scholarly journals Determinants of Apartment Prices within Housing Estates of Nairobi Metropolitan Area

2018 ◽  
Vol 10 (6) ◽  
pp. 104
Author(s):  
James N. Ndegwa
Keyword(s):  
Metropolitan Area ◽  
Significant Influence ◽  
Central Business District ◽  
Swimming Pool ◽  
Primary Data ◽  
Land Value ◽  
Shopping Malls ◽  
Primary Data Analysis ◽  
Business District ◽  
Housing Estates

The objective of this study is to establish the determinants that significantly influence apartment prices that are located within housing estates of Nairobi metropolitan area. The determinants comprise of apartments features including: proximity to shopping malls, proximity to Nairobi’s central business district, proximity to schools, proximity to slums, presence of swimming pool, presence of balcony, size of the apartment, periodic rental income and land value. Both secondary and primary data sources were employed in the research and 30 housing estates where apartment are located were selected for data collection purposes. Multiple regression analysis was employed for the secondary data and the findings indicated that: land value and size of the apartments had a significant influence on apartment pricing. Descriptive statistical analysis findings indicated that proximity to shopping malls, proximity to Nairobi’s central business district, proximity to schools, presence of swimming pool, size of the apartments and land value had significant influence on apartment prices. Triangulation of secondary and primary data analysis results indicated a consistency rate of 50%. The recommendation of the study is that real estate stakeholders especially buyers should focus on size and land value of apartments as these significantly influence apartment pricing in Nairobi metropolitan area.

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.

scholarly journals Spatial convenience: bridging the gap between shopping malls and shopping strips

2014 ◽  
Vol 42 (10) ◽  
pp. 864-883 ◽  
Author(s):  
Vaughan Reimers ◽  
Val Clulow
Keyword(s):  
Design Methodology ◽  
Central Business District ◽  
Household Survey ◽  
Shopping Malls ◽  
Content Type ◽  
Downtown Area ◽  
Shopping Behaviour ◽  
High Street ◽  
Business District ◽  
Retail Formats

Purpose – Due to rising obesity levels, declining fitness levels, an aging population, and shopper lethargy, retail planners must give serious consideration to the physical demands retail centres place on their patrons. The purpose of this paper is to determine the importance consumers assign to spatial convenience, measure how consumers perceive shopping malls and shopping strips (also referred to as the downtown area, central business district, Main Street or the High Street) in relation to it, and compare them in their provision of it. Design/methodology/approach – The study utilises a household survey of consumers and as well as a retail audit. The survey was used to identify the importance consumers assign to spatial convenience, while the retail audit was used to establish how malls and strips compare in their provision of it. Findings – The results of the survey indicate that consumers regard spatial convenience as important and believe that malls are superior in providing it. The retail audit confirmed the accuracy of these perceptions, with the mall providing greater store compatibility, and a more compact shopping environment. Originality/value – The influence of spatial convenience on shopping behaviour has been largely overlooked at the level of the retail centre. Moreover, those studies that have focused on this topic, have typically done so from the singular focus of either malls or strips. This study incorporates both, and does so via an empirical analysis of consumer attitudes and a spatial comparison of both retail formats.

Examining the Thesis of Central Business District Decline: Evidence from the Montreal Metropolitan Area

1996 ◽  
Vol 28 (10) ◽  
pp. 1795-1814 ◽  
Author(s):  
W J Coffey ◽  
M Polèse ◽  
R Drolet
Keyword(s):  
Metropolitan Area ◽  
Metropolitan Areas ◽  
Central Business District ◽  
High Order ◽  
Economic Base ◽  
Business Services ◽  
Office Employment ◽  
American Research ◽  
Using Data ◽  
Business District

Much recent North American research has focused on the decline of the central business district (CBD) as the economic core of metropolitan areas, and the corresponding rise of suburban employment centres. According to the literature, this trend is particularly evident in the case of high-order service functions: business services, finance, insurance, and real estate services, and head offices. In this paper, we argue that the decentralization of high-order service activities and the corresponding CBD decline may be neither as strong a trend nor as universal a phenomenon as certain authors have indicated. Rather, the growth of suburban office employment may reflect a strong CBD whose economic base is becoming increasingly specialized. Using data from the Montreal metropolitan area, we first examine intrametropolitan decentralization in a shift-share framework, then document the mobility of establishments and employment. Our findings suggest that, in spite of a certain level of intrametropolitan decentralization, the CBD continues to be the primary locus of high-order services.

scholarly journals Flood hazard modelling and risk assessment in the Nadi River Basin, Fiji, using GIS and MCDA

2012 ◽  
Vol 30 (1) ◽  
pp. 33 ◽  
Author(s):  
Jessy Paquette ◽  
John Lowry
Keyword(s):  
River Basin ◽  
Census Data ◽  
Flood Hazard ◽  
Effective Means ◽  
Central Business District ◽  
Primary Data ◽  
Flood Hazards ◽  
Location Data ◽  
Gis Data ◽  
Business District

This paper presents a simple and affordable approach to flood hazard assessment in a region where primary data are scarce. Using a multicriteria decision analysis (MCDA) approach coupled with GIS layers for elevation, catchments, land-use, slope, distance from channel, and soil types, we model the spatial extent of flood hazard in the Nadi River basin in western Fiji. Based on the flood hazard model results we assess risk to flood hazards in the greater Nadi area. This is carried out using 2007 census data and building location data obtained from aerial photography. The flood model reveals that the highest hazard areas in Nadi are the Narewa, Sikituru and Yavusania villages followed by the Nadi central business district (Nadi CBD). Closer examination of the data suggests that the Nadi River is not the only flood vector in the area. Several poorly designed storm drains also present a hazard since they get clogged by rubbish and cannot properly evacuate runoff thus creating water build-up. We conclude that the MCDA approach provides a simple and effective means to model flood hazard using basic GIS data. This type of model can help decision makers focus their flood risk awareness efforts, and gives important insights to disaster management authorities.

scholarly journals Abuse of Parking Facilities and the Decay of Ikeja Central Business District, Ikeja Local Government Area, Lagos State

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
J. O Ige
Keyword(s):  
Local Government ◽  
Research Effort ◽  
Secondary Data ◽  
Central Business District ◽  
Early Warning Systems ◽  
Google Earth ◽  
Local Government Area ◽  
Primary Data ◽  
Business District ◽  
Parking Facilities

Illegal parking has been a topical issue in environmental planning and management, especially in the area of generating early warning systems for preparedness against space abuse. However, the concentration of research effort on accessibility in central business district with unjustified neglect of parking abuse impedes the search for analytical explanations and effective strategies to control spatial challenges. The study examined the types and nature of parking facilities and parking abuse. It also examined causes and effects of the abuse, as well as the response to abuse of the parking facilities in Ikeja Central Business District of Ikeja Local Government Area. Primary and secondary data were used for the study. Primary data were collected through in-depth interview with opinion leaders and questionnaires administered to 106 respondents randomly sampled in the core and periphery of the Central Business District of Ikeja. The data collected were analyzed using descriptive statistics such as frequency counts, percentage and chi-square. Secondary data used were map of the study area and images generated from Google earth. Results showed that there were two types of parking facilities; off-street (destination parking lot) and on-street parking facilities in the area. The nature of parking abuse was highly indiscriminate, and the prevailing type of parking facility abuse in the study area was unauthorized conversion of earmarked parking spaces to commercial trading spots. The effects of the parking abuse were mainly unavailability of parking space and traffic congestion, and the major perpetuators of the abuse were traders. The response of enforcement officials to indiscriminate parking was affirmed to be inefficient by 87.7% of the respondents. The study concluded that the abuse of parking facility was rampant in the study area.

scholarly journals Influencing Factors of Housing Sales Vacancy in the Guangzhou Metropolitan Area, China

2021 ◽  
Vol 5 (6) ◽  
pp. 49-54
Author(s):  
Xiaoli Yue ◽  
Yang Wang ◽  
Hong’ou Zhang
Keyword(s):  
Influencing Factors ◽  
Metropolitan Area ◽  
Regression Models ◽  
Central Business District ◽  
Vacancy Rates ◽  
Business District ◽  
Housing Vacancy

In this paper, nine indicators selected from three perspectives (convenience, environmental and location characteristics) and three regression models (OLS, SLM and SEM) are used to explore the influencing factors of housing sales vacancy in the Guangzhou Metropolitan Area, China. The results show that subway accessibility, peripheral aversion municipal facilities and distance from the CBD (Central Business District) are consistent with theoretical expectations. Subway accessibility is negatively correlated with the housing sales vacancy rates, while peripheral aversion municipal facilities and distance from the CBD are positively correlated with housing vacancy rates.

A transportation planning model for detailed traffic analyses

1978 ◽  
Vol 5 (1) ◽  
pp. 18-25 ◽  
Author(s):  
C. Fisk
Keyword(s):  
Metropolitan Area ◽  
Transportation Planning ◽  
Central Business District ◽  
Planning Model ◽  
Peak Demand ◽  
Arterial Streets ◽  
Pedestrian Traffic ◽  
Business District

This paper contains a brief outline of a transportation planning model developed for the purpose of providing detailed analyses of commuter traffic. It sets out to model the movement of automobile, transit and pedestrian traffic taking into account the interaction between and within each of the traffic components. The model is most appropriately applied to areas of high traffic activity, such as the central business district of a metropolitan area or arterial streets of a region-wide network during peak demand.

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