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Abstract: This research examines the spatial patterns and economic significance of cultural heritage sites along Beijing’s metro lines, with an emphasis on how urban infrastructure influences heritage preservation. Using spatial analysis methods, including the nearest-neighbor index, geographic concentration index, and location entropy, the research identifies patterns in the distribution of cultural heritage sites - such as ancient architecture, industrial heritage, and tombs - particularly concentrated within Beijing’s second ring road. The study highlights the connectivity provided by key metro lines, including Lines 1, 2, 4, 5, 7, and 8, which link cultural sites in a point distribution pattern. On these premises, the research established a hierarchical framework to evaluate cultural heritage based on proximity to metro stations, with historical and artistic values being the most significant factors. The findings suggest that heritage sites within one kilometre of metro stations exert more significant influence on their surrounding areas and emphasize the importance of integrating metro infrastructure with cultural heritage preservation. This study contributes to understanding the spatial dynamics of cultural heritage in urban environments, offering a framework for assessing the impact of heritage within contemporary infrastructure systems. Practically, the study offers insights for urban planners, metro authorities, and cultural preservation bodies, proposing thematic routes along metro lines—such as Line 1 representing a fusion of Chinese and Western cultures and Line 5 emphasizing religious culture—to enhance cultural tourism. It also emphasizes the need for coordinated efforts between stakeholders to balance heritage conservation and urban development for sustainable growth.
Keywords: dissertations, linear cultural heritage, national cultural heritage, Beijing, spatial distribution, economic assessment
Published in RUNG: 31.03.2025; Views: 698; Downloads: 14
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Keywords: life cycle assessment, sanitation systems, sustainability, remote areas, circular economy
Published in RUNG: 20.02.2023; Views: 4174; Downloads: 9
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Abstract: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work.
Keywords: data quality assessment, open government datasets, e-governance, data quality measures
Published in RUNG: 05.04.2021; Views: 3574; Downloads: 0
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Abstract: United Nation’s E-Governance Development Index is a development assessment index for all the nations around on the E-Governance front. Every country is ranked on the basis of a quantitative parameter derived out of few important components. But such development assessment index is missing at regional level in a country so that regional development can be assessed and work can be monitored. Few countries have local assessment models but are not exhaustive enough which can be used for development assessment and further development plan formation. Therefore, there is a need for this study to develop such assessment framework and develop approaches to have a meaningful contribution in improvement of E-Governance in the country at regional level. After the assessment of the regions on the development front of E-Governance, the improvement techniques must be defined for the weak parameters, so that regional development can be enhanced. For the experiment purpose, India has been chosen as the experiment country for which datasets has been used from Indian E-Governance transactions. This problem is important to be addressed because an overall quantitative measure of E-Governance development of the country will help in improving overall E-Governance rankings at world level, attract better investors, and will help the government to prepare a more inclusive plan on the development front. Most of the studies in literature are citizen centric and thus are not fit for development assessment. The current study has not only developed a framework but has also analyzed various components related to it in detail and suggested the way ahead for E-Governance in the country
Keywords: E-Governance, Development Assessment, Location Allocation, Intrusion Detection
Published in RUNG: 02.04.2021; Views: 4313; Downloads: 0
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Abstract: E-Governance has proven to be instrumental in the expansion and evolution of how the Governments interact and deliver services to its citizens. India with no exception officially started its campaign in 2006 through NeGP and by now have developed lot of commendable services electronically. With EGDI rankings of India in a report by UN being so low, it makes it mandatory to evaluate the services on a more granular level. This will make it pragmatic for the policy makers to identify the strong and weak areas of the India on E-Governance front and make an inclusive development plan for overall improvement of the development in the country.
Keywords: e-governance, EGDI, United Nations, development assessment index
Published in RUNG: 31.03.2021; Views: 3535; Downloads: 0
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