IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v96y2020ics0264837719321830.html
   My bibliography  Save this article

Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu

Author

Listed:
  • Liu, Lun
  • Gao, Xuesong
  • Zhuang, Jiexin
  • Wu, Wen
  • Yang, Bo
  • Cheng, Wei
  • Xiao, Pengfei
  • Yao, Xingzhu
  • Deng, Ouping

Abstract

Housing land consolidation and relocation has been widely implemented in rural China as a policy tool to reduce the area of built-up land, reclaim agricultural land, and redistribute the use of land. Despite of the large scale of implementation, the impact of this policy on the daily life of rural people is not sufficiently evaluated. Our work aims to fill in this gap by examining the daily activity pattern of rural residents in consolidated and unconsolidated villages through mobile phone locational data, using the Chengdu city-region as the case. One week’s locational data from all phone users of China Unicom was used. We found that housing land consolidation do not necessarily harm the daily life of rural residents, which has been a main concern of many research.

Suggested Citation

  • Liu, Lun & Gao, Xuesong & Zhuang, Jiexin & Wu, Wen & Yang, Bo & Cheng, Wei & Xiao, Pengfei & Yao, Xingzhu & Deng, Ouping, 2020. "Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu," Land Use Policy, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:lauspo:v:96:y:2020:i:c:s0264837719321830
    DOI: 10.1016/j.landusepol.2020.104623
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719321830
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2020.104623?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Knight, John & Deng, Quheng & Li, Shi, 2011. "The puzzle of migrant labour shortage and rural labour surplus in China," China Economic Review, Elsevier, vol. 22(4), pages 585-600.
    2. Mi Diao & Yi Zhu & Joseph Ferreira Jr & Carlo Ratti, 2016. "Inferring individual daily activities from mobile phone traces: A Boston example," Environment and Planning B, , vol. 43(5), pages 920-940, September.
    3. Yan Mao & Yanfang Liu & Haofeng Wang & Wei Tang & Xuesong Kong, 2017. "A Spatial-Territorial Reorganization Model of Rural Settlements Based on Graph Theory and Genetic Optimization," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    4. Demetriou, Demetris, 2018. "Automating the land valuation process carried out in land consolidation schemes," Land Use Policy, Elsevier, vol. 75(C), pages 21-32.
    5. Chengcheng Wang & Yanfang Liu & Xuesong Kong & Jiwei Li, 2017. "Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    6. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    7. Chen, Jie & Shaw, Shih-Lung & Yu, Hongbo & Lu, Feng & Chai, Yanwei & Jia, Qinglei, 2011. "Exploratory data analysis of activity diary data: a space–time GIS approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 394-404.
    8. Xuesong Gao & Lun Liu & Jiexin Zhuang & Dinghua Ou & Qiquan Li & Ouping Deng & Jianqiang Li & Min Zeng, 2019. "The commuting rural labour forces revealed by mobile phone trace data," Environment and Planning A, , vol. 51(8), pages 1611-1614, November.
    9. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    10. Peter Widhalm & Yingxiang Yang & Michael Ulm & Shounak Athavale & Marta González, 2015. "Discovering urban activity patterns in cell phone data," Transportation, Springer, vol. 42(4), pages 597-623, July.
    11. Yang Xu & Shih-Lung Shaw & Ziliang Zhao & Ling Yin & Feng Lu & Jie Chen & Zhixiang Fang & Qingquan Li, 2016. "Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 489-502, March.
    12. Shen, Yue & Kwan, Mei-Po & Chai, Yanwei, 2013. "Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China," Journal of Transport Geography, Elsevier, vol. 32(C), pages 1-11.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yihu Zhou & Tingting Fang, 2023. "How Migration Behavior Affects the Contracted Land Disposal Methods of Rural Migrants in China: An Analysis Based on the Perspective of Geographical Differences," Land, MDPI, vol. 12(6), pages 1-19, May.
    2. Peng Tang & Jing Chen & Jinlong Gao & Min Li & Jinshuo Wang, 2020. "What Role(s) Do Village Committees Play in the Withdrawal from Rural Homesteads? Evidence from Sichuan Province in Western China," Land, MDPI, vol. 9(12), pages 1-15, November.
    3. Qiqi Yin & Shenglu Zhou & Chengxiang Lv & Yang Zhang & Xueyan Sui & Xiaorui Wang, 2022. "Comprehensive Land Consolidation as a Tool to Promote Rural Restructuring in China: Theoretical Framework and Case Study," Land, MDPI, vol. 11(11), pages 1-17, October.
    4. Basista, Izabela & Balawejder, Monika, 2020. "Assessment of selected land consolidation in south-eastern Poland," Land Use Policy, Elsevier, vol. 99(C).
    5. Yishao Shi & Haoran Ren & Xiatong Guo & Tianhui Tao, 2020. "Implementation and Advancement of a Rural Residential Concentration Strategy in the Suburbs of Shanghai," Land, MDPI, vol. 9(10), pages 1-17, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fangye Du & Jiaoe Wang & Liang Mao & Jian Kang, 2024. "Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    2. Gang Zhong & Tingting Yin & Jian Zhang & Shanglu He & Bin Ran, 2019. "Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data," Transportation, Springer, vol. 46(5), pages 1713-1736, October.
    3. Yaxi Gong & Xiang Ji & Yuan Zhang & Shanshan Cheng, 2023. "Spatial Vitality Evaluation and Coupling Regulation Mechanism of a Complex Ecosystem in Lixiahe Plain Based on Multi-Source Data," Sustainability, MDPI, vol. 15(3), pages 1-32, January.
    4. Claudio Gariazzo & Armando Pelliccioni & Maria Paola Bogliolo, 2019. "Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy," Data, MDPI, vol. 4(1), pages 1-25, January.
    5. Zhou, Yang & Thill, Jean-Claude & Xu, Yang & Fang, Zhixiang, 2021. "Variability in individual home-work activity patterns," Journal of Transport Geography, Elsevier, vol. 90(C).
    6. Yang, Xiong & Zhuge, Chengxiang & Shao, Chunfu & Huang, Yuantan & Hayse Chiwing G. Tang, Justin & Sun, Mingdong & Wang, Pinxi & Wang, Shiqi, 2022. "Characterizing mobility patterns of private electric vehicle users with trajectory data," Applied Energy, Elsevier, vol. 321(C).
    7. Xuesong Gao & Hui Wang & Lun Liu, 2021. "Profiling Residents’ Mobility with Grid-Aggregated Mobile Phone Trace Data Using Chengdu as the Case," Sustainability, MDPI, vol. 13(24), pages 1-13, December.
    8. Zhang, Shanqi & Yang, Yu & Zhen, Feng & Lobsang, Tashi & Li, Zhixuan, 2021. "Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach," Journal of Transport Geography, Elsevier, vol. 90(C).
    9. Álvarez, Inmaculada C. & Orea, Luis & Perez-Mendez, Jose A., 2019. "Rural and agricultural development by land consolidation: a spatial production analysis of Asturias´ parishes," Efficiency Series Papers 2019/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Ertunç, Ela & Karkınlı, Ahmet Emin & Bozdağ, Aslı, 2021. "A clustering-based approach to land valuation in land consolidation projects," Land Use Policy, Elsevier, vol. 111(C).
    11. Orea, Luis & José A. Pérez-Méndez & Álvarez, Inmaculada C., 2021. "Does land consolidation promote livestock production and combat rural depopulation? A multi-cohort multi-treatment Difference-in-Difference analysis of parishes in northern Spain," Efficiency Series Papers 2021/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Zhang, Xiaohu & Xu, Yang & Tu, Wei & Ratti, Carlo, 2018. "Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage," Journal of Transport Geography, Elsevier, vol. 70(C), pages 78-90.
    13. Yuqi Chen & Zongyao Sun & Liangwa Cai, 2021. "Population Flow Mechanism Study of Beijing-Tianjin-Hebei Urban Agglomeration from Industrial Space Supply Perspective," Sustainability, MDPI, vol. 13(17), pages 1-15, September.
    14. Xingang Zhou & Anthony GO Yeh & Weifeng Li & Yang Yue, 2018. "A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data," Environment and Planning B, , vol. 45(3), pages 434-451, May.
    15. Mariem Fekih & Tom Bellemans & Zbigniew Smoreda & Patrick Bonnel & Angelo Furno & Stéphane Galland, 2021. "A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)," Transportation, Springer, vol. 48(4), pages 1671-1702, August.
    16. Yang Xu & Shih-Lung Shaw & Ziliang Zhao & Ling Yin & Zhixiang Fang & Qingquan Li, 2015. "Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach," Transportation, Springer, vol. 42(4), pages 625-646, July.
    17. Shenjing He & Chenxi Li & Yang Xiao & Qiyang Liu, 2022. "Examining neighborhood effects on residents’ daily activities in central Shanghai, China: Integrating “big data†and “thick dataâ€," Environment and Planning B, , vol. 49(7), pages 2011-2028, September.
    18. Xiaofang Pan & Mei-Po Kwan & Lin Yang & Shunping Zhou & Zejun Zuo & Bo Wan, 2018. "Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach," IJERPH, MDPI, vol. 15(9), pages 1-21, September.
    19. Lijun Sun & Xinyu Chen & Zhaocheng He & Luis F. Miranda-Moreno, 2023. "Routine Pattern Discovery and Anomaly Detection in Individual Travel Behavior," Networks and Spatial Economics, Springer, vol. 23(2), pages 407-428, June.
    20. Kim, Kyoungok, 2018. "Exploring the difference between ridership patterns of subway and taxi: Case study in Seoul," Journal of Transport Geography, Elsevier, vol. 66(C), pages 213-223.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:96:y:2020:i:c:s0264837719321830. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.