IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i13p5293-d378539.html
   My bibliography  Save this article

Indicators for the Smart Development of Villages and Neighbourhoods in Baltic Sea Coastal Areas

Author

Listed:
  • Maris Kalinka

    (Riga Technical University, Kaļķu iela 1, Centra rajons, LV-1658 Rīga, Letonia)

  • Sanda Geipele

    (Riga Technical University, Kaļķu iela 1, Centra rajons, LV-1658 Rīga, Letonia)

  • Edgars Pudzis

    (Riga Technical University, Kaļķu iela 1, Centra rajons, LV-1658 Rīga, Letonia)

  • Andrejs Lazdins

    (Riga Technical University, Kaļķu iela 1, Centra rajons, LV-1658 Rīga, Letonia)

  • Una Krutova

    (Riga Technical University, Kaļķu iela 1, Centra rajons, LV-1658 Rīga, Letonia)

  • Jurijs Holms

    (Riga Technical University, Kaļķu iela 1, Centra rajons, LV-1658 Rīga, Letonia)

Abstract

A formal village/neighbourhood planning process is typically focused on three planning levels (national, regional and local) and is usually linked with administrative units of the territory (state, region or municipality). The local planning level (village or neighbourhood) “pocket plan” is a development challenge for spatial planners. The small coastal village Tuja in Latvia was taken as a pilot territory for “pocket planning” due to the unique location; biodiversity and ecosystems; significant natural, cultural, economic and social values; specific interests; and the needs of the involved local society. All these factors create a dynamic flow of data and information. Geographic information systems (GIS) are widely used as planning support systems. GISs for pocket plans must accommodate the special needs of communities in villages and neighbourhoods. Ensuring the availability of information in dynamic real time is an opportunity to build both community integration in specific environments and to understand the future plans of the territory. Access to a WEB-GIS (internet GIS) provides possibilities for every person with a mobile phone to use and update information. Static and statistical information is generally used for spatial planning. For pocket plans, the data and information flow has to be dynamic and has to interact with non-professional users. The special wishes and needs of every member of a community must be accommodated by a pocket plan for the well-being of the people and the sustainability of the surrounding territory. Small territory planning involves a very narrow circle of individuals or communities that identify spatial development needs for the future, which includes the socio-economic, cultural, historical, environmental and climate change scenarios. In order to assess the development opportunities and needs of such areas, the detection, accumulation and monitoring of reliable data is necessary. Methodically derived data (facts) provide objectivity and transparency. Currently, as information between the present and the past is able to circulate very fast, analysis of the current situation to forecast the future and show different constructed realities (scenarios) using a GIS is necessary. Therefore, to explore and determine a local needs-based and smart spatial planning approach, we must identify indicators that can be used for the short-term and long-term analysis of specific territories in coastal areas.

Suggested Citation

  • Maris Kalinka & Sanda Geipele & Edgars Pudzis & Andrejs Lazdins & Una Krutova & Jurijs Holms, 2020. "Indicators for the Smart Development of Villages and Neighbourhoods in Baltic Sea Coastal Areas," Sustainability, MDPI, vol. 12(13), pages 1-13, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5293-:d:378539
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/13/5293/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/13/5293/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2007. "Management by Measurement," Springer Books, Springer, number 978-3-540-73212-9, July.
    2. Adriana REVEIU & Marian DARDALA, 2011. "Techniques for Statistical Data Visualization in GIS," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(3), pages 72-79.
    3. MacQueen, K.M. & McLellan, E. & Metzger, D.S. & Kegeles, S. & Strauss, R.P. & Scotti, R. & Blanchard, L. & Trotter II, R.T., 2001. "What is community? An evidence-based definition for participatory public health," American Journal of Public Health, American Public Health Association, vol. 91(12), pages 1929-1938.
    4. Emilio L. Cano & Javier M. Moguerza & Tatiana Ermolieva & Yurii Yermoliev, 2017. "A strategic decision support system framework for energy-efficient technology investments," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 249-270, July.
    5. Margherita Casini & Simone Bastianoni & Francesca Gagliardi & Massimo Gigliotti & Angelo Riccaboni & Gianni Betti, 2019. "Sustainable Development Goals Indicators: A Methodological Proposal for a Multidimensional Fuzzy Index in the Mediterranean Area," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    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. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    2. Pontsho William Maja & Johan Meyer & Suné von Solms, 2022. "Smart Rural Village’s Healthcare and Energy Indicators—Twin Enablers to Smart Rural Life," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    3. Dalilis Escobar Rivera & Maria Rosa Terradellas Piferrer & Maria Helena Benito Mundet, 2021. "Measuring Territorial Social Responsibility and Sustainability Using the EFQM Excellence Model," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    4. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    5. András Szeberényi & Tomasz Rokicki & Árpád Papp-Váry, 2022. "Examining the Relationship between Renewable Energy and Environmental Awareness," Energies, MDPI, vol. 15(19), pages 1-25, September.

    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. Franceschini, Fiorenzo & Maisano, Domenico, 2015. "Checking the consistency of the solution in ordinal semi-democratic decision-making problems," Omega, Elsevier, vol. 57(PB), pages 188-195.
    2. Soo Yon Yi & Aimee Jeehae Kim, 2023. "Implementation and Strategies of Community Music Activities for Well-Being: A Scoping Review of the Literature," IJERPH, MDPI, vol. 20(3), pages 1-34, January.
    3. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
    4. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
    5. Boeing, Philipp & Wang, Yihan, 2021. "Decoding China's Covid-19 "virus exceptionalism": Community-based digital contact tracing in Wuhan," ZEW Discussion Papers 21-028, ZEW - Leibniz Centre for European Economic Research.
    6. Virginia Araceli Feliz & Sue D. Hobbs & Rose Borunda, 2022. "Strengthen and Respect Each Thread," IJERPH, MDPI, vol. 19(21), pages 1-11, October.
    7. Xiangdan Piao & Xinxin Ma & Tetsuya Tsurumi & Shunsuke Managi, 2022. "Social Capital, Negative Event, Life Satisfaction and Sustainable Community: Evidence from 37 Countries," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1311-1330, June.
    8. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to disaster," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2221-2245, February.
    9. Milichovsky, Frantisek, 2015. "Measuring Indicators for Marketing Effectiveness in Czech Companies || Indicadores para medir la eficacia del marketing en las empresas checas," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 20(1), pages 3-24, December.
    10. Fiorenzo Franceschini & Domenico Maisano, 2012. "Publication and patent analysis of European researchers in the field of production technology and manufacturing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 89-100, October.
    11. Fiorenzo Franceschini & Domenico Maisano, 2011. "Criticism on the hg-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 339-346, February.
    12. Mladen Djuric & Marina Dobrota & Jovan Filipovic, 2020. "Complexity-based quality indicators for human and social capital in science and research: the case of Serbian Homeland versus Diaspora," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 303-328, July.
    13. Ivan Pribićević & Boris Delibašić, 2021. "Critical sustainability indicators identification and cause–effect relationships analysis for sustainable organization strategy based on fuzzy DEMATEL," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17263-17304, December.
    14. Fiorenzo Franceschini & Domenico Maisano, 2011. "Bibliometric positioning of scientific manufacturing journals: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 463-485, February.
    15. Ramirez-Marquez, Jose E. & Rocco, Claudio M. & Barker, Kash & Moronta, Jose, 2018. "Quantifying the resilience of community structures in networks," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 466-474.
    16. Jana Hornungová & František Milichovský, 2013. "Profit indicators in performance systems in the Czech companies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(2), pages 345-352.
    17. Michelle M. Olivier & Benjamin P. Wilson & Johnathon L. Howard, 2017. "Determining Localisation Metrics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 467-487, March.
    18. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    19. Larissa Petrucci, 2020. "Theorizing postfeminist communities: How gender‐inclusive meetups address gender inequity in high‐tech industries," Gender, Work and Organization, Wiley Blackwell, vol. 27(4), pages 545-564, July.
    20. Smith-Morris, Carolyn, 2017. "Epidemiological placism in public health emergencies: Ebola in two Dallas neighborhoods," Social Science & Medicine, Elsevier, vol. 179(C), pages 106-114.

    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:12:y:2020:i:13:p:5293-:d:378539. 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.