Analyzing Parking Sentiment and its Relationship to Parking Supply and the Built Environment Using Online Reviews

Jiang, Zhiqiu; Mondschein, Andrew

doi:10.1007/s42421-021-00036-1

Cited by 5 publications

(3 citation statements)

References 46 publications

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“…It is essential to note the limitations within our study. First, though the methodology for predicting race is commonly used within the literature (Elliott et al, 2009; Jiang & Mondschein, 2021; Kaplan, 2021; Xue & Harel, 2019), it is likely to not be as accurate at classifying registered individuals in our data directly. Another important caveat to our analysis is that the Part D Files used to identify patient race only include Medicare beneficiaries and may differ from the complete set of patients of a NP.…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

“…3 This package, developed by Princeton University researchers, works by comparing the last names in the NPI registry to the collection of hundreds of thousands of records of last names with their reported ethnic or racial categories in the decennial Census. This methodology has been commonly utilized in the existing literature to predict ethnicity (Elliott et al, 2009; Jiang & Mondschein, 2021; Kaplan, 2021; Xue & Harel, 2019). For example, suppose that a last name is frequently associated with a specific racial and ethnic group.…”

Section: Methodsmentioning

confidence: 99%

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Exploring the Relationship between Nurse Practitioner Full Practice Authority, Nurse Practitioner Workforce Diversity, and Disparate Primary Care Access

Plemmons

Shakya

Cato

et al. 2022

Policy, Politics, & Nursing Practice

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In this study, we examine how full nurse practitioner (NP) practice authority affects racial and ethnic diversity of the NP workforce. Specifically, the purpose of our research is to understand the relationship between the racial and ethnic composition of the NP workforce, NP level of practice authority, and the communities they service. In this paper, we compare the ethnic and racial composition of the NP workforce to the composition of the state's population, and then observe if there are any noticeable differences in the patients served by NPs when we compare full practice authority (FPA) and non-FPA states. We also estimate how FPA affects the race and ethnicity of Medicare patients served by NPs.

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Section: Discussion and Recommendationsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Exploring the Relationship between Nurse Practitioner Full Practice Authority, Nurse Practitioner Workforce Diversity, and Disparate Primary Care Access

Plemmons

Shakya

Cato

et al. 2022

Policy, Politics, & Nursing Practice

View full text Add to dashboard Cite

show abstract

“…Population density and parking are the sixth and seventh "D" in "7D" [14], which is developed from the "5D" theory. Several research studies have analyzed the relationship between the built environment and travel behavior [15], such as mode choice [16] and parking behavior [17][18][19].…”

Section: Parking and Built Environmentmentioning

confidence: 99%

How Does the Built Environment Affect Mechanical Parking Space Planning: A Case Study in Xi’an City

Wang,

2024

Applied Sciences

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Mechanical parking lots and spaces are known as the “energy saver” of urban space because of their small footprint, high efficiency, and environmental protection. However, the location and number of mechanical parking lots and space planning have become an important part of effectively exerting the function of mechanical parking lots. In order to explore the planning problem of mechanical parking lots, this study used the gradient boosting decision tree–Shapley additive explanations (GBDT-SHAPs) to measure the non-linear impact of the urban built environment on the mechanical parking spaces ratio and extract the optimal threshold of key variables. The results show that land use mix and distance to Bell Tower (CBD) are two key variables affecting mechanical parking space planning, and both have a non-linear relationship with the built environment. The threshold values are 0.83 and 7 km. The results will provide urban and transport planners with strategies for planning mechanical parking lots and spaces.

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Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction

2023

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The urban transportation landscape has been rapidly growing and dynamically changing in recent years, supported by the advancement of information and communication technologies (ICT). One of the new mobility trends supported by ICT is shared mobility, which has a positive potential to reduce car use externalities. These systems’ recent and sudden introduction was not adequately planned for, and their rapidly growing popularity was not expected, which resulted in the urgent need for different stakeholders’ intervention to ensure efficient services’ integration within the urban transportation networks and to grant an effective system operation. Several challenges face shared mobility, including fleet size management, vehicle distribution, demand balancing, and the definition of equitable prices. In this research, we developed a practical, straightforward methodology that utilizes big open-source data and different machine learning (ML) algorithms to predict the daily shared-e-scooter fleet utilization (the daily number of trips per vehicle) that could be used to drive the system’s operation policies. We used four ML algorithms with different levels of complexity, namely; Linear Regression, Support Vector Regression, Gradient Boosting Machine, and Long Short-Term Memory Neural Network, to predict the fleet utilization in Louisville, Kentucky, using the knowledge the models get from the training data in Austin, Texas. The Gradient Boosting Machine (LightGBM) was the model with the best performance prediction based on the different evaluation measures. The most critical factors impacting daily fleet utilization prediction were temporal time series features, sociodemographics, meteorological data, and the built environment.

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Analyzing Parking Sentiment and its Relationship to Parking Supply and the Built Environment Using Online Reviews

Cited by 5 publications

References 46 publications

Exploring the Relationship between Nurse Practitioner Full Practice Authority, Nurse Practitioner Workforce Diversity, and Disparate Primary Care Access

Exploring the Relationship between Nurse Practitioner Full Practice Authority, Nurse Practitioner Workforce Diversity, and Disparate Primary Care Access

How Does the Built Environment Affect Mechanical Parking Space Planning: A Case Study in Xi’an City

Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction

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