Delimiting central business districts — A physical approach using remote sensing

Taubenböck, Hannes; Klotz, Martin G.; Wurm, Michael; Schmieder, Jens; Wagner, Bianca; Esch, Thomas

doi:10.1109/jurse.2013.6550655

Cited by 5 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Clear spatial delineation is a prerequisite for submarket analysis. Taubenböck et al (2013) suggest using a qualitative assessment of the main concentration of commercial activities, measured relatively to its surrounding areas. Fuerst andMcAllister (2011a, 2011b) note that these submarkets should contain enough observations for statistical relevance.…”

Section: Spatial Factorsmentioning

confidence: 99%

Cap rates and risk: a spatial analysis of commercial real estate

Unbehaun

Fuerst

2018

SEF

View full text Add to dashboard Cite

Purpose This study aims to assess the impact of location on capitalization rates and risk premia. Design/methodology/approach Using a transaction-based data series for the five largest office markets in Germany from 2005 to 2015, regression analysis is performed to account for a large set of asset-level drivers such as location, age and size and time-varying macro-level drivers. Findings Location is found to be a key determinant of cap rates and risk premia. CBD locations are found to attract lower cap rates and lower risk premia in three of the five largest markets in Germany. Interestingly, this effect is not found in the non-CBD locations of these markets, suggesting that the lower perceived risk associated with these large markets is restricted to a relatively small area within these markets that are reputed to be safe investments. Research limitations/implications The findings imply that investors view properties in peripheral urban locations as imperfect substitutes for CBD properties. Further analysis also shows that these risk premia are not uniformly applied across real estate asset types. The CBD risk effect is particularly pronounced for office and retail assets, apparently considered “prime” investments within the central locations. Originality/value This is one of the first empirical studies of the risk implications of peripheral commercial real estate locations. It is also one of the first large-scale cap rate analyses of the German commercial real estate market. The results demonstrate that risk perceptions of investors have a distinct spatial dimension.

show abstract

Section: Spatial Factorsmentioning

confidence: 99%

Cap rates and risk: a spatial analysis of commercial real estate

Unbehaun

Fuerst

2018

SEF

View full text Add to dashboard Cite

show abstract

“…In general, metropolitan area is divided into CBD (Central Business District) zone and outskirts zone. The CBD is a specialized zone in urban area, plays role as the center of urban population activities in the field of economic, capital, business, and financial (Taubenbock et al, 2013). CBD becomes attractive due to its availability and accessibility to jobs, transportation points, as well as markets.…”

Section: Resultsmentioning

confidence: 99%

Impacts of Population Density for Landuse Assessment in Cengkareng, West Jakarta

Putri

Abadi

Tastian

2020

J. Geoscience Eng. Environ. Technol.

View full text Add to dashboard Cite

Economic development in Jakarta has been influencing physical and social characteristics of urban area significantly. For recent years, burgeoning population growth occurs as a result of urban development and contributes to the landuse dynamics in a certain area. Cengkareng, is one of the most developed urban areas in Jakarta and has been experiencing such population and landuse dynamics. Its strategic location has turned this area becomen densely-populated. Increasing population density increase land demand, shapes the settlement pattern, and changes the landuse of the area. A study conducted in Cengkareng District has been done to describe how the population density impacts the landuse features for landuse assessment. The method implemented in this study combines quantitative and qualitative to process statistics and satellite imagery to produce data of population density, landuse change, and settlement pattern of the studied area. The study resulted that Cengkareng has experienced such significant landuse change which is dominantly converted into settlement and offices due to rising of population density. Nucleated settlement pattern has taken more area regarding to increased land need over land supply. It becomes serious problem for Cengkareng such aa slum settlements, flood problems, and land subsidence. Keywords: Landuse change; Population density; Settlement pattern

show abstract

“…For many decades, the approach of Murphy and Vance (1954) dominated economic geography. After nearly 60 years, it was modified by Taubenböck et al (2013), who use detailed data on the intensity of the land use taken from both open sources and satellite pictures, then applying morphological 3D modelling of the land use at the level of blocks with the object of delimiting the CBD of Paris. This method, with its objectivity and flexibility, is very data demanding and computation intensive.…”

Section: Approaches To Delineating the City Centrementioning

confidence: 99%

Where is the consumer centre? A case of St. Petersburg

Kholodilin

Koroleva

Kryutchenko

2022

Regional Science Policy & Practice

View full text Add to dashboard Cite

In an urban economy, the distribution of people and real estate prices depends on the location of the central business district of a city. As distance from the city centre increases, both prices and population density diminish, for travel costs increase in terms of time and money. As manufacturing gradually leaves the cities, the importance of consumer amenities as attractors of population to the urban areas increases. The role of a business centre is being replaced by the consumer centre. In this paper, we identify the location of the consumer centre of St. Petersburgthe second largest city in Russia and its former capital. For this purpose using the data from open sources in the Internet regarding the location of many different types of urban amenities, the indices of their spatial density are computed. Using the weights based on coefficients of spatial variation and surveybased weights, the individual indices are aggregated to two general centrality indices. Their unique maxima correspond to the city centre of St. Petersburg, which is located on Nevsky prospekt, between Fontanka river and Liteinyi prospekt.

show abstract

Delimiting central business districts — A physical approach using remote sensing

Cited by 5 publications

References 11 publications

Cap rates and risk: a spatial analysis of commercial real estate

Cap rates and risk: a spatial analysis of commercial real estate

Impacts of Population Density for Landuse Assessment in Cengkareng, West Jakarta

Where is the consumer centre? A case of St. Petersburg

Contact Info

Product

Resources

About