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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Adindu, Chinedu Chimdi | - |
| dc.contributor.author | Muhammed, A.O | - |
| dc.contributor.author | Bukar, A.A | - |
| dc.contributor.author | Ekung, S | - |
| dc.contributor.author | Nwajagu, U.A | - |
| dc.date.accessioned | 2024-05-09T15:47:11Z | - |
| dc.date.available | 2024-05-09T15:47:11Z | - |
| dc.date.issued | 2024-04 | - |
| dc.identifier.citation | Adindu et al, 2024 | en_US |
| dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/28239 | - |
| dc.description.sponsorship | his study examines the barriers of smart-city development projects in Abuja. Empirical data was collected using questionnaire administered to a sample size of 331 respondents derived from a study population of 1950. Data were analysed using descriptive statistics of frequency, percentage and mean scores. The study specifically revealed the three highest social barriers as ‘digital divide (M=4.5423)’, ‘insufficient connection between social and technological infrastructure (M= 4.4876)’, and ‘lack of trust (M= 4.4428)’. The three lowest social barriers as gentrification and social exclusion (M=4.0498), insufficient cultural diversification (3.8408), and absence of citizens’ participation (M= 3.3383). The study also revealed the three highest economic barriers as absence of reliable and qualified human capital (M= 4.8259), unemployment and absence of equitable labour market access (M= 4.5224), and public and private institution weaknesses (M= 4.2537). The three lowest economic factors are competitiveness of the local and international markets (M=3.1045), resource management inefficiencies (M=2.1940), and insufficient funding and investment (M=2.1940). The three highest environmental barriers are absence of resource sharing with respect to financial and social distributions (M=4.5224), inefficient holistic approach towards sustainable environment (M=4.3284), waste management inefficiency (M= 3.7463), whereas the three lowest environmental barriers are climate change (M=3.1194), loss of natural habitat and biodiversity (M = 3.1045), and insufficient knowledge of ICT usage in energy consumption (M=2.1940). For general governance barriers the three highest factors are insufficient capacity (M=4.8259), absence of support due to political will (M= 4.6766), absence of project management (M =4.5224), whereas the three lowest factors are absence of requisite regulations and legislations (M =2.8955), insufficient operational capabilities (M= 2.19400, inequities of policies (M= 1.8955). Finally, for the urban governance barriers, the three highest factors are technological infrastructure deficit (M= 4.5274), deterioration of physical infrastructure (M= 4.5224), and technological obsolesce (M= 4.1045). The study revealed the three lowest urban governance barriers as absence of data integration (M= 3.0448), absence of efficient data management system in the face of huge data (M=3.0299), and inefficient quality of ICT-based services (M= 2.0448). | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Faculty of Environmental Design Ahmadu Bello University, Zaria | en_US |
| dc.relation.ispartofseries | Vol.6;15-31 | - |
| dc.subject | Abuja | en_US |
| dc.subject | Barriers | en_US |
| dc.subject | Projects | en_US |
| dc.subject | Smart-city | en_US |
| dc.title | AN ASSESSMENT OF THE BARRIERS TO SMART-CITY DEVELOPMENT PROJECTS IN NIGERIA FEDERAL CAPITAL CITY- ABUJA | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Project management Technology | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 7 JES 24A Smart Cities.pdf | 717.1 kB | Adobe PDF | View/Open |
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