Description
Accessibility is a key to success in growing the economy in economic geography. Earlier studies show that there is a trend of concentration of businesses and firms in areas that enjoy accessibility to maximize productivity and increase economic advantages in the densest areas of cities. However, some studies have shown that the benefit of accessibility can be reduced through negative external costs generated by air pollution and traffic congestion, especially when the offset impact reflects on housing market and the decision-making of residential location, which also suggests different patterns depending on built environment characteristics and positions within an urban area. Research to date has not yet provided an insight investigation on the complex trade-off impacts of above three factors on location choice in China.Taking Suzhou as a study area, this research aims to investigate the effects of accessibility, air pollution, and congestion on housing market from both spatial and temporal dimensions by applying mixed methods. The study will firstly adopt quantitative evaluation based on secondary datasets, including segmentation analysis on neighbourhoods to explore the spatial patterns of different locations and geographically weighted regression (GWR) based hedonic pricing model to figure out the trade-off impact mechanism of the three factors on housing price. Qualitative analysis will be applied by conducting onsite in-depth interview on local residents from different neighbourhood clusters to better illustrate their reasons behind of location choice. The findings of this study will highlight the heterogeneity of the trade-off impact on housing price and location choice. For instance, one of the main findings will support the view that under the condition of comparative high accessibility to employment, air pollution significantly counteracts the benefits that accessibility brings to local housing price, with congestion lowers the actual efficiency of accessibility than either desired or required and indirectly discounts its positive influences. This study aims to contribute to understanding of the spatial implication of urban transportation infrastructure provision and policy in China, and more generally to new urban transportation policy discussion at both national and international level.
| Period | Aug 2021 → Aug 2025 |
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