Fall 2022 Urban Planning Faculty Citation Update

The new citation data are now available for Fall 2022. Citations are tracked for regular (tenure track) faculty in urban planning programs and departments in the U.S. and Canada. I am pleased to report that over 72% of the faculty being tracked (750 out of 1,037) now have Google Scholar Citation Profiles. See the ScholarMetrics page to look up individual faculty and/or planning program data.

Top 10 Faculty (Total Citations)

Michael StorperUCLA49,42484
Lawrence FrankUC San Diego44,53492
AnnaLee SaxenianUC Berkeley35,43351
Reid EwingUniversity of Utah34,83569
Stewart FotheringhamArizona State University34,38972
Martha FeldmanUC Irvine29,85948
Carlo RattiMIT28,03685
Nik TheodoreUniversity of Illinois, Chicago26,99352
Robert BullardTexas Southern University22,52856
Julian AgyemanTufts University20,74345

Top 10 Urban Planning Programs (Median Citations)

The New School 63,2354,578
UC Berkeley173,0388,295
Arizona State University162,8365,093
New York University102,3592,415
University of Toronto112,2731,861
UC San Diego52,1619,846
Posted in bibliometrics, Citation analysis, Google Scholar, planning, publications | Leave a comment

The Prospects for AI in Urban Planning

Over the past year, we have been working along with the American Planning Association (APA) on the topic(s) of AI for urban planning. Here are a few items that are related to that work – with more on the way. APA (Petra Hurtado and her team) is also been doing some great work on smart cities. See the APA Knowledge Center for several publications: https://www.planning.org/knowledgecenter/

Sanchez, T.W. (2022). AI in Planning: Why Now Is the Time, Planning Magazine, American Planning Association, Chicago, IL. https://planning.org/planning/2022/winter/ai-in-planning-why-now-is-the-time/

Shumway, H. and T. Gordner (2022). Demystifying Artificial Intelligence in Planning. American Planning Association Knowledge Center Blog. https://planning.org/blog/9230706/demystifying-artificial-intelligence-in-planning/

Hurtado, P., Madi, N., and Sanchez, T.W. (2022). Artificial Intelligence and Urban Planning: What Planners Need to Know Now. American Planning Association Knowledge Center Podcast Series. https://planning.org/podcast/artificial-intelligence-and-urban-planning-what-planners-need-to-know-now/

Sanchez, T.W., T. Gordner, and H. Shumway. (2021). The Prospects for AI in Urban Planning. Paper presented at the Association for Collegiate Schools of Planning Annual Conference, Virtual, October.

Sanchez, T.W. and T. Gordner. (2021). The Potential for AI in Urban Planning: An Approach, presentation at the International Journal of Urban Sciences Symposium, Washington, D.C., October.

Sanchez, T.W., T. Lim, and P. Hurtado. (2022). Artificial Intelligence and Urban Planning: Opportunities and Concerns, Panel presented at the American Planning Association National Conference, San Diego, CA, May.

This work was supported through grants from the National Science Foundation’s Smart and Connected Communities Program (Award #2125259) and the Virginia Tech, Institute for Society, Culture and Environment (ISCE) Scholars Program.

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Artificial Intelligence in Urban Planning

Please let me know if you have suggestions for publications to add (tom.sanchez[at]vt.edu).

Abarca-Alvarez, Francisco Javier, Francisco Sergio Campos-Sanchez, and Rafael Reinoso-Bellido. 2018. “Demographic and Dwelling Models by Artificial Intelligence: Urban Renewal Opportunities in Spanish Coast.” International Journal of Sustainable Development and Planning 13 (7): 941–53. https://doi.org/10/gnm5fn.
Abdel-Moneim, Nancy M, and Ahmed I El Seddawy. 2021. “Towards a Better Urban Design in Respect to Environmental Behavior Using Knowledge Discovery.” Journal of Southwest Jiaotong University 56 (3). https://doi.org/10/gnbkrj.
Abduljabbar, Rusul, Hussein Dia, Sohani Liyanage, and Saeed Asadi Bagloee. 2019. “Applications of Artificial Intelligence in Transport: An Overview.” Sustainability 11 (1): 189. https://doi.org/10/gf4234.
Ahmed, Sabbir, Md. Farhad Hossain, M. Shamim Kaiser, Manan Binth Taj Noor, Mufti Mahmud, and Chinmay Chakraborty. 2021. “Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities.” In Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances, edited by Chinmay Chakraborty, Jerry Chun-Wei Lin, and Mamoun Alazab, 23–47. Advanced Sciences and Technologies for Security Applications. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-72139-8_2.
Aithal, Bharath H, and TV Ramachandra. 2016. “Visualization of Urban Growth Pattern in Chennai Using Geoinformatics and Spatial Metrics.” Journal of the Indian Society of Remote Sensing 44 (4): 617–33. https://doi.org/10/gnbkrc.
Alavi, Hamed S, Elizabeth F Churchill, Mikael Wiberg, Denis Lalanne, Peter Dalsgaard, Ava Fatah gen Schieck, and Yvonne Rogers. 2019. “Introduction to Human-Building Interaction (HBI) Interfacing HCI with Architecture and Urban Design.” https://doi.org/10/gfzv29.
Alexander, Ernest R. 2014. “‘Planning’ or e-Planning?: Implications for Theory, Education and Practice.” International Journal of E-Planning Research (IJEPR) 3 (1): 1–15. https://doi.org/10.4018/ijepr.2014010101.
Ali, Usman, and Tariq Mahmood. 2018. “Using Deep Learning to Predict Short Term Traffic Flow: A Systematic Literature Review.” In Intelligent Transport Systems – From Research and Development to the Market Uptake, edited by Tatiana Kováčiková, Ľuboš Buzna, Ghadir Pourhashem, Giuseppe Lugano, Yannick Cornet, and Nathalie Lugano, 90–101. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer International Publishing. https://doi.org/10/gpwbc5.
Allaert, G, R De Sutter, W Kellens, and W Vanneuville. 2009. “Intelligent Decision Support System Based Geo-Infonnation Technology and Spatial Planning for Sustainable Water Management in Flanders, Belgium.”
Allam, Sudhir. 2018. “The Future of Urban Models in the Big Data and AI Era: A Bibliometric Analysis.” Sudhir Allam," THE FUTURE OF URBAN MODELS IN THE BIG DATA AND AI ERA: A BIBLIOMETRIC ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320–2882.
Allam, Zaheer. 2020. “Urban Chaos and the AI Messiah.” In Cities and the Digital Revolution, 31–60. Springer.
Allam, Zaheer. 2021a. “Big Data, Artificial Intelligence, and the Rise of Autonomous Smart Cities.” In The Rise of Autonomous Smart Cities: Technology, Economic Performance and Climate Resilience, edited by Zaheer Allam, 7–30. Sustainable Urban Futures. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-59448-0_2.
Allam, Zaheer. 2021b. “Introducing the Concept of Autonomous City.” In The Rise of Autonomous Smart Cities: Technology, Economic Performance and Climate Resilience, edited by Zaheer Allam, 1–6. Sustainable Urban Futures. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-59448-0_1.
Allam, Zaheer. 2021c. “On Complexity, Connectivity, and Autonomy in Future Cities.” In The Rise of Autonomous Smart Cities: Technology, Economic Performance and Climate Resilience, edited by Zaheer Allam, 31–47. Sustainable Urban Futures. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-59448-0_3.
Allam, Zaheer, and Zaynah A. Dhunny. 2019. “On Big Data, Artificial Intelligence, and Smart Cities.” Cities 89: 80–91. https://doi.org/10/gf42z5.
Allam, Zaheer, and Peter Newman. 2018. “Redefining the Smart City: Culture, Metabolism, and Governance.” Smart Cities 1 (1): 4–25. https://doi.org/10/gf42z6.
Almahmood, Mohammed, and Hans Skov-Petersen. 2020. “Public Space Public Life 2.0: Agent-Based Pedestrian Simulation as a Dynamic Visualisation of Social Life in Urban Spaces.” Journal of Digital Landscape Architecture, 305–17.
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2022 Urban Planning Faculty Citation Update

The new citation data are now available for 2022. Citations are tracked for regular (tenure track) faculty in urban planning programs and departments in the U.S. and Canada. I am pleased to report that over 70% of the faculty being tracked (723 out of 1,020) now have Google Scholar Citation Profiles. See the ScholarMetrics page to look up individual faculty and/or planning program data.

Top 10 Faculty (Total Citations)

Michael StorperUCLA51,96384
AnnaLee SaxenianUC Berkeley34,50352
Reid EwingUniversity of Utah33,08066
Stewart FotheringhamArizona State University32,65571
Martha FeldmanUC Irvine28,67946
Carlo RattiMIT25,81682
Nik TheodoreUniversity of Illinois, Chicago25,77352
Robert BullardTexas Southern University22,36459
John ForesterCornell University20,14942
Jennifer WolchUC Berkeley20,00464

Top 10 Urban Planning Programs (Median Citations)

New York University62,9723,364
UC Berkeley172,5517,993
Harvard University82,3683,189
University of Minnesota102,3123,105
University of Toronto92,2212,113
Tufts University72,0825,072
The New School for Social Research62,0101,991

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Faculty Citations by College/School Type

Recently someone asked if there was a difference in faculty citation rates between planning programs in design/architecture colleges or schools and those in non-design related colleges or schools. Basically, the question is related to the different scholarly cultures between the design disciplines (architecture, landscape architecture, etc.) and other non-design disciplines (social science, policy, etc). I thought this was an interesting question and had not looked at it before. Using the data from 73 PAB accredited programs and my most recent citation data, the answer is “no”. Faculty in design colleges or schools average 1,758.5 citations while faculty in non-design colleges or schools average 2,029.7 citations, but there is no statistically significant difference in mean faculty citation counts at the program level (t = -0.663).

R code for the chart above:

ggboxplot(design, x = “Col_or_Sch”, y = “Mean”, fill = “Col_or_Sch”, ylab = “Mean Citations”, xlab = “School or College Type”) + theme(legend.position = “none”) + scale_y_continuous(labels = scales::comma) + scale_x_discrete(labels = c(“0” = “Non-Design”, “1” = “Design”)) + stat_summary(fun = mean, geom = “text”, col = “black”, vjust = 1.5, aes(label = paste(round(..y.., digits = 1)))) + stat_summary(fun =”mean”)

Data: design.csv 

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Total Citations by Rank for Urban Planning Scholars

Using the updated data mentioned in my previous post, I recalculated the citation ranges for assistant, associate, and full professors. There were 268 assistant professors (mean of 364 and median of 174 citations), 353 associate professors (mean of 922 and median of 540 citations), and 406 full professors (mean of 3,526 and median of 1,753 citations). For all 1,027 planning faculty, the mean number of citations was 1,806 and the median was 607.

R code for the chart above:

boxplot(Cites2021~Position,data=Cites2021, main=”Citations by Rank”,
xlab=”Total Citations”, ylab=”Rank”, horizontal=TRUE, outline=FALSE,
cex.lab=1, cex.main=2, cex.axis=0.65, col=(c(“yellow”,”green”,”red”)))

Data: Cites2021.csv

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Urban Planning Faculty Citation Counts

The scholarly citation counts have been updated for 1,027 planning faculty at 116 universities. See the searchable database (and data) at: http://scholarmetrics.com

Top 10 schools based on median faculty citations:

New York University
UC Berkeley
Harvard University
University of Toronto
University of Minnesota
Tufts University
The New School for Social Research

Top 10 faculty for total citations:

Michael StorperUCLA     50,31783
Lawrence FrankUniversity of British Columbia     40,47687
AnnaLee SaxenianUC Berkeley     33,76951
Reid EwingUniversity of Utah     31,13065
Stewart FotheringhamArizona State University     31,01771
Martha FeldmanUC Irvine     27,40046
Nik TheodoreUniversity of Illinois, Chicago     24,50351
Carlo RattiMIT     23,78478
Robert BullardTexas Southern University     21,25659
Jennifer WolchUC Berkeley     18,93863
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Sanchez, T.W. Exploring the Relationship between Combined Household Housing and Transportation Costs and Regional Economic Activity in Virginia. Land 2021, 10, 742.

See the article at: https://www.mdpi.com/2073-445X/10/7/742

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Urban Planning Academics and Twitter: Who and what?


Twitter has increasingly become a resource used by academics to share scholarship and opinions within professional networks. This paper presents a descriptive analysis of Twitter use by urban planning faculty, reporting characteristics of users, the topics posted, and indicators of Twitter influence among urban planning faculty as well as those interested in planning from outside academic circles. Approximately one-third of urban planning academics are active Twitter users, and as of yet, there have been no empirical analyses of how and why they use the social media platform. This analysis uses Twitter data from active accounts for urban planning faculty in the U.S. and Canada identified as being used for professional purposes for the period from March 2007 to April 2019. Considering how planning academics use Twitter lends insights on its usefulness for academic discussion and scholarly communications. The conclusion discusses the prospects for planning academics to better utilize Twitter to broaden and deepen their professional activities while noting particular concerns.

Keywords: planning,academic,Twitter,social media

Open access article available in the Journal of Altmetrics (click to see article).

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What is Urban Planning? Evidence from Google Scholar Citation Profiles

My primary interest in tracking citations is not to create a leaderboard of scholars based on their productivity. Instead, I use the information that I assemble to examine what is being published, where it is being published, and how it is being acknowledged within the ‘conversation’ that is urban planning scholarship. This is driven by the question, “What is planning?” The ‘conversation’ includes other modes of communications such as social media content, conference materials, and profile information generated by planning faculty. This includes some analyses using the (old) ACSP Guide to Planning Education, “Mapping the Knowledge Domain of Planning,” Twitter data, “Urban Planning Academics: Tweets and Citations,” and publication data, “The Most Frequently Cited Topics in Urban Planning Scholarship.”

Based on the Google Scholar Citation Profile data I assembled recently (see “Urban/City Planning Google Scholar Profiles from Around the World”), I performed network analyses of co-mentioned tags or labels within the 3,684 profiles in the list. Overall, there were 3,465 unique (raw) labels used which resulted in an extensive network. The top 20 labels (shown below) accounted for 41% of the total mentions and the top 100 accounted for 57%. The most popular was “Urban Planning” used by 61% of the profiles, followed by “Spatial Planning” used by 13% of profiles, and “Urban and Regional Planning” used by 9% of profiles.

Provided below the figure is a link to the raw edge data I pulled into Gephi. Please let me know if you have questions or comments – tom.sanchez@vt.edu.      

Top 20 Most Frequently Mentioned Profile Labels

Download the edge data here.

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