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2022-08-12
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Copyright (c) 2022 Maya Safira, Makoto Chikaraishi
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How to Cite
On the empirical association between spatial agglomeration of commercial facilities and transportation systems in Japan: A nationwide analysis
Maya Safira
Hiroshima University
Makoto Chikaraishi
Hiroshima University
DOI: https://doi.org/10.5198/jtlu.2022.1968
Keywords: Urban agglomeration, city-level characteristics, transportation systems, moderation effects, network distance
Abstract
Understanding the impact of transport systems on the spatial agglomeration of urban facilities is critical for urban and transport planning. Recent studies show three separate mechanisms, including matching, sharing, and trip chaining on the agglomeration of commercial facilities, but little is known about which of these mechanisms is dominant and how its dominance varies across transport systems. Aiming at empirically investigating the mechanisms, we first calculate a simple agglomeration index for 69 Japanese cities and then explore the association between the index and city-level characteristics (including transport) using a decision tree analysis. The results confirm that (1) cities with larger areas and higher train shares experience agglomeration, presumably through matching and/or trip chaining, while cities with smaller areas have less agglomeration despite high train shares; and (2) car-dependent cities experience agglomeration, presumably through sharing, particularly by agglomerating in their residential and roadside areas. These findings indicate that effective agglomeration forces vary across transport systems.
References
Anas, A., Arnott, R., & Small, K. A. (1998). Urban spatial structure. Journal of Economic Literature, 36(3), 1426–1464.
Anderson, S. P., Goeree, J. K., & Ramer, R. (1997). Location, location, location. Journal of Economic Theory, 77(1), 102–127.
Baum-Snow, N., & Ferreira, F. (2015). Causal inference in urban and regional economics. Handbook of Regional and Urban Economics, 5, 3–38.
Breiman, L., Friedman, J., Stone, C. J., & Olshen, R. A. (1984). Classification and regression trees. Boca Raton, FL: CRC Press.
Chatman, D. G., & Noland, R. B. (2011). Do public transport improvements increase agglomeration economies? A review of literature and an agenda for research. Transport Reviews, 31(6), 725–742.
Chatman, D. G., & Noland, R. B. (2014). Transit service, physical agglomeration and productivity in US metropolitan areas. Urban Studies, 51(5), 917–937.
Combes, P., Mayer, T., & Thisse, J.-F. (2008). Economic geography. Princeton, NJ: Princeton University Press.
Combes, P. P., & Gobillon, L. (2015). The empirics of agglomeration economies. Handbook of Regional and Urban, 5, 247–348.
Duranton, G., & Overman, H. G. (2005). Testing for localization using micro-geographic data. The Review of Economic Studies, 72(4), 1077–1106.
Duranton, G., & Puga, D. (2004). Micro-foundations of urban agglomeration economies. Handbook of Regional and Urban Economics, 4, 2063–2117.
Elison, G., Glaeser, E., & Kerr, W. (2010). What causes industry agglomeration? Evidence from coagglomeration patterns. American Economic Review, 100(3), 1195–1213.
Fujita, M., Krugman, P., & Venables, A. J. (1999). The spatial economies: Cities, regions, and international trade. Cambridge, MA: MIT Press.
Giuliano, G. (2004). Land-use impacts of transportation investments. The Geography of Urban Transportation, 3, 237–273.
Glaeser, E. L., & Kahn, M. E. (2004). Sprawl and urban growth. Handbook of Regional and Urban Economics, 4, 2481–2527.
Graham, D. J. (2007). Agglomeration, productivity and transport investment. Journal of Transport Economics and Policy, 41(3), 317–343.
Graham, D. J., & Gibbons, S. (2019). Quantifying wider economic impacts of agglomeration for transport appraisal: Existing evidence and future directions. Economics of Transportation, 19, 100121.
Greenwald, M. J., & McNally, M. G. (2008). Land-use influences on trip-chaining in Portland, Oregon. Proceedings of the Institution of Civil Engineers-Urban Design and Planning, 161(2), 61–73.
Holmes, T. J., & Sieg, H. (2015). Structural estimation in urban economics. Handbook of Regional and Urban Economics, 5, 3–68.
Hörcher, D., De Borger, B., Seifu, W., & Graham, D. J. (2020). Public transport provision under agglomeration economies. Regional Science and Urban Economics, 81, 103503.
Imabari City. (2022). Website of Imabari City. Retrieved from https://www.city.imabari.ehime.jp/profile/keikaku.html
Kidokoro, Y. (2015). Cost–benefit analysis for transport projects in an agglomeration economy. Journal of Transport Economics and Policy, 49(3), 454–474.
Kolko, J. (2007). Agglomeration and co-agglomeration of services industries. Retrieved from http://dx.doi.org/10.2139/ssrn.985711
Koster, H. R., Pasidis, I., & van Ommeren, J. (2019). Shopping externalities and retail concentration: Evidence from Dutch shopping streets. Journal of Urban Economics, 114, 103–194.
Krugman, P. R. (1991). Geography and trade. Cambridge, MA: MIT Press.
Malmberg, A., Malmberg, B., & Lundequist, P. (2000). Agglomeration and firm performance: Economies of scale, localization, and urbanization among Swedish export firms. Environment and Planning A, 32(2), 305–321.
Malmberg, A., & Maskell, P. (2002). The elusive concept of localization economies: Toward a knowledge-based theory of spatial clustering. Environment and Planning A: Economy and Space, 34(3), 429–449.
Marshall, A. (1920). Principles of economics. London: MacMillan.
Nara City. (2022). Website of Nara City. Retrieved from https://www.city.nara.lg.jp/ site/ kankou/9732.html
Pashigian, B. P., & Gould, E. D. (1998). Internalizing externalities: The pricing of space in shopping malls. The Journal of Law and Economics, 41(1), 115–142.
Safira, M., & Chikaraishi, M. (2022). Exploring the impacts of online food delivery service on facility distribution: A case of Jakarta, Indonesia. Asian Transport Studies, 8, 100078.
Tabuchi, T. (1998). Urban agglomeration and dispersion: A synthesis of Alonso and Krugman. Journal of Urban Economics, 44(3), 333–351.
Takahashi, T. (2013). Agglomeration in a city with choosy consumers under imperfect information. Journal of Urban Economics, 76, 28–42.
Takayama, Y., Ikeda, K., & Thisse, J. F. (2020). Stability and sustainability of urban systems under commuting and transportation costs. Regional Science and Urban Economics, 84, 103553.
Therneau T., Atkinson B., Ripley B., & Ripley, M. B. (2019). Package ‘rpart’. Retrieved from https://cran.pau.edu.tr/web/packages/rpart/rpart.pdf
