Spatial Correlation Network of Format in the Central Districts of a Megacity: The Case of Shanghai

Hu, Xinyu; Yang, Huiya; Yang, Junyan; Zhang, Zhonghu

doi:10.3390/su11195191

Cited by 3 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the application of big data in urban and rural planning, some scholars have begun using big data such as POI (Point of Interest) 9 and night-time light data 10 to identify urban spatial structure 11 and explore the connection among urban centres 12 , moreover, some scholars have used big data to further refine the functions of urban centres and study the spatial distribution of employment and commercial centres from the city level 13 , 14 . POI data have been used to analyse the spatial structure and clustering characteristics of urban commercial centres 15 , 16 , and further analyse their spatial and temporal evolution characteristics 17 .…”

Section: Introductionmentioning

confidence: 99%

Comprehensive strength evaluation system of commercial centres based on multi-source data: a case of Hefei central city

Chen,

Gan,

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Urban commercial centres are the most concentrated areas of economic activity. Understanding the spatial distribution pattern and comprehensive strength of urban commercial centres is important to guide the reasonable graded allocation of urban commercial space, spatial structure optimization and sustainable development of the commercial economy. Herein, mobile phone signalling data are used to identify the functional connection between recreational and residential places and local spatial autocorrelation analysis is used to identify the 24 commercial centres in the central city of Hefei. The comprehensive strength evaluation system of commercial centres is constructed from their basic conditions and customer consumption behaviours, and their comprehensive strength indices are accordingly measured and graded. The spatial distribution characteristics of commercial centres at all levels are analysed, and optimisation suggestions are made for the whole area and region. The following conclusions are drawn from the results of this study. (1) Compared to traditional single-perspective evaluations, the developed comprehensive strength evaluation system considers supply and demand perspectives for commercial centres, providing a more holistic and accurate portrayal of the strengths of various centres within a region. (2) The current commercial centres are characterised by ‘large dispersion and small concentration’ in spatial and hierarchical distribution. (3) The commercial centres in Hefei have formed a relatively complete ‘first, second, and third level’ commercial centre system, with the first level as the core and relying on the urban road system to form a network spatial connection. (4) Most of the commercial centres are concentrated in the First Ring Road, Swan Lake in the Government Affairs District and Binhu Century Town Estate, while most areas north of the Second Ring Road and Binhu New District still lack large-scale commercial centres. This study provides a technical reference for analysing urban commercial spatial structure patterns and provides decision support for optimising the spatial layout of urban commercial service functions.

show abstract

Section: Introductionmentioning

confidence: 99%

Comprehensive strength evaluation system of commercial centres based on multi-source data: a case of Hefei central city

Chen,

Gan,

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…It is imperative to underline that the land space composition pattern of China's megacities differs greatly from that of foreign metropolises [27]. The proportion of industrial land in China's megacities exceeds that of other cities [28,29]. As megacities progress beyond the industrialization phase and transition into an era defined by a service-and innovation-driven economy, the preeminent theme in urban land development transmutes from "expansion" to "convergence and agglomeration" [30,31].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Evolution of Urban Expansion along Suburban Railway Lines in Megacities Based on Multi-Source Data: A Case Study of Beijing, China

Tang,

Yan,

Liu

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Suburban railways in megacities exert a pivotal role in propelling urbanization and shaping urban agglomeration. However, previous study endeavors have overlooked the transformations occurring in urban expansion along suburban railways, with a particular dearth of attention on the spatio-temporal evolution of landscape ecology and urban function. Therefore, this study employs the megacity of Beijing as an example. It utilizes remote sensing and point-of-interest (POI) data spanning from 2008 to 2022 to construct an indicator system from two essential dimensions: urban form and function. We explored the spatio-temporal characteristics of alterations in urban expansion within the gradient buffer zone adjacent to the suburban railway network in Beijing. The results showed that: (1) The rates of urban expansion were highest in 2008–2013 and lowest in 2013–2018; moreover, suburban railways had the greatest impact on the built-up area within 2–4 km along the route, and the impact gradually decreased beyond 4 km. (2) The direction of urban expansion shifted northward in the direction of latitude and eastward in the direction of longitude from 2008 to 2022, with the shift in latitude being more distinct. (3) The number of urban functions gradually increased from 2008 to 2018, but the number of medical services suddenly increased and the number of other urban functions decreased from 2018 to 2022; in addition, urban functions other than scenic spots were mainly distributed in the main urban areas, with very few clusters distributed near stations. (4) The landscape shape index became more irregular and fragmented from the center along the route to the edge of the buffer zone from 2008 to 2013, and the degree of fragmentation was highest in the 2–4 km buffer zone. In summary, this paper analyzes the spatio-temporal characteristics of urban expansion along suburban railways through four indexes, namely expansion rate, expansion direction, urban function, and landscape shape, and the results of this study are of great significance to the development and planning of suburban railways in megacities.

show abstract

“…The existing studies mainly focus on spatial economics of APs [3], logistics efficiency [4,5], supply chain coordination [6], operation of cold-chain logistics [7], to name but a few. Based on the spatial economics theory, some scholars discussed the economic issues of logistics in the spatial dimension [8], and analyzed regional economic changes based on spatial interaction [9], highlighting the importance of the coupled operations between economy, resources and environment to the sustainability of urban development [10,11]. Some scholars evaluated how economic growth is influenced by the capacity of F&V production agglomeration and the spatial clustering of cold-chain logistics [12,13], and proved that spatial proximity, a key metric of agglomeration, is an important feature of cold-chain logistics.…”

Section: Introductionmentioning

confidence: 99%

Spatial Coupling Between Specialized Production of Fruits and Vegetables and Front-End Cold-Chain Logistics

Hong¹,

Wu²,

Ran³

et al. 2020

IJDNE

View full text Add to dashboard Cite

The production and supply of fresh agricultural products (APs) vary greatly with seasons and regions. However, there is no seasonality or regionality in consumer demand for such products. The supply-demand contradiction hinders the coordinated development of agriculture and logistics. To solve the contradiction, this paper measures the level of fruit and vegetable (F&V) specialized production, and evaluates the quality of front-end coldchain (FECC) logistics. Next, the coupling degree model was extended into a coupling coordination model. Taking Xinjiang as the study area, the authors empirically analyzed the coupling coordination between the specialized production level of vegetables and the quality of FECC logistics, and that between the specialized production level of fruits and the quality of FECC logistics. The results show that the spatial coupling coordination between F&V specialized production and FECC logistics is relatively low in Xinjiang; the dynamic coupling coordination between fruit industry and FECC logistics is lower than that between vegetable industry and FECC logistics; the incoordination and slight coordination are attributable to the insufficient supports of FECC logistics, and the low strength of specialized production. Finally, several countermeasures were put forward to improve the coupling coordination between F&V specialized production and FECC logistics in Xinjiang. The research findings shed new light on sustainable development of cold chain logistics for fresh APs.

show abstract

Spatial Correlation Network of Format in the Central Districts of a Megacity: The Case of Shanghai

Cited by 3 publications

References 16 publications

Comprehensive strength evaluation system of commercial centres based on multi-source data: a case of Hefei central city

Comprehensive strength evaluation system of commercial centres based on multi-source data: a case of Hefei central city

Spatio-Temporal Evolution of Urban Expansion along Suburban Railway Lines in Megacities Based on Multi-Source Data: A Case Study of Beijing, China

Spatial Coupling Between Specialized Production of Fruits and Vegetables and Front-End Cold-Chain Logistics

Contact Info

Product

Resources

About