Page 318 - 360.revista de Alta Velocidad - Nº 6
P. 318

Kim, Junghwa. Schmöcker, Jan-Dirk. Li, Yeun-Touh. Demizu, Fumiaki.




                 4.    Adoption Ratio and City Heterogeneity


                 We assumed that diffusion  effects are different by year after opening as well as by
                 city. Based on diffusion model, the city-specific annual values of and are obtained as
                 following.












                 Equation  (3)  could  be  regarded  as  quadratic  equation  Y of  thus  the  coefficients  could  be
                                                                           t
                 estimated by a Least Square Method. This estimation was carried out by city and year with the
                 results shown in Appendix. All estimates by city and year are significant at 0.01% error level,
                 except for 2007. Table 2 shows the mean value of diffusion rates by city. Here, the diffusion
                 rates in 2007 were not calculated due to small sample size, therefore we assumed that Adoption
                 Effects in 2007 is the same as in 2008 for model estimating. Chiayi is showing the highest p value
                 followed by Taipei/Banciao and Taichung. Taoyuan has the lowest rate of innovative diverted
                 demand among the cities. For diverted and induced demand, Hsinchu has a high value followed
                 by Taichung and Taoyuan. Zuoying and Tainan, the cities farthest from the capital, show the
                 lowest rates of q.

                 For our focus on expected long-term demand growth, we now suggest the concept of “Adoption
                 Ratio” obtained as the ratio between p and q:










                 The “Adoption Ratio” shows how strong the latent impact for increasing a long-term demand
                 is compared to the initial demand growth during the first few months since HSR operation
                 starts. The higher the ratio the more we can expect a continuous, fairly steady growth.
                 Therefore a high ”Adoption Ratio” means strong Adoption Effects.

                 As shown in Table 2, Taoyuan and Hsinchu both show high adoption ratio. We note that
                 both cities can be classified as comparatively small cities and both are located close to the
                 capital. Also when we see Figure 5, we observe that roughly two city groups are divided
                 that lie above or below the curve for Taipei/Banqiao. Each group has a strong Adoption
                 Effects  the order of city size, Small, Small and Middle i.e. Based on the line of Taipei/
                 Banqiao(L), Taoyan(S) and Hinchu(S) as well as Taichung(M) are belong to the group above.
                 And the group below include Tainan(S), Chiayi(S) and Zuoying(M). From these observations
                 we hypothesize that the city characteristic elements such as size and distance from Taipei,
                 the capital and economic centre of Taiwan, affect Adoption Effects. Therefore, in the next
                 section we analyse what factors, which reflect city heterogeneity, determine the level of
                 Adoption Effects.










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