The size ranking of cities in Germany: caught by a MAUP?

Budde, Rüdiger; Neumann, Uwe

doi:10.1007/s10708-018-9930-z

Cited by 14 publications

(12 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The urbanization of Western developed countries has undergone a long process. It took 80 years for the urbanization rate to rise from 30% to 70% in the United States [ 3 ], and about one hundred years in the United Kingdom [ 4 ] and Germany [ 5 ]. Japan is the country with the fastest urbanization rate among the developed countries, and it also took nearly 50 years to achieve this milestone [ 6 ].…”

Section: Literature Review and Theoretical Elaborationmentioning

confidence: 99%

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

Yang

Wang

Zhang

et al. 2020

IJERPH

View full text Add to dashboard Cite

In the context of the rapid development of urbanization and increasing population mobility in China, the outbreak of COVID-19 has had a significant impact on China’s economy and society. This article uses China UnionPay transaction data and takes Hubei, the worst-hit region by COVID-19 in China, as an example, to conduct empirical analysis using the generalized method of moments (GMM) of the impact of current urbanization patterns on the spread of the epidemic and economic recovery from the perspectives of time, industry, and regional differences. The study found that during the different stages of COVID-19, including discovery, outbreak, and subsidence, the overall impact of urbanization on the economy in Hubei Province was first positive, then became negative, and finally gradually increased. This process had significant industrial and urban heterogeneity, which was mainly manifested in losses in tourism and catering industries that were significantly greater than those in the audio-visual entertainment and digital office industries. Similarly, the recovery speed of large cities was lower than that of small and medium-sized cities. The main reason for these differences is that the one-sided problem of urbanization is more obvious in areas with higher urbanization rates. COVID-19 has drawn attention to the development of urbanization in the future, that is, the development path of one-sided economic resource agglomeration and scale expansion should be abandoned, with greater attention paid to the improvement of service functions and the development of amenities. This transformation is necessary to enhance urban economic resilience and reduce public health risks.

show abstract

Section: Literature Review and Theoretical Elaborationmentioning

confidence: 99%

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

Yang

Wang

Zhang

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“… 2006 ; Bergs 2018 ). Furthermore, CLARA (Clustering for Large Applications) and kernel density estimation are methods to classify space (e.g., Budde 2018 ; Budde and Neumann 2019 ). Several other statistical methods have been proposed.…”

Section: The Different Dimensions Of the Use Of Small-scale Spatial Datamentioning

confidence: 99%

The potential of small-scale spatial data in regional science

Bergs¹,

Budde

2022

Rev Reg Res

Self Cite

View full text Add to dashboard Cite

“…For the US, frequently cited studies-such as those by Krugman [42], using population data from 130 metropolitan areas, Gabaix [25], using population data for 1990 form the 135 largest metropolitan statistical areas, and Berry & Okulicz-Kozaryn [40], using a regionally-integrated economic area with a population greater than 500,000-have concluded that Zipf's law holds for these urban regions. Internationally, Giesen and Südekum [43] used population data of large cities in Germany and concluded that the city rank-size distribution followed the Zipfian power law, while Budde and Neumann [44] used a varying definition of urban region within Germany based on the population density across 1 km-square grid. These results indicated a moderate but systematic deviation away from Zipf's law when areas with lower density were included in the definition of urban regions [44].…”

Section: Literature Examining Zipf's Law In Developed Countriesmentioning

confidence: 99%

Rank-size Distribution of Cities and Municipalities in Bangladesh

Bajracharya¹,

Sultana²

2020

Sustainability

View full text Add to dashboard Cite

This paper examines and updates the rank-size distribution of cities and municipalities in Bangladesh between 1990 and 2019 based on two criteria: (1) built-up urban areas; and (2) population. The distribution of built-up urban areas and population are compared to provide a robust theoretical underpinning of Zipf’s law for future urban developmental planning framework. The data on built-up urban areas is extracted from land cover classification using Google Earth Engine and the population data is obtained from the decennial censuses. The comparison of the conformity to Zipf’s law indicated contradictory results. While a greater proportion of the population has been increasingly concentrated in the smaller and midsized cities over the last three decades, built-up urban areas, on the other hand, have been mostly clustered in two largest cities— Dhaka and Chittagong—accounting for 50 to nearly 60 percent of the total built-up urban areas. These results shed light on the magnitude of continued spatial inequalities in urban development amongst cities and municipalities in Bangladesh despite there being an overall increase of evenness in the distribution of population over time. These results imply an unsustainable rate of urban expansion in Bangladesh and reinforce the need for the exploration of policies and regulations targeted at guiding the rate and direction of evenness in urban expansion.

show abstract

The size ranking of cities in Germany: caught by a MAUP?

Cited by 14 publications

References 33 publications

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

The potential of small-scale spatial data in regional science

Rank-size Distribution of Cities and Municipalities in Bangladesh

Contact Info

Product

Resources

About