This study uses the MRT (mass rapid transit system) Banqiao Station as an example to explore residents' satisfaction toward transit-oriented development (TOD) living environment characteristics around the Banqiao MRT station. The study uses descriptive statistics, reliability analysis, the factor analysis method and multiple regression analysis to verify the data, and one should expect the study to serve as a reference basis for the government, academia and businesses to formulate urban development and transportation policies. This study shows that residents are mostly satisfied with a 10-minute walk distance to convenience stores. Furthermore, this study uses the factor analysis method and thus brings forth five major TOD factors. With stepwise regression analysis, we discovered that Factors 1 and 2 represent land use and transportation, respectively, while Factor 5 represents high-density development, all of which are significantly related to resident satisfaction. Additionally, gender, age, career, educational background and incomes are individual characteristics that should be forcibly entered into the regression equation. Only Factors 1 and 5 achieve statistical significance. Finally, the study suggests improvements to the surrounding environments of Banqiao Station by focusing on the TOD characteristics of design and density, which can increase TOD residential satisfaction and the public health of residents surrounding the MRT Banqiao Station.

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Abstract:Under the circumstances of limited government funds, the future pollution remediation policies and practical implementation may need contemplation from the perspective of maximized efficacy, in order to pursue the most effective resource allocation. In fact, different pollution sources and types affect the value of surrounding properties differently in significance and scope. Therefore, benefits from the remediation may vary depending on the polluted locations. Currently, however, decision-making on the location-based priority of pollution remediation still seems to be in need of a clear index system to evaluate the post-remediation benefits. Therefore, this article discusses the use of the fuzzy Delphi method to determine factors of the location-based priority of soil and groundwater pollution remediation and an analytic network process to determine the weights of each factor. The empirical results show that the top 3 priority indicators are resident population, land value and natural resources. Hopefully, this finding can be used in future decision-making on the priority of pollution remediation to maximize the effect of limited funds.

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