Atlas of Hinterworlds

There is a long tradition in conventional urban geography of measuring the hinterlands of towns and cities. The concept of hinterworld was created to describe the worldwide pattern of connections between a given world city and other world cities under conditions of contemporary globalisation.

The concept was introduced by Peter J. Taylor in GaWC Research Bulletin 17 and is refined in Research Bulletin 89. Examples of its use can be found in Research Bulletin 58. The maps in this atlas are all based on the methodology presented in Research Bulletin 89 using the city/global service firms data for 2000 described in Research Bulletin 43.

References

RB 17: Taylor, P.J. (2001) Urban hinterworlds: geographies of corporate service provision under conditions of contemporary globalisation, Geography, 86 (1), 51-60.

RB 89: Taylor, P.J. and Walker, D.R.F. (2004) Urban hinterworlds revisited, Geography, 89 (2), 145-151.

RB 58: Taylor, P.J. (2001) West Asian/North African cities in the world city network: a global analysis of dependence, integration and autonomy, The Arab World Geographer, 4 (3), 146-159.

RB 43: Taylor, P.J., Catalano, G. and Walker, D.R.F. (2002) Measurement of the world city network, Urban Studies, 39 (13), 2367-2376.


Method

In summary the method is as follows:

  1. We have selected the top 123 cities in terms of global network connectivity and measure the connectivity between each city and the other 122 cities.
  2. These individual city inter-linkages closely reflect the overall pattern of global network connectivity (i.e. every city is most connected to either London or New York).
  3. For each city we regress its connectivities with other cities against their global network connectivity.
  4. We compute the residuals from the regression line and these are interpreted as a city being either over-linked (positive residuals) to another city (relative to its global network connectivity) or under-linked (negative residuals). It is these residuals that are mapped to show a city’s hinterworld.
  5. The standard error of estimate indicates how close the scatter of points is to the line: it is interpreted in this context of indicating the specificity of a city’s hinterworld (i.e. zero would indicate a hinterworld exactly the same as the global network connectivity pattern and therefore the higher the standard error the more unlike a city’s hinterworld is from the general pattern of global connectivities. In the analyses, standard errors range from 0.013 (Madrid) to 0.067 (Indianapolis)).
  6. The same ordinal scale is used for all maps to facilitate simple comparisons between hinterworlds. An initial discussion of comparisons can be found in chapter 5 of P.J. Taylor (2004) World City Network: A Global Urban Analysis (London: Routledge).
  7. The maps are in cartogram form, which places cities in their approximate relative geographical positions (city codes are listed at the bottom of this page).

Atlas maps

The result is an atlas containing maps of hinterworlds for 123 cities in the year 2000. These are presented alphabetically below. The cities most and least linked to a given city are listed along with the measure of specificity.


City codes

AB Abu Dhabi; AD Adelaide; AK Auckland; AM Amsterdam; AS Athens; AT Atlanta; AN Antwerp; BA Buenos Aires; BB Brisbane; BC Barcelona; BD Budapest; BG Bogota; BJ Beijing; BK Bangkok; BL Berlin; BM Birmingham; BN Bangalore; BR Brussels; BS Boston; BT Beirut; BU Bucharest; BV Bratislava; CA Cairo; CC Calcutta; CG Calgary; CH Chicago; CL Charlotte; CN Chennai; CO Cologne; CP Copenhagen; CR Caracas; CS Casablanca; CT Cape Town; CV Cleveland; DA Dallas; DB Dublin; DS Dusseldorf; DT Detroit; DU Dubai; DV Denver; FR Frankfurt; GN Geneva; GZ Guangzhou; HB Hamburg; HC Ho Chi Minh City; HK Hong Kong; HL Helsinki; HM Hamilton(Bermuda); HS Houston; IN Indianapolis; IS Istanbul; JB Johannesburg; JD Jeddah; JK Jakarta; KC Kansas City; KL Kuala Lumpur; KR Karachi; KU Kuwait; KV Kiev; LA Los Angeles; LB Lisbon; LG Lagos; LM Lima; LN London; LX Luxembourg; LY Lyon; MB Mumbai; MC Manchester; MD Madrid; ME Melbourne; MI Miami; ML Milan; MM Manama; MN Manila; MP Minneapolis; MS Moscow; MT Montreal; MU Munich; MV Montevideo; MX Mexico City; NC Nicosia; ND New Delhi; NR Nairobi; NS Nassau; NY New York; OS Oslo; PA Paris; PB Pittsburgh; PD Portland; PE Perth; PH Philadelphia; PL Port Louis; PN Panama City; PR Prague; QU Quito; RJ Rio de Janeiro; RM Rome; RT Rotterdam; RY Riyadh; SA Santiago; SD San Diego; SE Seattle; SF San Francisco; SG Singapore; SH Shanghai; SK Stockholm; SL St Louis; SO Sofia; SP Sao Paulo; ST Stuttgart; SU Seoul; SY Sydney; TA Tel Aviv; TP Taipei; TR Toronto; TY Tokyo; VI Vienna; VN Vancouver; WC Washington DC; WL Wellington; WS Warsaw; ZG Zagreb; ZU Zurich (see also map of city codes below).

Cartogram showing two-letter city codes for 123 world cities in their relative geographical position