Leveraging National Land and Geospatial Systems for Improved Disaster Resilience

Rajabifard, Abbas; Potts, Katie; Törhönen, Mika-Petteri; Barra, Federico; Justiniano, Ivelisse

doi:10.1201/9780429290626-5

Cited by 4 publications

(8 citation statements)

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“…Several local partnerships exist among independent entities to share geospatial data using web-based mapping tools (Akinyemi and Uwayezu, 2011). Integrating technical compatibility in spatial data management requires partnerships between government and other stakeholders (Rajabifard, 2019). These partnerships are essential to understand the factors contributing to the structure and operations of coordinated data sharing (Oskoue et al, 2016).…”

Section: Research Backgroundmentioning

confidence: 99%

“…A communication strategy includes the suitable communication method, objective or purpose, and frequency (Rajabifard, 2019; UN-GGIM, 2020; Vancauwenberghe et al, 2014). Stakeholders may have conflicting interests on various benefits, costs, influence (Dessers, 2014; Kolagani and Ramu, 2017), which hinder spatial data management and sharing (Dessers, 2014; Gordon et al, 2016).…”

Section: Research Backgroundmentioning

confidence: 99%

“…Such partnerships will result in the development of innovative solutions to information management and dissemination (Welch et al, 2016). International organizations collect much of the data during development projects (Rajabifard, 2019). However, public organizations usually conceal spatial data sharing (Granell et al, 2014).…”

Section: Research Backgroundmentioning

confidence: 99%

“…Whereas the latter identifies sources of public, private, and external donors which could support the development and operation. Another model could be charging minimal fees from the research organizations and commercial charges for the highest accuracy data and services (Rajabifard, 2019).…”

Section: Research Backgroundmentioning

confidence: 99%

“…Many countries perceive spatial information as a state asset that requires well-organized integrated management. This understanding led to the development of national spatial data infrastructures (NSDIs) (Rajabifard, 2019). However, the NSDI establishment poses several challenges from government institutions on spatial data sharing (Coleman et al, 2016; Krahe et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Factors influencing integrated information management: Spatial data infrastructure in Pakistan

Ali

Imran

Jabeen

et al. 2021

Information Development

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Spatial data is one of the core components in all information retrieval processes for decision-making. Spatial data acquisition consumes enormous monetary resources and time. The Integrated Geospatial Information Framework (IGIF) provides a basis and guide for developing, integrating, strengthening, and maximizing geospatial information management and related resources in all countries. To this, governments all over the world are establishing national spatial data infrastructures (SDIs). However, such initiatives face a considerable amount of resistance as organizations often do not want to share their data assets. The present study investigates these barriers in the establishment of national SDI in Pakistan. The constraints studied through the IGIF pathways and past studies were adapted via a pilot study and conceptualized in a hypothesized model. We collected primary data via the administration of 520 questionnaire surveys to 280 public and private organizations. Partial least squares structural equation modeling (PLS-SEM) was applied to statistically confirm the conceptual model of the barriers to disseminating spatial data. The results indicate institutional barriers from the absence of national data policy, lack of specified roles of stakeholders, poor inter-organizational coordination, missing data-sharing policy, and weak organizational partnerships, with coefficients 0.26, 1.555, 1.305, 8.288, and 0.136, respectively, at the p < 0.001 significance level. The PLS-SEM R2 0.65 indicates a good explanatory power of the model. The methodology developed in the present study will allow devising more sustainable policies for spatial data management and dissemination in Pakistan and beyond.

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Section: Research Backgroundmentioning

confidence: 99%

Section: Research Backgroundmentioning

confidence: 99%

Section: Research Backgroundmentioning

confidence: 99%

Section: Research Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors influencing integrated information management: Spatial data infrastructure in Pakistan

Ali

Imran

Jabeen

et al. 2021

Information Development

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Global policy transfer for land administration and disaster risk management

et al. 2020

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A Land Administration Data Exchange and Interoperability Framework for Kenya and Its Significance to the Sustainable Development Goals

Okembo,

Morales,

Lemmen

et al. 2024

Land

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Sharing land data from one department to the other is a continuous process. A solid structure and a set of guidelines on how to share them is to be put in place as a foundation for the development of a land administration data exchange and interoperability framework in support of data acquisition, land transactions and distribution of land data. In this research, the application of the ISO Framework for Enterprise Interoperability (FEI) as a standard is the starting point. Utilising the Land Administration Domain Model (LADM) profile for Kenya as a base, an interoperability framework in support of land administration in Kenya is developed that addresses concerns, removes barriers and selects the approach for implementation. Due to the critical nature of land, it fits into the United Nations 2030 sustainability agenda. During the development of the Kenyan profile, four country-specific issues in the context of people-to-land relationships have been identified and modeled. The mapping of those issues relevant to the sustainable development goals supports the achievement of those goals so that all related targets and indicators can be attained. Using GIS tools, the implementing and testing of the new LADM profile for Kenya is not a difficult task. By using existing land data combined with newly collected data in the LADM-compliant database, a complete and accurate workflow is assured. Integration with external databases is useful for improving efficiency and eliminating duplication. Data collection with all stakeholders and validation through public inspection are recommended.

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Leveraging National Land and Geospatial Systems for Improved Disaster Resilience

Cited by 4 publications

References 0 publications

Factors influencing integrated information management: Spatial data infrastructure in Pakistan

Factors influencing integrated information management: Spatial data infrastructure in Pakistan

Global policy transfer for land administration and disaster risk management

A Land Administration Data Exchange and Interoperability Framework for Kenya and Its Significance to the Sustainable Development Goals

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