Pre-sale and existing house are major submarket in Taiwan housing market. Because the pre-sale house is possessed the attribute of futures, the relationship of price difference in pre-sale and existing house is concerned with real estate participators. It is helpful to understand the substitute of pre-sale and existing house that observe the basis and its change, and we also discovery the attributes within submarket. For the past study of basis, they didn’t think heterogeneous between local submarket so that there is little knowledge about basis and its market meanings in local submarket. This study build Hedonic price model to estimate basis of Taipei city and Taipei county from 1996 to 1998 using the list prices of pre-sale house from Cathy co. and transaction prices of existing house from Gigahouse co..

The result is showed that the price factors of building area, location, total floor, building age are significantly in Taipei city and Taipei county. The basis are 105.7K/pin, 118.2K/pin and 118.4K/pin from 1996 to 1998 in Taipei city. And we also get 27.2K/pin, 14.2K/pin and 21K/pin from the same period in Taipei county. For the ratio of price difference, we get 71%, 68% and 68% in Taipei city, and 84%, 92% and 87% in Taipei county. We think that the relationship of Taipei city is large than Taipei county, and this issue is very important in local submarket.

Chang, C. & Ward, C., 1993 “Forward Pricing and the Housing Market: the Pre-sales Housing System in Taiwan”, Journal of Housing Research, 10: 217-227.

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Because of peoples’ economic need and for faster mobility, development raises up in Kaohsiung city’s public vehicles. Therefore, it’s not only of great urgency to develop public transport environment, but also to provide passengers’ need for their satisfaction through appropriate service and facilities.

This research aims to determine the perception of the passengers based on their experiences, satisfaction, convenience, and expectations from the employees’ services and the facilities of the Kaoshiung Mass Rapid Transit (KMRT). This is also to render help to KMRT operators for the improvement of their services and facilities.

The information needed in this study was obtained through literature review and questionnaire survey. The respondents are the passengers of KMRT, who were picked randomly as samples. The statistical tool used to analyze the data was SPSS software.

The result shows that the passengers are unsatisfied with KMRTs’ planning and ticketing. Now, KMRT is used mainly for leisure. It should raise the use of efficiency to reach the highest benefit of public transport system.

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 To realize the evacuation behaviors of the mobility-disadvantage group in debris flow disasters, this study conducts questionnaire survey to understand their disaster perception and actual evacuation behaviors. Two debris flow vulnerable townships were selected as study areas including Shuili Township in Nantou County and Jianshi Township in Hsinchu County. This research finds that the most reliable source for evacuation warning is from the governmental authorities. The results of this study shows evacuation expectations have significantly differ from the actual behavior on the awareness of the benefits from evacuation drills and past disaster experience. This study also establish binary logistic regression model considering the factors of “actual evacuation”, “help from others” and “evacuation times”. The results from the models show that mobility-disadvantage group with “informed to evacuate”, “safety knowledge”, “higher income” has higher evacuate proportion. The result also show that the most valuable help for mobility-disadvantage group is providing evacuation vehicles as well as related equipments. In addition, the mobility-disadvantage group tends to choose their familiar route for evacuation which may extend the evacuation time. This study suggests that the current governmental evacuation plan should have special focus on the mobility-disadvantage group.

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Based on the viewpoint of social, identified and cognitive proximity, this study will discuss whether science and technology social workers are able to evaluate their living environment directly in the process of motivating housing purchase, searching for information, and making residential location decisions when they learn about housing purchase based on informal interactions, social networking, and common learning culture.  This study uses regression analysis to explore the correlation between individual proximity factors and spatial proximity based on the hypothesis that individual proximity impacts residential location choices of science and technology social workers.  Through this analysis, the authors hope to find explanation behind the spatial development transformation of Hsinchu District.  The result of this study indicates that housing choice behaviors of science and technology social workers follow two different proximity paths.  First, internal proximity factors (social and identified proximity) show that the groups identify with knowledge networks within HSIP and the local environment, and thus conform to residential environmental behaviors.  Second, external proximity (cognitive proximity) refers to the acquisition of housing information.  Under the influence of individual proximity, social and identified proximity require agglomeration in the same geographic area.  Although external cognitive proximity does not lead directly to spatial proximity, it benefits science and technology professionals through social proximity interactions.  As a result, the pulling force created by individual proximity slowed down the spatial expansion of Hsinchu District.

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