Exploring Potentials and Challenges in Making Smart Cities in India: A Case Study of Allahabad City, Uttar Pradesh

Mishra, Arun Pratap; Sen, Anjan; Kumar, Ashok

doi:10.1007/978-3-319-47145-7_8

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…To ensure validity, the questionnaire items were adapted from previous relevant literature. Items for the smart governance dimension were adapted from (Anthopoulos et al, 2019;Tahir and Malek, 2016); items for the smart living dimension were adapted from Tahir and Malek, 2016); items for the smart people dimension were adapted from (Mishra et al, 2017;Tahir and Malek, 2016), items for the smart mobility dimension were adapted from (Jr et al, 2017;Giffinger and Gudrun, 2010), items for the economy dimension were adapted from Tahir and Malek, 2016), Items for the environment dimension were adapted from Giffinger and Gudrun, 2010). Finally, the questionnaire items for sustainable development were sourced from the studies conducted by Lee (2013) and Ciegis et al (2009).…”

Section: Methodsmentioning

confidence: 99%

How Smart Cities Can Be Leveraged to Create Sustainable Tourism Destinations: A Case of New Alamein City

Abouelazm

2024

Minia Journal of Tourism and Hospitality Research MJTHR

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Section: Methodsmentioning

confidence: 99%

How Smart Cities Can Be Leveraged to Create Sustainable Tourism Destinations: A Case of New Alamein City

Abouelazm

2024

Minia Journal of Tourism and Hospitality Research MJTHR

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“…Maximum relative humidity of 81% was recorded in Prayagraj city in August, with an average annual relative humidity of 59.1%. 36…”

Section: Study Area Detailmentioning

confidence: 99%

Spatio-temporal dynamics of land use/cover and land surface temperature in Prayagraj city, India

Srivastava

Shukla

Singh

et al. 2023

Indoor and Built Environment

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The spatial monitoring of variation in land cover and its mapping support the local authorities and decision-makers in strengthening comprehensive and sustainable plans for future urbanization and sustainability of the city. This research work was carried out to evaluate the change in the land cover pattern and its impact on the land surface temperature of Prayagraj city from 2000 to 2020. This study also examined the correlation between land surface temperature (LST) and other improved urban biophysical indices, such as soil-adjusted vegetation index (SAVI) and enhanced built-up and bareness index (EBBI), to determine the significant factors affecting the LST of the urban area. The result indicates that the built-up area and cropland have been escalated by 10 and 6.5%, whereas tree cover, water bodies and fallow land were reduced by 12, 1.38 and 1.27%, respectively. LST was increased by 1.47°C between 2000 and 2020 due to an increase in the built-up area. LST showed a positive correlation with EBBI but a negative one with vegetation indices (normalized difference vegetation index, enhanced vegetation index and SAVI) and water indices (MNDWI). The results indicate that the land use pattern governs LST and any change in land use will ultimately change the LST.

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“…It's however noted that, though many countries around the globe have adopted eparticipation, its adoption in developing countries is still low and challenging due to the digital divide, high illiteracy levels, and poverty faced during implementation and adoption (Mishra, Sen, & Kumar, 2017). Munoz and Bolivar (2021) in their study of comparison of e-participation between developed and developing countries reported that developed countries have implemented and adopted more e-participation initiatives than developing countries with developed countries undertaking the highest number of smart projects and making more e-participation tools available for citizen engagement in public decisions than developing countries.…”

Section: State Of E-participation In Developed and Developing Countriesmentioning

confidence: 99%

Motivation, Opportunity and Risk-Taking Propensity Influence on LCIs’ Policy Formulation Ability and Engagement Behaviour: Extension of the MOA Model

Nabafu

Isoh²,

Kituyi

et al. 2023

udslj

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Local Council Ones (LC1s) in Uganda are considered key in giving realistic and representative views for policy formulation following their continuous interaction with community members yet their engagement levels are still low. Low engagement in policy formulation could be attributed to limited research done in their context to know what could influence their engagement. This paper examined the role of motivation, opportunity, and risk-taking propensity in improving their ability and engagement behaviour. This study postulated that; motivation, opportunity and risk-taking propensity influence ability and engagement and the relationship between risk-taking propensity and engagement are moderated by gender. A quantitative research method was used to collect data from 185 LCIs in four cities and four districts in Uganda using a survey questionnaire. Validity and reliability of the study instrument was tested using SPSS while structural equation model for testing the formulated hypothesis was designed using SEM. Results reveal that; motivation, opportunity and risk-taking propensity influence ability. Ability, risk-taking propensity and motivation influence engagement while ability partially mediates the relationship between motivation, risk-taking propensity and engagement but fully mediates the relationship between opportunity and engagement. Gender does not moderate the relationship between risk-taking propensity and engagement. This study extended the Motivation, Opportunity, and Ability (MOA) model by adding risk-taking propensity which has a partial influence on engagement. The practical implication is that these findings can be used to improve LC1s’ engagement in policy formulation. Policy formulators should therefore put much emphasis on increasing LCIs’ motivation and risk-taking propensity by considering their views and formulating inclusive and representative policies.

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Exploring Potentials and Challenges in Making Smart Cities in India: A Case Study of Allahabad City, Uttar Pradesh

Cited by 6 publications

References 2 publications

How Smart Cities Can Be Leveraged to Create Sustainable Tourism Destinations: A Case of New Alamein City

How Smart Cities Can Be Leveraged to Create Sustainable Tourism Destinations: A Case of New Alamein City

Spatio-temporal dynamics of land use/cover and land surface temperature in Prayagraj city, India

Motivation, Opportunity and Risk-Taking Propensity Influence on LCIs’ Policy Formulation Ability and Engagement Behaviour: Extension of the MOA Model

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