Economical welfare maximisation analysis: assessing the use of existing Park-and-Ride services

Kono, Yusuke; Uchida, Kenko; Andrade, Katia

doi:10.1007/s11116-013-9498-x

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…In addition, good publicity and positive information on park and ride use on different social media platforms significantly increased the tendency to use park and ride and improved the utility of the mode. Apart from parking fees at park and ride facilities ( 28 , 29 ), researchers also identified that increasing parking costs at the destination greatly influenced the decision to switch from car to park and ride ( 18 , 21 , 30 , 31 ). In other research, the effects of context variables, such as weather, carrying luggage, other passengers, travel purpose, and time of day, on the decision-making process of car drivers with regard to choosing park and ride were also studied ( 32 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Stated Preference Approach for Measuring the Perceived Benefit to Drive-Alone Users If They Switch to Park and Ride: An Indian Perspective

Kar,

Sadhukhan,

Parida

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Park and ride facilities can be a potential instrument for addressing the rising congestion problems and ensuring sustainable urban mobility in major Indian cities, equipped with fast and excellent metro systems. The present study attempts to understand the travel behavior of commuters (four-wheeled private vehicle users only) in relation to the introduction of park and ride as a sustainable and economical alternative mode of travel to driving alone in a private vehicle in the context of Delhi, India. The present study measures the perceived benefit to drive-alone users in Delhi with regard to their willingness to pay (WTP) for switching to a better-quality park and ride service instead of using their private vehicles. Choice-based responses along with socioeconomic and travel information were collected from 559 drive-alone users using a tablet-based stated preference survey instrument. The responses were then analyzed using a multinomial logit (MNL) model. Further, WTP estimates of the noncost attributes were calculated to derive the perceived benefit to drive-alone users if they were to switch to using a park and ride service. The study also developed a generalized cost (GC) equation using the parameter and WTP estimates derived from the MNL model. Finally, the study conducted a post-estimation analysis using the GC equation to examine the influences of identified explanatory attributes on the GC for drive-alone users who switched to park and ride. “Trip length,”“parking cost,” and “parking type” exerted a significant influence on the generalized cost, indicating that drive-alone users could expect considerable savings (perceived benefit with regard to utility gain) if they were to choose park and ride.

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Section: Literature Reviewmentioning

confidence: 99%

Stated Preference Approach for Measuring the Perceived Benefit to Drive-Alone Users If They Switch to Park and Ride: An Indian Perspective

Kar,

Sadhukhan,

Parida

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…Based on parking behavioral survey data, Clayton et al [29] stated that the size of the group of people traveling together also impacts travelers' choice behavior of P&R facilities. Based on scenarios with different modes of transportation, Kono et al [30] found that the cost of transportation trips and travel time have a significant impact on the choice of P&R facilities. Very recently, several studies have been conducted on the choice behavior of demanders in shared parking.…”

Section: Influencing Factors Of Parkingmentioning

confidence: 99%

Multicriteria Model for Shared Parking and Parking Route Recommender Systems

Zhao

Wei

Pan

et al. 2022

Journal of Advanced Transportation

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In many congested areas, shared parking has gotten increasing attention because of its potential to alleviate parking resource shortages. However, managing parking resources remains a challenge when simultaneously considering multiple decision-making criteria of public travelers in allocating parking spaces and recommending optimal parking routes. To fill this gap, from four perspectives, i.e., driving, among shared parking lots, at a shared parking lot, between shared parking spaces and destinations, we proposed nine criteria for shared parking space allocations and parking route recommendations, and we also gave the quantitative models for different criteria. Furthermore, an analytic hierarchy process Entropy-TOPSIS grey relational analysis (AHP-Entropy-TOPSIS-GRA) method and an improved ant colony algorithm were proposed to solve the proposed allocation of parking spaces and recommend optimal parking routes, respectively. Finally, the validity of our proposed models and algorithms was tested by empirical parking data and road traffic data collected in Huai’an City, Jiangsu province, China. The research helps provide a theoretical foundation for implementing shared parking initiatives and improving public travelers’ parking satisfaction.

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“…In their research, the primary finding was that introduction of daily parking fees did not cause significant changes in access mode choice, facility location, or line-haul mode of park-and-ride users. 10 Kono et al 11 assess travelers' responses to the use of existing P&R services based on an economical welfare maximization approach, and they considered that P&R choice is not only influenced by parking fees but also by the fares and other attributes of alternative transportation modes.…”

Section: Introductionmentioning

confidence: 99%

Behavior decision model for park-and-ride facilities utilization

Zhao

Xia³

2017

Advances in Mechanical Engineering

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With the accelerated process of urbanization and traffic development, especially the urban rail transit system's great improvement, Park-and-Ride provides an effective mode for trips between suburbs and downtown. In this research, online and field survey is carried out on the use of Park-and-Ride facilities. Analyses are conducted on personal attributes containing gender, age, and income; the travel characteristics such as driving time during departing from origin to parking lot, parking duration, transfer mode, transfer walking time and waiting time, and transfer times; Park-and-Ride users' intentions concerned walking time, waiting time, and time looking for parking space; and reasons for Park-and-Ride trip mode not be chosen. On the basis of decomposition for travel procedures, impedance models for different trip modes including public transport, private car, and Park-and-Ride are built and then the multinomial logit model for choice probability of trip modes and Park-and-Ride demand model is established. After further analysis on the survey data, calibrations and tests for the impedance models above are performed. Finally, a case is shown to demonstrate application of the proposed model.

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Economical welfare maximisation analysis: assessing the use of existing Park-and-Ride services

Cited by 10 publications

References 15 publications

Stated Preference Approach for Measuring the Perceived Benefit to Drive-Alone Users If They Switch to Park and Ride: An Indian Perspective

Stated Preference Approach for Measuring the Perceived Benefit to Drive-Alone Users If They Switch to Park and Ride: An Indian Perspective

Multicriteria Model for Shared Parking and Parking Route Recommender Systems

Behavior decision model for park-and-ride facilities utilization

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