IDEAS home Printed from https://ideas.repec.org/a/bla/rgscpp/v15y2023i9p1893-1906.html
   My bibliography  Save this article

Using mobile phone data to probe the mobility‐related well‐being of rural residents: A case study of Chengdu, China

Author

Listed:
  • Xuesong Gao
  • Lun Liu
  • Dinghua Ou
  • Haomiao Yuwu

Abstract

Mobility is the foundation of taking part in social and economic life, and is related to equity, quality of life, and other social concerns. While mobility is a large issue in rural areas due to the dispersion of people and facilities, rural mobility is much less evaluated and understood compared with urban travel. This paper employs mobile phone Big Data, which is still novel for rural studies, to examine the spatial pattern and factors influencing rural mobility using Chengdu, China, as the case. The results demonstrate a complex pattern of rural mobility in a time of rural transformation: a number of deep rural areas show a large spatial range and diversity of residents’ movements. Nonetheless, statistical results suggest that rural residents living farther away from cities and towns are still generally less mobile. To enhance the equity of mobility among rural residents, policies could focus on improving public transport service and continuing with certain positive aspects of current rural spatial policy. La movilidad es la base de la participación en la vida social y económica, y está relacionada con la equidad, la calidad de vida y otras preocupaciones sociales. Aunque la movilidad es un gran problema en las zonas rurales debido a la dispersión de las personas y las instalaciones, la evaluación y la comprensión de la movilidad rural es mucho menor en comparación con los desplazamientos urbanos. Este artículo emplea macrodatos de telefonía móvil, lo cual es aún novedoso para los estudios rurales, con el fin de examinar el patrón espacial y los factores que influyen en la movilidad rural utilizando Chengdu (China) como ejemplo. Los resultados demuestran un patrón complejo de movilidad rural en una época de transformación rural: varias zonas rurales profundas muestran una gran amplitud espacial y diversidad de movimientos de los residentes. No obstante, los resultados estadísticos sugieren que los residentes rurales que viven más alejados de las ciudades y pueblos siguen siendo, en general, menos móviles. Para aumentar la equidad de la movilidad entre los residentes rurales, las políticas podrían centrarse en mejorar el servicio de transporte público y continuar con ciertos aspectos positivos de la actual política espacial rural. モビリティは、社会生活や経済生活に参加するための基盤であり、公平性、生活の質、その他の社会的関心事に関連するものである。モビリティは、人が少なく施設が分散している農村部における大きな問題となっているが、都市部のモビリティに比べると、農村部におけるモビリティはほとんど評価も理解もされていない。本稿では、農村部の研究においてははまだ新しい携帯電話のビッグデータを用いて、中国の成都を例として農村部のモビリティに影響する空間パターンと要因を検討する。結果から、農村改革の時代における農村におけるモビリティの複雑なパターンが示されるが、辺境の農村地域の多くにおいては、住民の移動は空間的範囲が大きく多様である。それにもかかわらず、統計的な結果からは、都市部や町から遠く離れて暮らす農村部の住民は、一般的にまだ移動の可能性が少ないことが示唆される。農村部の住民のモビリティの公平性を高めるために、現在の農村部の空間政策におけるプラスの面を継続しながら、公共交通サービスの改善を重視した政策を行うことは可能であると考えられる。

Suggested Citation

  • Xuesong Gao & Lun Liu & Dinghua Ou & Haomiao Yuwu, 2023. "Using mobile phone data to probe the mobility‐related well‐being of rural residents: A case study of Chengdu, China," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(9), pages 1893-1906, December.
  • Handle: RePEc:bla:rgscpp:v:15:y:2023:i:9:p:1893-1906
    DOI: 10.1111/rsp3.12604
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rsp3.12604
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rsp3.12604?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
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Zhao, Pengjun & Yu, Zhao, 2020. "Investigating mobility in rural areas of China: Features, equity, and factors," Transport Policy, Elsevier, vol. 94(C), pages 66-77.
    3. Sharma, Ajay & Chandrasekhar, S., 2014. "Growth of the Urban Shadow, Spatial Distribution of Economic Activities, and Commuting by Workers in Rural and Urban India," World Development, Elsevier, vol. 61(C), pages 154-166.
    4. Millward, Hugh & Spinney, Jamie, 2011. "Time use, travel behavior, and the rural–urban continuum: results from the Halifax STAR project," Journal of Transport Geography, Elsevier, vol. 19(1), pages 51-58.
    5. Julian Hine & Md. Kamruzzaman & Neale Blair, 2012. "Weekly activity-travel behaviour in rural Northern Ireland: differences by context and socio-demographic," Transportation, Springer, vol. 39(1), pages 175-195, January.
    6. John Pucher & John Renne, 2005. "Rural mobility and mode choice: Evidence from the 2001 National Household Travel Survey," Transportation, Springer, vol. 32(2), pages 165-186, March.
    7. Thomas Reardon & Kostas Stamoulis & Prabhu Pingali, 2007. "Rural nonfarm employment in developing countries in an era of globalization," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 173-183, December.
    8. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    9. 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.
    10. Porter, Gina, 2002. "Living in a Walking World: Rural Mobility and Social Equity Issues in Sub-Saharan Africa," World Development, Elsevier, vol. 30(2), pages 285-300, February.
    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. Kolodinsky, Jane M. & DeSisto, Thomas Patrick & Propen, David & Putnam, Matthew E. & Roche, Erin & Sawyer, William R., 2013. "It is not how far you go, it is whether you can get there: modeling the effects of mobility on quality of life in rural New England," Journal of Transport Geography, Elsevier, vol. 31(C), pages 113-122.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    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. Yu, Zhao & Zhao, Pengjun, 2021. "The factors in residents' mobility in rural towns of China: Car ownership, road infrastructure and public transport services," Journal of Transport Geography, Elsevier, vol. 91(C).
    2. Yuan, Dandan & Zhao, Pengjun & Yu, Zhao & Liu, Qiyang, 2023. "Villagers' travel burden and the built environment in rural China: Evidence from a national level survey," Journal of Transport Geography, Elsevier, vol. 113(C).
    3. Zhao, Pengjun & Yu, Zhao, 2021. "Rural poverty and mobility in China: A national-level survey," Journal of Transport Geography, Elsevier, vol. 93(C).
    4. Zhao, Pengjun & Yu, Zhao, 2020. "Investigating mobility in rural areas of China: Features, equity, and factors," Transport Policy, Elsevier, vol. 94(C), pages 66-77.
    5. Chunfang Liu & Bin Yu & Yue Zhu & Licheng Liu & Pengjie Li, 2019. "Measurement of Rural Residents’ Mobility in Western China: A Case Study of Qingyang, Gansu Province," Sustainability, MDPI, vol. 11(9), pages 1-21, April.
    6. 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).
    7. Miotti, Marco & Needell, Zachary A. & Jain, Rishee K., 2023. "The impact of urban form on daily mobility demand and energy use: Evidence from the United States," Applied Energy, Elsevier, vol. 339(C).
    8. 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.
    9. Chandrasekhar, S & Sharma, Ajay & Mishra, Sumit, 2017. "Transport Mode Choice for Commuting: Evidence from India," SocArXiv qh8m5, Center for Open Science.
    10. Huang, Xiaoyan & Xia, Yifan & Yin, Chun, 2024. "Associations between the built environment and travel to higher-order centers in Chinese rural areas," Journal of Transport Geography, Elsevier, vol. 119(C).
    11. Zhao, Pengjun & Wan, Jie, 2021. "Land use and travel burden of residents in urban fringe and rural areas: An evaluation of urban-rural integration initiatives in Beijing," Land Use Policy, Elsevier, vol. 103(C).
    12. Poorthuis, Ate & Zook, Matthew, 2023. "Moving the 15-minute city beyond the urban core: The role of accessibility and public transport in the Netherlands," Journal of Transport Geography, Elsevier, vol. 110(C).
    13. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    14. Combs, Tabitha S., 2017. "Examining changes in travel patterns among lower wealth households after BRT investment in Bogotá, Colombia," Journal of Transport Geography, Elsevier, vol. 60(C), pages 11-20.
    15. 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.
    16. 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.
    17. Elzbieta Szymanska & Zofia Koloszko-Chomentowska, 2022. "Sustainable Innovative Mobility Solutions Preferred by Inhabitants of Rural Areas—The Case of Lithuania and Poland," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    18. Kolodinsky, Jane M. & Battista, Geoffrey & Roche, Erin & Lee, Brian H.Y. & Johnson, Rachel K., 2017. "Estimating the effect of mobility and food choice on obesity in a rural, northern environment," Journal of Transport Geography, Elsevier, vol. 61(C), pages 30-39.
    19. Millward, Hugh & Spinney, Jamie & Scott, Darren, 2013. "Active-transport walking behavior: destinations, durations, distances," Journal of Transport Geography, Elsevier, vol. 28(C), pages 101-110.
    20. Wilson, Jeffrey & Spinney, Jamie & Millward, Hugh & Scott, Darren & Hayden, Anders & Tyedmers, Peter, 2013. "Blame the exurbs, not the suburbs: Exploring the distribution of greenhouse gas emissions within a city region," Energy Policy, Elsevier, vol. 62(C), pages 1329-1335.

    More about this item

    Statistics

    Access and download statistics

    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:bla:rgscpp:v:15:y:2023:i:9:p:1893-1906. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1757-7802 .

    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.