1 00:00:00,627 --> 00:00:03,210 (gentle music) 2 00:00:09,960 --> 00:00:10,793 - [Narrator] Traditionally, 3 00:00:10,793 --> 00:00:13,740 regulatory agencies have approached our mobility needs 4 00:00:13,740 --> 00:00:15,630 as an engineering problem. 5 00:00:15,630 --> 00:00:18,330 Today, a diversity of transportation options 6 00:00:18,330 --> 00:00:20,700 and changing preferences for where folks want 7 00:00:20,700 --> 00:00:24,000 to live require a more personal approach. 8 00:00:24,000 --> 00:00:26,610 The Texas Department of Transportation with help 9 00:00:26,610 --> 00:00:27,443 from the Center 10 00:00:27,443 --> 00:00:30,000 for Transportation Research is working proactively 11 00:00:30,000 --> 00:00:31,890 to determine what travelers need 12 00:00:31,890 --> 00:00:34,740 from their future transportation system. 13 00:00:34,740 --> 00:00:36,930 - The thing is, we know change is coming 14 00:00:36,930 --> 00:00:39,480 and that's gonna impact the way we travel. 15 00:00:39,480 --> 00:00:41,880 And so being able to account for this, getting insight 16 00:00:41,880 --> 00:00:44,430 into people's behaviors and these types of situations 17 00:00:44,430 --> 00:00:49,430 that are arising are gonna let us better meet their needs 18 00:00:49,500 --> 00:00:50,520 in the future. 19 00:00:50,520 --> 00:00:55,440 - What we are trying to do is, can we learn something today 20 00:00:55,440 --> 00:00:59,940 from preferences so that we can plan for tomorrow? 21 00:00:59,940 --> 00:01:02,010 We cannot obviously wait for tomorrow 22 00:01:02,010 --> 00:01:03,720 until tomorrow comes because we need 23 00:01:03,720 --> 00:01:05,250 to start planning today. 24 00:01:05,250 --> 00:01:08,370 And so the issue is how can we accomplish that? 25 00:01:08,370 --> 00:01:10,710 - This study began as a way to look 26 00:01:10,710 --> 00:01:12,870 into using stated preference questions 27 00:01:12,870 --> 00:01:14,670 in our travel surveys. 28 00:01:14,670 --> 00:01:18,900 So currently, we use the travel survey and the responses 29 00:01:18,900 --> 00:01:22,200 to those questions to develop our travel demand model. 30 00:01:22,200 --> 00:01:23,580 The questions that we use 31 00:01:23,580 --> 00:01:25,170 to develop the travel demand model are 32 00:01:25,170 --> 00:01:27,150 all revealed preference questions. 33 00:01:27,150 --> 00:01:29,520 So they ask about what someone's actually done. 34 00:01:29,520 --> 00:01:31,500 They ask about what trips they've made, 35 00:01:31,500 --> 00:01:34,830 what roads they've taken, the transportation mode used. 36 00:01:34,830 --> 00:01:36,570 Unlike revealed preference questions, 37 00:01:36,570 --> 00:01:39,420 stated preference questions help us get insights 38 00:01:39,420 --> 00:01:41,553 into situations that don't yet exist. 39 00:01:42,510 --> 00:01:45,720 So for example, after the height of the COVID pandemic 40 00:01:45,720 --> 00:01:49,080 and working from home, we're in a period of transition. 41 00:01:49,080 --> 00:01:51,690 Companies are rethinking telecommuting policies, 42 00:01:51,690 --> 00:01:55,473 and as they begin to change, we can't just use past behavior 43 00:01:55,473 --> 00:01:58,503 or revealed preferences to predict future behavior. 44 00:01:59,430 --> 00:02:02,343 Instead, we may turn to stated preference questions. 45 00:02:03,270 --> 00:02:05,550 Specifically, this research project seeks 46 00:02:05,550 --> 00:02:08,760 to use questions about people's workplace preferences 47 00:02:08,760 --> 00:02:12,150 to gain insights and plan for future commuting patterns. 48 00:02:12,150 --> 00:02:15,630 We found single women with young children, 49 00:02:15,630 --> 00:02:17,610 people with long commutes, 50 00:02:17,610 --> 00:02:20,340 those who have private study areas in their homes, 51 00:02:20,340 --> 00:02:23,550 self-employed, non-essential service workers, 52 00:02:23,550 --> 00:02:27,870 they all preferred to work from home. 53 00:02:27,870 --> 00:02:30,123 On the other hand, older men, 54 00:02:30,123 --> 00:02:33,060 people from lower income houses, 55 00:02:33,060 --> 00:02:35,010 people living in rural areas, 56 00:02:35,010 --> 00:02:37,410 and those in essential occupations prefer 57 00:02:37,410 --> 00:02:39,480 to work from the office. 58 00:02:39,480 --> 00:02:43,890 And then non-single women with young children, 59 00:02:43,890 --> 00:02:46,740 low income households, part-time employees, 60 00:02:46,740 --> 00:02:48,390 and professional managerial 61 00:02:48,390 --> 00:02:52,260 or finance occupations have the highest predisposition 62 00:02:52,260 --> 00:02:54,120 for working from a third workplace. 63 00:02:54,120 --> 00:02:58,140 - In the past 20 years or so, planning has gone 64 00:02:58,140 --> 00:03:01,080 into a more proactive role as opposed to a reactive. 65 00:03:01,080 --> 00:03:03,060 But I think the difference today is 66 00:03:03,060 --> 00:03:04,590 that many of these things 67 00:03:04,590 --> 00:03:08,280 that we see today are not going to go into tomorrow. 68 00:03:08,280 --> 00:03:10,200 We cannot wait to plan. 69 00:03:10,200 --> 00:03:11,820 That has to start today, 70 00:03:11,820 --> 00:03:15,030 and that's what our project helps with. 71 00:03:15,030 --> 00:03:16,260 - [Narrator] For more information 72 00:03:16,260 --> 00:03:18,660 and to find the publication for this project, 73 00:03:18,660 --> 00:03:20,970 please visit the TxDOT research library 74 00:03:20,970 --> 00:03:22,170 at the link shown below.