scholarly journals Lokasi Ritel

2019 ◽  
Author(s):  
Adil Fadillah
Keyword(s):  
Central Business District ◽  
Shopping Center ◽  
Shopping Centers ◽  
Business District

Lokasi Ritel seringkali menjadi keputusan sangat penting yang dibuat oleh ritel, karena pertimbangan berikut:PERTAMA, Lokasi merupakan pertimbangan utama bagi konsumen dalam memilih ritelKEDUA, keputusan memilih lokasi ritel merupakan strategi penting. Karena ritel dapat menggunakannya sebagai keuntungan untuk bersaingAda 3 tipe Lokasi Dasar yang bisa dipilih oleh Ritel :A.Shopping CentersB.City or Town LocationsC.Freestanding LocationsRitel pun dapat memilih tempat di lokasi nontradisional seperti airport atau lokasi lainnyaSHOPPING CENTERSIstilah Shopping Center sudah dikenal sejak awal tahun 1950-an.Shopping Center merupakan grup ritel dan bisnis lain yang direncanakan, dibangun, dimiliki dan dimanage sebagai satu kepemilikan.Bentuk Shopping Center ada dua :1.Strip Shopping Center. Yaitu Shopping Centers yang umumnya mempunyai tempat parkir langsung di depan toko. Canopy terbuka membuat mudah akses ke toko, namun kelemahannya tidak mempunyai area jalan yang menghubungkan dengan toko lain2.Malls. Yaitu Shopping Centers yang menyediakan area parkir di tempat terpisah dari toko (terpencil)dan pelanggan akan berjalan untuk menuju toko. Mall memiliki ruas jalan yang diapit toko (berhadapan) untuk dilalui konsumen. CITY OR TOWN LOCATIONSSekalipun shopping center ini berada di kota besar, lokasi ritel ini bertipe tidak direncanakan, dimiliki banyak pemilik, dan mempunyai akses langsung dari jalan.The Central Business District merupakan area bisnis tradisional yang berada di keramaian kota dalam suatu kota besar.

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.

Building use by urban commensal avifauna in Melbourne central business district, Australia

2017 ◽  
Vol 117 (3) ◽  
pp. 284-289 ◽  
Author(s):  
Melissa Pike ◽  
Dirk H. R. Spennemann ◽  
Maggie J. Watson
Keyword(s):  
Central Business District ◽  
Business District

scholarly journals Using New Mode Choice Model Nesting Structures to Address Emerging Policy Questions: A Case Study of the Pittsburgh Central Business District

2017 ◽  
Vol 9 (11) ◽  
pp. 2120 ◽  
Author(s):  
Zulqarnain Khattak ◽  
Mark Magalotti ◽  
John Miller ◽  
Michael Fontaine
Keyword(s):  
Choice Model ◽  
Mode Choice ◽  
Central Business District ◽  
Mode Choice Model ◽  
Business District
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