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We examine the relationship between rail accessibility and the pattern of demographic characteristics at long-established Rail Transit Served Communities. The analytical methods involve the juxtaposition of property premium estimates and assessment of spatial effects on demographic composition. Despite finding considerable property premiums associated with access to rail transit across metropolitan Sydney, we report little evidence of sorting in relation to economically advantaged or disadvantaged residents. Further, the demographic groups commonly linked to gentrification, including high-income and professionals, are not found to dominate areas of high rail accessibility and only those with advanced educational qualifications are shown to increase in concentration with closer access to rail transit.

International audience ; In a similar way to the stock market, the housing market in China has often been portrayed as highly speculative, giving rise to "bubble" concerns. Over the last decade, residential prices increased every year on average by double digits in Beijing or Shanghai. However many observers and researchers argue that fundamentals of the housing sector, both sector-specific and macroeconomic, may have been the driving force behind housing price volatility. While existing empirical work exclusively relies on the government housing prices which may suffer from the well-documented downward bias, this paper uses original high frequency unit price as well as transaction series for the residential resale housing markets of Beijing and Shanghai between January 2005 and December 2010 to test alternative hypotheses about housing prices volatility.

International audience ; In a similar way to the stock market, the housing market in China has often been portrayed as highly speculative, giving rise to "bubble" concerns. Over the last decade, residential prices increased every year on average by double digits in Beijing or Shanghai. However many observers and researchers argue that fundamentals of the housing sector, both sector-specific and macroeconomic, may have been the driving force behind housing price volatility. While existing empirical work exclusively relies on the government housing prices which may suffer from the well-documented downward bias, this paper uses original high frequency unit price as well as transaction series for the residential resale housing markets of Beijing and Shanghai between January 2005 and December 2010 to test alternative hypotheses about housing prices volatility.

International audience In a similar way to the stock market, the housing market in China has often been portrayed as highly speculative, giving rise to "bubble" concerns. Over the last decade, residential prices increased every year on average by double digits in Beijing or Shanghai. However many observers and researchers argue that fundamentals of the housing sector, both sector-specific and macroeconomic, may have been the driving force behind housing price volatility. While existing empirical work exclusively relies on the government housing prices which may suffer from the well-documented downward bias, this paper uses original high frequency unit price as well as transaction series for the residential resale housing markets of Beijing and Shanghai between January 2005 and December 2010 to test alternative hypotheses about housing prices volatility.