Inicio  /  Buildings  /  Vol: 13 Par: 8 (2023)  /  Artículo
ARTÍCULO
TITULO

Supply?Demand Matching of Smart Parcel Lockers in a Residential Area: Insights from Tianjin

Mengyue Ding    
Yan Song and Yike Hu    

Resumen

The COVID-19 pandemic has led to a surge in the use of self-service facilities (SSFs) in residential areas worldwide. Previous studies on SSFs mainly focused on their application in commercial or other scenarios. However, SSFs in residential areas have not been thoroughly studied. This study develops an analytical framework for assessing both the supply and demand for SSFs in residential areas. The study evaluates 2693 residential communities and 479 smart parcel lockers (SPLs) in Tianjin, China. The results show that the high-demand area for SPLs is within 300 m of home, while the high-supply area is 300?600 m from home. Further analysis using the Gini coefficient and location quotient shows that the top 20% of the population have access to 80% of SPLs, and most residential communities experience an oversupply. Our study suggests that a mismatch between the supply and demand of SPLs may result in massive public space waste, resource waste, and inequity. Given the many uncertainties of the future, this study highlights the need to consider the dynamic supply?demand relationship of SSFs. This may encourage urban planners, policymakers, and experts in other related disciplines to work towards a more service-efficient and equitable utilization of SSFs in residential areas.

 Artículos similares

       
 
Sitalakshmi Venkatraman, Fahri Benli, Ye Wei and Fiona Wahr    
The development of Industry 4.0 revolutionising the concept of automation and digitisation in an organisation poses a huge challenge in employee knowledge and skills to cope with the huge leap from Industry 3.0. The high-level digitisation of an organisa... ver más
Revista: Future Internet

 
Sidong Zhao, Ping Zhang and Weiwei Li    
Smart construction enterprises are the key subjects in the development and practical transformation of smart building technology, and their sustainable development has been a hot research topic in the new era. In the context of the new round of technolog... ver más
Revista: Buildings

 
Xiao Zhou, Jiangpeng Tian, Jian Peng and Mingzhan Su    
Tourist attraction and tour route recommendation are the key research highlights in the field of smart tourism. Currently, the existing recommendation algorithms encounter certain problems when making decisions regarding tourist attractions and tour rout... ver más

 
Banqiao Chen, Chibiao Ding, Wenjuan Ren and Guangluan Xu    
High-quality digital road maps are essential prerequisites of location-based services and smart city applications. The massive and accessible GPS trajectory data generated by mobile GPS devices provide a new means through which to generate maps. However,... ver más

 
Sepehr Honarparvar, Sara Saeedi, Steve Liang and Jeremy Squires    
Emerging deep learning (DL) approaches with edge computing have enabled the automation of rich information extraction, such as complex events from camera feeds. Due to the low speed and accuracy of object detection, some objects are missed and not detect... ver más