IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i9p1598-d111236.html
   My bibliography  Save this article

Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar

Author

Listed:
  • Satomi Kimijima

    (School of Engineering and Technology, Asian Institute of Technology, Moo 9 km 42 Phaholyothin Rd, Klong Nueng, Klong Luang, Pathumthani 12120, Thailand)

  • Masahiko Nagai

    (School of Engineering and Technology, Asian Institute of Technology, Moo 9 km 42 Phaholyothin Rd, Klong Nueng, Klong Luang, Pathumthani 12120, Thailand
    Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 755-8611, Japan)

Abstract

Understanding human mobility patterns provides knowledge about impacts of a socio-economic transformation in a rapidly urbanizing environment. This study assesses a long-term mobility data which uses a face-to-face questionnaire and GPS logger-based method of data collection for extracting socio-economic impacts from the rapid transformation. Conversion of mobility related information such as travel distance, direction, and time from the questionnaire survey into spatiotemporal information was carried out by developing an algorithm. To illustrate the proposed approach, a case study in Dawei Special Economic Zone, Myanmar was conducted. The results show that the questionnaire-based mobility data can be associated with GPS-based mobility data and diverse mobility patterns are found for different social groups in the stage of urban formation. The results enabled an understanding of the human dynamics in interactions, which can be used for monitoring rural sustainability and its challenges in the future with the background of the accelerated project development in the area.

Suggested Citation

  • Satomi Kimijima & Masahiko Nagai, 2017. "Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1598-:d:111236
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/9/1598/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/9/1598/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eui-Hwan Chung & Amer Shalaby, 2005. "A Trip Reconstruction Tool for GPS-based Personal Travel Surveys," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(5), pages 381-401, August.
    2. Xiping Yang & Zhiyuan Zhao & Shiwei Lu, 2016. "Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    3. Wenzhi Liu & Huapu Lu & Zhiyuan Sun & Jing Liu, 2017. "Elderly’s Travel Patterns and Trends: The Empirical Analysis of Beijing," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    4. Ismail Issah & Tariq Y. Khan & Komei Sasaki, 2005. "Do Migrants React To Infrastructure Difference Between Urban And Rural Areas? Development Of An Extended Harris–Todaro Model," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 17(1), pages 68-88, March.
    5. Peter Stopher & Camden FitzGerald & Min Xu, 2007. "Assessing the accuracy of the Sydney Household Travel Survey with GPS," Transportation, Springer, vol. 34(6), pages 723-741, November.
    6. Cervero, Robert B., 2013. "Linking urban transport and land use in developing countries," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 7-24.
    7. Leinbach, Thomas R., 1995. "Transport and Third World development: Review, issues, and prescription," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(5), pages 337-344, September.
    8. Kritsana Kityuttachai & Nitin Kumar Tripathi & Taravudh Tipdecho & Rajendra Shrestha, 2013. "CA-Markov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand," Sustainability, MDPI, vol. 5(4), pages 1-21, April.
    9. Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
    10. Paul Kelly & Patricia Krenn & Sylvia Titze & Peter Stopher & Charlie Foster, 2013. "Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 443-459, July.
    11. repec:bla:devpol:v:26:y:2008:i:4:p:459-482 is not listed on IDEAS
    12. Asakura, Yasuo & Iryo, Takamasa, 2007. "Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 684-690, August.
    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. Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai & Nurfitri Abdul Gafur, 2021. "Time-Series Assessment of Camp-Type Artisanal and Small-Scale Gold Mining Sectors with Large Influxes of Miners Using LANDSAT Imagery," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    2. Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai, 2021. "Detection of Artisanal and Small-Scale Gold Mining Activities and Their Transformation Using Earth Observation, Nighttime Light, and Precipitation Data," IJERPH, MDPI, vol. 18(20), pages 1-12, 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. Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
    2. Reinau, Kristian Hegner & Harder, Henrik & Weber, Michael, 2015. "The SMS–GPS-Trip method: A new method for collecting trip information in travel behavior research," Telecommunications Policy, Elsevier, vol. 39(3), pages 363-373.
    3. Chiara Calastri & Romain Crastes dit Sourd & Stephane Hess, 2020. "We want it all: experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning," Transportation, Springer, vol. 47(1), pages 175-201, February.
    4. 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.
    5. Kwang-Sub Lee & Jin Ki Eom & Jun Lee & Sangpil Ko, 2021. "Analysis of the Activity and Travel Patterns of the Elderly Using Mobile Phone-Based Hourly Locational Trajectory Data: Case Study of Gangnam, Korea," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    6. Xiaofeng Lou & Changhai Peng, 2022. "Planning of a comprehensive transportation system in Ma’anshan based on mobile phone signaling data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9380-9406, July.
    7. Muhammad Shafique & Eiji Hato, 2015. "Use of acceleration data for transportation mode prediction," Transportation, Springer, vol. 42(1), pages 163-188, January.
    8. Moiseeva, Anastasia & Timmermans, Harry, 2010. "Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 189-199.
    9. Hong, Shuyao & Zhao, Fang & Livshits, Vladimir & Gershenfeld, Shari & Santos, Jorge & Ben-Akiva, Moshe, 2021. "Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 413-429.
    10. Calastri, Chiara & Hess, Stephane & Choudhury, Charisma & Daly, Andrew & Gabrielli, Lorenzo, 2019. "Mode choice with latent availability and consideration: Theory and a case study," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 374-385.
    11. repec:ebl:ecbull:v:6:y:2007:i:5:p:1-8 is not listed on IDEAS
    12. Pankaj Bajracharya & Selima Sultana, 2022. "Examining the Use of Urban Growth Boundary for Future Urban Expansion of Chattogram, Bangladesh," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    13. Olsson, Jerry, 2009. "Improved road accessibility and indirect development effects: evidence from rural Philippines," Journal of Transport Geography, Elsevier, vol. 17(6), pages 476-483.
    14. Hee Chung Chung & Namho Chung & Yoonjae Nam, 2017. "A Social Network Analysis of Tourist Movement Patterns in Blogs: Korean Backpackers in Europe," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    15. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    16. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    17. Scott Sanders & David Brown, 2012. "The Migratory Response of Labor to Special Economic Zones in the Philippines, 1995–2005," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(1), pages 141-164, February.
    18. Yang Yang & Chunlu Liu & Baizhen Li & Jilong Zhao, 2022. "Modelling and Forecast of Future Growth for Shandong’s Small Industrial Towns: A Scenario-Based Interactive Approach," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    19. Cavoli, Clemence, 2021. "Accelerating sustainable mobility and land-use transitions in rapidly growing cities: Identifying common patterns and enabling factors," Journal of Transport Geography, Elsevier, vol. 94(C).
    20. Sharma, Sabal & Levinson, David, 2019. "Travel cost and dropout from secondary schools in Nepal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 385-397.
    21. 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.

    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:gam:jsusta:v:9:y:2017:i:9:p:1598-:d:111236. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.