The Shopping Centers of the Tyneside Urban Region and Large Scale Grocery Retailing

1966 ◽  
Vol 42 (1) ◽  
pp. 52 ◽  
Author(s):  
David Thorpe ◽  
T. C. Rhodes
Keyword(s):  
Large Scale ◽  
Urban Region ◽  
Shopping Centers ◽  
Grocery Retailing

scholarly journals Modeling regional impacts and resilience to water service disruptions in urban economies

2021 ◽  
pp. 239980832199870
Author(s):  
Sheree A Pagsuyoin ◽  
Joost R Santos
Keyword(s):  
Case Studies ◽  
Large Scale ◽  
Urban Region ◽  
Economic Losses ◽  
Drought Severity ◽  
Severe Drought ◽  
Time Varying ◽  
National Capital Region ◽  
Economic Sectors ◽  
The Impact

Water is a critical natural resource that sustains the productivity of many economic sectors, whether directly or indirectly. Climate change alongside rapid growth and development are a threat to water sustainability and regional productivity. In this paper, we develop an extension to the economic input-output model to assess the impact of water supply disruptions to regional economies. The model utilizes the inoperability variable, which measures the extent to which an infrastructure system or economic sector is unable to deliver its intended output. While the inoperability concept has been utilized in previous applications, this paper offers extensions that capture the time-varying nature of inoperability as the sectors recover from a disruptive event, such as drought. The model extension is capable of inserting inoperability adjustments within the drought timeline to capture time-varying likelihoods and severities, as well as the dependencies of various economic sectors on water. The model was applied to case studies of severe drought in two regions: (1) the state of Massachusetts (MA) and (2) the US National Capital Region (NCR). These regions were selected to contrast drought resilience between a mixed urban–rural region (MA) and a highly urban region (NCR). These regions also have comparable overall gross domestic products despite significant differences in the distribution and share of the economic sectors comprising each region. The results of the case studies indicate that in both regions, the utility and real estate sectors suffer the largest economic loss; nonetheless, results also identify region-specific sectors that incur significant losses. For the NCR, three sectors in the top 10 ranking of highest economic losses are government-related, whereas in the MA, four sectors in the top 10 are manufacturing sectors. Furthermore, the accommodation sector has also been included in the NCR case intuitively because of the high concentration of museums and famous landmarks. In contrast, the Wholesale Trade sector was among the sectors with the highest economic losses in the MA case study because of its large geographic size conducive for warehouses used as nodes for large-scale supply chain networks. Future modeling extensions could potentially include analysis of water demand and supply management strategies that can enhance regional resilience against droughts. Other regional case studies can also be pursued in future efforts to analyze various categories of drought severity beyond the case studies featured in this paper.

Written testimony, oral history and retail environments

2015 ◽  
Vol 7 (3) ◽  
pp. 356-372 ◽  
Author(s):  
Matthew Bailey
Keyword(s):  
Oral History ◽  
Large Scale ◽  
Historical Record ◽  
Shopping Mall ◽  
Shopping Centers ◽  
Subjective Experiences ◽  
Property Development ◽  
Online Questionnaire ◽  
Content Type ◽  
The 1960S

Purpose – This paper aims to join a growing movement in marketing history to include the voices of consumers in historical research on retail environments. It aims to show that consumer perspectives offer new insights to the emergence and reception of large-scale, pre-planned shopping centers in Australia during the 1960s, and allow one to write a history of this retail form from below, in contrast to the top-down approach that is characteristic of the broader literature on shopping mall development. Design/methodology/approach – Written testimonies by consumers were gathered using a qualitative online questionnaire. The methodology is related to oral history, in that it seeks to capture the subjective experiences of participants, has the capacity to create new archives, to fill or explain gaps in existing repositories and provide a voice to those frequently lost to the historical record. Findings – The written testimonies gathered for this project provide an important contribution to the understanding of shopping centers in Australia and, particularly Sydney, during the 1960s, the ways that they were envisaged and used and insights into their reception and success. Research limitations/implications – As with oral history, written testimony has limitations as a methodology due to its reliance on memory, requiring both sophisticated and cautious readings of the data. Originality/value – The methodology used in this paper is unique in this context and provides new understandings of Australian retail property development. For current marketers, the historically constituted relationship between people and place offers potential for community targeted promotional campaigns.

Letture interpretative degli spazi della produzione e del consumo della regione urbana di Barcellona

TERRITORIO ◽  
2009 ◽  
pp. 28-34
Author(s):  
Lorena Vecslir ◽  
Antonio Font
Keyword(s):  
Large Scale ◽  
Morphological Analysis ◽  
Cutting Edge ◽  
Spatial Proximity ◽  
Urban Region ◽  
Rational Use ◽  
Industrial Estates ◽  
Shopping Centres

- The article discusses the findings of in-depth research into the reorganisation of settlements in the urban region of Barcelona following the construction of new transport infrastructures. The study, which combines geographical readings with a detailed functional and morphological analysis of several ‘fragments' of the area, focuses mostly on the system for locating shopping centres and industrial estates, both of which have played key innovative roles in the recent local transformations. In the case of the shopping centres one is dealing with new forms of organised distribution, while as regards industrial estates it is the development of cutting-edge technology that holds sway. The construction of these large-scale complexes is inseparable from the formation of new centres, some of which are characterised by functional specialisation, others by the synergy between compatible activities that exploit their spatial proximity in terms of capacity to attract and rational use of common services.

scholarly journals Land Use/Cover Change Detection and Urban Sprawl Analysis in Bandar Abbas City, Iran

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Mohsen Dadras ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Urban Sprawl ◽  
Large Scale ◽  
Land Use Changes ◽  
Urban Region ◽  
Aerial Photos ◽  
Bandar Abbas ◽  
The City

The process of land use change and urban sprawl has been considered as a prominent characteristic of urban development. This study aims to investigate urban growth process in Bandar Abbas city, Iran, focusing on urban sprawl and land use change during 1956–2012. To calculate urban sprawl and land use changes, aerial photos and satellite images are utilized in different time spans. The results demonstrate that urban region area has changed from 403.77 to 4959.59 hectares between 1956 and 2012. Moreover, the population has increased more than 30 times in last six decades. The major part of population growth is related to migration from other parts the country to Bandar Abbas city. Considering the speed of urban sprawl growth rate, the scale and the role of the city have changed from medium and regional to large scale and transregional. Due to natural and structural limitations, more than 80% of barren lands, stone cliffs, beach zone, and agricultural lands are occupied by built-up areas. Our results revealed that the irregular expansion of Bandar Abbas city must be controlled so that sustainable development could be achieved.

scholarly journals A New Data-Enabled Intelligence Framework for Evaluating Urban Space Perception

2021 ◽  
Vol 10 (6) ◽  
pp. 400
Author(s):  
Haohao Ji ◽  
Linbo Qing ◽  
Longmei Han ◽  
Zhengyong Wang ◽  
Yongqiang Cheng ◽  
...  
Keyword(s):  
Urban Planning ◽  
Built Environment ◽  
Urban Environment ◽  
Urban Space ◽  
Large Scale ◽  
Urban Region ◽  
Economic Data ◽  
Economic Dimension ◽  
Visual Elements ◽  
Human Perceptions

The urban environment has a great impact on the wellbeing of citizens and it is of great significance to understand how citizens perceive and evaluate places in a large scale urban region and to provide scientific evidence to support human-centered urban planning with a better urban environment. Existing studies for assessing urban perception have primarily relied on low efficiency methods, which also result in low evaluation accuracy. Furthermore, there lacks a sophisticated understanding on how to correlate the urban perception with the built environment and other socio-economic data, which limits their applications in supporting urban planning. In this study, a new data-enabled intelligence framework for evaluating human perceptions of urban space is proposed. Specifically, a novel classification-then-regression strategy based on a deep convolutional neural network and a random-forest algorithm is proposed. The proposed approach has been applied to evaluate the perceptions of Beijing and Chengdu against six perceptual criteria. Meanwhile, multi-source data were employed to investigate the associations between human perceptions and the indicators for the built environment and socio-economic data including visual elements, facility attributes and socio-economic indicators. Experimental results show that the proposed framework can effectively evaluate urban perceptions. The associations between urban perceptions and the visual elements, facility attributes and a socio-economic dimension have also been identified, which can provide substantial inputs to guide the urban planning for a better urban space.

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