Using social media to evaluate associations between parking supply and parking sentiment

Social media analysis of car parking behavior using similarity based clustering

“…Mondschein et al [ 22 ] evaluated users’ sentiment that characterizes existing car parking supply as reflected by the online reviews related to parking collected from Yelp restaurants reviews in Phoenix, Arizona regions. In their study, the sentiment analysis revealed that a negative emotion is often associated with parking reviews.…”

“…This provides suggestions to business owners and discount distribution for parking The predictive model for parking fee needs more research and optimizations in order to improve its accuracy Zong and Wang [ 39 ] Parking data collected from the area of Beijing, China. Based on large scale surveys 46,874 parking records obtained Investigate parking behavior, and parking search decisions by utilizing K2 algorithm, and Bayesian learning techniques to develop the Bayesian network The parking duration, and parking location are influenced by parking period time Limited number of parking aspects were used in the analysis Spiliopouloua and Antoniou [ 24 ] Traffic data gathered from previous studies from 6 different regions in Greece Comparative study, and analysis of the parking diagrams in a staged approach Identify illegal parking behavior and parking preferences were elicited illegal parking occurs when people don’t find free legal spaces, together with the absence of authority systems The study was limited to only some regions from Greece Teknomo and Hokao [ 40 ] Data collected by performing questionnaires with: Parking users about their parking behavior in terms of travel and individual infos and their preferences Government officials about parking strategies programs Analyze data using various model-based location such as regression, analytic, hierarchy to identify influence of parking, behavior especially in business areas Revealed some factors that influence search decisions in business areas, e.g., location, duration of parking search Parking models need more development in order to impact parking policies Wang et al [ 48 ] Collect illegal parking reports from users via a mobile app Mobile app system integrated with Wechat app as a social media platform used to report illegal parking Contribute security by integrating the mobile app with police systems to minimize illegal parking in the city Limitation with the accessibility of such system to contributors The system was only integrated with one mobile App Mondschein et al [ 41 ] Parking data collected from online reviews of a business, Yelp restaurants in the region of Phoenix, Arizona, US Analyze the sentiment that accompanies the parking online reviews Negative sentiment often accompanies the parking online reviews Reviews where parking was mentioned giv...…”

Natural Language Processing, Sentiment Analysis, and Urban Studies: A Systematic Review

“…Land use and Zoning studies using NLP and sentiment analysis approached topics related to housing prices (Su et al, 2020;Tan & Guan, 2021) and car parking (Mondschein et al, 2020;Arhaba et al, 2021). Su et al ( 2020) perform an investigation of the impact of landscape amenities on private housing rental prices in five Chinese megacities.…”

Analysis of user's car parking behaviour through twitter hashtags

“…Teknomo and Hokao (1997) employed a questionnaire approach to map three types of parking location choice models, namely Parking Demand Regression Models, Analytic Hierarchy Process and Multinomial Logit Models in Surabaya city. Mondschein et al (2020) used yelp online reviews related to parking and identified the sentiment of the individuals with respect to parking supply and business impact. In another works, Huang et al (2020) examined the parking sharing concepts and proposed a method to increase parking supply by using the parking Lots in residential areas more efficiently.…”