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Volumn 29, Issue 1, 2008, Pages 98-114

The orderliness hypothesis: The correlation of rail and housing development in London

Author keywords

[No Author keywords available]

Indexed keywords

HOUSING MANAGEMENT; RAILWAY TRANSPORT; TOWN PLANNING; TRANSPORTATION DEVELOPMENT; TRANSPORTATION HISTORY;

EID: 57749131155     PISSN: 00225266     EISSN: None     Source Type: Journal    
DOI: 10.7227/TJTH.29.1.8     Document Type: Article
Times cited : (12)

References (38)
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  • 7
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    • Zipfs law for cities: An explanation
    • August 739-67. Zipfs law would provide economic support for connecting the largest places first (if costs were equal), as those places are notably larger than smaller places.
    • Zipf's law, or the rank size rule, suggests that the second largest city is half the size of the largest, and the third largest city is one-third the size, and so on. This distribution of city sizes has been found in a number of cases, and there are a few theories as to why it might be the case, for instance Xavier Gabaix, 'Zipf's law for cities: an explanation', Quarterly Journal of Economics, August (1999), 739-67. Zipf's law would provide economic support for connecting the largest places first (if costs were equal), as those places are notably larger than smaller places.
    • (1999) Quarterly Journal of Economics
    • Gabaix, X.1
  • 9
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    • ESRC report R000239586, accessed 6 February 2007
    • Mark Casson, The Evolution of the British Railway Network, 1825-1914, ESRC report R000239586, http://www.esrcsocietytoday.ac.uk/ESRCInfoCentre/ ViewAwardPage. aspx?AwardId=1782 (accessed 6 February 2007).
    • The Evolution of the British Railway Network, 1825-1914
    • Casson, M.1
  • 11
    • 85036811186 scopus 로고    scopus 로고
    • Vision of Britain
    • London
    • According to the 1831 UK census, the area that is now London had 1.099 million people living there. Vision of Britain, A Vision of Britain through Time (London, 2006), http://www.visionofbritain.org.uk/index.jsp (accessed October 2006).
    • (2006) A Vision of Britain Through Time
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    • Neighbors, networks, and the development of transport systems: Explaining the diffusion of turnpike trusts in eighteenth-century England
    • Dan Bogart, 'Neighbors, networks, and the development of transport systems: explaining the diffusion of turnpike trusts in eighteenth-century England', Journal of Urban Economics 61 (2007), 238-62.
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  • 14
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  • 15
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    • The 'box' keeping railway lines out of the centre of London was penetrated at Victoria, Charing Cross, and the extension from Blackfriars to Farringdon.
    • The 'box' keeping railway lines out of the centre of London was penetrated at Victoria, Charing Cross, and the extension from Blackfriars to Farringdon.
  • 16
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    • The City of London, the original centre of Greater London, is now an administrative district within London.
  • 17
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    • Accounting in the early years of the Metropolitan Railway, especially prior to the Regulation of Railways Act of 1868, was a bit dodgy, and dividends were reportedly paid out of capital. To quote Jackson in London's Metropolitan Railway, p. 38, describing the era of 1865, 'It was... a house of cards, a precarious game in which the level of dividend was kept up at all costs, by finding money from somewhere, with no regard to sound accounting or financial rectitude.'
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    • Leicester, This large number of Bills involves duplication both within firms-lines proposed one year and not approved might be proposed again with minor modifications-and between companies-substantially the same line proposed by more than one company.
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    • (1978) The Railway in England and Wales, 1830-1914 I, the System and Its Working , pp. 121
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    • Future analysis should attempt to obtain the density of opportunities (e.g. employment) to examine the strength of correlation of station location with the non-home end of trips. It may be possible through use of historical GIS data to develop surrogate indicators for employment or commercial activity.
    • Future analysis should attempt to obtain the density of opportunities (e.g. employment) to examine the strength of correlation of station location with the non-home end of trips. It may be possible through use of historical GIS data to develop surrogate indicators for employment or commercial activity.
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    • 2 where x and y are the two variables to be correlated and x̄ and ȳ are the expected values of those two variables.
    • 2 where x and y are the two variables to be correlated and x̄ and ȳ are the expected values of those two variables.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.