During a pandemic like now, digitization and the police have become a continuous collaboration The importance of the existence of the police is increasingly needed by a society that is increasingly developing and facing increasing social problems. The traffic police unit for the city of Samarinda is a special unit that is generally involved in the field of vehicle discipline, in that it is always ready to serve the community, especially during the pandemic. For services provided to the community, of course, not all can be covered well, given the situation and conditions of the regions that are experiencing rapid development. Thus, the importance of fulfilling the internal factors of optimal human resources in the traffic unit of the Samarinda Police also needs attention. Through the use of leadership style variables, organizational learning, and job satisfaction, then it will be measured the individual performance achievement which is also the performance of the organization. Respondents taken in the sample of this study were the entire population of members of the Samarinda Traffic Police, totaling 108 members. The use of questionnaire media is a measuring tool used in further analysis in the SEM PLS model to answer the research hypothesis. Thus, it is therefore more relevant to the use of the conceptual model of investigating the relationship between constructs using confirmatory factor analysis (CFA). This study also contains a discussion of the theory and results of empirical studies.
T. Kono, K. K. Joshi, and Y. Morita, “Floor Area Ratio and Urban Boundary Regulation in Monocentric Cities with Traffic Congestion,” SSRN Electronic Journal, 2009.
D. A. M. Babu, “Study of Congestion Contributors of Traffic Mobility in Urban Areas: A Case Study of Gaddiannaram Municipality Area Hyderabad, A.P., India,” International Journal of Scientific Research, vol. 3, no. 6, pp. 137–139, Jun. 2012.
Z. Wang, “Research and Strategy of Urban Traffic Congestion Control,” Urban Transportation & Construction, vol. 6, no. 2, p. 34, Sep. 2020.
A. Mohan RAO and K. R. RAO, “Identification Of Traffic Congestion On Urban Arterials For Heterogeneous Traffic,” Transport Problems, vol. 11, no. 3, pp. 131–142, 2017.
P. Cramton, “How Can We Eliminate Traffic Congestion in Urban Centers?,” Latest Thinking, 2017.
Hanseon Cho, 박지형, and 이동민, “Development of the Estimation Method of Traffic Congestion Costs for Highways in Urban Area,” Journal of Transport Research, vol. 16, no. 1, pp. 31–44, Mar. 2009.
M. Khelf and S. Boukebbab, “The effect of noise on the comfort of passengers inside the tramway and its impact on traffic congestion in the urban area,” Journal of Vibroengineering, vol. 20, no. 1, pp. 530–540, Feb. 2018.
E. Safirova, “Telecommuting, traffic congestion, and agglomeration: a general equilibrium model,” Journal of Urban Economics, vol. 52, no. 1, pp. 26–52, Jul. 2002.
E. T. Verhoef and J. Rouwendal, “A behavioural model of traffic congestion,” Journal of Urban Economics, vol. 56, no. 3, pp. 408–434, Nov. 2004.
A. Mohan Rao and K. Ramachandra Rao, “MEASURING URBAN TRAFFIC CONGESTION – A REVIEW,” International Journal for Traffic and Transport Engineering, vol. 2, no. 4, pp. 286–305, Dec. 2012.
A.K. Tang, “The Cost of Traffic: Evidence from the London Congestion Charge,” Journal of Urban Economics, vol. 121, p. 103302, Jan. 2021.
K. Hymel, “Does traffic congestion reduce employment growth?,” Journal of Urban Economics, vol. 65, no. 2, pp. 127–135, Mar. 2009.
R. Arnott and E. Inci, “The stability of downtown parking and traffic congestion,” Journal of Urban Economics, vol. 68, no. 3, pp. 260–276, Nov. 2010.
T. Tsekeris and N. Geroliminis, “City size, network structure and traffic congestion,” Journal of Urban Economics, vol. 76, pp. 1–14, Jul. 2013.
M. Kohan and J. M. Ale, “Discovering traffic congestion through traffic flow patterns generated by moving object trajectories,” Computers, Environment and Urban Systems, vol. 80, p. 101426, Mar. 2020.
E. Zhang, “A Time and Area Limited Epidemic Forwarding Method for Alleviating Vehicular Traffic Congestion,” The Smart Computing Review, Jun. 2012.
R. Arnott, “A bathtub model of downtown traffic congestion,” Journal of Urban Economics, vol. 76, pp. 110–121, Jul. 2013.
W. Sun, D. Guo, Q. Li, and H. Fang, “School runs and urban traffic congestion: Evidence from China,” Regional Science and Urban Economics, vol. 86, p. 103606, Jan. 2021.
M. Wang and N. Debbage, “Urban morphology and traffic congestion: Longitudinal evidence from US cities,” Computers, Environment and Urban Systems, vol. 89, p. 101676, Sep. 2021.
A.Stathopoulos and M. G. Karlaftis, “Modeling Duration of Urban Traffic Congestion,” Journal of Transportation Engineering, vol. 128, no. 6, pp. 587–590, Nov. 2002.
Acknowledgements
Authors thank Reviewers for taking the time and effort necessary to review the manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
No data available for above study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Seow Chee Hsin
Seow Chee Hsin
Nottingham University Business School, University of Nottingham Malaysia, Malaysia.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Seow Chee Hsin and Heng Meng, “Information System Performance in Digitalization Era”, Journal of Enterprise and Business Intelligence, vol.1, no.4, pp. 160-166, October 2021. doi: 10.53759/5181/JEBI202101018.