The urban transport planning with uncertainty in demand and travel time: a comparison of two defuzzification methods

Avila-Torres, Paulina A.; Caballero, Rafael; Litvinchev, Igor; Lopez-Irarragorri, Fernando; Vasant, Pandian

doi:10.1007/s12652-017-0545-x

Cited by 32 publications

(13 citation statements)

References 24 publications

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“…A variety of mobility-related solutions is proposed to make cities smart, sustainable, congestion free and environment friendly. For example; electric mobility (Lützenberger et al 2015), Carpooling (Knapen et al 2014), efficient public transport scheduling (Avila-Torres et al 2017), vehicle routing solutions (Wang et al 2018), bicycling and bike sharing programs (Tang et al 2011). The benefits of cycling at both individual and societal level are significant and well known.…”

Section: Introductionmentioning

confidence: 99%

Last-mile travel and bicycle sharing system in small/medium sized cities: user’s preferences investigation using hybrid choice model

Adnan

Altaf

Bellemans

et al. 2018

J Ambient Intell Human Comput

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First and last-mile access to and from public transport stations/stops is a major problem for encouraging public transport use. Bicycle sharing schemes have shown potential to fill this gap. Majority of studies examined the preference for using bicycle sharing schemes for large cities. Consequently, railway operators in the Netherland and Germany have started their own bike sharing schemes. Majority of the studies examined the preferences for using bike share schemes for larger cities. This study analyses the collected stated preference survey data for the use of bicycle sharing scheme for last mile travel, which is recently launched in small/medium sized cities of Belgium. Within this scheme a single docking station is available and users need to return bicycle at the same station. The survey also includes questions on respondents attitudes towards friendliness-to-cycling. The hybrid choice modelling framework is used to investigate preferences of users. Usual explanatory variables such as temperature, rain conditions, distance, rental cost, gender and age are found significant, which confirms the findings of earlier studies. Along with these; last-mile (to home) and an interaction term between rental cost and duration to keep bicycle are found significant, which indicate the negative effects of having a single docking station. Availability of escorting facility from parents/colleague/friends (a more common phenomenon in small/medium cities) also has a negative effect on the use of the examined bike share scheme. Paper also discusses promotional campaigns and marketing efforts according to the obtained results for making such schemes more successful.

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Section: Introductionmentioning

confidence: 99%

Last-mile travel and bicycle sharing system in small/medium sized cities: user’s preferences investigation using hybrid choice model

Adnan

Altaf

Bellemans

et al. 2018

J Ambient Intell Human Comput

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“…We used Mathematica 8.0 to substitute the set parameters into equations (6)- (8) and obtained the results shown below.…”

Section: Off-invoice Modementioning

confidence: 99%

“…Alonso-Ayuso et al 7 constructed a stochastic model of forestry planning risk management under uncertainty in demand and price. Avila-Torres et al 8 constructed a mathematical model of urban transport planning under uncertainty in demand and travel time. Esmat et al 9 stated a decentralized local flexibility market under uncertainty of demand.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of optimal product supply strategies for manufacturer-to-group customers based on semi-real demand patterns

Zhuo

Chau

Huang

et al. 2020

International Journal of Engineering Business Management

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Customer demand is the core of the vendor’s implementation of product supply strategies. There are three different patterns of demand: real demand, false demand, and semi-real demand. For this article, we study the product supply strategy formulated for manufacturer-to-group customers based on a semi-real demand pattern. Firstly, we construct two mathematical models in which the manufacturer obtains the best profit based on the two supply modes in the semi-real demand pattern. Secondly, we solve the optimal production volume and optimal pricing. Finally, numerical examples are used to verify the validity of the model. In accordance with the optimization principle, results of the analysis are extended to the range of optimal value of product profit in the demand model, so as to explore the mechanism of manufacturers for maximizing group customers’ product profits under the semi-real demand model.

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“…Gajovic et al [24] presented a developed fuzzy logic model based on the analytic hierarchy process (AHP) model and fuzzy analytic hierarchy process (FAHP). Avila-Torres et al [25] proposed an integrated mathematical model for the frequency calculation and departure time problem considering uncertainty in demand and travel time.…”

Section: Introductionmentioning

confidence: 99%

Multiple Cross-docks Scheduling with Multiple Doors using Fuzzy Approach and Metaheuristic Algorithms

Movassaghi

Darestani

2021

J. Oper. Res. Soc. China

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The urban transport planning with uncertainty in demand and travel time: a comparison of two defuzzification methods

Cited by 32 publications

References 24 publications

Last-mile travel and bicycle sharing system in small/medium sized cities: user’s preferences investigation using hybrid choice model

Last-mile travel and bicycle sharing system in small/medium sized cities: user’s preferences investigation using hybrid choice model

Mathematical modeling of optimal product supply strategies for manufacturer-to-group customers based on semi-real demand patterns

Multiple Cross-docks Scheduling with Multiple Doors using Fuzzy Approach and Metaheuristic Algorithms

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