Practically overnight, the pandemic shifted how our communities and cities function. It disrupted our daily routines, and realigned our priorities. Even as the region has begun to reopen and recover, travel patterns are radically different than before the crisis, and it seems unlikely, even with no policy interventions that those patterns will go back to “normal” once the pandemic is behind us. Can our transportation systems--our streets and transit networks--safely and equitably get people back to work? What short and long term changes need to be implemented to ensure that people can get to their jobs without putting themselves and others at risk?
These are some of the most important questions that we need to address as the economy reopens. In this post, we focus on how we get people in and out of the Manhattan Central Business District (CBD), the region’s economic engine and densest concentration of jobs. In particular, we estimate the number of people that will need to be accommodated by the road and transit network under different short-term scenarios.
Overall, seven times more people took a train, bus, or ferry than those who drove to work in the CBD. More came by transit than any other mode, regardless of the commuter’s origin.
![Means of transportation by geography](https://img.imageboss.me/general/width/300/quality:80/work/means-of-transportation-by-geography.png?bossToken=7276858504762f800a519ccb92f84ea5724d0ffcf76e768252d38e2d1b94313a 171w, https://img.imageboss.me/general/width/600/quality:80/work/means-of-transportation-by-geography.png?bossToken=260935110dc4adb5fa2bd6ac6b5a85bd744adcd18b5455dd9b64d00b2e857768 343w, https://img.imageboss.me/general/width/900/quality:80/work/means-of-transportation-by-geography.png?bossToken=390106a9af7fa052ea629d5401b3eabb35cc2af39aa6f5f8bcd2531415a086e5 514w, https://img.imageboss.me/general/width/1200/quality:80/work/means-of-transportation-by-geography.png?bossToken=123eea9c858fdf2ce1e862ac6256e2bc96473c1d50875a2df14f58643ccca8c2 686w, https://img.imageboss.me/general/width/1500/quality:80/work/means-of-transportation-by-geography.png?bossToken=61a516fbe65fdf664434ca2f1bb4a21dd897374bf11ad505cf6076f7dbc07e5a 857w, https://img.imageboss.me/general/width/1800/quality:80/work/means-of-transportation-by-geography.png?bossToken=fd68b1008b3895ef741cb449657ad329a9a7df0087ef9e3cb1b64873c730683c 1029w, https://img.imageboss.me/general/width/2100/quality:80/work/means-of-transportation-by-geography.png?bossToken=4c4a2826698c268750b892e3f3c3a1fb8d50efb0a7f720846ce49ed5c6d7b463 1200w, https://img.imageboss.me/general/width/2400/quality:80/work/means-of-transportation-by-geography.png?bossToken=823cf3645930c7bde53844dd9f040f0a1135031a79c3fc0ff4dd117d041b25c3 1371w, https://img.imageboss.me/general/width/2700/quality:80/work/means-of-transportation-by-geography.png?bossToken=e640ac5551f440d9b1112266b65dd2a2b9f358cf6fd648484a2359f3cd71c610 1543w)
The number of people commuting to the CBD dropped from over two million to just over half a million.
The pandemic and ensuing economic shutdown, has dramatically changed travel and commuting patterns. The region lost two million jobs, including an estimated 450,000 lost in the CBD, while stay-at-home orders left businesses scrambling to find ways to allow their employees to work remotely. The Federal Reserve Bank of New York found that 61 percent of workers at service firms and 27 percent of workers at manufacturing firms in the region were working from home as of late March.
It is unclear how many people worked from home prior to the pandemic, since there are different ways to measure it. Some data sources record jobs at their business location, even if workers do not commute to that location. In addition, many workers with the option to work from home may only do so a few days a week or month. An analysis from the Bureau of Labor Statistics found that as many as 11 percent of workers worked entirely from home “on some days,” but this includes people who may only do so a few times per month. The analysis presented here used journey-to-work data from the U.S. Census Transportation Planning Products (CTPP), which classified 2% of CBD workers as working primarily from home prior to the pandemic.
When combined with job losses, the number of people estimated to be working from home resulted in more than one-and-a-half million fewer people commuting to jobs in the CBD, or about three-quarters of the pre-COVID level.
![Relative rebound of auto 072720 01](https://img.imageboss.me/general/width/300/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=49e4e361ad7ec44ce4b784053968a32c371d1faf56b28fe8676d512bf0e4cfe0 171w, https://img.imageboss.me/general/width/600/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=ce2230e9094cc587240130670fe41cede1e3f15ce8be11d0619e04328cae3474 343w, https://img.imageboss.me/general/width/900/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=5828f00a38b418da5425970b1edea1bd53e28501849f5fcf2a0e10d1eb49ffd6 514w, https://img.imageboss.me/general/width/1200/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=157abb3cb59c370c1a0b1be28bb6c77ccd073382841080d34a860459713a02e2 686w, https://img.imageboss.me/general/width/1500/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=bd760ca18eca39f93447b929dcfda91802f4cada49b1925e733d7f78dc804ad4 857w, https://img.imageboss.me/general/width/1800/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=c1b9db168dbf784968a9c8447db9da382af9c94cff39541d76d42ed8955f5472 1029w, https://img.imageboss.me/general/width/2100/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=42858cb7ac9e22e274284e83dd625455436f1d57c11b02ebb5e1fd50805b9812 1200w, https://img.imageboss.me/general/width/2400/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=b5244048b2105af505f932125536e9c501c0a129ecaa21152352a52e8c57b105 1371w, https://img.imageboss.me/general/width/2700/quality:80/work/relative-rebound-of-auto_072720-01.png?bossToken=e9db6025af0d80dd36bb012199a6af706ca315a5baea8d57b28436fa24098ce7 1543w)
As the economy has reopened, far more people are biking or driving than taking a train or bus, with ridership on subways and commuter rail especially depressed.
Short-term scenarios depend on the trajectory of pandemic and public response.
There is still a wide range of potential scenarios for how quickly the region’s economy will recover. The pace of COVID-19 infections and illness will determine what’s possible, with any number of possible consumer, business and public policy responses. Whether and when new surges in the virus occur, when and how schools reopen, and how much federal assistance will come to individuals, businesses and public agencies are among the most important and still unanswered questions.
To identify where the transportation system would undergo the most stress as more people come back to work, we modeled and compared two plausible scenarios for the next six-to-nine months:
- Stalled Recovery: This scenario assumes that the country experiences recurrent COVID-19 flare-ups and a weak national recovery, and that further job losses from business closures will negate any job gains from people returning to work. It also assumes that 75 percent of workers with jobs considered teleworkable continue to work from home by applying estimates of jobs that can be done from home by occupation.
- Steady Recovery: Based on a “Muted Recovery” scenario by McKinsey, this assumes that half of the jobs reported as “temporary job losses” are restored by the end of 2020, and that half of teleworkable job workers continue to work from home.
![Rpa region employment scenarios 062420 01](https://img.imageboss.me/general/width/300/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=c4abaf208681f950aa9007a3eceeb8a4aa457feac7e52632bfe075a2c891d1ae 171w, https://img.imageboss.me/general/width/600/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=6438ff884816ce89a74df7fadc3fa28b2c04830f2ee31dd6276a23ba25341c83 343w, https://img.imageboss.me/general/width/900/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=654dfa9bb177b55e73ec84ae68b7a63a0dc61441f4b6bdd3d67b2d640f2f28c1 514w, https://img.imageboss.me/general/width/1200/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=63ab68a4548887bacc7a2df642385de434dce652b24f4588338b0cae87ca8fe4 686w, https://img.imageboss.me/general/width/1500/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=2c98479fa837aa9ab2bcd777d21acff54727bb3d0942c3f37f539e8b7b621c03 857w, https://img.imageboss.me/general/width/1800/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=87f6562795b0471f0d4ff1ba8490576ef1909e5dc700c55c73517ea2fa5cf5e3 1029w, https://img.imageboss.me/general/width/2100/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=953b6d336928a13141d562c94262b0562b78ce8b5d12feb6f222626be5652888 1200w, https://img.imageboss.me/general/width/2400/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=0839daca522ed3e156725a78c7e0586309b4394d72898e950febb909b23823b8 1371w, https://img.imageboss.me/general/width/2700/quality:80/work/rpa-region-employment-scenarios_062420-01.png?bossToken=4ed075f4ca5b0aeaff200ca692373245b9de096b010b262959be2b6bdbbde37a 1543w)
![Nyc short term employment scenarios 062520 01](https://img.imageboss.me/general/width/300/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=decdd4d3ce398cd3e6cac64f3b6e0d536bc3a4415b77b1235feb131d53330f8c 171w, https://img.imageboss.me/general/width/600/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=de9e2b8a4729b6340c020dbd4a7bb3f2c3b335eb0c4cfd00624b17c2bb6cdb14 343w, https://img.imageboss.me/general/width/900/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=de25172d4949be13c95c1978d869e7193cdc964225f6c64c44be1500822fdfc6 514w, https://img.imageboss.me/general/width/1200/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=ce634c38e7044ed4ed5f10d8ace2669a726c6c23dfb4c4478da1508930b06aaf 686w, https://img.imageboss.me/general/width/1500/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=67468e3607ddf5c06bbb3da0c6e368794e01c80eb2e35da23eb71ad1fba52dc0 857w, https://img.imageboss.me/general/width/1800/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=c74f380cdd2496a4a5e092822fc60353d94f53e4f365fee1b3f06301f9d9584e 1029w, https://img.imageboss.me/general/width/2100/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=6a2ddd584d643b7c4cae0ba1a07fe67446c984b5f1aa8798b5c69ffd52216f56 1200w, https://img.imageboss.me/general/width/2400/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=081f8669640853fb466e20e6a2998c24425bd736c0b2c208416896afa750bfac 1371w, https://img.imageboss.me/general/width/2700/quality:80/work/nyc-short-term-employment-scenarios_062520-01.png?bossToken=8b56bf284d237ad5eef746e30d9766d7055e945e8c5a1502085847cd0a841476 1543w)
The roads will fill up, while transit ridership will remain well below normal.
We estimated the change in travel into the Manhattan CBD by estimating how different types of trips--for work, school, medical appointments, shopping, etc--would change for different modes of travel. These estimates were driven by two overriding assumptions. First, that those who are able to drive would choose to do so in much greater proportions than previously due to continued reluctance to get on a train or bus. Second, that people will be more likely to travel for work purposes than for nonessential activities like shopping or entertainment.
![Anticipated change in trips by mode 01](https://img.imageboss.me/general/width/300/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=1af7d3600e16494ad2f6083c81354f4d83c30ce7cd8dba292d44060028bffb16 171w, https://img.imageboss.me/general/width/600/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=eee74f9a975017d7bf5d18b61cfd609e5bba89910f65aa8a6c9c9e956f07f280 343w, https://img.imageboss.me/general/width/900/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=7f472d591f95b91e29e47ecc2055139be335629926a678ab777e32d5e04944a4 514w, https://img.imageboss.me/general/width/1200/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=13cb5b30488c586ae2ffeb1de9d6be190ce9e4825df5a9fb8a8ec7cf57dd325a 686w, https://img.imageboss.me/general/width/1500/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=1e4c1d526b21d429d5eb43c4a57bdcc3eab84009f8b7d85890815682a8f483b3 857w, https://img.imageboss.me/general/width/1800/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=295682ce62cf7d9fd17af5b6606669c9a5253c1b637688e48716457cb7e26463 1029w, https://img.imageboss.me/general/width/2100/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=b0a641ef2230f964c2f611733067fa78d569916b2ec007aaf7acd06780cb6bea 1200w, https://img.imageboss.me/general/width/2400/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=ca9c37810073e174b0a583ee972c9d83c53335ad7a4bb54e44d3c15cf8889391 1371w, https://img.imageboss.me/general/width/2700/quality:80/work/anticipated-change-in-trips-by-mode-01.png?bossToken=8bd637672be1b79c36b1d28c5a05d2106ad1b8555689d73c22938bcdd65207d7 1543w)
The result is that auto travel into Manhattan almost reaches pre-COVID levels in a Stalled Recovery and is slightly higher in a Steady Recovery. The main reason that auto traffic doesn’t increase even more is the same reason that auto travel into the CBD hasn’t increased for years, in spite of a substantial increase in jobs. The level of congestion approaches a point where the roads would become gridlocked with any more cars or trucks.
In both scenarios, transit ridership fails to fully recover, though it comes closer under a Steady Recovery. For transit, the sustained decrease from pre-COVID levels is due to a combination of job losses, ability to work from home, health and safety concerns about public transit, and a shift to auto for people with the ability to drive. Even this reduced level of transit ridership--49% of pre-COVID ridership in Stalled Recovery and 74% in Steady Recovery--assumes that the extensive health and safety measures undertaken by the MTA will convince enough riders to return.
The implication is that, in addition to making the trains and buses as safe as possible, we need to prioritize road and street space for pedestrians, cyclists, buses and high-occupancy vehicles. These include:
- Implement congestion pricing as soon as possible to reduce auto traffic and provide funds to the MTA that are desperately needed.
- Reform placard use to stop the parking impunity that inconveniences and endangers other New Yorkers.
- Consider high-occupancy vehicle policies, like those enacted after 9/11.
- Expand the number of dedicated BRT and bus lanes to create space for safer and more efficient public transit.
- Expand Citi Bike and the bike lane network, prioritizing low-income and communities of color, as proposed in RPA’s Five Borough Bikeway report.