Development and Planning in Seven Major Coastal Cities in Southern and Eastern China

Kee, Gordon; Shen, Jianfa

doi:10.1007/978-3-319-46421-3

Cited by 14 publications

(14 citation statements)

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Section: Study Area and Data Sourcementioning

confidence: 99%

“…Seven of the districts (Changning, Hongkou, Huangpu, Jingan, Putuo, Xuhui, and Yangpu) are located in Puxi (literally Huangpu West). These seven districts are referred as downtown Shanghai or the city center [85,86], as shown in Figure 1. In addition to the information available in Weibo dataset like user id, date, and time, we also have additional metadata like gender, geo-location (longitude and latitude), venue name, and category, but no personal information like the name is available.…”

Section: Study Area and Data Sourcementioning

confidence: 99%

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Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play

Muhammad

Wan

Cervantes

et al. 2018

IJGI

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Population density and distribution of services represents the growth and demographic shift of the cities. For urban planners, population density and check-in behavior in space and time are vital factors for planning and development of sustainable cities. Location-based social network (LBSN) data seems to be a complement to many traditional methods (i.e., survey, census) and is used to study check-in behavior, human mobility, activity analysis, and social issues within a city. This check-in phenomenon of sharing location, activities, and time by users has encouraged this research on gender difference and frequency of using LBSN. Therefore, in this study, we investigate the check-in behavior of Chinese microblog Sina Weibo (referred as "Weibo") in 10 districts of Shanghai, China, for which we observe the gender difference and their frequency of use over a period. The mentioned districts were spatially analyzed for check-in spots by kernel density estimation (KDE) using ArcGIS. Furthermore, our results reveal that female users have a high rate of social media use, and significant difference is observed in check-in behavior during weekdays and weekends in the studied districts of Shanghai. Increase in check-ins is observed during the night as compared to the morning. From the results, it can be assumed that LBSN data can be helpful to observe gender difference.

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Section: Study Area and Data Sourcementioning

confidence: 99%

Section: Study Area and Data Sourcementioning

confidence: 99%

Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play

Muhammad

Wan

Cervantes

et al. 2018

IJGI

View full text Add to dashboard Cite

show abstract

“…Seven of the districts (Changning, Hongkou, Huangpu, Jingan, Putuo, Xuhui, and Yangpu) are located in Puxi (literally Huangpu West). These seven districts are referred to as the city center [84,85] as shown in Figure 1. For the current study, ten districts of Shanghai (Baoshan, Changning, Hongkou, Huangpu, Jingan, Minhang, Pudong New Area, Putuo, Xuhui, and Yangpu) are analyzed, which are connected to the city center.…”

Section: Dataset and Study Areamentioning

confidence: 99%

Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data

Muhammad

Wan

2018

Information

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With rapid advancement in location-based services (LBS), their acquisition has become a powerful tool to link people with similar interests across long distances, as well as connecting family and friends. To observe human behavior towards using social media, it is essential to understand and measure the check-in behavior towards a location-based social network (LBSN). This check-in phenomenon of sharing location, activities, and time by users has encouraged this research on the frequency of using an LBSN. In this paper, we investigate the check-in behavior of several million individuals, for whom we observe the gender and their frequency of using Chinese microblog Sina Weibo (referred as “Weibo”) over a period in Shanghai, China. To produce a smooth density surface of check-ins, we analyze the overall spatial patterns by using the kernel density estimation (KDE) by using ArcGIS. Furthermore, our results reveal that female users are more inclined towards using social media, and a difference in check-in behavior during weekday and weekend is also observed. From the results, LBSN data seems to be a complement to traditional methods (i.e., survey, census) and is used to study gender-based check-in behavior.

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“…REGIONAL DEVELOPMENT Since the industrial revolution in the 18th century, the importance of cities as engines within modern economies is affirmative [12]- [16]. In recent years, there has been significant debate about the effectiveness of central cities as catalysts for economic growth and regional development.…”

Section: Theoretical Foundation and Concepts Ofmentioning

confidence: 99%

“…Many scholars and commentators have asked whether Chinese cities offer an alternative model for urban development in developing countries. The reliance on coastal cities as drivers of economic growth is anything but new for China's development, with the signing of the treaty of Manning after China's defeat in the opium war in the mid-1800s, which forced many old Chinese coastal and river cities (known as treaty ports) to open up to foreign trade, which led to the industrialization and competitiveness of Chinese coastal cities by a newly industrialized Britain [16].…”

Section: Chinamentioning

confidence: 99%

Coastal Regional Development in South Africa Through Special Economic Zones

Mdlalose

Taylor

2019

WIT Transactions on the Built Environment

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Coastal cities in many parts of the world are usually seen as the most industrialized and developed in their respective regions. However, many of these towns and cities in both the developed and developing world have begun deteriorating, due to their unchanged role of trade facilitation through ports in a fast evolving and technologically innovating society. In the era of post-colonial industrialization some have struggled to drive national economies or even spread development to neighbouring cities and towns through the effects of trickle-down and spread, this is especially prevalent in previously colonialized regions. Interesting to note is the general consensus amongst many scholars that suggests a strong correlation exists between the geographic advantage of the coast and that of industrialization-led economic growth. With this said, it is also equally significant to appreciate that economic benefits sown from the geographical advantage do not come without complexities for many of these coastal cities and towns. As has been largely documented, post-colonial industrial and spatial planning in many of the developing countries, particularly in eastern Asia, has been through environmentally sustainable and pragmatic economic structural reforms and industrial policies by the state, rather than explicit market driven development. The research objectives of the study were two-fold: the study sought to explore the historical context and transformation of coastal cities during the colonial era in China and Malaysia -this section discusses the reforms through Special Economic Zones as a means of reducing spatial inequality. The second part assesses the spatial discourse in South Africa and poses recommendations on the possible revitalization of the coastal region through a spatial targeting approach that encourages spatial diffusion and growth to support the inclusivity of small towns and secondary cities on the south African coastal region.

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Development and Planning in Seven Major Coastal Cities in Southern and Eastern China

Cited by 14 publications

References 0 publications

Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play

Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play

Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data

Coastal Regional Development in South Africa Through Special Economic Zones

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