1 00:00:00,760 --> 00:00:02,679 Speaker 1: Stand clear of the closing doors. 2 00:00:02,720 --> 00:00:08,000 Speaker 2: Please, When was the last time you took public transportation? 3 00:00:09,400 --> 00:00:11,440 Speaker 2: Maybe you're sitting on a local city bus right now, 4 00:00:11,640 --> 00:00:14,200 Speaker 2: or maybe even on an Amtrak train. Here in New 5 00:00:14,240 --> 00:00:17,800 Speaker 2: York City, commuting often means taking the subway. And if 6 00:00:17,800 --> 00:00:20,759 Speaker 2: there's one thing that unites New Yorkers, it's complaining about 7 00:00:20,800 --> 00:00:26,079 Speaker 2: the subway, dirty stations, train delays, weekend schedule changes, overcrowding, crime, 8 00:00:26,400 --> 00:00:29,080 Speaker 2: the list goes on, and remembering that you paid almost 9 00:00:29,120 --> 00:00:32,000 Speaker 2: three dollars for this ride, you're left to wonder where 10 00:00:32,040 --> 00:00:34,680 Speaker 2: that money is going. But even if you don't live 11 00:00:34,680 --> 00:00:36,879 Speaker 2: in New York, if you use public transportation and have 12 00:00:37,000 --> 00:00:40,160 Speaker 2: had complaints about it, it could very well get worse soon. 13 00:00:40,760 --> 00:00:43,800 Speaker 2: Billions of dollars in pandemic era emergency aid will dry 14 00:00:43,880 --> 00:00:46,879 Speaker 2: up by next year, and transit agencies all across the 15 00:00:46,960 --> 00:00:51,000 Speaker 2: US are bracing for impact that'll affect millions of Americans 16 00:00:51,000 --> 00:00:53,559 Speaker 2: who rely on public transportation every day to get to 17 00:00:53,600 --> 00:00:57,400 Speaker 2: work and run their daily errands. Bloomberg Municipal finance and 18 00:00:57,480 --> 00:01:01,440 Speaker 2: transportation reporter Skylar Woodhouse reports that the budget shortfalls faced 19 00:01:01,440 --> 00:01:04,679 Speaker 2: by some of the country's largest public transportation agencies could 20 00:01:04,680 --> 00:01:09,679 Speaker 2: put these already overburdened and underfunded services even closer to collapse. 21 00:01:16,440 --> 00:01:19,560 Speaker 2: I'm Scarlett Voo today on the big take, Mind the gap, 22 00:01:19,720 --> 00:01:22,319 Speaker 2: or better yet, stand clear of the closing door of 23 00:01:22,400 --> 00:01:32,360 Speaker 2: transit funding. Since the pandemic, public transportation agencies have seen 24 00:01:32,440 --> 00:01:35,360 Speaker 2: precipitous drops in ridership, and certainly that was a case 25 00:01:35,440 --> 00:01:38,640 Speaker 2: during lockdown, but even then it's been a long road 26 00:01:38,640 --> 00:01:42,039 Speaker 2: to recovery. And this matters because one major source of 27 00:01:42,120 --> 00:01:45,560 Speaker 2: revenue for these agencies comes from fares. How much did 28 00:01:45,600 --> 00:01:48,000 Speaker 2: ridership drop nationwide during the pandemic? 29 00:01:48,600 --> 00:01:51,960 Speaker 3: When the pandemic first rolled around these transitationcies across the country, 30 00:01:51,960 --> 00:01:54,920 Speaker 3: and especially in the major cities, they took a serious 31 00:01:55,000 --> 00:01:55,960 Speaker 3: drop in ridership. 32 00:01:56,400 --> 00:01:59,800 Speaker 1: New York subway ridership is down nearly ninety percent overall. 33 00:02:00,160 --> 00:02:01,760 Speaker 1: City data shows it's. 34 00:02:01,600 --> 00:02:04,440 Speaker 3: Down by less in low income neighborhoods like the Bronx 35 00:02:04,440 --> 00:02:06,320 Speaker 3: worl It only dropped by fifty five percent. 36 00:02:06,400 --> 00:02:09,800 Speaker 4: It's a ridership roller coaster for the Chicago Transit Authority. 37 00:02:11,560 --> 00:02:15,240 Speaker 4: As COVID nineteen fears go up, the number of passengers 38 00:02:15,280 --> 00:02:18,560 Speaker 4: takes a dip. That's an eighty seven percent dip on 39 00:02:18,600 --> 00:02:20,120 Speaker 4: the rails. 40 00:02:20,120 --> 00:02:23,239 Speaker 3: Each agency saw different levels of numbers, but if you 41 00:02:23,240 --> 00:02:26,080 Speaker 3: look at BART, for example, Bay Area Rapid Transit District 42 00:02:26,080 --> 00:02:29,240 Speaker 3: out in San Francisco, basically like an up to ninety 43 00:02:29,280 --> 00:02:31,840 Speaker 3: three percent drop in their ridership, and that is quite 44 00:02:32,040 --> 00:02:34,240 Speaker 3: mind bogging, Like if you think about it, if you 45 00:02:34,280 --> 00:02:37,600 Speaker 3: think about transit pre COVID and how you know you 46 00:02:37,600 --> 00:02:40,639 Speaker 3: could barely get on a train it would be completely packed, 47 00:02:40,680 --> 00:02:43,760 Speaker 3: to being face to face with complete strangers, to almost 48 00:02:43,840 --> 00:02:47,200 Speaker 3: the complete opposite of that, to where maybe nobody's on 49 00:02:47,240 --> 00:02:50,960 Speaker 3: the train, just a completely different energy. The ridership just 50 00:02:50,960 --> 00:02:53,400 Speaker 3: totally took a plummet as people started working from home. 51 00:02:55,200 --> 00:02:58,840 Speaker 2: How much has ridership returned compared with pre pandemic levels. 52 00:02:59,280 --> 00:03:03,160 Speaker 3: The's been coming back at different levels across different agencies. 53 00:03:03,600 --> 00:03:06,320 Speaker 3: If you look in New York with the MTA, I 54 00:03:06,320 --> 00:03:10,560 Speaker 3: think ridership has been hovering on weekdays between like seventy 55 00:03:10,600 --> 00:03:13,600 Speaker 3: to eighty percent. It's not exactly the pre COVID levels, 56 00:03:13,600 --> 00:03:17,079 Speaker 3: but they're inching pretty closely. So ridership is slowly coming 57 00:03:17,160 --> 00:03:20,119 Speaker 3: back as workers are starting to go back into the offices. 58 00:03:20,480 --> 00:03:22,880 Speaker 3: And there's a lot of projections out there that say, 59 00:03:22,919 --> 00:03:25,800 Speaker 3: you know, ridership still won't return to those pre COVID 60 00:03:25,880 --> 00:03:29,000 Speaker 3: levels for quite some time. Some agencies are seeing it 61 00:03:29,160 --> 00:03:32,400 Speaker 3: at like seventy to eighty percent, but some agencies are 62 00:03:32,440 --> 00:03:34,920 Speaker 3: still hovering maybe in the fifty percent level. It just 63 00:03:34,960 --> 00:03:38,040 Speaker 3: really depends on where you are, where you're located, and 64 00:03:38,120 --> 00:03:40,920 Speaker 3: what that returned office picture looks like for that city. 65 00:03:41,600 --> 00:03:43,360 Speaker 2: And it also depends on what day of the week. 66 00:03:43,480 --> 00:03:47,920 Speaker 2: Mondays and Fridays are ghost towns on public transit, whereas Tuesday, Wednesday, Thursday, 67 00:03:47,960 --> 00:03:51,000 Speaker 2: you're back to squeezing in and breathing in someone's bad 68 00:03:51,040 --> 00:03:54,600 Speaker 2: breath or under someone's armpit in my case. Apart from 69 00:03:54,840 --> 00:03:58,280 Speaker 2: fair revenue, where do the transit agencies typically get their 70 00:03:58,280 --> 00:04:00,600 Speaker 2: funding at the state, the local, and the fact levels. 71 00:04:01,320 --> 00:04:04,800 Speaker 3: The other key part for systems to receive funding is 72 00:04:04,840 --> 00:04:08,560 Speaker 3: through different levels of taxes, so sales tax, some sort 73 00:04:08,600 --> 00:04:12,000 Speaker 3: of local tax. It's those types of taxes that are 74 00:04:12,120 --> 00:04:15,880 Speaker 3: being directed towards transit agencies. But at the same time, 75 00:04:15,920 --> 00:04:17,760 Speaker 3: you know, they also still rely a little bit on 76 00:04:17,880 --> 00:04:19,560 Speaker 3: funding coming from like advertising. 77 00:04:20,760 --> 00:04:23,640 Speaker 2: So during the pandemic and in the immediate aftermath of 78 00:04:23,680 --> 00:04:27,160 Speaker 2: the pandemic, the federal government gave some money to transit agencies. 79 00:04:27,200 --> 00:04:29,920 Speaker 2: How much money did the federal government allocate and what 80 00:04:30,040 --> 00:04:33,080 Speaker 2: did transit agencies across the country use that money for. 81 00:04:33,560 --> 00:04:37,120 Speaker 3: When the pandemic first rolled around, Basically the federal government 82 00:04:37,279 --> 00:04:40,760 Speaker 3: had to jump in and offer a lifeline to these agencies. 83 00:04:41,080 --> 00:04:45,320 Speaker 3: Just to get some context here, Historically in the US, 84 00:04:45,720 --> 00:04:50,719 Speaker 3: transit agencies usually don't receive the operating funding from the 85 00:04:50,720 --> 00:04:53,919 Speaker 3: federal government. Now you might see the federal government step 86 00:04:53,920 --> 00:04:56,480 Speaker 3: been here and there for infrastructure related issues, so that 87 00:04:56,480 --> 00:04:59,080 Speaker 3: incodes words like the capital budget, but in terms of 88 00:04:59,120 --> 00:05:03,279 Speaker 3: the operating side, federal government usually isn't helping keeping these 89 00:05:03,320 --> 00:05:07,119 Speaker 3: agencies running their day to day operations. So that being said, 90 00:05:07,480 --> 00:05:11,560 Speaker 3: these transit agencies saw about seventy billion in aid and 91 00:05:11,600 --> 00:05:12,760 Speaker 3: that was dispersed, you know. 92 00:05:12,720 --> 00:05:14,800 Speaker 1: Across the country to various agencies. 93 00:05:15,600 --> 00:05:17,719 Speaker 2: So it's basically to keep them operating. I mean, it 94 00:05:17,800 --> 00:05:20,719 Speaker 2: was the most basic operating funding you could ask for. 95 00:05:21,160 --> 00:05:23,520 Speaker 3: Exactly yeah, literally just to make sure that you know that, 96 00:05:23,640 --> 00:05:25,839 Speaker 3: like they could still have trains running. 97 00:05:27,600 --> 00:05:30,839 Speaker 2: So now that the federal money is expiring or being 98 00:05:30,880 --> 00:05:33,920 Speaker 2: phased out, what do these transit agencies stand to lose 99 00:05:33,960 --> 00:05:36,080 Speaker 2: as results of budget shortfalls? 100 00:05:36,680 --> 00:05:41,200 Speaker 3: So it is actually a pretty scary picture especially if 101 00:05:41,200 --> 00:05:44,520 Speaker 3: you are one who lives in a major metro city 102 00:05:44,680 --> 00:05:47,800 Speaker 3: who is you know, dependent upon transit. I'm going to 103 00:05:47,960 --> 00:05:50,599 Speaker 3: use the Metro system in DC as an example. So 104 00:05:50,680 --> 00:05:52,640 Speaker 3: they're running up against the seven hundred and fifty million 105 00:05:52,640 --> 00:05:56,600 Speaker 3: dollars budget shortfall that could start as soon as next July. 106 00:05:57,080 --> 00:05:58,720 Speaker 1: So basically next they have. 107 00:05:58,760 --> 00:06:02,000 Speaker 3: To you know, grow it away to balance their budget 108 00:06:02,080 --> 00:06:05,559 Speaker 3: by April. But if that doesn't happen, then they're looking 109 00:06:05,600 --> 00:06:10,600 Speaker 3: at massive service cuts across their bus network, trade massive layoffs. 110 00:06:10,640 --> 00:06:13,760 Speaker 3: They're an agency of about twelve thousand people and that's 111 00:06:13,839 --> 00:06:16,200 Speaker 3: looking to probably cut that by around twenty percent. 112 00:06:16,720 --> 00:06:19,360 Speaker 5: General Manager Randy Clark says that the transit agency must 113 00:06:19,400 --> 00:06:21,920 Speaker 5: close the seven hundred and fifty million dollars budget gap 114 00:06:22,080 --> 00:06:24,640 Speaker 5: in the first half of twenty twenty four or face 115 00:06:24,680 --> 00:06:28,440 Speaker 5: some big changes. Some of those changes, all Metro train 116 00:06:28,520 --> 00:06:31,479 Speaker 5: stations would close at ten PM. Typically they're open until 117 00:06:31,480 --> 00:06:34,920 Speaker 5: midnight or later. Ten of Metro's ninety eight stations would 118 00:06:34,920 --> 00:06:38,800 Speaker 5: shut down completely. On metro bus, sixty seven of the 119 00:06:38,839 --> 00:06:41,440 Speaker 5: one hundred and thirty five lines would be eliminated, and 120 00:06:41,480 --> 00:06:43,960 Speaker 5: thousands of Metro employees would lose their jobs. 121 00:06:45,080 --> 00:06:47,520 Speaker 3: So a big part of it is that these systems 122 00:06:47,560 --> 00:06:50,880 Speaker 3: are running up against having to do layoffs, service cuts, 123 00:06:51,080 --> 00:06:54,039 Speaker 3: and then it could also impact safety and security. I 124 00:06:54,040 --> 00:06:55,719 Speaker 3: think one thing that's been in the news a lot 125 00:06:55,960 --> 00:06:59,640 Speaker 3: is how cities are kind of combating these perceptions that 126 00:06:59,680 --> 00:07:02,760 Speaker 3: crime missrizing. What do the crime levels look like? So 127 00:07:02,920 --> 00:07:05,600 Speaker 3: a lot of systems have had to increase their security 128 00:07:05,640 --> 00:07:08,400 Speaker 3: presence a little bit. So that could also be off 129 00:07:08,440 --> 00:07:11,880 Speaker 3: the table, depending on if they can or cannot find 130 00:07:11,880 --> 00:07:13,680 Speaker 3: a way to balance their operating budget. 131 00:07:14,920 --> 00:07:18,000 Speaker 2: What are experts projecting when it comes to the federal 132 00:07:18,040 --> 00:07:22,480 Speaker 2: money expiring and creating this vicious cycle that deepens budget 133 00:07:22,480 --> 00:07:24,160 Speaker 2: woes for transit agencies. 134 00:07:24,880 --> 00:07:28,080 Speaker 3: Transit in the US has not really been the top 135 00:07:28,120 --> 00:07:31,040 Speaker 3: priority in terms of funding, and this is raising that 136 00:07:31,120 --> 00:07:33,760 Speaker 3: attention to like, look, if we are going to prioritize 137 00:07:33,760 --> 00:07:36,200 Speaker 3: transit and the US and as we do, you know, 138 00:07:36,240 --> 00:07:38,600 Speaker 3: for example, have these climate goals, Transit is one of 139 00:07:38,640 --> 00:07:41,200 Speaker 3: the cleaner ways to move around. So it's really kind 140 00:07:41,240 --> 00:07:44,200 Speaker 3: of waking people up to like, Okay, how can we 141 00:07:44,320 --> 00:07:48,120 Speaker 3: establish some sort of recurring revenues for these agencies that's 142 00:07:48,160 --> 00:07:51,120 Speaker 3: not so tied to fares and what are the other 143 00:07:51,480 --> 00:07:54,800 Speaker 3: options that can be done to keep these systems afloat, 144 00:07:54,960 --> 00:07:57,280 Speaker 3: and some people have said that we should treat transit 145 00:07:57,320 --> 00:07:59,800 Speaker 3: in the US as like a social service. 146 00:08:00,960 --> 00:08:02,840 Speaker 2: After the break, a look at some of the biggest 147 00:08:02,840 --> 00:08:13,600 Speaker 2: public transit systems facing budget shortfalls. So when it comes 148 00:08:13,640 --> 00:08:17,280 Speaker 2: to the MTA, that's the nation's largest mass transit system overall, 149 00:08:17,640 --> 00:08:21,160 Speaker 2: it was already heavily indebted before the pandemic. What does 150 00:08:21,200 --> 00:08:23,640 Speaker 2: its shortfall look like right now as federal age dries up. 151 00:08:24,040 --> 00:08:27,760 Speaker 3: So the Metropolitan Transportation Agency in New York has actually 152 00:08:28,120 --> 00:08:32,439 Speaker 3: become like the kind of example that these other agencies 153 00:08:32,480 --> 00:08:36,679 Speaker 3: are now trying to model themselves after. So basically, right now, 154 00:08:36,800 --> 00:08:41,679 Speaker 3: what the MTA has planned is that they will receive 155 00:08:42,080 --> 00:08:45,680 Speaker 3: funding from a payroll tax on businesses in New York 156 00:08:45,720 --> 00:08:48,800 Speaker 3: City that will help fund the agency, and that's supposed 157 00:08:48,880 --> 00:08:53,160 Speaker 3: to go through about twenty twenty seven. But the governor 158 00:08:53,240 --> 00:08:56,840 Speaker 3: also is hoping that they can start pulling casino revenue 159 00:08:57,160 --> 00:08:59,920 Speaker 3: and use that revenue to go towards the MTA. 160 00:09:00,840 --> 00:09:03,960 Speaker 6: It's no secret you know this. The agency is in 161 00:09:04,000 --> 00:09:07,760 Speaker 6: a deep fiscal canyon, and the governor's proposed budget now 162 00:09:07,840 --> 00:09:11,120 Speaker 6: provides hundreds of millions of dollars to keep the buses 163 00:09:11,240 --> 00:09:15,160 Speaker 6: rolling and the trains running. Governor Jokell proposed a small 164 00:09:15,240 --> 00:09:18,800 Speaker 6: increase in what's called the payroll mobility tax that's paid 165 00:09:18,840 --> 00:09:21,920 Speaker 6: by businesses, as well as a dedicated share of future 166 00:09:22,120 --> 00:09:25,200 Speaker 6: casino revenue once Downstate Casino one. 167 00:09:25,240 --> 00:09:27,400 Speaker 3: Now the casino is still a work in progress, so 168 00:09:27,480 --> 00:09:29,920 Speaker 3: it is kind of up in the air, but it's 169 00:09:30,000 --> 00:09:31,679 Speaker 3: just another short term fix. 170 00:09:32,960 --> 00:09:35,040 Speaker 2: The fact of the matter is that New York's MTA 171 00:09:35,200 --> 00:09:38,480 Speaker 2: is in this uncomfortable position. Its funding is set by Albany, 172 00:09:38,720 --> 00:09:41,480 Speaker 2: even though mt operates in the city and the state 173 00:09:41,520 --> 00:09:44,360 Speaker 2: has underfunded the MTA for decades. Can you tell us 174 00:09:44,360 --> 00:09:46,160 Speaker 2: a little bit about why the MTA has been set 175 00:09:46,240 --> 00:09:48,559 Speaker 2: up this way and how it has did a disservice 176 00:09:48,600 --> 00:09:50,200 Speaker 2: to New York City residents as a result. 177 00:09:50,800 --> 00:09:54,280 Speaker 3: I think a lot of people when they have frustrations 178 00:09:54,360 --> 00:09:57,080 Speaker 3: with the MTA, they're like, oh, the mayor should have 179 00:09:57,120 --> 00:09:58,520 Speaker 3: been doing better with this. 180 00:09:58,960 --> 00:10:02,000 Speaker 1: The head of the NTI reports to the governor, not 181 00:10:02,080 --> 00:10:02,520 Speaker 1: the mayor. 182 00:10:03,880 --> 00:10:06,400 Speaker 2: You mentioned Washington, the Metro and how the numbers they 183 00:10:06,400 --> 00:10:09,439 Speaker 2: are really looking very dire. Why is the problem in 184 00:10:09,520 --> 00:10:11,000 Speaker 2: DC particularly acute? 185 00:10:11,000 --> 00:10:11,200 Speaker 1: Though? 186 00:10:12,000 --> 00:10:16,680 Speaker 3: DC's interesting because it's still a major city, but they're 187 00:10:16,880 --> 00:10:20,199 Speaker 3: struggling because I mean, you think of Washington, DC, all 188 00:10:20,200 --> 00:10:22,000 Speaker 3: you can think about is the federal government, and like 189 00:10:22,040 --> 00:10:25,679 Speaker 3: a lot of those federal government employees haven't really returned 190 00:10:25,880 --> 00:10:28,319 Speaker 3: back to the offices and the same way that you 191 00:10:28,400 --> 00:10:31,719 Speaker 3: might see in corporate America. They actually just relocated to 192 00:10:31,880 --> 00:10:34,640 Speaker 3: Washington from New York. And I have kind of noticed 193 00:10:34,679 --> 00:10:38,440 Speaker 3: the differences in terms of what kind of the downtowns 194 00:10:38,559 --> 00:10:41,440 Speaker 3: feel like during the work week, in terms of like 195 00:10:41,480 --> 00:10:45,240 Speaker 3: going into the office. So the transit operators here are 196 00:10:45,240 --> 00:10:47,800 Speaker 3: trying to figure out, Okay, people. 197 00:10:47,520 --> 00:10:49,679 Speaker 1: Aren't referring to the office, what are we going to do? 198 00:10:50,120 --> 00:10:52,800 Speaker 3: They're going to have to even start making cutbacks, and 199 00:10:52,840 --> 00:10:55,240 Speaker 3: they're not even on the same scale as like an MTA, 200 00:10:55,360 --> 00:10:58,120 Speaker 3: but they're still operating in a major city that still 201 00:10:58,160 --> 00:10:59,960 Speaker 3: has to move people around. 202 00:11:00,800 --> 00:11:03,000 Speaker 2: You mentioned work from home and how that seems to 203 00:11:03,000 --> 00:11:06,520 Speaker 2: be more common in a place like Washington than in 204 00:11:06,559 --> 00:11:09,720 Speaker 2: New York. How about California and the Bay Area in particular, 205 00:11:09,760 --> 00:11:13,320 Speaker 2: which had suffered some really horrible traffic in Silicon Valley 206 00:11:13,360 --> 00:11:15,880 Speaker 2: to the city. We know that both the bart the 207 00:11:15,880 --> 00:11:18,200 Speaker 2: Bay Area of Rapid Transit District and the MUNI, the 208 00:11:18,200 --> 00:11:22,439 Speaker 2: San Francisco municipal railway are anticipating financial troubles. How much 209 00:11:22,480 --> 00:11:25,520 Speaker 2: of that is tied to people staying home and not 210 00:11:25,640 --> 00:11:26,839 Speaker 2: going into the office. 211 00:11:27,240 --> 00:11:30,120 Speaker 3: In the Bay Area, we think of big tech, and 212 00:11:30,280 --> 00:11:32,520 Speaker 3: you know a lot of the tech companies they weren't 213 00:11:32,520 --> 00:11:34,480 Speaker 3: necessarily rushing back into the office. 214 00:11:34,559 --> 00:11:36,880 Speaker 1: I think a lot of people in the Bay Area 215 00:11:37,080 --> 00:11:40,120 Speaker 1: have moved to the surrounding suburbs a little bit. 216 00:11:40,600 --> 00:11:44,000 Speaker 3: Bloomberg has done a really nice job and tracking how 217 00:11:44,440 --> 00:11:47,960 Speaker 3: people also are moving out of the Bay Area to 218 00:11:48,040 --> 00:11:49,160 Speaker 3: Texas or even Florida. 219 00:11:49,200 --> 00:11:52,679 Speaker 5: Really twelve months people leaving the Bay Area and exodus, 220 00:11:52,720 --> 00:11:54,200 Speaker 5: if you will, during this pandemic. 221 00:11:54,240 --> 00:11:57,040 Speaker 1: But where is everyone going? Is it Austin, is at Renos, 222 00:11:57,080 --> 00:11:57,840 Speaker 1: at Las Vegas? 223 00:11:58,040 --> 00:11:59,320 Speaker 3: And at the same time, I think a lot of 224 00:11:59,320 --> 00:12:02,559 Speaker 3: people also were buying cars and are driving places. 225 00:12:04,760 --> 00:12:05,880 Speaker 1: So how is. 226 00:12:05,720 --> 00:12:08,440 Speaker 2: The California state and regional government stepping in to help 227 00:12:08,520 --> 00:12:12,240 Speaker 2: lessen the budget shortfall faced by Bart and Muni. 228 00:12:12,600 --> 00:12:15,480 Speaker 1: California Governor Gavin Newsom and the state legislator. 229 00:12:15,600 --> 00:12:18,560 Speaker 3: They've put together some short term funding that will be 230 00:12:19,000 --> 00:12:22,440 Speaker 3: dispersed throughout the entire state. And I think that's one 231 00:12:22,480 --> 00:12:25,400 Speaker 3: thing that's really interesting when you compare California in New York. 232 00:12:25,520 --> 00:12:28,080 Speaker 3: So in New York, MTA is pretty much like the 233 00:12:28,280 --> 00:12:33,240 Speaker 3: main transit operator, and in California you have so many 234 00:12:33,280 --> 00:12:36,240 Speaker 3: different systems, so it's not just kind of like the 235 00:12:36,280 --> 00:12:38,199 Speaker 3: governor can just be like, oh, Bart, you're going to 236 00:12:38,240 --> 00:12:39,160 Speaker 3: get this amount of money. 237 00:12:39,320 --> 00:12:40,720 Speaker 1: They have to really divvy it up. 238 00:12:40,640 --> 00:12:44,560 Speaker 3: Across all the various networks that are all throughout the state, 239 00:12:44,640 --> 00:12:47,280 Speaker 3: from northern California to southern California, at. 240 00:12:47,320 --> 00:12:48,240 Speaker 1: Least in the Bay Area. 241 00:12:48,480 --> 00:12:51,560 Speaker 3: They're looking to try and put some sort of long 242 00:12:51,640 --> 00:12:55,080 Speaker 3: term funding plan on the ballot in an upcoming election 243 00:12:55,200 --> 00:12:57,480 Speaker 3: in the next couple of years, so that way they 244 00:12:57,480 --> 00:12:59,920 Speaker 3: can get voters input to try and then have some 245 00:13:00,200 --> 00:13:02,600 Speaker 3: sort of long term funding. 246 00:13:03,360 --> 00:13:05,960 Speaker 2: When we return, will state and federal government step in 247 00:13:06,080 --> 00:13:18,960 Speaker 2: to bridge the funding gaps facing public transit agencies. In 248 00:13:19,000 --> 00:13:21,360 Speaker 2: the past, when I've ended up at the thirtieth Street 249 00:13:21,400 --> 00:13:24,960 Speaker 2: station a track station, it's probably because I took the 250 00:13:25,040 --> 00:13:28,600 Speaker 2: late train back from Washington and I slept through. 251 00:13:28,480 --> 00:13:30,800 Speaker 7: The Delaware stop literally not figured. 252 00:13:30,800 --> 00:13:32,240 Speaker 3: I only did it about four times. 253 00:13:33,080 --> 00:13:37,440 Speaker 2: President Biden, who we know, is a noted train travel enthusiast. 254 00:13:37,520 --> 00:13:39,600 Speaker 2: He talks a lot about taking the train to Wilmington 255 00:13:39,640 --> 00:13:42,520 Speaker 2: when he was a senator. He recently announced new federal 256 00:13:42,520 --> 00:13:46,080 Speaker 2: funding for rail projects makes sense across the country. How 257 00:13:46,160 --> 00:13:47,880 Speaker 2: much money are we talking about here, Skyler. 258 00:13:48,640 --> 00:13:51,760 Speaker 3: President Biden recently announced about eight point two billion for 259 00:13:52,240 --> 00:13:55,760 Speaker 3: rail projects across the country. Now, this is everything from 260 00:13:55,880 --> 00:13:58,760 Speaker 3: trying to kickstart high speed rail from Las Vegas and 261 00:13:58,800 --> 00:14:03,280 Speaker 3: southern California to improving rail operations between Raleigh, North Carolina 262 00:14:03,320 --> 00:14:04,800 Speaker 3: and Regimond, Virginia speed Rail. 263 00:14:04,880 --> 00:14:08,079 Speaker 7: The Biden administration is announcing eight point two billion dollars 264 00:14:08,120 --> 00:14:09,720 Speaker 7: for projects on both coasts. 265 00:14:09,960 --> 00:14:12,960 Speaker 2: Folks. We've been talking about this project for decades. 266 00:14:13,480 --> 00:14:14,760 Speaker 3: Now we're really getting it done. 267 00:14:16,679 --> 00:14:19,480 Speaker 7: Three billion goes to bright Line West, linking the Los 268 00:14:19,520 --> 00:14:22,280 Speaker 7: Angeles area to Las Vegas in about two hours. The 269 00:14:22,320 --> 00:14:25,640 Speaker 7: two hundred and eighteen mile line will run along Interstate fifteen. 270 00:14:26,560 --> 00:14:28,400 Speaker 3: He announced this funding and hopes that, you know, they 271 00:14:28,400 --> 00:14:32,280 Speaker 3: can try and start moving some of these rail projects forward. 272 00:14:32,880 --> 00:14:33,640 Speaker 1: So what a lot of. 273 00:14:33,640 --> 00:14:37,840 Speaker 3: President Biden has been announcing funding for infrastructure projects, and 274 00:14:37,960 --> 00:14:42,160 Speaker 3: that money is going to help finance transit upgrades, repairs 275 00:14:42,320 --> 00:14:45,280 Speaker 3: for signals, tracks, all of those things, because like the 276 00:14:45,320 --> 00:14:47,840 Speaker 3: transit systems and the country, they need a lot of work, 277 00:14:47,880 --> 00:14:50,240 Speaker 3: So a lot of that funding is going towards the 278 00:14:50,240 --> 00:14:53,440 Speaker 3: capital side and not necessarily the operating side. Now, there 279 00:14:53,480 --> 00:14:57,920 Speaker 3: have been some conversations about do we allow agencies to 280 00:14:58,160 --> 00:15:02,640 Speaker 3: pull capital to the operating Recently, the head of the 281 00:15:02,680 --> 00:15:06,320 Speaker 3: Metro system in DC was like, I would love to 282 00:15:06,320 --> 00:15:11,440 Speaker 3: see a conversation where we have the federal government start 283 00:15:11,560 --> 00:15:14,240 Speaker 3: helping out on the operating side and not just for 284 00:15:14,320 --> 00:15:15,880 Speaker 3: those capital infrastructure needs. 285 00:15:17,560 --> 00:15:21,320 Speaker 2: When you look at our transit systems versus how other 286 00:15:21,400 --> 00:15:24,720 Speaker 2: cities have planned theirs out and how they've really maintained them, 287 00:15:24,920 --> 00:15:28,040 Speaker 2: it's pretty striking the differences. Then part of it is 288 00:15:28,320 --> 00:15:30,520 Speaker 2: funding as well. New York City is on the brink 289 00:15:30,560 --> 00:15:34,200 Speaker 2: of implementing the nation's first congestion pricing scheme. We know 290 00:15:34,280 --> 00:15:36,600 Speaker 2: that London, we know that Singapore, we know that other 291 00:15:36,600 --> 00:15:39,280 Speaker 2: cities like Milan have used this. How will this program 292 00:15:39,320 --> 00:15:41,440 Speaker 2: work to fund public transit in the city. What's the 293 00:15:41,440 --> 00:15:42,080 Speaker 2: connection here? 294 00:15:42,680 --> 00:15:45,240 Speaker 3: So this would be a first for a US city, 295 00:15:45,280 --> 00:15:47,560 Speaker 3: which would be a pretty big deal. And New York 296 00:15:47,600 --> 00:15:50,480 Speaker 3: City has been trying to get congestion pricing going for 297 00:15:50,520 --> 00:15:52,920 Speaker 3: decades now. It's just kind of run into a lot 298 00:15:52,920 --> 00:15:57,640 Speaker 3: of political hurdles. But Basically, for drivers entering Manhattan below 299 00:15:58,080 --> 00:16:01,200 Speaker 3: sixtieth Street, you would be charged charge a fee to 300 00:16:01,280 --> 00:16:03,600 Speaker 3: drive around the Central Business District. 301 00:16:04,360 --> 00:16:07,280 Speaker 8: Congestion pricing has been a hot button issue ever since 302 00:16:07,320 --> 00:16:11,280 Speaker 8: it was proposed by the Bloomberg administration years ago. Today, 303 00:16:11,480 --> 00:16:15,920 Speaker 8: an advisory board proposed a fifteen dollars a day fee 304 00:16:15,960 --> 00:16:20,240 Speaker 8: for cars entering below sixtieth Street in Lower Manhattan. Trucks 305 00:16:20,280 --> 00:16:21,840 Speaker 8: would have to pay even more. 306 00:16:22,000 --> 00:16:25,120 Speaker 1: The billions of dollars raised through congestion pricing would go 307 00:16:25,160 --> 00:16:25,880 Speaker 1: to the MTA. 308 00:16:26,640 --> 00:16:28,160 Speaker 3: I think if you've been to New York, you know 309 00:16:28,200 --> 00:16:31,000 Speaker 3: how bad the traffic is. They're trying to reduce the traffic. 310 00:16:31,200 --> 00:16:33,360 Speaker 3: It's supposed to help the environment with less cars from 311 00:16:33,400 --> 00:16:37,040 Speaker 3: the road, and the money from tolling will go directly 312 00:16:37,080 --> 00:16:39,560 Speaker 3: towards the MTA and capital upgrades. 313 00:16:41,080 --> 00:16:43,640 Speaker 2: So Skyler. When it comes to congestion pricing, which of 314 00:16:43,640 --> 00:16:46,520 Speaker 2: course is still controversial, they're plenty people who don't like it. 315 00:16:46,960 --> 00:16:50,240 Speaker 2: What kind of capital projects could the revenue from congestion 316 00:16:50,360 --> 00:16:51,960 Speaker 2: pricing in New York City fund? 317 00:16:52,480 --> 00:16:56,080 Speaker 3: New York City, they're trying to build the Interborrow Express, 318 00:16:56,120 --> 00:16:57,680 Speaker 3: which would be a rail to. 319 00:16:57,480 --> 00:16:58,800 Speaker 1: Connect Queens and Brooklyn. 320 00:16:59,120 --> 00:17:04,000 Speaker 3: So you know, congestion pricing could help finance that project 321 00:17:04,040 --> 00:17:06,440 Speaker 3: and make crossing between the two burrows by. 322 00:17:06,359 --> 00:17:07,520 Speaker 1: Subway a lot easier. 323 00:17:07,720 --> 00:17:10,400 Speaker 3: It could also help finance something as small as making 324 00:17:10,440 --> 00:17:13,120 Speaker 3: sure that tracks are up to date in signals and 325 00:17:13,200 --> 00:17:16,399 Speaker 3: some of the new technologies that trads need nowadays, and 326 00:17:16,400 --> 00:17:17,520 Speaker 3: same for buses as well. 327 00:17:18,600 --> 00:17:21,600 Speaker 2: So it's mainly to address operational issues, exactly the kind 328 00:17:21,600 --> 00:17:23,520 Speaker 2: of stuff that the eight point two billion dollars that 329 00:17:23,600 --> 00:17:25,760 Speaker 2: President Biden announced probably won't. 330 00:17:26,560 --> 00:17:29,000 Speaker 3: So the congestion pricing money you will be used for 331 00:17:29,040 --> 00:17:30,920 Speaker 3: capital infrastructure related projects. 332 00:17:32,000 --> 00:17:35,120 Speaker 2: So New York City, if this congestion pricing scheme goes through, 333 00:17:35,160 --> 00:17:37,920 Speaker 2: would be the first city in the US to implement this. 334 00:17:38,480 --> 00:17:41,400 Speaker 2: Where else in the US is congestion pricing being considered. 335 00:17:42,160 --> 00:17:46,440 Speaker 3: There's been some kind of loose conversations that some cities 336 00:17:47,359 --> 00:17:51,000 Speaker 3: haven't really like locked it in. Chicago kind of hinted 337 00:17:51,000 --> 00:17:54,160 Speaker 3: at it a little bit. Los Angeles has also hinted 338 00:17:54,160 --> 00:17:55,800 Speaker 3: at it a little bit. I mean, Los Angeles we 339 00:17:55,840 --> 00:17:58,639 Speaker 3: all know is like car city, so they're really trying 340 00:17:58,640 --> 00:18:01,000 Speaker 3: to find ways to cut down on their congestion. 341 00:18:02,800 --> 00:18:04,960 Speaker 2: What will you be looking for as you continue to 342 00:18:05,040 --> 00:18:08,040 Speaker 2: report on the state of these public transit agencies across 343 00:18:08,040 --> 00:18:10,640 Speaker 2: the US. What will you be listening for? What will 344 00:18:10,640 --> 00:18:11,479 Speaker 2: you be watching out for? 345 00:18:12,280 --> 00:18:16,680 Speaker 3: I'll be watching out for. What's the conversation like long term? 346 00:18:17,119 --> 00:18:20,719 Speaker 3: I think transit often sees short term solutions and as 347 00:18:20,720 --> 00:18:25,760 Speaker 3: short term patches. So I'm curious what's happening long term here? 348 00:18:26,080 --> 00:18:28,199 Speaker 3: And though you know, there's a lot of conversations to 349 00:18:28,280 --> 00:18:30,840 Speaker 3: how we're going to keep these systems going, it's also 350 00:18:30,960 --> 00:18:33,760 Speaker 3: very short term. Still no one has really found the 351 00:18:33,840 --> 00:18:36,680 Speaker 3: right answer for like what can be done long term? 352 00:18:36,760 --> 00:18:39,400 Speaker 3: And when I say long term, I'm talking let's jump 353 00:18:39,440 --> 00:18:42,280 Speaker 3: forward to twenty fifty. What does transit look like then? 354 00:18:42,320 --> 00:18:44,800 Speaker 3: How is it being financed? Who's paying for it? 355 00:18:45,200 --> 00:18:45,439 Speaker 1: You know? 356 00:18:45,520 --> 00:18:48,639 Speaker 3: So I'm curious, like what do those conversations kind of 357 00:18:48,680 --> 00:18:52,120 Speaker 3: look like? And really will we see something new from 358 00:18:52,200 --> 00:18:55,280 Speaker 3: the federal government in terms of some sort of financing 359 00:18:55,359 --> 00:18:57,240 Speaker 3: to help keep these systems moving forward. 360 00:18:57,280 --> 00:18:59,760 Speaker 1: On the operational side, a lot of. 361 00:18:59,680 --> 00:19:01,680 Speaker 2: These agencies have no choice but to focus on the 362 00:19:01,680 --> 00:19:03,960 Speaker 2: short term because they're fighting it what feels like a 363 00:19:04,080 --> 00:19:08,359 Speaker 2: daily battle. Are fare increases a short term solution? How 364 00:19:08,440 --> 00:19:12,160 Speaker 2: much support do fair increases actually give these transit agencies? 365 00:19:13,040 --> 00:19:16,800 Speaker 3: They do help, But if you still don't have a 366 00:19:16,840 --> 00:19:19,600 Speaker 3: ton of writers and you're raising fares, like, yes, it's 367 00:19:19,640 --> 00:19:21,159 Speaker 3: going to help you, and yes it's going to give 368 00:19:21,240 --> 00:19:22,720 Speaker 3: you some extra cash. 369 00:19:22,680 --> 00:19:25,240 Speaker 1: But they still will really need to see a. 370 00:19:25,280 --> 00:19:28,960 Speaker 3: Huge population of writers come back with those fair hikes 371 00:19:29,119 --> 00:19:32,119 Speaker 3: for there to be like a real difference. But the 372 00:19:32,119 --> 00:19:35,280 Speaker 3: fair hikes, that is something you are hearing that agencies 373 00:19:35,280 --> 00:19:38,200 Speaker 3: are having to do on Metro and DC, they're going 374 00:19:38,240 --> 00:19:41,600 Speaker 3: to have to raise fares. People feel strongly that public 375 00:19:41,600 --> 00:19:44,240 Speaker 3: transit it's a public service and it is something that 376 00:19:44,400 --> 00:19:47,520 Speaker 3: shouldn't cost money to use. To use the public schools 377 00:19:47,520 --> 00:19:49,480 Speaker 3: system for example, Okay, like yes, you do pay taxes 378 00:19:49,520 --> 00:19:52,760 Speaker 3: towards public schools, but in that same way, you could 379 00:19:52,800 --> 00:19:56,160 Speaker 3: be paying those types of taxes towards your transit agency. 380 00:19:56,400 --> 00:19:58,240 Speaker 3: So that way, like you don't have to pay to 381 00:19:58,280 --> 00:20:00,280 Speaker 3: go to your local public school, that you can just 382 00:20:00,520 --> 00:20:03,000 Speaker 3: enrolling go And some people say that, you know, that's 383 00:20:03,040 --> 00:20:04,120 Speaker 3: how it should be for transit. 384 00:20:05,040 --> 00:20:07,160 Speaker 2: Skyler Woodhouse, thank you so much for joining us. 385 00:20:07,320 --> 00:20:07,679 Speaker 1: Thank you. 386 00:20:08,359 --> 00:20:11,600 Speaker 2: Skyler Woodhouse is a reporter at Bloomberg News. She covers, 387 00:20:11,640 --> 00:20:16,080 Speaker 2: among other things, the public transit agencies. Thanks for listening 388 00:20:16,119 --> 00:20:18,119 Speaker 2: to us. Here at The Big Take. It's a daily 389 00:20:18,160 --> 00:20:21,800 Speaker 2: podcast from Bloomberg and iHeartRadio, and for more shows from iHeartRadio, 390 00:20:21,960 --> 00:20:26,080 Speaker 2: visit the iHeartRadio app, Apple Podcasts, Bloomberg CarPlay, or wherever 391 00:20:26,119 --> 00:20:28,479 Speaker 2: you listen. And of course we'd love to hear from you. 392 00:20:28,800 --> 00:20:31,680 Speaker 2: Email us questions or comments to Big Take at Bloomberg 393 00:20:31,720 --> 00:20:35,119 Speaker 2: dot net. This episode was produced by Sam Cabauer, with 394 00:20:35,240 --> 00:20:39,240 Speaker 2: production assistants from Michael Falero, Federica Romaniello, and Moe Barrow. 395 00:20:39,560 --> 00:20:42,920 Speaker 2: Hilda Garcia is our engineer. Our original music was composed 396 00:20:42,920 --> 00:20:46,080 Speaker 2: by Leo Sidrin. I'm Scarlet Fu. We'll be back tomorrow 397 00:20:46,160 --> 00:20:47,080 Speaker 2: with another Big Take