Perceptions Towards the Use of Intelligent Transport System Technologies by Earthquake Victims

Islamabad (Pakistan) is a well-developed community that is experienced in natural disasters, particularly earthquakes. The problem faced by the people of Islamabad (Pakistan) is the lack of timely information immediately prior to, during and following earthquakes resulted in many causalities and other major losses in the past. Due to a lack of relevant literature, the perceptions of earthquake-affected people regarding the use of ITS technologies (that can facilitate broken communication and missing information links between different earthquake-affected people and earthquake management authorities) are unknown. In total 102 randomly selected households of Islamabad (Pakistan) were recruited to complete a questionnaire, which had been carefully designed and piloted. A Multinomial Logistic Regression approach was employed to analyse the data. In total 15 different statistically significant models were developed. The results will help in designing ITS oriented policies and management plans for the rescue, search, evacuation operations, and emergency logistics for the earthquake affected people.

[1]  S. Bull,et al.  The Efficiency of Multinomial Logistic Regression Compared with Multiple Group Discriminant Analysis , 1987 .

[2]  C. Kwak,et al.  Multinomial Logistic Regression , 2002, Nursing research.

[3]  Nick Hounsell,et al.  Driver response to variable message sign information in London , 2002 .

[4]  L. Comfort,et al.  Coordination in Rapidly Evolving Disaster Response Systems , 2004 .

[5]  Rodney X. Sturdivant,et al.  Introduction to the Logistic Regression Model , 2005 .

[6]  Agnetha Broos,et al.  Gender and Information and Communication Technologies (ICT) Anxiety: Male Self-Assurance and Female Hesitation , 2005, Cyberpsychology Behav. Soc. Netw..

[7]  Todd Litman,et al.  Lessons From Katrina and Rita: What Major Disasters Can Teach Transportation Planners , 2006 .

[8]  Aldona Jarašūniene.  Analysis of possibilities and proposals of intelligent transport system (its) implementation in Lithuania , 2006 .

[9]  Joya F. Golden,et al.  Disaster planning and risk communication with vulnerable communities: lessons from Hurricane Katrina. , 2007, American journal of public health.

[10]  G. Whiteman,et al.  Exploring the Geography of Corporate Philanthropic Disaster Response: A Study of Fortune Global 500 Firms , 2009 .

[11]  Sophia B. Liu,et al.  Citizen communications in crisis: anticipating a future of ICT-supported public participation , 2007, CHI.

[12]  Patricia G. Lange.  Publicly Private and Privately Public: Social Networking on YouTube , 2007, J. Comput. Mediat. Commun..

[13]  Pakistan Earthquake Case Study , 2009 .

[14]  Roumen Vragov,et al.  Active citizen participation using ICT tools , 2009, CACM.

[15]  Jie Yin,et al.  Using Social Media to Enhance Emergency Situation Awareness , 2012, IEEE Intelligent Systems.

[16]  Karim Djemame,et al.  Modelling uncertainty in the sustainability of Intelligent Transport Systems for highways using probabilistic data fusion , 2013, Environ. Model. Softw..

[17]  Yoshiaki Nemoto,et al.  Resilient ICT research based on lessons learned from the Great East Japan Earthquake , 2014, IEEE Communications Magazine.

[18]  Elise Miller-Hooks,et al.  Travel time resilience of roadway networks under disaster , 2014 .

[19]  S. Grant-Muller,et al.  Intelligent Transport Systems: : The propensity for environmental and economic benefits , 2014 .

[20]  Alireza Sahami Shirazi,et al.  Large-scale assessment of mobile notifications , 2014, CHI.

[21]  K. Ahsan,et al.  An ICT based Early Warning System for Flood Disasters in Pakistan , 2014 .

[22]  F. Lai,et al.  Factors Limiting the Scope of Intelligent Transport System Technologies in Disaster Relief Operations , 2016 .

[23]  N. Dufty.  Twitter turns ten: its use to date in disaster management , 2016 .

[24]  Yashwant Singh,et al.  Intelligent Transport System: A Progressive Review , 2016 .

[25]  Umme Zakia,et al.  A Navigation system for rescue operation during disaster management using LTE advanced network and WPAN , 2016, 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[26]  J. Barnett,et al.  Social media in emergency management: Twitter as a tool for communicating risks to the public , 2016 .

[27]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .