell, P., Borning, A., Noth, M., Freier, N., Becke, M., & Ulfarsson, G. (2003). Microsimulation of urban development and location choices: Design and implementation of UrbanSim. Networks and Spatial Economics, 3(1), 43–67. doi: 10.1023/A:1022049000877
   Web of Science ®Google Scholar
• *Wagner, P., & Wegener, M. (2007). Urban land use, transport and environment models: Experience with an integrated microscopic approach. disP, 170(3), 45–56.
   Google Scholar
• *Wang, Y., Monzon, A., & Di Ciommo, F. (2015). Assessing the accessibility impact of transport policy by land-use and transport interaction mode - the case of Madrid. Computers, Environment and Urban Systems, 49, 126–135. doi: 10.1016/j.compenvurbsys.2014.03.005
   Web of Science ®Google Scholar
• Webster, F. V., & Dasgupta, M. (1991). Land Use and Transport Interactions: Report of the ISGLUTI Study. CONTRACTOR REPORT, 295, ISSN: 0266-7045;, (295).
   Google Scholar
• Wegener, M. (2011). From macro to micro: How much micro is too much? Transport Reviews, 31(2), 161–177. doi: 10.1080/01441647.2010.532883
   Web of Science ®Google Scholar
• Wegener, M., Gand, F., & Vannahme, M. (1986). The time scale of urban change. In B. Hutchinson, & M. Batty (Eds.), Advance in urban system modeling (pp. 175–197). North-Holland: Amsterdam.
   Google Scholar
• *Wegener, M., Mackett, R., & Simmonds, D. (1991). One city, three models: Comparison of land-use/transport policy simulation models for Dortmund. Transport Reviews, 11, 107–129. doi: 10.1080/01441649108716778
   Web of Science ®Google Scholar
• *Zondag, B., Bok, M., Geurs, K., & Molenwijk, E. (2015). Accessibility modeling and evaluation: The TIGRIS XL land-use and transport interaction model for the netherlands. Computers, Environment and Urban Systems, 49, 115–125. doi: 10.1016/j.compenvurbsys.2014.06.001
   Web of Science ®Google Scholar
• Note: the papers reviewed in the meta-analysis are preceded by an asterisk (*).
   Google Scholar