Decision Support System for an Urban Distribution Center Using Agent‐based Modeling: A Case Study of Yogyakarta Special Region Province, Indonesia

Sopha, Bertha Maya; Asih, Anna Maria Sri; Nurdiansyah, Hanif Arkan; Maulida, Rahma

doi:10.1002/9781119425526.ch11

Cited by 2 publications

(18 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following Vorst (2010), it is necessary to develop a simulation model which addresses human behavior in evacuation model because it provides a realistic prediction and, thus better problem solving. It was also evidenced that in the 2010 Mount Merapi eruption, the evacuation was not easy because many people refused to evacuate due to low perception of hazard, belief, social engagement with cultural leader and a strong sense of belonging toward their valuables and livestock (Sopha, Asih, Ilmia and Yuniarto, 2018; Sopha, Asih, Nurdiansyah and Maulida, 2018). Although the local government has provided shelters and evacuation route, it was recorded that there were 341 of casualties, which was the highest recorded casualties.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Two factors are identified as the major causes of the inefficient existing contingency and evacuation plan, i.e. the behavior of people during Merapi disaster (Sopha, Asih, Ilmia and Yuniarto, 2018; Sopha, Asih, Nurdiansyah and Maulida, 2018) and the uncertainty of eruption behavior of Mount Merapi (Mei and Lavigne, 2013). Consequently, it is, therefore, a necessity to design an evacuation plan which takes into account individuals’ evacuation behavior and addresses the dynamic nature of the eruption.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Previous studies specifically on the Mount Merapi eruption (e.g. Lavigne et al , 2008; Sopha, Asih, Ilmia and Yuniarto, 2018; Sopha, Asih, Nurdiansyah and Maulida, 2018) have indicated that disaster experience, disaster training, trust on the cultural/local leader, vulnerability, ownership of livestock/valuables are all influencing the evacuation decision making. The findings are also supported by Rahman (2017) who statistically analyzed the significant relationship between hazard perception and time to evacuate, which were acquired through a survey toward population residing surrounding Mount Merapi.…”

Section: Literature Reviewmentioning

confidence: 99%

“…When it comes to the evacuation behavior, a number of researches have studied evacuation behavior in the face of natural disaster, for instance, Lavigne et al (2008) for volcanic hazards and Pan (2006) for earthquake disaster. Sopha, Asih, Ilmia and Yuniarto (2018) and Sopha, Asih, Nurdiansyah and Maulida (2018) have explored that there are four groups of evacuation behaviors; non-adaptive (incapable to self-evacuate, dependent of others), adaptive (capable to self-evacuation, so-called adaptive behavior because they can change their behavior depending on the situation, for instance, when searching for the route), altruistic (capable to self-evacuation and willing to help others) and leader-following. Adaptive and altruistic behaviors use hazard perception as a trigger to start evacuating, whereas non-adaptive behavior depends on the decision of neighboring agents performing adaptive behavior, and leader-following behavior depends on the evacuation decision of the cultural leader.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the 2010 Mount Merapi eruption, the unpredictable pyroclastic behavior which had passed through nearby shelter caused the closure of the shelter and the movement of Internal Displaced Persons (IDPs) away to a new safe shelter, eventually resulted in the evacuation dynamics. Furthermore, different evacuation behavior of the IDPs complicated the evacuation operation as some IDPs were reluctant to evacuate due to low hazard perception and strong trust to cultural leader who refused to evacuate (Sopha, Asih, Ilmia and Yuniarto, 2018; Sopha, Asih, Nurdiansyah and Maulida, 2018). Similar evidence was also observed in volcanic disaster of Mount Karthala (Morin and Lavigne, 2009).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Mount Merapi eruption

Sopha

Achsan

Asih

2019

JHLSCM

Self Cite

View full text Add to dashboard Cite

Purpose Uneven distribution and mistarget beneficiaries are among problems encountered during post-disaster relief operations in 2010 Mount Merapi eruption. The purpose of this paper is to develop an empirically founded agent-based simulation model addressing the evacuation dynamics and to explore coordination mechanism and other promising strategies during last-mile relief delivery. Design/methodology/approach An agent-based model which was specified and parameterized by empirical research (interviews and survey) was developed to understand the mechanism of individual decision making underlying the evacuation dynamics. A set of model testing was conducted to evaluate confidence level of the model in representing the evacuation dynamics during post-disaster of 2010 Mount Merapi eruption. Three scenarios of last-mile relief delivery at both strategic and operational levels were examined to evaluate quantitatively the effectiveness of the coordination mechanism and to explore other promising strategies. Findings Results indicate that the empirically founded agent-based modeling was able to reproduce the general pattern of observable Internal Displaced Persons based on government records, both at micro and macro levels, with a statistically non-significant difference. Low hazard perception and leader-following behavior which refuses to evacuate are the two factors responsible for late evacuation. Unsurprisingly, coordination through information sharing results in better performance than without coordination. To deal with both uneven distribution and long-term demand fulfillment, coordination among volunteers during aid distribution (at downstream operation) is not sufficient. The downstream coordination should also be accompanied with coordination between aid centers at the upstream operation. Furthermore, the coordination which is combined with other operational strategies, such as clustering strategy, using small-sized trucks and pre-positioning strategy, seems to be promising. It appears that the combined strategy of coordination and clustering strategy performs best among other combined strategies. Practical implications The significant role of early evacuation and self-evacuation behavior toward efficient evacuation indicates that human factor (i.e. hazard perception and cultural factor) should be considered in designing evacuation plan. Early warning system through both technology and community empowerment is necessary to support early evacuation. The early warning system should also be accompanied with at least 69 percent of the population performing self-evacuation behavior for the effective evacuation. As information sharing through coordination is necessary to avoid redundant efforts, uneven distribution and eventually to reduce unmet demand, the government can act as a coordinating actor to authorize the operation and mobilize the resources. The combination of coordination and another strategy reducing lead time such as clustering analysis, thus increasing responsiveness, is seemly strategy for efficient and effective last-mile relief distribution. Originality/value Literature on coordination is dominated by qualitative approach, which is difficult to evaluate its effectiveness quantitatively. Providing realistic setting of the evacuation dynamics in the course of the 2010 Mount Merapi eruption, the empirically founded agent-based model can be used to understand the factors influencing the evacuation dynamics and subsequently to quantitatively examine coordination mechanisms and other potential strategies toward efficient and effective last-mile relief distribution.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Mount Merapi eruption

Sopha

Achsan

Asih

2019

JHLSCM

Self Cite

View full text Add to dashboard Cite

show abstract

City logistics challenges and innovative solutions in developed and developing economies: A systematic literature review

Arvianto

Sopha

Asih

et al. 2021

International Journal of Engineering Business Management

Self Cite

View full text Add to dashboard Cite

Varying characteristics of developed and developing countries have resulted in different challenges and innovative solutions of city logistics. This study aimed to identify research clusters on city logistics between developed and developing economies and to systematically compare city logistics challenges and associated innovative solutions for both economies. Bibliometric analysis and a systematic literature review were applied to analyze 328 peer-reviewed publications, comprising 229 (70%) and 99 (30%) articles addressing case studies in developed and developing economies, respectively. We discovered six research clusters in city logistics literature for developed countries, compared with only four for developing economies in which public policy has not been addressed. Urban growth, environmental challenges, and traffic congestion are the three major city logistics challenges in both types of economies. Furthermore, fleet increment and inadequate loading/unloading spaces are the city logistics challenges analyzed in the literature on developing countries compared with the literature on developed economies that addresses the challenges of education deficiency, regulation, emergence of new business models, and network accessibility and capacity. Consequently, innovative solutions adopted by developed countries demonstrate varied processes involving technology, policy (including public policy and sustainability measures), infrastructure, and economic measures, while for developing countries, the focus remains on effective and efficient distribution operations using optimization and collaboration efforts.

show abstract

Decision Support System for an Urban Distribution Center Using Agent‐based Modeling: A Case Study of Yogyakarta Special Region Province, Indonesia

Cited by 2 publications

References 16 publications

Mount Merapi eruption

Mount Merapi eruption

City logistics challenges and innovative solutions in developed and developing economies: A systematic literature review

Contact Info

Product

Resources

About