Research Output

@article{YAN2023103585,

title = {A model of household shared parking decisions incorporating equity-seeking household dynamics and leadership personality traits},

author = {Qianqian Yan and Tao Feng and Harry Timmermans},

url = {https://www.sciencedirect.com/science/article/pii/S0965856423000058},

doi = {https://doi.org/10.1016/j.tra.2023.103585},

issn = {0965-8564},

year  = {2023},

date = {2023-01-01},

journal = {Transportation Research Part A: Policy and Practice},

volume = {169},

pages = {103585},

abstract = {Shared parking is viewed increasingly important as a way to alleviate parking problems in urban areas. To maximize the effect of shared parking initiatives, it is critical to understand the decision of households to share private parking spaces. Current models of household decision-making fail to adequately address equity seeking/avoiding household dynamics, which may negatively affect model validity. In this study, a model, which overcomes this theoretical concern, is introduced and estimated to understand the household shared parking participation decision. Specifically, the concept of leadership personality is used, jointly with individual and household characteristics, to specify the decision weight of each spouse of a couple. A choice experiment, in which individual members of couples first answer the choice questions individually and independently, and then jointly complete the choice questions, is designed to estimate the model. Estimation results, based on data collected in Qingdao, China, support the proposed model. Results show that intra-household interactions influence the households’ shared parking participation decision and that households favor alternatives that provide higher equality. Age, leadership personality, household structure, and household financial management are significantly related to household member decision weights.},

keywords = {Household decision-making, Intra-household interaction, Leadership personality, Shared parking},

pubstate = {published},

tppubtype = {article}

}

@article{YAN2022,

title = {Private owners’ propensity to engage in shared parking schemes under uncertainty: comparison of alternate hybrid expected utility-regret-rejoice choice models},

author = {Qianqian Yan and Tao Feng and Harry Timmermans},

url = {https://www.sciencedirect.com/science/article/pii/S1942786722005094},

doi = {https://doi.org/10.1080/19427867.2022.2088568},

issn = {1942-7867},

year  = {2022},

date = {2022-01-01},

journal = {Transportation Letters},

abstract = {ABSTRACT 

To develop effective strategies for the supply of shared parking and study various theoretical choice models under uncertainty, this paper investigates private parking space owners’ propensity to engage in shared parking schemes using a stated choice experiment that involves an uncertain key attribute. A hybrid expected utility-regret model incorporating rejoice is specified to explore the participation behavior. Equivalent models considering the perception of attribute differences are also estimated. Results show that socio-demographic characteristics, social influence, government’s role, media attention, platform fee, and revenues are all important factors explaining private parking owners’ propensity to engage in shared parking schemes. Besides, the model incorporating all these components, including the emotions of regret and rejoice and the perception of attribute differences, yields the best results. These findings could help promote the policy development toward increasing people’s engagement in shared parking.},

keywords = {hybrid expected utility-regret-rejoice models, owners, perception, propensity, Shared parking},

pubstate = {published},

tppubtype = {article}

}

@article{Yan2020,

title = {Investigating private parking space owners’ propensity to engage in shared parking schemes under conditions of uncertainty using a hybrid random-parameter logit-cumulative prospect theoretic model},

author = {Q. Yan and T. Feng and H. Timmermans},

doi = {10.1016/j.trc.2020.102776},

issn = {0968090X},

year  = {2020},

date = {2020-01-01},

journal = {Transportation Research Part C: Emerging Technologies},

volume = {120},

abstract = {Shared parking allows the effective use of undersupplied parking spaces and contributes to the alleviation of urban parking problems, traffic congestion, environmental pollution, and other negative externalities of traffic. However, little is known about the acceptance of shared parking by consumers of a different socio-demographic profile. To understand the feasibility and potential success of shared parking, this paper develops a stated choice experiment with three choice options: fixed mode shared parking, flexible mode shared parking and not interested, to investigate parking space owners’ propensity to engage in shared parking under varying conditions. Because the demand for shared parking is uncertain, the revenues owners may generate are uncertain. As one of the most popular theories of decision making under uncertainty, the cumulative prospect theory is incorporated into a multinomial logit model to capture the decision problem in which some variables are uncertain and others are not. The revenue that owners expect shared parking can bring is used as the reference point to differentiate between gains and losses. Gains refer to outcomes that exceed the reference point, while losses refer to outcomes that fall short. To examine unobserved heterogeneity, a random parameter version of the model is specified to estimate the distribution of decision weights across the sample. Results show that socio-demographic characteristics, context variables, revenues and psychological concerns are all important factors in explaining parking space owners’ propensity to engage in platform-based shared parking schemes. Incorporating unobserved heterogeneous improves the overall goodness-of-fit of the model. Understanding parking space owners’ propensity to share their parking spaces in relation to their psychological concerns and uncertain conditions is critical to improve shared parking policies. The results of this paper may help designers and planners in the delivery of shared parking services and promote the success and future growth of the shared parking industry.},

keywords = {Multinomial logit model, Prospect theory, Random parameter model, Shared parking},

pubstate = {published},

tppubtype = {article}

}