Commuting to school: A new spatial interaction modelling framework

Technologies for Migration and Commuting Analysis: Spatial Interaction Data Applications

Volumn , Issue , 2010, Pages 294-315

  Harland, Kirk ^a   Stillwell, John ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84900094051     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-61520-755-8.ch016     Document Type: Chapter

References (55)

1. Birkin, M., Clarke, G., Clarke, M., & Culf, R. (2004). Using Spatial Models to Solve Difficult Retail Location Problems (pp. 35-54). Chichester, UK: John Wiley and Sons.
2. Davis, L. (1991). Handbook of Genetic Algorithms. New York: Van Nostrand Reinhold.
3. DCSF. (2008, March 3). Secondary Applications and Offers - National Offer Day. Department for Children, Schools and Families, London. Retrieved from http://www.dfes.gov.uk/rsgateway/DB/STA/t000791/AdmissionsStatisticalReport-Non-nationalStatsRevised.pdf
4. Demie, F. (2002). Pupil mobility and education in schools: an empirical analysis. Educational Research, 44(2), 197-215. doi:10.1080/00131880210135304
5. DfES. (2007). School Admissions Code. London: The Stationary Office.
6. Diplock, G. J. (1996). The Application of Evolutionary Computing Techniques to Spatial Interaction Modelling. Ph.D. Thesis, School of Geography, University of Leeds, Leeds.
7. Diplock, G. J. (1998). Building new spatial interaction models by using genetic programming and a supercomputer. Environment & Planning A, 30(10), 1893-1904. doi:10.1068/a301893
8. Dobson, J., Henthorne, K., & Lynas, Z. (2000). Pupil Mobility in Schools (Final Report). Tech. rep. London: Department of Geography, University College London.
9. Dobson, J., & Pooley, C. E. (2004). Mobility, Equality, Diversity: A Study of Pupil Mobility in the Secondary School System. London: Technical Report, Department of Geography, University College London.
10. ERA. (1988). Education Reform Act. Her Majesty's Stationary Office and Queen's Printer of Acts of Parliament.
11. Ewens, D. (2005). The National and London Pupil Datasets: An introductory briefing for researchers and research users. DMAG Briefing 2005/8. London: Data Management and Analysis Group, Greater London Authority, City Hall.
12. Eyre, H. (1999). Measuring the Performance of Spatial Interaction Models in Practice. Ph.D. Thesis, School of Geography, University of Leeds, Leeds.
13. Flake, G. W. (2001). The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems and Adaption (4th ed.). Cambridge, MA: MIT Press.
14. Foot, D. (1981). Operational Urban Models. London: Methuen.
15. Fotheringham, A. S. (1983). A new set of spatial interaction models: the theory of competing destinations. Environment & Planning A, 15(1), 15-36. doi:10.1068/a150015
16. Fotheringham, A. S., & Trew, R. (1993). Chain image and store-choice modelling: the effects of income and race. Environment & Planning A, 25, 179-196. doi:10.1068/a250179
17. GAD. (2004). Population projections by the Government Actuary, 2004-based Principal Projection for England. Retrieved from http://www.gad.gov.uk/Demography_Data/Population/Index.asp?y=2004&v=Principal&dataCountry= england&chkDataTable=yy_singyear&subTable =Perform+search
18. Gereluk, D. (2005). Communities in a changing educational environment. British Journal of Educational Studies, 53(1), 4-18. doi:10.1111/j.1467-8527.2005.00280.x
19. Gibson, A., & Asthana, S. (2000a). Local markets and the polarization of public-sector schools in England and Wales. Transactions of the Institute of British Geographers, 25(3), 303-319. doi:10.1111/j.0020-2754.2000.00303.x
20. Gibson, A., & Asthana, S. (2000b). What's in a number? Commentary on Gorard and Fitz's Investigating the determinants of segregation between schools. Research Papers in Education, 15(2), 133-153. doi:10.1080/026715200402461
21. Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimisation and Machine Learning. Reading, MA: Addison Wesley.
22. Gorard, S. (1999). 'Well. That about wraps it up for school choice research': a state of the art review. School Leadership & Management, 19, 25-47. doi:10.1080/13632439969320
23. Gorard, S. (2000). Here we go again: a reply to 'what's in a number?' by Gibson and Asthana. Research Papers in Education, 15(2), 155-162. doi:10.1080/026715200402470
24. Gorard, S. (2004). Comments on 'Modelling social segregation' by Goldstein and Noden. Oxford Review of Education, 30(3), 435-440. doi:10.1080/0305498042000260520
25. Gould, P. (1972). Pedagogic Review. Annals of the Association of American Geographers. Association of American Geographers, 62(4), 689-700. doi:10.1111/j.1467-8306.1972.tb00896.x
26. Harland, K., & Stillwell, J. (2007a). Commuting to School in Leeds: How useful is the PLASC? Working Paper 07/02, School of Geography, University of Leeds, Leeds.
27. Harland, K., & Stillwell, J. (2007b). Evidence of ethnic minority dispersal in Leeds. The Yorkshire and Humber Regional Review, 17(2), 21-23.
28. Harris, R., & Johnston, R. (2008). Primary schools, markets and choice: studying polarization and the core catchment. Applied Spatial Analysis and Policy, 1(1), 59-84. doi:10.1007/s12061-008-9002-8
29. Heppenstall, A. J. (2004). Application of Hybrid Intelligent Agents to Modelling a Dynamic, Locally Interacting Retail Market. Unpublished PhD Thesis, School of Geography, University of Leeds, Leeds.
30. Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, MI: The University of Michigan Press.
31. Huff, D. L. (1961). A note on the limitations of intra-urban gravity models. Land Economics, 38, 64-66. doi:10.2307/3144725
32. Johnston, R., Burgess, S., Wilson, D., & Harris, R. (2006). School and residential ethnic segregation: an analysis of variation across England's Local Education Authorities. Regional Studies, 40(9), 973-990. doi:10.1080/00343400601047390
33. Johnston, R., Wilson, D., & Burgess, S. (2004). School segregation in multiethnic England. Ethnicities, 4(2), 237-265. doi:10.1177/1468796804042605
34. Johnston, R., Wilson, D., & Burgess, S. (2005). England's multiethnic educational system? A classification of secondary schools. Environment & Planning A, 37, 45-62. doi:10.1068/a36298
35. Jones, P., & Elias, P. (2006). Administrative data as a research resource: a selected audit. Economic & Social Research Council Regional Review Board Report 43/06. Warwick Institute for Employment Research, University of Warwick, Kenilworth.
36. Knudsen, D. C., & Fotheringham, A. S. (1982). Matrix comparison, goodness of fit, and spatial interaction modelling. International Regional Science Review, 10, 127-148. doi:10.1177/016001768601000203
37. McCarthy, P. S. (1980). A study of the importance of generalised attributes in shopping choice behaviour. Environment & Planning A, 12, 1269-1286. doi:10.1068/a121269
38. Openshaw, S. (1983). From data crunching to model crunching: the dawn of a new era. Environment & Planning A, 15(8), 1011-1012.
39. Openshaw, S. (1984). The Modifiable Areal Unit Problem. Norwich, MA: Geo Books.
40. Openshaw, S. (1996). Developing GIS-relevant zone-based spatial analysis methods. In Longley, P., & Batty, M. (Eds.), Spatial Analysis: Modelling in a GIS Environment (pp. 55-73). Cambridge, UK: GeoInformation International.
41. Openshaw, S. (1998). Neural network, genetic, and fuzzy logic models of spatial interaction. Environment & Planning A, 30(10), 1857-1872. doi:10.1068/a301857
42. Oppewal, H., Timmermans, H. J. P., & Louviere, J. J. (1997). Modelling the effects of shopping centre size and store variety on consumer choice behaviour. Environment & Planning A, 29, 1073-1090. doi:10.1068/a291073
43. Parsons, E., Chalkley, B., & Jones, A. (2000). School catchments and pupil movements: a case study in parental choice. Educational Studies, 26, 33-48. doi:10.1080/03055690097727
44. Pooler, J. (1994a). An extended family of spatial interaction models. Progress in Human Geography, 18, 17-39. doi:10.1177/030913259401800102
45. Pooley, C., Turnbull, J., & Adams, M. (2005). The journey to school in Britain since the 1940s: continuity and change. Area, 37(1), 43-53. doi:10.1111/j.1475-4762.2005.00605.x
46. Roy, J., & Thill, J.-C. (2004). Spatial interaction modelling. Papers in Regional Science, 83(1), 339-361. doi:10.1007/s10110-003-0189-4
47. Senior, M. L. (1979). From gravity modelling to entropy maximizing: a pedagogic guide. Progress in Human Geography, 3(2), 175-210.
48. Stouffer, S. A. (1940). Intervening opportunities: a theory relating mobility and distance. American Sociological Review, 5, 845-867. doi:10.2307/2084520
49. Thomas, R. W., & Huggett, R. J. (1980). Modelling in Geography: A Mathematical Approach. London: Harper and Row.
50. Vickers, D., Rees, P., & Birkin, M. (2005). Creating the National classification of Census Output Areas: data, methods and results. Working Paper 05/02, School of Geography, University of Leeds, Leeds.
51. Wilson, A. G. (1967). A statistical theory of spatial distribution models. Journal of Transportation Research, 1, 253-269. doi:10.1016/0041-1647(67)90035-4
52. Wilson, A. G. (1970). Entropy in Urban and Regional Modelling. London: Pion.
53. Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning, 3, 1-32. doi:10.1068/a030001
54. Wilson, A. G., & Bennett, R. J. (1985). Mathematical Methods in Human Geography and Planning. Chichester: John Wiley & Sons.
55. Wilson, J. (2009). Exploring the dimensions of school change during primary education in England. In Stillwell, J., Coast, E., & Kneale, D. (Eds.), Fertility, Living Arrangements, Care and Mobility Understanding Population Trends and Processes (Vol. 1, pp. 211-237). Dordrecht, The Netherlands: Springer. doi:10.1007/978-1-4020-9682-2_11