Modeling for Assessment of Risks in Smart City Mobility Operations

Reem Al Sharif, Shaligram Pokharel

2025

Abstract

Smart city operations face risks due to project complexity and the involvement of multiple stakeholders. Such risks include cybersecurity, data security and privacy, system interoperability, maintenance of smart technology, shortage of trained experts, complicated governance, and stakeholder engagement challenges. Assessing these risks is vital to ensure the availability and efficiency of smart city services, support reputation, and sustain revenue. Existing assessment tools evaluate smart cities' operational smartness, sustainability, and management but often lack comprehensiveness in risk assessment. This paper contributes by proposing a risk assessment model using the Dempster-Shafer theory that can consider a full spectrum of risks in smart city operations. The model is evaluated on preliminary operational data from a smart transportation system in Qatar, and key operational phase risks in smart mobility are assessed.

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Paper Citation


in Harvard Style

Al Sharif R. and Pokharel S. (2025). Modeling for Assessment of Risks in Smart City Mobility Operations. In Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES; ISBN 978-989-758-732-0, SciTePress, pages 246-254. DOI: 10.5220/0013155500003893


in Bibtex Style

@conference{icores25,
author={Reem Al Sharif and Shaligram Pokharel},
title={Modeling for Assessment of Risks in Smart City Mobility Operations},
booktitle={Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES},
year={2025},
pages={246-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013155500003893},
isbn={978-989-758-732-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES
TI - Modeling for Assessment of Risks in Smart City Mobility Operations
SN - 978-989-758-732-0
AU - Al Sharif R.
AU - Pokharel S.
PY - 2025
SP - 246
EP - 254
DO - 10.5220/0013155500003893
PB - SciTePress