Skip to main content
Log in

All access: a micro-level case study on the secondary center of Berlin (1871–1936)

  • Original Paper
  • Published:
The Annals of Regional Science Aims and scope Submit manuscript

Abstract

In an empirical analysis, I show that in the case of Berlin, Germany (1871–1936), the emergence of the second CBD during the first half of the past century was largely driven by market access generated by rail-based public transport. By applying a multistep measure of accessibility, it can be shown that while the city brought-up several economic centers simultaneously, the area around the Kurfürstendamm revealed a strong initial advantage leading to a rapid clustering of economic activity that consisted even decades after this advantage had vanished (hysteresis effect).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Notes

  1. Muller (2004) explains how urban spatial structure may be attributed to transport eras.

  2. For an in depth analysis of the effects of this unusually high density and triggered shifts of market forces see Ahlfeldt and Wendland (2013). Figure 12 shows how the population density within the old center changed drastically up to 1936.

  3. Car usage was, in general, only affordable to high-income families and very few firms resulting in a relative small number of about 77,000 privately used cars and about 28,000 commercially used trucks in 1936, which shows the small impact on general accessibility patterns across the city (Statistical Yearbook of Berlin 1936).

  4. For all following arguments, relevant information and network plans can be found at http://www.bahnstrecken.de/indexf.htm; http://www.bahnstrecken.de/bse.htm; http://berlineruntergrundbahn.de/; www.stadtschnellbahn-berlin.de.

  5. Subcenters were identified by Lipmann (1933). Each one is represented by the one business block that demonstrated the strongest development in terms of land values and railway potential up until 1936.

  6. In order to represent the CBD’s performance, the same strategy was applied as for the representation of subcenters. The one business block with the best performance regarding its land value and railway potentiality until 1936 was chosen.

    Fig. 6
    figure 6

    Kurfürstendamm versus Historical CBD. Notes: Indices represent ratios of Kudamm values to the respective values in the historical CBD

  7. Up until the beginning of the 1880s, most parts of the Kudamm area were still not developed and the land was mainly of agricultural use, which implied marginal land values (Bohm 1980; Müller 1881–1910).

  8. Off course, Breitscheidplatz also exhibited a certain prestige from a town planning perspective. However, Wittenbergplatz, much closer to the high-priced areas in 1890, had similar preconditions.

References

  • Ahlfeldt GM (2011) If Alonso was right: modeling accessibility and explaining the residential land gradient. J Reg Sci 51:318–338

    Article  Google Scholar 

  • Ahlfeldt GM, Wendland N (2009) Looming stations: valuing transport innovations in historical context. Econ Lett 105(1):97–99. doi:10.1016/j.econlet.2009.06.010

    Article  Google Scholar 

  • Ahlfeldt GM, Wendland N (2011) Fifty years of urban accessibility: the impact of urban railway network on the land gradient in Berlin 1890–1936. Reg Sci Urban Econ 41(2):77–88

    Article  Google Scholar 

  • Ahlfeldt GM, Wendland N (2013) How polycentric is a monocentric city? Centers, spillovers and hysteresis. J Econ Geogr 13(1):53–83. doi:10.1093/jeg/lbs013

    Article  Google Scholar 

  • Alonso W (1964) Location and land use: toward a general theory of land rent. Harvard University Press, Cambridge, MA

    Book  Google Scholar 

  • Anas A, Kim I (1996) General equilibrium models of polycentric urban land use with endogenous congestion and job agglomeration. J Urban Econ 40(2):232–256

    Article  Google Scholar 

  • Aust B (Cartographer) (1986) Die Städtebauliche Entwicklung Berlins

  • Bohm E (1980) Kurfürstendamm. Entstehung Und Erste Entwicklung. In: Ribbe W (ed) Von Der Residenz Zur City. 275 Jahre Charlottenburg. Colloquium Verlag, Berlin

    Google Scholar 

  • Borchert F, Starck T, Götz G, Müller H (1987) Berlin und seine S-Bahn. Transpress VEB Verlag für Verkehrswesen, Berlin

    Google Scholar 

  • Bowes DR, Ihlanfeldt KR (2001) Identifying the impacts of rail transit stations on residential property values. J Urban Econ 50(1):1–25

    Article  Google Scholar 

  • Crafts N (2005) Market potential in British Regions, 1871–1931. Reg Stud 39(9):1159–1166

    Article  Google Scholar 

  • Elkins TH, Hofmeister B (1988) Berlin: the spatial structure of a divided city. Methuen, London

    Google Scholar 

  • Erbe M (1987) Berlin Im Kaiserreich. In: Ribbe W (ed) Geschichte Berlins. Verlag C. H. Beck, Berlin

    Google Scholar 

  • Fujita M, Ogawa H (1982) Multiple equilibria and structural transition of non-monocentric urban configurations. Reg Sci Urban Econ 12(2):161–196

    Article  Google Scholar 

  • Fujita M, Krugman P, Venables AJ (1999) The spatial economy: cities, regions, and international trade. MIT Press, Cambridge

    Google Scholar 

  • Gatzlaff DH, Smith MT (1993) The impact of the miami metrorail on the value of residences near station locations. Land Econ 69(1):54–66

    Article  Google Scholar 

  • Gibbons S, Machin S (2005) Valuing rail access using transport innovations. J Urban Econ 57(1):148–169

    Article  Google Scholar 

  • Giuliano G (2004) Land use impacts of transportation investments: highway and transit. In: Hanson S (ed) The geography of urban transportation, 3rd edn. Guildord Press, New York

    Google Scholar 

  • Giuliano G, Small K (1999) The determinants of growth of employment subcenters. J Transp Geogr 7:189–201

  • Grass RG (1992) The estimation of residential property values around transit station sites in Washington, DC. J Econ Finance 16(2):139–146

    Article  Google Scholar 

  • Halvorsen R, Palmquist R (1980) The interpretation of dummy variables in semilogarithmic equations. Am Econ Rev 70(3):474–475

    Google Scholar 

  • Harris CD (1954) The market as a factor in the localization of industry in the United States. Ann Assoc Am Geogr 44(4):315–348

    Google Scholar 

  • Heikkila E, Gordon P, Kim JI, Peiser RB, Richardson HW, Dale-Johnson D (1989) What happened to the CBD-distance gradient? Land values in a polycentric city. Environ Plan 21(2):221–232

    Article  Google Scholar 

  • Heineberg H (1977) Zentren in West- und Ost-Berlin. Untersuchungen zum Problem der Erfassung und Bewertung großstädtischer funktionaler Zentrenausstattungen in beiden Wirtschafts- und Gesellschaftssystemen Deutschlands. Schöningh Verlag, Paderborn

  • Hofmeister B (1990) Berlin (West). Eine Geographische Strukturanalyse Der Zwölf Westlichen Bezirke. Wissenschaftliche Buchgesellschaft, Darmstadt

    Google Scholar 

  • Kalweit F (1928) Die Baustellenwerte in Berlin. Ermo Verlagsgesellschaft, Berlin

    Google Scholar 

  • Kalweit F (1936) Die Baustellenwerte in Berlin. Carl Heymanns Verlag, Berlin

    Google Scholar 

  • Keeble D, Owens PL, Thompson C (1982) Regional accessibility and economic potential in the European community. Reg Stud 16(6):419–431

    Article  Google Scholar 

  • Kennedy PE (1981) Estimation with correctly interpreted dummy variables in semilogarithmic equations. Am Econ Rev 71(4):801–801

    Google Scholar 

  • Krause R (1958) Die Berliner City. Frühere Entwicklung/ Gegenwärtige Situation/ Mögliche Perspektiven. Dissertation der Freien Universität Berlin, Berlin

    Google Scholar 

  • Krugman P (1996) The self-organizing economy. Blackwell, Cambridge

    Google Scholar 

  • Leyden F (1933) Groß-Berlin. Geographie Der Weltstadt. Ferdinand Hirt, Breslau

    Google Scholar 

  • Lipmann W (1933) Der Standort Des Einzelhandels. Dissertation, Berlin

    Google Scholar 

  • Louis H (1936) Die Geographische Gliederung Von Groß-Berlin. Engelhorns Nachf, Stuttgart

    Google Scholar 

  • Lucas RE Jr, Rossi-Hansberg E (2002) On the internal structure of cities. Econometrica 70(4):1445–1476

    Article  Google Scholar 

  • McMillen DP, McDonald J (2004) Reaction of house prices to a new rapid transit line: Chicago’s Midway Line, 1983–1999. Real Estate Econ 32(3):463–486

    Article  Google Scholar 

  • McDonald JF (1987) The identification of urban employment subcenters. J Urban Econ 21(2):242–258

    Article  Google Scholar 

  • McMillen DP (1996) One hundred fifty years of land values in Chicago: a nonparametric approach. J Urban Econ 40(1):100–124

    Article  Google Scholar 

  • Mills ES (1972) Studies in the structure of the urban economy. Johns Hopkins Press, Baltimore

    Google Scholar 

  • Müller G (Cartographer) (1881–1910) Karte Zur Berechnung Des Grund- Und Bodenwerthes in Berlin

  • Müller G (Cartographer) (1890–1910). Karte Zur Berechnung Des Grund- Und Bodenwerthes in Berlin

  • Muth RF (1969) Cities and housing: the spatial pattern of urban residential land use. University of Chicago Press, Chicago

    Google Scholar 

  • Muller PO (2004) Transportation and urban form in the spatial evolution of the American metropolis. In: Hanson S (ed) The geography of urban transportation, 3rd edn. Guildord Press, New York

    Google Scholar 

  • Senatsverwaltung für Stadtentwicklung Berlin (Cartographer) (2007) Reale Nutzung Der Bebauten Flächen

  • Wu F (2000) Modelling intrametropolitan location of foreign investment firms in a Chinese city. Urban Stud 37(13):2441–2464

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicolai Wendland.

Data appendix

Data appendix

The data collection and preparation involved various processes. The first step consisted of properly defining the areas of business use for our year of reference in 1936. A detailed map (Aust 1986), showing the relevant parts of Berlin and indicating the corresponding land use for each built-up block, was consulted. The information was extracted by digitally processing the map and assigning the relevant information to Berlin’s official block structure of 2006. Standard GIS software was able to provide feasible methods in order to gain reliable results. Consulting historical sources about the economic structure of the city (Hofmeister 1990; Leyden 1933; Lipmann 1933; Louis 1936) allowed for feasibly defining three areas, which represent the core regions of economic activity within the research area (Fig. 11). Due to its spatial and historical significance, the Kaiser–Wilhelm–Gedächtniskirche represents the center of the very core region and, extended about 700 m the east to Wittenbergplatz (location of the KaDeWe) and 700 m to the west, forms Area 1. The second region is also comprised of the highly vivid Hardenbergstrasse toward the Technical University in the north, Olivaer Platz in the west and Nollendorfplatz in the east. The third area is represented by a wider range of what is still considered as belonging to the center and also includes the shopping area along Wilmersdorfer Strasse (Fig. 11).

The corresponding land values had to be collected from two different sources. Müller (1881–1910) provided detailed maps indicating values on block and house level for a wide area of the city’s contemporary boundaries. The collected values are restricted to formerly identified business blocks, and therefore, other land uses and values were excluded, except those that switched to commercial use during the course of the observation. In order to determine a representative land value for each area used for business-related purposes, the arithmetic average of all values being located within that area was assigned.

Kalweit (1928, 1936) chooses a different form to present the data. Based on a complete street index of Berlin, he assigned the minimum and maximum values to each street and therefore provides slightly less detailed data compared to Müller. Since business blocks are assumed to represent a higher value than residential blocks it can be argued that the indicated maximum values most likely correspond to the respective business blocks. A built-up block can also be represented as part of one, or the crossing point of, several streets. Consequently, taking the arithmetic average of the maximum values of all streets involved generated the value of a subject area.

Figure 11 shows, by means of kriging interpolation, commercial land valuation for 1929 as well as the outlines of the three defined Kudamm core areas of economic activity. This year represents the overall peak during the research period in terms of economic development. Interpolated land values support the feasibility of core regions definition.

As for the abovementioned development of the historical CBD (see Sect. 2), Fig. 12 impressively shows how the population density drastically declined between 1905 and 1936 due to the massive displacement of households by commercial activity. The area, in which the depopulation took place corresponds almost exactly to the boundaries of the CBD as defined by Leyden (1933) and Krause (1958).

Fig. 11
figure 11

Definition of Kudamm Areas and Kriged SLV 1929. Source: Urban and Environmental Information System of the Senate Department of Berlin (2006)

Fig. 12
figure 12

Depopulation of the Historical Center between 1871 and 1936

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wendland, N. All access: a micro-level case study on the secondary center of Berlin (1871–1936). Ann Reg Sci 54, 375–399 (2015). https://doi.org/10.1007/s00168-015-0658-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00168-015-0658-0

JEL Classification

Navigation