Comparison between ad-hoc demand responsive and conventional transit: a simulation study

Navidi, Zahra; Ronald, Nicole; Winter, Stephan

doi:10.1007/s12469-017-0173-z

Cited by 41 publications

(23 citation statements)

References 39 publications

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“…Taxi has a small capacity and expensive fare, so it is difficult for taxis to accommodate high demand, and it is also difficult for travelers to use it for regular commuting. DRT has a larger capacity and cheaper fare than a taxi, but it is known that DRT is efficient only when the density of demand is low, making it inappropriate to handle an enormous demand (29)(30)(31)(32)(33). The zonal express is meaningful in this regard: it is useful for O-D pairs with large and simultaneous demands.…”

Section: Practical Suggestionsmentioning

confidence: 99%

Design of Zonal Express Bus Services to Reduce User Travel Time and Transfers Considering Demand Diversion

Moon

Kim

Cho

2021

Transportation Research Record: Journal of the Transportation R

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Zonal express is an operational strategy for express transit service that only stops in the initial and final zones of its route while skipping stops in-between. Zonal express provides a service with less travel and transfer time by aggregating trip demands with similar origins, destinations, and departure times. In this study, new zonal express routes are designed to reduce the travel and transfer times of transit users efficiently. This study develops a methodology that considers demand diversion. To meet the purpose, the following are conducted: (1) estimation of zonal express demand; (2) clustering of demand with similar origins, destinations, and departure times; (3) selection of candidate clusters; (4) optimization of stops and routes of zonal express; and (5) determining zonal express routes in which the benefit from reduced time and transfers outweighs the cost. The methodology is applied to an actual transportation network in Seoul, South Korea, using smartcard, car navigation, and spatial information data. The result shows that zonal express can reduce users’ travel time and the number of transfers effectively. This study proposes that it is desirable to introduce the zonal express sequentially from the route with the highest net benefit under a budget constraint. This study also presents the results when fares change to provide implications for pricing strategies of the zonal express. Future studies can consider incorporating various objective functions or utilizing vehicles in different time slots.

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Section: Practical Suggestionsmentioning

confidence: 99%

Design of Zonal Express Bus Services to Reduce User Travel Time and Transfers Considering Demand Diversion

Moon

Kim

Cho

2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…Unlike the conventional fixed-route transit operation problem, which usually deals with four-step issues of (1) network and line design, (2) timetabling, (3) vehicle scheduling, and (4) staff scheduling [13], the DRT plans the routes and schedules of vehicles to match passenger trips and presents vital complexity [14]. The DRT problem has been generalized as a kind of important operation research (OR) problem.…”

Section: A Demand-responsive Transit Operationmentioning

confidence: 99%

Integrating Passenger Incentives to Optimize Routing for Demand-Responsive Customized Bus Systems

Wang

Zeng

et al. 2021

IEEE Access

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The customized bus (CB) is an alternative public transportation mode that extends the flexibility and coverage of the fixed-route transit networks. It allows passengers to make reservations for trips and arranges vehicles to serve shared rides. However, the operation performance is limited to vehicle routing, the number of stops, and the length of detour times. Extra detours and stops would not be significantly avoided if deploying high-capacity vehicles. The demand control aspect is a possible way out. Releasing incentives to passengers can attract them to aggregated locations and reduce the vehicle detour times. How to determine an appropriate incentive scheme for passengers is the critical problem. This paper presents an approach to integrating the disaggregated trip choice model with the vehicle routing model to determine incentive schemes. First, the discrete choice model is established to bridge the passengers' trip choice probabilities with the influence of monetary incentives, walking time, and travel time. A vehicle routing model based on the pickups and deliveries problem is then adopted to generate the routes and schedules of vehicles to serve the influenced passengers. The result shows that the proposed approach can reduce the total running kilometers, shorten the onboard time, and increase the profits. The analysis also suggests that passengers' sensitivity towards incentives is decisive to the result.

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“…Demand-responsive transit (DRT) is a form of shared private transport (or quasi-public) for groups travelling where buses alter their routes based on particular demand rather than using fixed routes or timetables. Navidi et al [17] indicated that DRT may improve the mobility and quality of service by reducing the users perceived travel time. Wang et al [18] found that DRT meets the demand of niche markets (e.g., disabled, elderly and live in areas with low population density).…”

Section: B Demand-responsive Transit (Drt)mentioning

confidence: 99%

Optimizing Multi-Terminal Customized Bus Service With Mixed Fleet

Sun

Chien

et al. 2020

IEEE Access

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The customized bus (CB) transit is recognized as an effective transportation mode offering more flexible and demand-responsive service than traditional bus transit with fixed route and schedule, especially during the peak hours. The novelty of this study is the development of a mixed integer non-linear model for optimizing multi-terminal CB service in an urban setting. According to the estimated spatiotemporal passenger demand, the objective total cost, consisting of supplier's and users' costs, is minimized subject to capacity and time window constraints. A mixed bus fleet with various bus sizes is employed to accommodate passenger demand, which increases vehicle utilization and reduces supplier's cost. The inconvenience of passengers caused by early arrival at the destination is treated as penalty and considered in users' cost. The study optimization problem is combinatorial with many decision variables including trip assignment, bus routing and associated timetables, and fleet size. A hybrid genetic algorithm (HGA) which integrates the features of genetic algorithm (GA) and simulated annealing (SA) is developed to effectively search for the optimal solution. A real-world CB network is employed to demonstrate the applicability of the developed model and explore the relation between the model parameters and optimized results. It was found that the total cost can be reduced by 16.5% after employing multiple terminals and a mixed bus fleet.

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Comparison between ad-hoc demand responsive and conventional transit: a simulation study

Cited by 41 publications

References 39 publications

Design of Zonal Express Bus Services to Reduce User Travel Time and Transfers Considering Demand Diversion

Design of Zonal Express Bus Services to Reduce User Travel Time and Transfers Considering Demand Diversion

Integrating Passenger Incentives to Optimize Routing for Demand-Responsive Customized Bus Systems

Optimizing Multi-Terminal Customized Bus Service With Mixed Fleet

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