Inclusive management strategies towards informal trading: Focus on the Durban Central Business District Street trading spatial integration strategies

2021 ◽  
Author(s):  
Fredua Agyemang
Keyword(s):  
Management Strategies ◽  
Central Business District ◽  
Spatial Integration ◽  
Street Trading ◽  
Integration Strategies ◽  
Business District ◽  
Informal Trading

scholarly journals Improving the capacity and operational efficiency of an on-street parking system using data-based parking management strategies: case study of watt market in Calabar, South-South Nigeria

2020 ◽  
Vol 39 (2) ◽  
pp. 344-350
Author(s):  
G.S. Ukam
Keyword(s):  
Management Strategies ◽  
Central Business District ◽  
Operational Efficiency ◽  
License Plate ◽  
Scarce Resources ◽  
Parking System ◽  
Parking Management ◽  
The Difference ◽  
Using Data ◽  
Business District

Solving parking challenges in a manner that is sustainable would require a shift from using up more scarce land resources in providing supply to meet an unending demand for parking. Parking management is the approach of tackling parking challenges that efficiently utilizes scarce resources to meet demand in a sustainable way. This paper studied an on-street parking system in the central business district with the aim of proffering  policies and strategies that can help improve the capacity and operational efficiency of the park. Parking inventory and the license plate method were employed in analyzing the parking characteristics of the park. By introducing a parking duration restriction, more capacity could be  accommodated on the current available lots. A 90-minute limit would accommodate at least 106 more vehicles and increase the turnover from 13 to 14 vehicles per lot for the duration of survey, thus improving operational capacity and efficiency. The paper shows that parking management  strategies that are effective in making the difference should be employed based on adequate field surveys, observations and analysis. Keywords: On street parking, parking capacity, parking management, Parking survey, License plate

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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