System dynamics model for intra-city multimodal transportation considering behavioral indicators and demand under uncertainty conditions

Abstract

PurposeBy designing a system dynamics model in the form of a multimodal transportation system, this study for the first time seeks to reduce costs and time, and increase customer satisfaction by considering uncertainties in the intra city transit system, especially demand uncertainty and provide a prototype system to prove the capability of the dynamical system.Design/methodology/approachThe paper tried to model the factors affecting the intra city multimodal transportation system by defining different scenarios in the cause-and-effect model. The maps and results developed according to system dynamics modeling principles are discussed.FindingsFour scenarios were considered given the factors affecting the urban transportation system to implement the transportation information system for reducing the material and non-material costs of wrong planning of the intra city transit system. After implementing the scenarios, scenario two was selected under the following conditions: advertising for cultural development, support of authorities by efforts such as street widening to reduce traffic, optimize infrastructure, increase and optimize public transport and etc.Originality/valueThe value of this paper is considering uncertainty in traffic optimization; taking into account behavioral and demand indicators such as cultural promotion, official support, early childhood learning, traffic hours and the impact of traveler social status; investigating the factors affecting the system under investigation and the reciprocal effects of these factors and real-world simulation by considering the factors and effects between them.

Transportation Algorithm: Awareness and Usage among Production, Operations and Logistics Managers in Rivers State, Nigeria

“…VAM. According to Taha (2019), this method starts at the northwest-corner cell (route) of the tableau (variable X 11 ). Taha (2019) outlines the following steps:…”

“…Similar to the northwest-corner method, if both a row and a column are satisfied at the same time, only one is crossed out. Next, choose the uncrossed cell with the lowest unit cost and repeat the procedure until exactly one row or column remains uncrossed (Taha, 2019).…”

“…Transportation algorithm is a special type of networks problems that for shipping a commodity from source (e.g., factories or supply side) to destinations (e.g., warehouse or demand side) (Taha, 2019). It is a linear programming stemmed from a network structure consisting of a finite number of nodes and arcs attached to them.…”

“…The supply at source i is denoted by ai, and the demand at destination j is represented by bj. The model's objective is to minimise total transportation costs while satisfying all supply and demand constraints (Taha, 2019).…”

“…Given the complex, heterogeneous nature of transportation and supply chain management (SCM) in various industries (Stüve et al, 2022), the use of algorithms has been receiving widespread attention. Transportation management, with the aid of algorithms, for the distribution of long-haul goods plays an important role in reducing costs and time, and increasing customer satisfaction (Tavakkolimoghaddam et al, 2022;Dan & Liu, 2023). Gupta et al, (2022) also submit that transportation algorithms are deployed to minimize total transportation cost and inventory cost by determining optimal routes.…”