scholarly journals LAND RENT IN THE CENTRAL BUSINESS DISTRICT OF A CITY AS A KEY FACTOR OF SOCIAL SERVICE DEVELOPMENT

2021 ◽  
Author(s):  
O. V. Hladkyi
Keyword(s):  
Social Service ◽  
Service Sector ◽  
Large City ◽  
Central Business District ◽  
Central Place ◽  
Service Development ◽  
Land Rent ◽  
Key Factor ◽  
Central Place System ◽  
Business District

This article summarizes different approaches to investigation of land rent in the central place system e.g. in the business district of a large city or agglomeration as a key factor of social service development. The main purpose of the study is increase of profitability and competitiveness of service enterprises due to improvement of their location in the business district centre. Systematization of literature sources and approaches to solving the problem of land rent in central business district development allowed to single out the works of domestic scientists such as Tkachenko T. I., Drapikovskyi O. I., Ivanova O. O., Gritsai O. V., Vakulenko V. M., Dekhtiarenko Yu. F., Zakharchenko V. I., Litvinenko R. I., as well as researches of foreign scientists such as Fujita M, Thisse J.-F., Henderson V., Herbert Giersch. The urgency of solving this scientific problem is that land rent in central place system e.g. in the business district of a large city became the main driver of service sector development. The study of land rent development in the article is carried out in the following logical sequence: land rental development of trade objects in a monocentric city, retail locations, rent for trade in episodic demand goods, rent for trade in goods of constant demand, the main feature of the trading enterprises rent investigation, residential land rent of a city, two rent types of residential development estimation, rent function with replacement of production factors instead of output or rent gradient investigation. Methodical tools of the conducted research are methods of formalization, algorithm development, descriptive, analytical and synthetic. The object of the study is land rent development in the central business district of a large city or agglomeration. The article presents the results of an empirical analysis of land rent development in the central business district, which showed its influence on service sector location and growth. The study empirically confirms and theoretically proves procedures of land rent estimation for increasing profitability and competitiveness of service enterprises due to improvement of their location. The results of this study may be useful for different Tourism and Service Companies looking for the best location place in the central business district of a large city.

scholarly journals Shrinkage in Tokyo’s Central Business District: Large-Scale Redevelopment in the Spatially Shrinking Office Market

2019 ◽  
Vol 11 (10) ◽  
pp. 2742 ◽  
Author(s):  
Kohei Kawai ◽  
Masatomo Suzuki ◽  
Chihiro Shimizu
Keyword(s):  
Large Scale ◽  
Service Sector ◽  
Geographical Area ◽  
Central Area ◽  
Central Business District ◽  
Building Performance ◽  
Long Run ◽  
Level Data ◽  
Office Market ◽  
Business District

Although metropolises continue to grow worldwide, they face the risk of shrinkage. This study seeks to capture and contextualize the “shrinkage” of the office market in Tokyo, a city that is one of the largest in the world but whose labor force has been shrinking since 1995. Employing unique property-level data on office building performance and use, this study quantifies the geographical distribution of office supply over time and shows that the geographical area of office supply is shrinking from the fringes, in line with the large-scale redevelopment of the central area since the collapse of the asset bubble in the early 1990s. As a result, analyses of changes in the vacancy rate and rent premium (from hedonic regressions) suggest that old office properties in the suburbs have recently faced more vacancies and lower rent premiums, even during the upturn peak of around 2007. This evidence suggests that (i) the concept of shrinking cities is also applicable in a spatial context, even for service sector workplaces in a nation’s central metropolis, and that (ii) allowing large-scale redevelopment in the central area while the economy remains powerful can transform the metropolis into a more compact form, which may be desirable in the long run.

scholarly journals Analysis of Urban Effects in Oklahoma City using a Dense Surface Observing Network

2016 ◽  
Vol 55 (3) ◽  
pp. 723-741 ◽  
Author(s):  
Xiao-Ming Hu ◽  
Ming Xue ◽  
Petra M. Klein ◽  
Bradley G. Illston ◽  
Sheng Chen
Keyword(s):  
Metropolitan Area ◽  
Land Surface ◽  
Critical Role ◽  
Central Business District ◽  
Temperature Inversion ◽  
Oklahoma City ◽  
Near Surface ◽  
Open Questions ◽  
The Stability ◽  
Business District

AbstractMany studies have investigated urban heat island (UHI) intensity for cities around the world, which is normally quantified as the temperature difference between urban location(s) and rural location(s). A few open questions still remain regarding the UHI, such as the spatial distribution of UHI intensity, temporal (including diurnal and seasonal) variation of UHI intensity, and the UHI formation mechanism. A dense network of atmospheric monitoring sites, known as the Oklahoma City (OKC) Micronet (OKCNET), was deployed in 2008 across the OKC metropolitan area. This study analyzes data from OKCNET in 2009 and 2010 to investigate OKC UHI at a subcity spatial scale for the first time. The UHI intensity exhibited large spatial variations over OKC. During both daytime and nighttime, the strongest UHI intensity is mostly confined around the central business district where land surface roughness is the highest in the OKC metropolitan area. These results do not support the roughness warming theory to explain the air temperature UHI in OKC. The UHI intensity of OKC increased prominently around the early evening transition (EET) and stayed at a fairly constant level throughout the night. The physical processes during the EET play a critical role in determining the nocturnal UHI intensity. The near-surface rural temperature inversion strength was a good indicator for nocturnal UHI intensity. As a consequence of the relatively weak near-surface rural inversion, the strongest nocturnal UHI in OKC was less likely to occur in summer. Other meteorological factors (e.g., wind speed and cloud) can affect the stability/depth of the nighttime boundary layer and can thus modulate nocturnal UHI intensity.

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