Transit network design based on travel time reliability

Yao, Baozhen; Hu, Ping; Lü, Xiaohong; Gao, Junjie; Zhang, Mingheng

doi:10.1016/j.trc.2013.12.005

Cited by 178 publications

(116 citation statements)

References 28 publications

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“…Cordeau [23] presented recent optimization models for the most commonly studied rail transportation problems, which concentrated on routing and scheduling problems. Similar research problems have been studied by Chakroborty [24], Yao et al [25,26], and Yu et al [27].…”

Section: Introductionmentioning

confidence: 56%

Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City

Guan

et al. 2015

Sustainability

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Abstract:Recently, as more people are concerned with the issues around environment protection, research about how to reduce carbon emissions has drawn increasing attention. Encouraging public transportation is an effective measure to reduce carbon emissions. However, overland public transportation does less to lower carbon because of the gradually increasing pressure of the urban road traffic. Therefore, the waterbus along the coast becomes a new direction of the urban public transport development. In order to optimize the operation plan of the waterbus, a bi-level model considering carbon emissions is proposed in this paper. In the upper-level model, a multiple objective model is established, which considers both the interests of the passengers and the operator while considering the carbon emissions. The lower-level model is a traffic model split by using a Nested Logit model. A NSGA-II (Non-dominated Sorting Genetic Algorithm-II) algorithm is proposed to solve the model. Finally, the city of Zhoushan is chosen as an example to prove the feasibility of the model and the algorithm. The result shows that the proposed model for waterbus operation optimization can efficiently reduce transportation carbon emissions and satisfy passenger demand at the same time.

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Section: Introductionmentioning

confidence: 56%

Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City

Guan

et al. 2015

Sustainability

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“…The majority of previous studies have considered the optimization of route structures. However, Yao et al [26] focused exclusively on designing route structures and then applied taboo search to determine the optimal route set. More importantly they determine whether the service has sufficient capacity to meet potential passenger demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Coastal Cruise Lines in China

Yang

Gao

Li³

2016

PROMET

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“…The average riding time for a trip by bus or subway from a parking location outside a business zone to a travel destination in the business zone was calculated as 8.00 min for parking during peak hours and 6.00 min for parking during off-peak hours based on the Beijing parking survey data [36][37][38][39]. In addition, according to the parking survey data, the average walking time (from the parking location to the destination) after parking in a business zone is approximately 3.14 min, and the average time required to walk from outside a business zone to a travel destination in the business zone was set at 8.00 min [40][41][42]. In addition, the cruising time was set at 8.00 min, 6.00 min, 2.00 min, and 0 min for the bz&p parking strategy (i.e., business zones and peak hours), the bz&n-p strategy (i.e., business zones and non-peak hours), the n-bz&p strategy (i.e., non-business zones and peak hours), and the n-bz&n-p strategy (i.e., non-business zones and non-peak hours), respectively.…”

Section: Wang Fujingmentioning

confidence: 99%

Dependence of Parking Pricing on Land Use and Time of Day

Zong

Yang

2015

Sustainability

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A key strategy of sustainable transportation, parking pricing can directly contribute to decreased greenhouse gas emissions and air pollution. This paper describes an optimal structure of parking rates in terms of parking locations and time of day. A two-level parking model based on game theory is established using parking survey data collected in Beijing in 2014. The model was estimated based on Stackelberg game and the Nash equilibrium. Using the two-level parking model, the optimal structure of parking rates for inside/outside business zones and during peak/off-peak hours was calculated. In addition, the relationship between the government (which represents the public benefit) and car users, as well as the relationships among car users in the parking system were investigated. The results indicate that equilibrium among all of the agents in the parking system can be obtained using the proposed parking rate structure. The findings provide a better understanding of parking behavior, and the two-level parking model presented in the paper can be used to determine the optimal parking rate to balance the temporal and spatial distribution of parking demand in urban areas. This research helps reduce car use and the parking-related cruising time and thus contributes to the reduction of carbon emissions and air pollution.

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Transit network design based on travel time reliability

Cited by 178 publications

References 28 publications

Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City

Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City

Optimization of Coastal Cruise Lines in China

Dependence of Parking Pricing on Land Use and Time of Day

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