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Profiling rapid urban transformation through urban mobility data in Shenzhen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Standard

Profiling rapid urban transformation through urban mobility data in Shenzhen. / Zhong, Chen; Luan, Zhaoliang; Shen, Yao; Li, Xiaoming; Tu, Wei.

The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data. Routledge Taylor & Francis Group, 2020.

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Harvard

Zhong, C, Luan, Z, Shen, Y, Li, X & Tu, W 2020, Profiling rapid urban transformation through urban mobility data in Shenzhen. in The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data. Routledge Taylor & Francis Group. https://doi.org/10.4324/9781315112954-7

APA

Zhong, C., Luan, Z., Shen, Y., Li, X., & Tu, W. (2020). Profiling rapid urban transformation through urban mobility data in Shenzhen. In The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data Routledge Taylor & Francis Group. https://doi.org/10.4324/9781315112954-7

Vancouver

Zhong C, Luan Z, Shen Y, Li X, Tu W. Profiling rapid urban transformation through urban mobility data in Shenzhen. In The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data. Routledge Taylor & Francis Group. 2020 https://doi.org/10.4324/9781315112954-7

Author

Zhong, Chen ; Luan, Zhaoliang ; Shen, Yao ; Li, Xiaoming ; Tu, Wei. / Profiling rapid urban transformation through urban mobility data in Shenzhen. The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data. Routledge Taylor & Francis Group, 2020.

Bibtex Download

@inbook{e814047aa46147cfa2ea7d43157d9f97,
title = "Profiling rapid urban transformation through urban mobility data in Shenzhen",
abstract = "This chapter discusses the use of automatically collected human mobility data for urban studies. Urban mobility data has been widely used in urban studies, taking advantage of its fine granularity of location information and wide coverage of population groups. The most popular data sources are mobile phone data, social media data and smart card data, all of which are available in Shenzhen. The development of information infrastructure and the advance of sensor technology have generated an enormous amount of data. Shenzhen{\textquoteright}s advance of data availability and research innovation resulted from various reasons, rooted in its economic development and policy which promoted the development of innovative industries. Mobility data refers to the kind of automatically collected human trajectory data that comes in large volume, updates frequently and most importantly with fine granularity. The analysed results show that Shenzhen is still undergoing rapid urban development, as changes were detected in local functions and overall structure even in a two-year interval.",
author = "Chen Zhong and Zhaoliang Luan and Yao Shen and Xiaoming Li and Wei Tu",
year = "2020",
doi = "10.4324/9781315112954-7",
language = "English",
booktitle = "The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data",
publisher = "Routledge Taylor & Francis Group",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Profiling rapid urban transformation through urban mobility data in Shenzhen

AU - Zhong, Chen

AU - Luan, Zhaoliang

AU - Shen, Yao

AU - Li, Xiaoming

AU - Tu, Wei

PY - 2020

Y1 - 2020

N2 - This chapter discusses the use of automatically collected human mobility data for urban studies. Urban mobility data has been widely used in urban studies, taking advantage of its fine granularity of location information and wide coverage of population groups. The most popular data sources are mobile phone data, social media data and smart card data, all of which are available in Shenzhen. The development of information infrastructure and the advance of sensor technology have generated an enormous amount of data. Shenzhen’s advance of data availability and research innovation resulted from various reasons, rooted in its economic development and policy which promoted the development of innovative industries. Mobility data refers to the kind of automatically collected human trajectory data that comes in large volume, updates frequently and most importantly with fine granularity. The analysed results show that Shenzhen is still undergoing rapid urban development, as changes were detected in local functions and overall structure even in a two-year interval.

AB - This chapter discusses the use of automatically collected human mobility data for urban studies. Urban mobility data has been widely used in urban studies, taking advantage of its fine granularity of location information and wide coverage of population groups. The most popular data sources are mobile phone data, social media data and smart card data, all of which are available in Shenzhen. The development of information infrastructure and the advance of sensor technology have generated an enormous amount of data. Shenzhen’s advance of data availability and research innovation resulted from various reasons, rooted in its economic development and policy which promoted the development of innovative industries. Mobility data refers to the kind of automatically collected human trajectory data that comes in large volume, updates frequently and most importantly with fine granularity. The analysed results show that Shenzhen is still undergoing rapid urban development, as changes were detected in local functions and overall structure even in a two-year interval.

U2 - 10.4324/9781315112954-7

DO - 10.4324/9781315112954-7

M3 - Chapter

BT - The Geography of Mobility, Wellbeing and Development in China Understanding Transformations Through Big Data

PB - Routledge Taylor & Francis Group

ER -

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