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With the development of urbanization, the increase in the urban resident population and human activities leads to significant changes in the urban spatial structure, resulting in more polycentric cities (Li and Li, 2019). An urban center, a crucial part of the urban structure and polycentric cities, refers to a continuous area with a higher population density or a more advanced level of economic development compared to its surrounding areas (Yang et al., 2022). In spatial planning, the development of polycentric cities is seen as an important strategy. Its aim is to ease the over-concentration of resources in big cities and enhance the overall regional competitiveness and social cohesion (Tang and Dou, 2022).
The polycentric clustered urban form is regarded as an ideal one in the urban planning field. Under reasonable layout conditions, the polycentric city can effectively promote the balanced development of different urban areas, enhance the degree of urban land mixed-use, and improve traffic accessibility (Burke, Dodson, and Gleeson, 2010; Bentlage, Müller, and Thierstein, 2021). However, the development of polycentric cities can also have a negative impact on urban mobility. For instance, the poor connectivity between different urban areas , especially the lack of public transportation services, makes the demand for cross-regional travel shift to private transportation. This leads to severe congestion on inter-regional roads, further worsening the quality of cross-regional travel (Song, 2019). Therefore, we studied the transportation network structure of polycentric cities to explore its influence on urban mobility.
This paper constructs a multimodal public transportation network model of Tianjin, a polycentric city, based on the complex network method. We employ the Louvain community-detection algorithm to divide different communities in Tianjin's multimodal public transportation network. Then, we calculate the topological structure characteristics of each community and analyze the mobility differences among them. We find that in the public transportation network, the network scale and internal connectivity of the central urban area and its surrounding areas are greater than those of other communities. There are significant differences in connectivity between different communities. Also, the subway plays a crucial role in cross-community travel.
Thus, the public transportation services in polycentric cities should focus on the differences in travel demands within and outside communities. They should improve inter-regional public transportation services in various modes and give full play to the subway's backbone role in long-distance cross-regional travel. This way, the quality of public transportation services in polycentric cities can be enhanced.
References
Bentlage, M., Müller, C. and Thierstein, A. (2021) Becoming more polycentric: public transport and location choices in the Munich Metropolitan Area, Urban Geography, 42(1), pp. 79–102.
Burke, M., Dodson, J. and Gleeson, B. (2010) Employment decentralisation in South East Queensland scoping the transport impacts, Research paper, 29, pp. 1861–1900.
Li, G. and Li, F. (2019) Urban sprawl in China: Differences and socioeconomic drivers, Science of The Total Environment, 673, pp. 367–377.
Song, J. (2019) Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques, Computers, Environment and Urban Systems, 77, 101364.
Tang, C. and Dou, J. (2022) Exploring the polycentric structure and driving mechanism of urban regions from the perspective of innovation network, Frontiers in Physics, 10, 855380.
Yang, Z. et al. (2022) Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data, Annals of GIS, 28, pp. 285–295.
| Keywords | Polycentric City; Community Detection; Complex Network; Public Transport |
|---|---|
| Best Congress Paper Award | No |
