From the 1980s onwards, restructuring of economy and globalization has increased the number and size of companies in Istanbul and demand for office space accordingly. Indeed, Istanbul has become an attractive location for the international business firms due to its strategic location between Europe and Asia. Since the old CBD did not have sufficient space for the modern office building, multi-centre developments in Istanbul with different locational and physical characteristics were established. This study investigates the factors which effect office rents by the use of hedonic price analysis. According to the results of the analysis, the number of floors of the buildings is the most important factor to affect office rents. Other factors according to their importance are as follows: vacancy rate in the vicinity, social facilities in the buildings, aesthetics of the buildings, rental office floor, banks in the vicinity, and accessibility. On the other hand, management cost, age, view and distances to the old CBD and the major highways are not fund significant since these sub-centers are already located on major highways. The results of the study can be useful for the investors, real estate agents, urban planners, architects and policy makers. For further research, time series analysis of office rents is suggested.

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The purpose of this paper is to examine the spatial distribution of housing prices at the metropolitan and at the district level of Istanbul. At the metropolitan level, the most important factors which affect housing prices are sub-market, floor area and sea view. At the district level, housing prices vary from district to district according to locational, socio-economic and property characteristics. High-income sub-markets have higher coefficient of determinations and more significant variables than low-income sub-markets. Furthermore, the results suggest that planned districts have higher housing prices; thus, restructuring squatter areas and revitalizing inner city areas provide not only benefits to individuals but also higher tax revenues to the city.

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This paper investigates the spatial distribution of shopping malls with respect to population and analyses the factors which effect the shopping mall location. According to the results, while the shopping mall space ratio is higher than population ratio in the intermediate zone, the reverse is true in the periphery. The relationships between the shopping mall space and income, population and distance to the central business district (CBD) of the locations are investigated by the use of regression analysis. The results reveal that income is the only factor affecting the location of shopping malls among those considered. In addition, three shopping malls from the inner and peripheral zones of Istanbul were analysed with respect to frequency to shopping centres and characteristics of trade areas. According to the results, the size of the catchment area of the shopping mall from the inner zone is larger then the peripheral ones due to higher accessibility with alternative transportation systems and supporting functions in its surrounding areas. The results fall within the concept of central place theory. Further research is suggested by expending the study to the other areas of the city with different characteristics to calculate their retail potential and their spatial implications.