Creation and Data Analysis of Women Safety Index of Delhi and It’s Neighbouring Cities
Pranika Kaur1, Rinku Dixit2, Shailee Choudhary3
1Ms. Pranika Kaur, Scholar, New Delhi Institute of Management, New Delhi, India.
2Dr. Rinku Sharma Dixit, Department of Business Analytics, New Delhi Institute of Management, New Delhi, India.
3Shailee Choudhary, Department of Business Analytics, New Delhi Institute of Management, New Delhi, India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 432-437 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2368037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The objective of this study is to create a women safety index for measuring the safety of women in pilot cities and use this for the comparative assessment of five cities i.e. Delhi, Gurgaon, Faridabad, Jaipur, Ghaziabad in terms of the safety for women to travel in public places. This study has focused on searching relevant papers and urban mobility plan in order to understand urban infrastructure topic. Various statistical techniques are used to analyse different parameters like transport, security and infrastructure to provide a standardised, quantitative and transparent measure for ranking all cities. The result based on analysis indicates that Delhi performed best on all parameters while Ghaziabad is the least ranking city. But, cities like Jaipur, Faridabad and Gurgaon do poorly on some dimensions but very well on others. Moreover, results from simple linear regression shows that police strength has significant impact on reducing crime rate in Delhi. The results from the research gives us some hints to assist policy makers, Urban local bodies, Municipalities and local authorities to improve women safety in urban cities.
Keywords: Data association, multi-model filter, bearing-only tracking, passive sensor, targets
Scope of the Article: Predictive Analysis