1
00:00:00,160 --> 00:00:02,639
Speaker 1: We know that these new Purple eas scooters and bikes

2
00:00:02,640 --> 00:00:05,120
Speaker 1: have been rolled out across Darwin just five days ago,

3
00:00:05,480 --> 00:00:08,640
Speaker 1: with the new company being taking over the council contract

4
00:00:08,680 --> 00:00:12,159
Speaker 1: from Neuron due to its strong focus on safety. So

5
00:00:12,360 --> 00:00:14,760
Speaker 1: how has it all gone well? Joining me on the

6
00:00:14,760 --> 00:00:18,279
Speaker 1: line right now is the operations manager Andrew Dodd. Good

7
00:00:18,280 --> 00:00:18,880
Speaker 1: morning to you.

8
00:00:18,960 --> 00:00:21,720
Speaker 2: Andrew, Good morning Katie, Thanks for having me on.

9
00:00:22,040 --> 00:00:25,240
Speaker 1: Great to speak with you. Now. How have things been going?

10
00:00:25,239 --> 00:00:27,800
Speaker 1: Have there been any incidents or crashes or anything that

11
00:00:27,840 --> 00:00:28,560
Speaker 1: you've been made.

12
00:00:28,440 --> 00:00:31,840
Speaker 2: Aware of, Katy. We haven't been made aware of any

13
00:00:32,000 --> 00:00:34,240
Speaker 2: incidance as of yepore. We understand that this is something

14
00:00:34,240 --> 00:00:36,080
Speaker 2: you have to continue working on and as soon as

15
00:00:36,080 --> 00:00:38,360
Speaker 2: we seen since coming, we'll work to correct them and

16
00:00:38,360 --> 00:00:39,760
Speaker 2: make things safer across the city.

17
00:00:40,040 --> 00:00:43,760
Speaker 1: So from your perspective, over the first few days of operations,

18
00:00:43,800 --> 00:00:45,960
Speaker 1: how has it all gone?

19
00:00:46,240 --> 00:00:48,920
Speaker 2: Yeah, it's gone very well. We're originally slated to begin

20
00:00:49,000 --> 00:00:52,760
Speaker 2: operations on Friday, when the previous operator pleased operations a

21
00:00:52,760 --> 00:00:54,720
Speaker 2: couple of days earlier. We started getting vehicles out on

22
00:00:54,760 --> 00:00:57,840
Speaker 2: the street from Wednesday. Since launching, we've seen three thousand

23
00:00:57,880 --> 00:01:00,000
Speaker 2: trips been taken by over one thousand two hundred year.

24
00:01:00,800 --> 00:01:05,240
Speaker 1: Wow, so three thousand trips already and one two hundred

25
00:01:05,360 --> 00:01:06,000
Speaker 1: users did you.

26
00:01:05,959 --> 00:01:07,800
Speaker 2: Say, Yeah, that's correct.

27
00:01:08,240 --> 00:01:10,759
Speaker 1: And how far have they gone? You know, like are

28
00:01:10,760 --> 00:01:13,360
Speaker 1: they are they riding right around the city? Where are

29
00:01:13,400 --> 00:01:13,840
Speaker 1: they off to?

30
00:01:15,040 --> 00:01:18,320
Speaker 2: Yeah, it's five hundred lumbers in total. They're clocked up.

31
00:01:18,400 --> 00:01:21,200
Speaker 2: We've really seen some strong trips between cul and Bay,

32
00:01:21,280 --> 00:01:23,560
Speaker 2: the city and down to the waterfront and then also

33
00:01:23,800 --> 00:01:25,959
Speaker 2: linking into the northern suburbs as well, coming down to

34
00:01:26,000 --> 00:01:26,399
Speaker 2: the CVD.

35
00:01:27,080 --> 00:01:29,880
Speaker 1: And what different safeguards have you guys got in place

36
00:01:30,000 --> 00:01:32,880
Speaker 1: relating to you know, to the scooters to stop people

37
00:01:32,880 --> 00:01:35,920
Speaker 1: from drink riding and how did that go on the weekends.

38
00:01:36,959 --> 00:01:39,720
Speaker 2: Yeah, this is something we've really seen as key to

39
00:01:40,160 --> 00:01:43,360
Speaker 2: east scooters in cities moving forward. What we've got is

40
00:01:43,400 --> 00:01:46,120
Speaker 2: a cognitive drink writing to terrence test called write check

41
00:01:46,560 --> 00:01:49,760
Speaker 2: and it's a targeted solution to trying to deter drunk riding.

42
00:01:50,200 --> 00:01:52,400
Speaker 2: We've turned it on around Mitchell Street in the hours

43
00:01:52,440 --> 00:01:53,920
Speaker 2: between midnight and five am.

44
00:01:54,600 --> 00:01:56,280
Speaker 1: And do you know how many people have had a

45
00:01:56,320 --> 00:01:58,960
Speaker 1: crack at the test and maybe failed? He said, info

46
00:01:59,080 --> 00:02:00,440
Speaker 1: that you've got not really?

47
00:02:01,360 --> 00:02:03,960
Speaker 2: Yeah, it absolutely is, Katie. We've seen sixty three people

48
00:02:04,080 --> 00:02:06,960
Speaker 2: take it over Friday night and Saturday night, and of them,

49
00:02:07,000 --> 00:02:09,840
Speaker 2: twenty three work bard from using our scooters for six hours.

50
00:02:10,919 --> 00:02:14,079
Speaker 1: How good that you're actually able to do that, and

51
00:02:15,160 --> 00:02:17,760
Speaker 1: you know it does mean that people avoid getting into crashes.

52
00:02:18,840 --> 00:02:21,720
Speaker 2: Yeah, yeah, that's the game. Obviously, it's all targeted. We

53
00:02:21,760 --> 00:02:24,840
Speaker 2: want to set the baseline whereas possible. It's a trial.

54
00:02:24,840 --> 00:02:27,000
Speaker 2: At the moment, We're very happy with how it's been working, but.

55
00:02:27,080 --> 00:02:29,360
Speaker 1: So realistically, by the sounds of that, a third of

56
00:02:29,400 --> 00:02:30,880
Speaker 1: people fail to the test.

57
00:02:32,480 --> 00:02:34,799
Speaker 2: A third of people are on the roads between midnight

58
00:02:34,840 --> 00:02:37,080
Speaker 2: and five amk It's a very select group of people.

59
00:02:37,440 --> 00:02:39,080
Speaker 2: But we want to make sure that if you are

60
00:02:39,160 --> 00:02:40,880
Speaker 2: out doing the right thing at that time, you're still

61
00:02:40,880 --> 00:02:42,320
Speaker 2: able to get on scootering use it.

62
00:02:42,560 --> 00:02:45,040
Speaker 1: Yeah, no, very fair. Cal tell me. I know that

63
00:02:45,080 --> 00:02:48,000
Speaker 1: you've got ambassadors out there on the streets ensuring that

64
00:02:48,040 --> 00:02:50,880
Speaker 1: people are riding and parking safely. How has that been going.

65
00:02:51,880 --> 00:02:54,480
Speaker 2: Yeah, yeah, it's been going very well. We've got a

66
00:02:54,600 --> 00:02:57,360
Speaker 2: very strong local team that we've recruited over the past

67
00:02:57,400 --> 00:03:00,359
Speaker 2: couple of weeks. We've got six local go at the

68
00:03:00,400 --> 00:03:02,880
Speaker 2: moment working for us. Guys and girls at any one

69
00:03:02,919 --> 00:03:04,959
Speaker 2: time there's at least one ambassador out on the road.

70
00:03:05,680 --> 00:03:08,040
Speaker 1: Well, it sounds as though things have gone pretty well.

71
00:03:08,400 --> 00:03:10,400
Speaker 1: I know you've been operating for five days, But that

72
00:03:10,520 --> 00:03:13,240
Speaker 1: first weekend, I guess is always the interesting time, because

73
00:03:13,280 --> 00:03:16,280
Speaker 1: you would have thought that it's the busiest time. Is

74
00:03:16,320 --> 00:03:19,639
Speaker 1: there ability for penalties for people doing the wrong thing?

75
00:03:19,680 --> 00:03:21,000
Speaker 1: Are you guys able to do that?

76
00:03:22,480 --> 00:03:25,040
Speaker 2: Yeah? Absolutely. We have an internal program put a three

77
00:03:25,080 --> 00:03:28,280
Speaker 2: strikes policy when whenever something's notified to us by the

78
00:03:28,320 --> 00:03:31,440
Speaker 2: police or one of our safety ambassadors is something going wrong,

79
00:03:31,720 --> 00:03:33,800
Speaker 2: they can identify the writer and we put a strike

80
00:03:33,800 --> 00:03:36,280
Speaker 2: against them, an emailing of them telling them what they're

81
00:03:36,280 --> 00:03:38,560
Speaker 2: doing wrong. Quite often it's the case of they're not

82
00:03:38,640 --> 00:03:40,880
Speaker 2: doing that, they're not knowing they're doing the wrong thing.

83
00:03:41,040 --> 00:03:44,400
Speaker 2: But obviously in other cases it's very obvious. So we

84
00:03:44,520 --> 00:03:47,120
Speaker 2: never want to ban people initially, but if education is

85
00:03:47,120 --> 00:03:48,560
Speaker 2: at work and that is the place we get to

86
00:03:48,560 --> 00:03:48,960
Speaker 2: in the end.

87
00:03:49,400 --> 00:03:51,000
Speaker 1: And so I guess it's just a matter of trying

88
00:03:51,000 --> 00:03:52,840
Speaker 1: to keep people as safe as possible.

89
00:03:54,000 --> 00:03:56,080
Speaker 2: Yeah, that's it's best for everyone than Katie.

90
00:03:56,520 --> 00:03:58,840
Speaker 1: Yeah, well, Andrew, is there anything else we should be

91
00:03:58,880 --> 00:04:00,400
Speaker 1: aware of before I let you go? I mean, like

92
00:04:00,440 --> 00:04:02,520
Speaker 1: I said, it sounds like things have gone pretty smoothly

93
00:04:02,680 --> 00:04:05,000
Speaker 1: over the weekend. I'm really fascinated. I like the fact

94
00:04:05,000 --> 00:04:07,600
Speaker 1: that you've got all those those numbers and you know

95
00:04:07,680 --> 00:04:09,920
Speaker 1: that you're able to actually even tell us how many

96
00:04:09,920 --> 00:04:11,920
Speaker 1: people have failed the test. I think that it is

97
00:04:12,240 --> 00:04:14,800
Speaker 1: it's really interesting data for people to be made aware of.

98
00:04:16,120 --> 00:04:18,599
Speaker 2: Yeah, thanks for I guess my key messages. We've got

99
00:04:18,680 --> 00:04:21,120
Speaker 2: scooters and cidity suits and on the streets. We're there

100
00:04:21,160 --> 00:04:23,240
Speaker 2: pouring more bikes over the next couple of days, so

101
00:04:23,760 --> 00:04:25,480
Speaker 2: if you're looking to ride up into the northern suburbs,

102
00:04:25,480 --> 00:04:26,440
Speaker 2: there'll be plenty more options.

103
00:04:26,480 --> 00:04:30,080
Speaker 1: The next good stuff. Well, Andrew Dodd, it is good

104
00:04:30,080 --> 00:04:32,440
Speaker 1: to speak with you this morning. I really appreciate your time.

105
00:04:33,320 --> 00:04:34,760
Speaker 1: Thanks Katy, thank you,