Using social media to evaluate associations between parking supply and parking sentiment
Tài liệu tham khảo
Afzalan, 2017, Testing the use of crowdsourced information: case study of bike-share infrastructure planning in Cincinnati, Ohio, Urban Plan., 2, 33, 10.17645/up.v2i3.1013
Dong, 2019, Predicting neighborhoods’ socioeconomic attributes using restaurant data, PNAS, 116, 15447, 10.1073/pnas.1903064116
Feuerriegel, 2019
Gibbons, 2018, Exploring the imprint of social media networks on neighborhood community through the lens of gentrification, Environment and Planning B: Urban Analytics and City Science, 45, 470
Hoehne, 2019, Valley of the sun-drenched parking space: the growth, extent, and implications of parking infrastructure in Phoenix, Cities, 89, 186, 10.1016/j.cities.2019.02.007
Hollander, 2017, Measuring urban attitudes embedded in microblogging data: shrinking versus growing cities, Town Plan. Rev., 88, 465, 10.3828/tpr.2017.29
Jiang, 2019
Jurek, 2015, Improved lexicon-based sentiment analysis for social media analytics, Security Informatics, 4, 9, 10.1186/s13388-015-0024-x
King, 2007, The political calculus of congestion pricing, Transp. Policy, 14, 111, 10.1016/j.tranpol.2006.11.002
Luca, 2016
Mjahed, 2017, Exploring the role of social media platforms in informing trip planning, Transportation Research Record: Journal of the Transportation Research Board, 2666, 1, 10.3141/2666-01
Mondschein, 2015, Five-star transportation: using online activity reviews to examine mode choice to non-work destinations, Transportation, 1
Mukhija, 2006, Quantity versus quality in off-street parking requirements, J. Am. Plan. Assoc., 72, 296, 10.1080/01944360608976752
R Core Development Team, 2011
Rashidi, 2017, Exploring the capacity of social media data for modelling travel behaviour: opportunities and challenges, Transportation Research Part C: Emerging Technologies, 75, 197, 10.1016/j.trc.2016.12.008
Reades, 2019, Understanding urban gentrification through machine learning, Urban Stud., 56, 922, 10.1177/0042098018789054
Rybarczyk, 2018, Travel and us: the impact of mode share on sentiment using geo-social media and GIS, Journal of Location Based Services, 12, 40, 10.1080/17489725.2018.1468039
Saxena, 2018, Analysing customers reactions on social media promotional campaigns: a text-mining approach, Paradigm, 22, 80, 10.1177/0971890718759163
Schweitzer, 2014, Planning and social media: a case study of public transit and stigma on twitter, J. Am. Plan. Assoc., 80, 218, 10.1080/01944363.2014.980439
Shoup, 2017
Shoup, 2018
Sparks, 2013, Online travel reviews as persuasive communication: the effects of content type, source, and certification logos on consumer behavior, Tour. Manag., 39, 1, 10.1016/j.tourman.2013.03.007
Willson, 2005, Parking policy for transit-oriented development: lessons for cities, transit agencies, and developers, Journal of Public Transportation, 8, 10.5038/2375-0901.8.5.5
Wu, 2014, Intra-urban human mobility and activity transition: evidence from social media check-in data, PLoS One, 9
Yelp, 2018
Yelp, 2018
Zukin, 2017, The omnivore’s neighborhood? Online restaurant reviews, race, and gentrification, Journal of Consumer Culture, 17, 459, 10.1177/1469540515611203