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All Journal Geoplanning : Journal of Geomatics and Planning Marcapada: Jurnal Kebijakan Pertanahan
Walter Timo de Vries
Technical University of Munich
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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POTENTIAL OF BIG DATA FOR PRO-ACTIVE PARTICIPATORY LAND USE PLANNING Walter Timo de Vries
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.812 KB) | DOI: 10.14710/geoplanning.5.2.205-214

Abstract

The presence of (spatial) big data presumes that citizens can more actively collect and analyse data for their own land use goals. This article evaluates that claim. Given that land use planning heavily depends on participation and citizens’ own contributions the core question is whether and how (spatial) big data can enhance and/or complement current land use planning endeavours. The article starts by defining and conceptualising the various phases and objectives of land use planning. This is needed to verify where citizen participation can play a crucial role and where bottom-up influence can actually emerge.  The article is fundamentally explorative. It relies on evaluating existing websites and documentation which conceptualise (spatial) big data and smart application, with a particular emphasis on ‘smart people’. A number of specific cases are explored in order to verify how and in which type of land use planning activity citizens are actively.  The evaluation indicates that many the smart applications making use of big data are still largely driven by conventional hierarchical governance structures. The choice of data and associated analytics are still largely confined and the opportunities whereby the designs of the new and alternative land use options by citizens are accepted or adopted is still limited. The take-home message is that adoption of big data for the purpose of empowering citizens is still limited. There probably needs to be more exemplary projects and various forms of capacity development and exploratory pilots before the full potential of (spatial) big data can be employed for bottom-up land use planning.
A Theoretical Evaluation of Community Participation in Nyanguku Ward Dam Construction Project in Geita, Tanzania Kiula P. Kiula; Walter Timo de Vries; Jenipher Kalori
Marcapada: Jurnal Kebijakan Pertanahan Vol. 5 No. 2 (2026): Marcapada: Jurnal Kebijakan Pertanahan
Publisher : Sekolah Tinggi Pertanahan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31292/mj.v5i2.195

Abstract

Land use planning projects in Tanzania face low participation. Currently we do not know why this is so or under which conditions participation could be high or low. Hence, the research objective is to unveil why or under which conditions participation can be high or low. We use two theoretical perspectives on participation to test this: 1) public good theory stating that participation is low if the project concerns a public good. 2. Participation motivation theory (3 types), stating that-people participate based on their transaction benefits. The test case concerns a dam construction funded by the Tanzania Social Action Fund III. Communities are assumed to participate in making decisions throughout the project. We used questionnaires to unveil how and when people participated. The findings reflect the claims of public good theory in a very few aspects. However, social exchange theory, one of the motivational theories seems to reflect participation behavior the best. We recommend further research to investigate factors for amplifying social exchange theory to enhance participation in land use projects in developing countries.
Co-Authors Jenipher Kalori Kiula P. Kiula