This paper employs a unique dataset to analyse the retail rental levels of 1108 retail tenants in 148 UK regional shopping malls. The dataset integrates information regarding the characteristics of the shopping centre, the individual retailer, the brand, the individual unit occupied, the tenancy term and the regional location of the centre. Econometric analysis suggests that retail rents behave largely as predicted by theory although there are particular features of the UK rental market which may be somewhat distinct from other countries.To the best of our knowledge, no previous UK or European work has been able to analyse the determinants of retail rents at such a comprehensive level of coverage or such a level of disaggregation. The dataset enables us to model rents in relation to tenant characteristics, mall characteristics and wider catchment characteristics: most prior research has a narrower focus, examining within-mall and tenant characteristics or spatial variations in rent, but not both simultaneously.

No abstract

Spatial complexity is not only one of the crucial sources of wayfinding problem within a shopping facility but also a significant determinant for space usage efficiency.The distribution of total floor area for a shopping mall is basically finding the optimum solution for tenant location/allocation and pedestrian flow plans. Normally, with higher spatial complexity, it is easier for shoppers to get lost and generate higher shopping costs; however, space usage flexibility could also be increased. Therefore, a good measurement for spatial complexity for shopping areas is needed. This paper compares several measurements for spatial complexity. The intention is to tackle the spatial complexity issue through four dimensions: forms and configurations, horizontal complexity, vertical movements and multiple-purposive users in mixed use environment. And the data is collected from the US, UK, Taiwan, Singapore, Hong Kong, Malaysia and Shanghai with more than 100 floorplans to explore the influential factors for spatial complexity within shopping centres. Using GIS, space syntax and other non-spatial techniques, this research suggests some interesting management issues and enhances the understanding of spatial complexity within a shopping environment.

No abstract

No abstract