References

Adeloye, D. O. 2015. “Key Challenges of Evidence-Based Medicine in Developing Countries.” Research Journal of Health Sciences 3 (3): 139–48. https://rjhs.org/index.php/home/article/view/119.
Al-Bakri, Maythm. 2015. “Ten Years of OpenStreetMap Project: Have We Addressed Data Quality Appropriately? – Review Paper.” Journal of Engineering 21 (04): 158–75. https://doi.org/10.31026/j.eng.2015.04.09.
Anttiroiko, Ari-Veikko. 2021. “Digital Urban Planning Platforms: The Interplay of Digital and Local Embeddedness in Urban Planning.” International Journal of E-Planning Research (IJEPR) 10 (3): 35–49. https://doi.org/10.4018/IJEPR.20210701.oa3.
Arribas-Bel, Daniel. 2014. “Accidental, Open and Everywhere: Emerging Data Sources for the Understanding of Cities.” Applied Geography, The New Urban World, 49 (May): 45–53. https://doi.org/10.1016/j.apgeog.2013.09.012.
Bagan, Hasi, and Yoshiki Yamagata. 2015. “Analysis of Urban Growth and Estimating Population Density Using Satellite Images of Nighttime Lights and Land-Use and Population Data.” GIScience & Remote Sensing 52 (6): 765–80. https://doi.org/10.1080/15481603.2015.1072400.
Barrington-Leigh, Christopher, and Adam Millard-Ball. 2017. “The World’s User-Generated Road Map Is More Than 80% Complete.” PLOS ONE 12 (8): e0180698. https://doi.org/10.1371/journal.pone.0180698.
Barzin, Samira, Jun Rentschler, Neave O’Clery, and Paolo Avner. 2022. Where Are All the Jobs? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries. World Bank, Washington, DC. https://doi.org/10.1596/1813-9450-9979.
Biljecki, Filip, Ken Arroyo Ohori, Hugo Ledoux, Ravi Peters, and Jantien Stoter. 2016. “Population Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the Netherlands.” PLOS ONE 11 (6): e0156808. https://doi.org/10.1371/journal.pone.0156808.
Bluhm, Richard, and Gordon C. McCord. 2022. “What Can We Learn from Nighttime Lights for Small Geographies? Measurement Errors and Heterogeneous Elasticities.” Remote Sensing 14 (5): 1190. https://doi.org/10.3390/rs14051190.
Brahmbhatt, Bijal, Siraz Hirani, Neha Lal, and Bhumika Chauhan. 2019. “Urban Slums in a Datafying Milieu: Challenges for Data-Driven Research Practice.” {{SSRN Scholarly Paper}}. Rochester, NY: Social Science Research Network. https://doi.org/10.2139/ssrn.3460226.
Broby, Daniel, and William Smyth. 2022. “On the Use of Principal Components Analysis in Index Construction.” {{SSRN Scholarly Paper}}. Rochester, NY: Social Science Research Network. https://doi.org/10.2139/ssrn.4294718.
Carvalho, Sherlyê Francisco De, Jhonatha Fiorio Conceição Guimarães, Carla Bernadete Madureira Cruz, and Elizabeth Maria Feitosa Da Rocha De Souza. 2018. “Delimitation of Urban Areas with Use of the Plataform Google Engine Explorer:” In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management, 255–61. Funchal, Madeira, Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0006756602550261.
Chang, Tzu-Cheng, Jia-Hong Tang, and Ta-Chien Chan. 2025. “Spatiotemporal Impact of Urban Development on Nighttime Light Intensity and Its Hotspot Distribution.” PLOS One 20 (6): e0325696. https://doi.org/10.1371/journal.pone.0325696.
Chen, Qian, Tingting Ye, Naizhuo Zhao, Mingjun Ding, Zutao Ouyang, Peng Jia, Wenze Yue, and Xuchao Yang. 2021. “Mapping China’s Regional Economic Activity by Integrating Points-of-Interest and Remote Sensing Data with Random Forest.” Environment and Planning B: Urban Analytics and City Science 48 (7): 1876–94. https://doi.org/10.1177/2399808320951580.
Cheng, Fangyan, Shiliang Liu, Xiaoyun Hou, Yueqiu Zhang, Shikui Dong, Ana Coxixo, and Guohua Liu. 2018. “Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (8): 2587–99. https://doi.org/10.1109/JSTARS.2018.2844566.
Conlon, Kathryn C., Evan Mallen, Carina J. Gronlund, Veronica J. Berrocal, Larissa Larsen, and Marie S. O’Neill. 2020. “Mapping Human Vulnerability to Extreme Heat: A Critical Assessment of Heat Vulnerability Indices Created Using Principal Components Analysis.” Environmental Health Perspectives 128 (9): 097001. https://doi.org/10.1289/EHP4030.
Daniel, C., and C. Pettit. 2021. “Digital Disruption and Planning – Use of Data and Digital Technology by Professional Planners, and Perceptions of Change to Planning Work.” Australian Planner 57 (1): 50–64. https://doi.org/10.1080/07293682.2021.1920995.
Ddamba, Joshua, and Yvonne Dittrich. 2015. “Data for Participation and Participation as Data: Supporting Incremental Participatory Decision-Making in Urban Planning.”
Delphin, Sonia, Katherine A. Snyder, Sophia Tanner, Karim Musálem, Stuart E. Marsh, and José R. Soto. 2022. “Obstacles to the Development of Integrated Land-Use Planning in Developing Countries: The Case of Paraguay.” Land 11 (8): 1339. https://doi.org/10.3390/land11081339.
Dühr, Stefanie, Hulya Gilbert, and Stefan Peters. 2021. “Spatial Data Requirements for Metropolitan Spatial Planning in South Australia: Challenges for Evidence-informed Policy-making and Monitoring.” Planning Practice & Research 36 (5): 530–52. https://doi.org/10.1080/02697459.2021.1901397.
EliteDataScience. 2017. “Dimensionality Reduction Algorithms: Strengths and Weaknesses.” EliteDataScience. https://elitedatascience.com/dimensionality-reduction-algorithms.
Galodha, A., and S. K. Gupta. 2021. LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-3-2021 (August): 57–62. https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-57-2021.
“Gearing up for India’s Rapid Urban Transformation.” 2024. World Bank. https://www.worldbank.org/en/news/opinion/2024/01/30/gearing-up-for-india-s-rapid-urban-transformation.
Gebetsroither-Geringer, E., R. Stollnberger, and J. Peters-Anders. 2018. INTERACTIVE SPATIAL WEB-APPLICATIONS AS NEW MEANS OF SUPPORT FOR URBAN DECISION-MAKING PROCESSES.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4-W7 (September): 59–66. https://doi.org/10.5194/isprs-annals-IV-4-W7-59-2018.
Georganos, Stefanos, Sebastian Hafner, Monika Kuffer, Catherine Linard, and Yifang Ban. 2022. “A Census from Heaven: Unraveling the Potential of Deep Learning and Earth Observation for Intra-Urban Population Mapping in Data Scarce Environments.” International Journal of Applied Earth Observation and Geoinformation 114 (November): 103013. https://doi.org/10.1016/j.jag.2022.103013.
Gervasoni, Luciano, Serge Fenet, Regis Perrier, and Peter Sturm. 2018. “Convolutional Neural Networks for Disaggregated Population Mapping Using Open Data.” In 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 594–603. https://doi.org/10.1109/DSAA.2018.00076.
Ghosh, Ruchira, and Arun Kansal. 2014. Urban Challenges in India and the Mission for a Sustainable Habitat.” INTER DISCIPLINA 2 (2). https://doi.org/10.22201/ceiich.24485705e.2014.2.46530.
Gosling-Goldsmith, Jessica, Sarah Elizabeth Antos, Luis Miguel Triveno, Adam R Benjamin, and Chaofeng Wang. 2025. “Aerial-Terrestrial Data Fusion for Fine-Grained Detection of Urban Clues.” Environment and Planning B: Urban Analytics and City Science 52 (1): 59–75. https://doi.org/10.1177/23998083241247870.
Hasler, Stéphanie, Jérôme Chenal, and Marc Soutter. 2017. “Digital Tools as a Means to Foster Inclusive, Data-informed Urban Planning.” Civil Engineering and Architecture 5 (6): 230–39. https://doi.org/10.13189/cea.2017.050605.
Heeks, Richard, and Satyarupa Shekhar. 2019. “Datafication, Development and Marginalised Urban Communities: An Applied Data Justice Framework.” Information, Communication & Society 22 (7): 992–1011. https://doi.org/10.1080/1369118X.2019.1599039.
Henderson, J. Vernon, Adam Storeygard, and David N. Weil. 2012. “Measuring Economic Growth from Outer Space.” American Economic Review 102 (2): 994–1028. https://doi.org/10.1257/aer.102.2.994.
Hu, Hengzhi, Jingbo Yan, Bolin Wang, and Xuefei Sun. 2025. “Evaluation of Comprehensive Vitality of Shanghai’s Commercial Centers Using Multi-Dimensional Geospatial Big Data.” Scientific Reports 15 (July): 22060. https://doi.org/10.1038/s41598-025-95594-7.
Jawaid, M. F., Manish Sharma, Satish Pipralia, and Ashwani Kumar. 2017. “City Profile: Jaipur.” Cities 68 (August): 63–81. https://doi.org/10.1016/j.cities.2017.05.006.
Jawaid, Md. Fuzail, Satish Pipralia, and Ashwani Kumar. 2014. “Exploring the Imageability of Walled City Jaipur.” Journal of Engineering Technology 4 (April): 46–52. https://doi.org/10.5176/2251-3701_4.1.171.
Jokar Arsanjani, Jamal, Peter Mooney, Alexander Zipf, and Anne Schauss. 2015. “Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets.” In. https://doi.org/10.1007/978-3-319-14280-7_3.
Kvalvik, Petter, Mary Sánchez-Gordón, and Ricardo Colomo-Palacios. 2022. “Beyond Technology in Smart Cities: A Multivocal Literature Review on Data Governance.” Aslib Journal of Information Management 75 (6): 1235–52. https://doi.org/10.1108/AJIM-04-2022-0196.
Lei, Zhen, Shulei Zhou, Penggen Cheng, and Yijie Xie. 2024. “Improved Population Mapping for China Using the 3D Building, Nighttime Light, Points-of-Interest, and Land Use/Cover Data Within a Multiscale Geographically Weighted Regression Model.” ISPRS International Journal of Geo-Information 13 (9): 335. https://doi.org/10.3390/ijgi13090335.
Levin, Noam, Christopher C. M. Kyba, Qingling Zhang, Alejandro Sánchez de Miguel, Miguel O. Román, Xi Li, Boris A. Portnov, et al. 2020. “Remote Sensing of Night Lights: A Review and an Outlook for the Future.” Remote Sensing of Environment 237 (February): 111443. https://doi.org/10.1016/j.rse.2019.111443.
Leyk, Stefan, Johannes H. Uhl, Deborah Balk, and Bryan Jones. 2018. “Assessing the Accuracy of Multi-Temporal Built-up Land Layers Across Rural-Urban Trajectories in the United States.” Remote Sensing of Environment 204 (January): 898–917. https://doi.org/10.1016/j.rse.2017.08.035.
Li, Kangning, Yunhao Chen, and Ying Li. 2018. “The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data.” Remote Sensing 10 (10): 1650. https://doi.org/10.3390/rs10101650.
Li, Xuecao, Yuyu Zhou, Min Zhao, and Xia Zhao. 2020. “A Harmonized Global Nighttime Light Dataset 1992–2018.” Scientific Data 7 (1): 168. https://doi.org/10.1038/s41597-020-0510-y.
Limited, Jaipur Smart City. 2025. “Jaipur Smart City Projects.” https://jscljaipur.in/index.php?option=com_content&view=featured&Itemid=110.
Lin, Anqi, Xiaomeng Sun, Hao Wu, Wenting Luo, Danyang Wang, Dantong Zhong, Zhongming Wang, Lanting Zhao, and Jiang Zhu. 2021. “Identifying Urban Building Function by Integrating Remote Sensing Imagery and POI Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 8864–75. https://doi.org/10.1109/JSTARS.2021.3107543.
Lin, Jinyao, Yaye Zhuang, Yang Zhao, Hua Li, Xiaoyu He, and Siyan Lu. 2022. “Measuring the Non-Linear Relationship Between Three-Dimensional Built Environment and Urban Vitality Based on a Random Forest Model.” International Journal of Environmental Research and Public Health 20 (1): 734. https://doi.org/10.3390/ijerph20010734.
“Measuring Quarterly Economic Growth from Outer Space.” 2022. World Bank Blogs. https://blogs.worldbank.org/en/developmenttalk/measuring-quarterly-economic-growth-outer-space.
Meijer, Albert, and Manuel Pedro Rodríguez Bolívar. 2016. “Governing the Smart City: A Review of the Literature on Smart Urban Governance.” International Review of Administrative Sciences 82 (2): 392–408. https://doi.org/10.1177/0020852314564308.
Ministry of Electronics & IT. 2015. “About Us - Digital India Leading the Transformation in India for Ease of Living and Digital Economy MeitY, Government of India.” Digital India Leading the Transformation in India for Ease of Living and Digital Economy MeitY, Government of India. https://www.digitalindia.gov.in/about-us/.
Pajares, Elias, Rafael Muñoz Nieto, Liqiu Meng, and Gebhard Wulfhorst. 2021. “Population Disaggregation on the Building Level Based on Outdated Census Data.” ISPRS International Journal of Geo-Information 10 (10): 662. https://doi.org/10.3390/ijgi10100662.
Parasa, Rajeswari. 2021. “Embed Open Data Principles in Master Plans to Make Planning More Inclusive and Participatory.” Data Governance Network. https://www.datagovernance.org/article/embed-open-data-principles-in-master-plans-to-make-planning-more-inclusive.
Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis, Sergio Freire, Katarzyna Krasnodębska, Johannes H. Uhl, Alessandra Carioli, et al. 2024. “Advances on the Global Human Settlement Layer by Joint Assessment of Earth Observation and Population Survey Data.” International Journal of Digital Earth 17 (1): 2390454. https://doi.org/10.1080/17538947.2024.2390454.
Przybysz, André Luiz, Angelica Duarte Lima, Clayton Pereira de Sá, David Nunes Resende, and Regina Negri Pagani. 2024. “Integrating City Master Plans with Sustainable and Smart Urban Development: A Systematic Literature Review.” Sustainability 16 (17): 7692. https://doi.org/10.3390/su16177692.
Ps, Prakash, and Bharath H. Aithal. 2023. “Building Footprint Extraction from Very High-Resolution Satellite Images Using Deep Learning.” Journal of Spatial Science 68 (3): 487–503. https://doi.org/10.1080/14498596.2022.2037473.
Qiu, Yue, Xuesheng Zhao, Deqin Fan, Songnian Li, and Yijing Zhao. 2022. “Disaggregating Population Data for Assessing Progress of SDGs: Methods and Applications.” International Journal of Digital Earth 15 (1): 2–29. https://doi.org/10.1080/17538947.2021.2013553.
Repette, Palmyra, Jamile Sabatini-Marques, Tan Yigitcanlar, Denilson Sell, and Eduardo Costa. 2021. “The Evolution of City-as-a-Platform: Smart Urban Development Governance with Collective Knowledge-Based Platform Urbanism.” Land 10 (1): 33. https://doi.org/10.3390/land10010033.
Sapena, Marta, Marlene Kühnl, Michael Wurm, Jorge E. Patino, Juan C. Duque, and Hannes Taubenböck. 2022. “Empiric Recommendations for Population Disaggregation Under Different Data Scenarios.” PLOS ONE 17 (9): e0274504. https://doi.org/10.1371/journal.pone.0274504.
Satterthwaite, David. 2010. “5 Urban Myths and the Mis-Use of Data That Underpin Them.” In Urbanization and Development: Multidisciplinary Perspectives, edited by Jo Beall, Basudeb Guha-Khasnobis, and Ravi Kanbur, 83–100. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199590148.003.0005.
Sengupta, Ushnish, and Ulysses Sengupta. 2022. SDG-11 and Smart Cities: Contradictions and Overlaps Between Social and Environmental Justice Research Agendas.” Frontiers in Sociology 7 (November). https://doi.org/10.3389/fsoc.2022.995603.
Shehu, Dhurata, and Lucca Lezzerini. 2024. “The Challenges of Applying Big Data in the Urban Planning Practices for the Developing Countries. Case Study in Albania.” In. ALB. https://doi.org/10.37199/c41000117.
Singh, Shyam. 2013. “Citizens’ Participation in Urban Governance: Quest for Transparency and Accountability.” Environment and Urbanization ASIA 4 (1): 191–202. https://doi.org/10.1177/0975425313477564.
Sörensen, J., A. S. Persson, and J. Alkan Olsson. 2021. “A Data Management Framework for Strategic Urban Planning Using Blue-Green Infrastructure.” Journal of Environmental Management 299 (December): 113658. https://doi.org/10.1016/j.jenvman.2021.113658.
Srivastava, Ambey Kumar. 2017. “Segregated Data of Urban Poor for Inclusive Urban Planning in India: Needs and Challenges.” SAGE Open 7 (1): 2158244016689377. https://doi.org/10.1177/2158244016689377.
Stamou, Aikaterini, Eleni Karachaliou, Ioannis Tavantzis, Aikaterini Bakousi, Anna Dosiou, Zoi-Eirini Tsifodimou, and Efstratios Stylianidis. 2025. “Satellite Imagery for Comprehensive Urban Morphology and Surface Roughness Analysis: Leveraging GIS Tools and Google Earth Engine for Sustainable Urban Planning.” Urban Science 9 (6): 213. https://doi.org/10.3390/urbansci9060213.
Stevens, Forrest R., Andrea E. Gaughan, Catherine Linard, and Andrew J. Tatem. 2015. “Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data.” PLOS ONE 10 (2): e0107042. https://doi.org/10.1371/journal.pone.0107042.
The Ministry of Housing and Urban Affairs (MoHUA). 2015. “About Smart Cities Smartcities.” https://smartcities.gov.in/about-scm.
Un-Habitat. 2021. “City Profile and Diagnostic Report Jaipur Un-Habitat.” https://unhabitat.org.in/index.php/reports-publications/city-profile-and-diagnostic-report.
Vyas, Seema, and Lilani Kumaranayake. 2006. “Constructing Socio-Economic Status Indices: How to Use Principal Components Analysis.” Health Policy and Planning 21 (6): 459–68. https://doi.org/10.1093/heapol/czl029.
Wang, Le, Dameng Yin, Jinyan Tian, and Ying Lu. 2021. “Google Earth Engine Advancing Urban Land Change Science.” In Urban Remote Sensing, 175–88. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119625865.ch9.
Wang, Xuejun, Guangjian Yan, Xihan Mu, Donghui Xie, Jiachen Xu, Zhiyu Zhang, and Dingdan Zhang. 2022. “Human Activity Changes During COVID-19 Lockdown in ChinaA View From Nighttime Light.” GeoHealth 6 (8): e2021GH000555. https://doi.org/10.1029/2021GH000555.
Wu, Bin, Chengshu Yang, Qiusheng Wu, Congxiao Wang, Jianping Wu, and Bailang Yu. 2023. “A Building Volume Adjusted Nighttime Light Index for Characterizing the Relationship Between Urban Population and Nighttime Light Intensity.” Computers, Environment and Urban Systems 99 (January): 101911. https://doi.org/10.1016/j.compenvurbsys.2022.101911.
Xiao, Pengfeng, Xiaohui Wang, Xuezhi Feng, Xueliang Zhang, and Yongke Yang. 2014. “Detecting China’s Urban Expansion Over the Past Three Decades Using Nighttime Light Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (10): 4095–4106. https://doi.org/10.1109/JSTARS.2014.2302855.
Yu, Menglei. 2024. “Key Challenges and Potential Solutions in Smart City Governance.” Scientific and Social Research 6 (8): 173–80. https://doi.org/10.26689/ssr.v6i8.7818.
Zhao, Qiang, Le Yu, Xuecao Li, Dailiang Peng, Yongguang Zhang, and Peng Gong. 2021. “Progress and Trends in the Application of Google Earth and Google Earth Engine.” Remote Sensing 13 (18): 3778. https://doi.org/10.3390/rs13183778.