Using a new approach for revealing the spatiotemporal patterns of functional urban polycentricity: A case study in the Tokyo metropolitan area

Liu, Kai; Murayama, Yuji; Ichinose, Toshiaki

doi:10.1016/j.scs.2020.102176

Cited by 29 publications

(16 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Globally, the shift of the urban structure from monocentric to polycentric has been widely recognized in the literature. Several cities in Europe, America, and Japan have formed polycentric urban spatial structures [7,46,47]. Recently, studies on the relationships between morphological and functional urban spatial structures have been performed.…”

Section: Discussionmentioning

confidence: 99%

Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China

Lai

Chen

et al. 2022

Land

View full text Add to dashboard Cite

Debate on the shift from a monocentric to polycentric urban structure has been extensive. Polycentricity generally refers to the co-existence of several centers in a city. Existing studies regarding China have mainly focused on the morphological characteristics of urban centers, but few recent studies have focused on functional dimensions of urban centers. Emerging big data sources provide new opportunities to explore the morphological and functional perspectives of urban spatial structure. This study uses mobile phone signaling data and develops a new methodology to measure urban centers’ functional centrality. The study area focuses on Shenzhen City, which has rapidly transformed from a village into a metropolitan city in the past few decades. As the first economic special zone in China, Shenzhen has adopted a polycentric urban plan since the beginning of the urbanization process. This study explores the spatial employment structure of the city from the morphological and function dimensions. Based on the findings, this study discusses the role of urban planning in forming an urban spatial structure and provides implications for future planning.

show abstract

Section: Discussionmentioning

confidence: 99%

Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China

Lai

Chen

et al. 2022

Land

View full text Add to dashboard Cite

show abstract

“…Moreover, the destinations and paths of taxis are limited to verification in a specific space because they are heavily dependent on catchment facilities such as airports and train stations. Using cab data alone (or other data from a single type of transportation) to identify patterns of the urban polycentric city at a metropolitan scale can engender several difficulties such as insufficient explanatory variables and weak spatial heterogeneity [27]. Furthermore, although cell phone data are excellent for elucidating short-term changes in amounts of human activity and spatial distribution, they entail the shortcoming of being unable to reflect the means and purposes of travel.…”

Section: Studies Examining Human Mobility To Core Area Plansmentioning

confidence: 99%

“…Furthermore, although cell phone data are excellent for elucidating short-term changes in amounts of human activity and spatial distribution, they entail the shortcoming of being unable to reflect the means and purposes of travel. Furthermore, because of privacy policies and data uncertainty, it has been difficult to ascertain personal characteristics such as detailed locations of residential and arrival points [27]. These are important challenges when considering the "UFIA hierarchy" described earlier herein.…”

Section: Studies Examining Human Mobility To Core Area Plansmentioning

confidence: 99%

Networked Compact City Policy Status and Issues—Hierarchy and Human Mobility in Tokyo, Japan

2021

View full text Add to dashboard Cite

As a policy to promote compact cities, Japan formulated the Location Normalization Plan (LNP) in 2014. By this plan, each municipality is promoting the establishment of Urban Function Induction-encouraged Areas (UFIA) in which life service facilities are to be provided. The role of the UFIA in the region might differ depending on the city scale and the UFIA hierarchy. For this study, using the Tokyo Person Trip survey, we specifically examined the mobility of people and clarified differences in the hierarchical nature of UFIA to ascertain the current status and issues of UFIA. Consequently, we obtained the following information for the realization of compactness. (1) The actual conditions of traffic characteristics and facilities differ depending on the UFIA hierarchy. Moreover, considering these hierarchies during the study of UFIA is important. (2) Sub-core UFIA in cities with a large population have a narrow usage area and a high ratio of traffic-sharing between walking and bicycling, which might engender the construction of compact living areas. (3) However, sub-core UFIA in cities with a small population have a high ratio of traffic-sharing of automobiles and a wide usage area, which presents challenges for compact city realization.

show abstract

“…Accurate identification of urban functional areas and a clear urban spatial structure are of great significance to the proper planning of urban spatial layout and sustainable urban development [5][6][7]. e identification of urban functional areas is a vital prerequisite for clarifying the spatial arrangement of industries [8,9], accurately grasping the urban spatial pattern [5,10], and effectively assessing the status of urban development [10][11][12]. It can analyze the disadvantages of urban development [13] and provide accurate decision support on issues such as the redistribution of urban public resources [14].…”

Section: Introductionmentioning

confidence: 99%

“…ese methods have played a significant role in early urban planning and industrial layout [5,8,10,22,23]. With the advent of the informatization big data era, multisource emerging data such as mobile phone signaling, taxi trajectory, check-in data, and POI (points of interests) have promoted quantitative research urban functional area identification further [25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China

Xie

Zhao

et al. 2021

Complexity

View full text Add to dashboard Cite

The rational allocation of functional areas is the foundation for addressing the sustainable development of cities. Efficient and accurate identification methods of urban functional areas are of great significance to the adjustment and testing of urban planning and industrial layout optimization. Firstly, by employing multisource geographic data, an identification method of urban functional areas was developed. A quantitative measurement approach of the urban functional area was then established considering the comprehensive effects of human-land, space-time, and thematic information to present the covering area of ground objects, public awareness, and empirical research. Finally, the Zhengzhou city, which locates in Henan province of central China, was used to test the method. The results show that the developed method is efficient, accurate, and universal and can identify urban functional areas quickly and accurately. We found that the overall distribution of Zhengzhou’s functional areas presents a spatial pattern of single and multimixed coordinated development. The city’s commercial functional areas and commercial-based mixed functional areas are located in the city’s central area. The green square’s function area occupies relatively low and is mainly distributed in the city’s fringe.

show abstract

Using a new approach for revealing the spatiotemporal patterns of functional urban polycentricity: A case study in the Tokyo metropolitan area

Cited by 29 publications

References 57 publications

Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China

Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China

Networked Compact City Policy Status and Issues—Hierarchy and Human Mobility in Tokyo, Japan

Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China

Contact Info

Product

Resources

About