Multi-route choice modelling in a metropolitan context: A comparative analysis using Multinomial Logit and Fuzzy Logic based approaches

Abstract

Route choice plays a vital role in the traffic assignment and network building, as it involves decision making on part of riders. The vagueness in travellers’ perceptions of attributes of the available routes between any two locations adds to the complexities in modelling the route choice behaviour. Conventional Logit models fail to address the uncertainty in travellers’ perceptions of route characteristics (especially qualitative attributes, such as environmental effects), which can be better addressed through the theory of fuzzy sets and linguistic variables. This study thus attempts to model travellers’ route choice behaviour, using a fuzzy logic approach that is based on simple and logical ‘if-then’ linguistic rules. This approach takes into consideration the uncertainty in travellers’ perceptions of route characteristics, resembling humans’ decision-making process. Three attributes – travel time, traffic congestion, and road-side environment are adopted as factors driving people’s choice of routes, and three alternative routes between two typical locations in an Indian metropolitan city, Surat, are considered in the study. The approach to deal with multiple routes is shown by analyzing two-wheeler riders’ (e.g. motorcyclists’ and scooter drivers’) route choice behaviour during the peak-traffic time. Further, a Multinomial Logit (MNL) model is estimated, to enable a comparison of the two modelling approaches. The estimated Fuzzy Rule-Based Route Choice Model outperformed the conventional MNL model, accounting for the uncertain behaviour of travellers.

Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model

“…Data were collected from users in the Egyptian market, more specifically Alexandria as a major metropolitan city in the Egyptian region and the North African region, as well as being populated by more than 5.5 million citizens in 2023, with a growth rate of almost 2% per year [78]. The focus on a developing country (Egypt) can be broadened, as it is one of the most important economic zones in the southern Mediterranean Sea, and the increased number of inhabitants will be a much stronger incentive for the concept of the sharing economy [79]. In addition, this study builds upon previous research conducted in Egypt, specifically focusing on data collection from three major cities: Cairo, Alexandria, and Giza.…”

Research on the Coordination Model of Passenger Transportation Mode in the Intercity Comprehensive Transportation Corridor

“…Multinomial logit models have been widely used in various industries and have achieved remarkable success [32][33][34][35]. As a mode choice model, the application of the multinomial logit model in the field of transportation is numerous [36][37][38]. erefore, this paper selects the multinomial logit model to calculate the sharing rate of different transportation modes.…”