An Evaluation of the Impact of Leading Pedestrian Interval Signals in NYC¶

Jeremy J. Sze¶

Hunter College, The City University of New York

https://jeremysze.github.io

Categories	2012	2013	2014	2015	2016	2017	2018
A. Collision/Injuries outcomes at Intersections
Collisions	47,611	95,437	94,644	97,792	68,511	78,764	58,942
Injuries of:
Persons	13,336	26,640	24,466	23,160	18,611	22,666	17,513
Pedestrians	3,725	7,555	6,859	6,095	4,821	5,781	3,942
Cyclist	1,355	2,569	2,598	2,597	1,978	2,339	1,766
Motorist	8,250	16,516	15,008	14,468	11,911	14,967	11,706
B. Collision/Injuries counts at Intersections Stratified by LPIs
LPIs Ever == 1	13,068	26,101	25,963	27,244	18,588	20,173	15,034
LPIs Ever == 0	34,543	69,336	68,681	70,548	49,923	58,591	43,908
C. Collision/Injuries averages at Intersections Stratified by LPIs
LPIs Ever == 1	2.43	2.43	2.41	2.53	1.73	1.88	1.86
LPIs Ever == 0	1.68	1.68	1.67	1.71	1.21	1.42	1.42

	2012	2013	2014	2015	2016	2017	2018
Coordinates Filled	85,452	171,917	172,730	182,958	162,745	214,935	157,185
(%)	-84.99	-84.39	-83.84	-84.05	-71.44	-93.75	-94.87
Coordinates missing	15,087	31,806	33,296	34,729	65,077	14,327	8,508
(%)	-15.01	-15.61	-16.16	-15.95	-28.56	-6.25	-5.13
Total	0	13	60	408	713	825	670

	2012	2013	2014	2015	2016	2017	2018
Coordinates Filled	85,452	171,917	172,730	182,958	162,745	214,935	157,185
(%)	-84.99	-84.39	-83.84	-84.05	-71.44	-93.75	-94.87
Coordinates missing	15,087	31,806	33,296	34,729	65,077	14,327	8,508
(%)	-15.01	-15.61	-16.16	-15.95	-28.56	-6.25	-5.13
Total	0	13	60	408	713	825	670

	LPIs intersections	Control intersections
No. of intersections in New York City	2,689	10,298
School (intersections within 200 feet of school)	201	475
	-7.47%	-4.61%
Seniors (intersections within safe senior zone)	859	1,717
	-31.94%	-16.67%
Priority Intersection (intersections within 10 ft of signal intersection)	110	109
	-4.09%	-1.06%

	1	2	3	4	5	6
VARIABLES	Poisson	OLS	Poisson Late night	OLS Late night	Poisson Non- Late night	OLS Non- Late night
Flag LPIs	0.258***	0.447***	0.309***	0.0568***	0.252***	0.390***
	-0.0253	-0.047	-0.0383	-0.00769	-0.025	-0.0415
Bike route	0.239***	0.421***	0.362***	0.0644***	0.226***	0.357***
	-0.0219	-0.0412	-0.0301	-0.00594	-0.0216	-0.0363
Street Improvement	0.334***	0.707***	0.357***	0.0772***	0.332***	0.630***
	-0.0737	-0.182	-0.089	-0.0224	-0.0738	-0.164
Left Turn	0.519***	1.186***	0.449***	0.106***	0.527***	1.080***
	-0.0608	-0.176	-0.11	-0.0327	-0.0587	-0.152

Observations	324,675	324,675	324,675	324,675	324,675	324,675

	1	2	3	4	5	6
VARIABLES	Fixed effects poisson	Fixed effects regression	Fixed effects poisson Late night	Fixed effects regression Late night	Fixed effects poisson Non-Late night	Fixed effects regression Non-Late night
Flag LPIs	-0.0545***	-0.162***	-0.00245	-0.00039	-0.0604***	-0.161***
	-0.0128	-0.0305	-0.0255	-0.00628	-0.013	-0.0279
Bike route	0.0233	0.0521	0.0421	0.0101	0.0217	0.0434
	-0.0189	-0.0379	-0.04	-0.00865	-0.0189	-0.0345
Street Improvement	-0.0157	-0.209	-0.0133	-0.016	-0.0172	-0.195
	-0.0449	-0.148	-0.0661	-0.0234	-0.0458	-0.135
Left Turn	-0.140***	-0.806***	-0.133*	-0.0683**	-0.139***	-0.742***
	-0.0369	-0.174	-0.0741	-0.0274	-0.0384	-0.162

Observations	283,550	283,550	242,725	242,725	283,200	283,200
Number of intersection_id	11,342	11,342	9,709	9,709	11,328	11,328
Number of intersection_id	11,342	11,342	9,709	9,709	11,328	11,328

	1	2	3	4	5	6
VARIABLES	Fixed effects poisson	Fixed effects regression	Fixed effects poisson Late night	Fixed effects regression Late night	Fixed effects poisson Non-Late night	Fixed effects regression Non-Late night
Flag LPIs	-0.0993***	-0.0692***	-0.111**	-0.0145**	-0.0980***	-0.0603***
	-0.0213	-0.0134	-0.054	-0.00722	-0.0221	-0.0122
Bike route	0.0169	0.01	-0.00445	-0.000199	0.0193	0.0103
	-0.0307	-0.0166	-0.0789	-0.00986	-0.0316	-0.015
Street Improvement	-0.0272	-0.041	-0.106	-0.0187	-0.0167	-0.0287
	-0.0545	-0.0434	-0.17	-0.028	-0.0557	-0.0388
Left Turn	-0.200***	-0.217***	-0.25	-0.0483*	-0.193***	-0.185***
	-0.066	-0.0623	-0.156	-0.0272	-0.0675	-0.0552

Observations	273,875	273,875	146,725	146,725	272,000	272,000
Number of intersection_id	10,955	10,955	5,869	5,869	10,880	10,880
Number of intersection_id	11,342	11,342	9,709	9,709	11,328	11,328

	1	2	3	4	5	6
VARIABLES	Fixed effects poisson	Fixed effects regression	Fixed effects poisson Late night	Fixed effects regression Late night	Fixed effects poisson Non-Late night	Fixed effects regression Non-Late night
Flag LPIs	-0.147***	-0.0337***	-0.0895	-0.00493	-0.153***	-0.0329***
	-0.0289	-0.00569	-0.088	-0.00529	-0.0303	-0.00547
Bike route	-0.0789*	-0.0129*	-0.0592	-0.00251	-0.0799*	-0.0123*
	-0.0419	-0.00749	-0.131	-0.00773	-0.0445	-0.00741
Street Improvement	-0.0391	-0.0208	-0.125	-0.00877	-0.0312	-0.0168
	-0.0744	-0.0194	-0.236	-0.0159	-0.0849	-0.02
Left Turn	-0.302***	-0.147***	-0.199	-0.0198	-0.311***	-0.136***
	-0.0718	-0.0264	-0.204	-0.0148	-0.0804	-0.0259

Observations	223,100	223,100	58,475	58,475	218,675	218,675
Number of intersection_id	8,924	8,924	2,339	2,339	8,747	8,747
Number of intersection_id	11,342	11,342	9,709	9,709	11,328	11,328

	1	2	3	4	5	6
VARIABLES	Fixed effects poisson	Fixed effects regression	Fixed effects poisson Late night	Fixed effects regression Late night	Fixed effects poisson Non-Late night	Fixed effects regression Non-Late night
Flag LPIs	-0.0272	-0.00275	0.0632	0.00269	-0.0376	-0.00357
	-0.0418	-0.00431	-0.13	-0.00617	-0.0437	-0.00423
Bike route	0.172***	0.0157***	0.0532	0.00229	0.184***	0.0161***
	-0.0643	-0.00585	-0.204	-0.00951	-0.0677	-0.00584
Street Improvement	0.0935	0.00912	0.252	0.0121	0.0788	0.00728
	-0.116	-0.0125	-0.33	-0.0163	-0.124	-0.0125
Left Turn	-0.206*	-0.0309*	-0.291	-0.0155	-0.199	-0.0272*
	-0.122	-0.0158	-0.339	-0.0186	-0.133	-0.0158

Observations	158,275	158,275	27,575	27,575	152,775	152,775
Number of intersection_id	6,331	6,331	1,103	1,103	6,111	6,111
Number of intersection_id	11,342	11,342	9,709	9,709	11,328	11,328

	1	2	3	4	5	6
VARIABLES	Fixed effects poisson	Fixed effects regression	Fixed effects poisson Late night	Fixed effects regression Late night	Fixed effects poisson Non-Late night	Fixed effects regression Non-Late night
Flag LPIs	-0.0856***	-0.0362***	-0.129*	-0.0163*	-0.0778**	-0.0284***
	-0.029	-0.0119	-0.0676	-0.0084	-0.0311	-0.0109
Bike route	0.0359	0.013	0.00446	0.000949	0.0399	0.0127
	-0.0419	-0.0149	-0.0974	-0.0118	-0.044	-0.0136
Street Improvement	-0.0357	-0.0271	-0.12	-0.0172	-0.0216	-0.0171
	-0.0751	-0.0389	-0.219	-0.0322	-0.0758	-0.0337
Left Turn	-0.0792	-0.0408	-0.216	-0.0319	-0.0525	-0.0236
	-0.103	-0.0518	-0.217	-0.03	-0.107	-0.0461

Observations	254,400	254,400	113,775	113,775	248,025	248,025
Number of intersection_id	10,176	10,176	4,551	4,551	9,921	9,921
Number of intersection_id	11,342	11,342	9,709	9,709	11,328	11,328

	1	2	3	4	5
VARIABLES	Number of Collisions	Number of Person injured	Number of Pedestrians injured	Number of Cyclists injured	Number of Motorist Injured
Flag LPIs	-0.106***	-0.0643***	-0.0389***	-0.0166***	-0.00897
	-0.0377	-0.0176	-0.00894	-0.00569	-0.0137
W.outcome	0.188***	0.0171**	0.00064	0.0320***	0.0134*
	-0.00628	-0.00709	-0.00714	-0.00705	-0.00713
Impact
Direct	-0.106***	-0.064***	-0.039***	-0.017***	-0.009
	0.038	0.018	0.009	0.006	0.014
Indirect	-0.022***	-0.001**	0	-0.001**	0
	0.008	0.001	0	0	0
Total	-0.128***	-0.065***	-0.039***	-0.017***	-0.009
	0.046	0.018	0.009	0.006	0.014
Observations	68,400	68,400	68,400	68,400	68,400
Number of intersection_id	2,736	2,736	2,736	2,736	2,736

	1	2	3	4	5
VARIABLES	Number of Collisions	Number of Person injured	Number of Pedestrians injured	Number of Cyclists injured	Number of Motorist Injured
Flag LPIs	-0.129***	-0.0644***	-0.0389***	-0.0168***	-0.00893
	-0.0387	-0.0176	-0.00894	-0.00572	-0.0138
e.outcome	0.188***	0.0150**	-0.00143	0.0319***	0.0129*
	-0.00639	-0.00713	-0.00718	-0.00707	-0.00714
Observations	68,400	68,400	68,400	68,400	68,400
Number of intersection_id	2,736	2,736	2,736	2,736	2,736

	1	2	3	4	5
VARIABLES	Number of Collisions	Number of Person injured	Number of Pedestrians injured	Number of Cyclists injured	Number of Motorist Injured
1.flag_LPIS	-0.089	-0.0644***	-0.0389***	-0.0166**	-0.00906
	-0.0679	-0.0208	-0.0109	-0.00662	-0.0153
bike_route_tv	0.177**	0.0265	-0.011	0.00352	0.0361*
	-0.088	-0.025	-0.0128	-0.00735	-0.0189
flag_street_improv	-0.453	-0.0712	-0.0457	0.00515	-0.0297
	-0.301	-0.0638	-0.0301	-0.0198	-0.0461
flag_left_turn	-0.999***	-0.291***	-0.168***	-0.0284	-0.0966
	-0.328	-0.0924	-0.0494	-0.025	-0.0604
Observations	68400	68400	68400	68400	68400
R-squared	0.089	0.016	0.015	0.01	0.006
Number of _ID	2736	2736	2736	2736	2736

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An Evaluation of the Impact of Leading Pedestrian Interval Signals in NYCJeremy J. SzeHunter College, The City University of New York Jeremy.Sze@outlook.com https://jeremysze.github.io