Assessing the pedestrian response to urban outdoor lighting: A full-scale laboratory study

This study identifies and applies methods for evaluating the human response to pedestrian lighting applications intended for future use by the municipality of Malmö, Sweden. The methods employed provide a supplementary perspective to that given by the photometric properties of the lighting applications. The study involved 89 participants from two age groups (Young: N: 43, 19–31 yrs.; Elderly: N: 46, 62–77 yrs.). Data were collected in a full-scale laboratory using a mock-up pedestrian pathway. Three lighting applications (one ceramic metal halide and two LED) were presented and the participants’ behavior (walking speed), perception (ability to perform visual tasks–recognize facial expressions, detect obstacles, read street signpost), affective response, and evaluation of the lighting quality were assessed. The three lighting applications significantly differed with regard to the human response. The facial expression recognition distance, sign reading distance and the obstacle detection task, along with the evaluation of lighting quality and level of arousal, distinguished one of the LEDs (Correlated Color Temperature: 3810, Color Rendering Index: 75, Scotopic/Photopic ratio: 1.48) from the other two lighting applications–the participants performed better on the visual tasks, and the lighting was perceived as brighter, more arousing and less pleasant. Methods to capture human perception, evaluation and behavior in relation to outdoor lighting, provide a valuable perspective that should be systematically applied when municipalities consider different pedestrian lighting applications.

[1]  Peter Boyce,et al.  Perceptions of safety at night in different lighting conditions , 2000 .

[2]  Luuk Franssen,et al.  Disability Glare in the Aging Eye. Assessment and Impact on Driving , 2009 .

[3]  Steve Fotios,et al.  Correspondence: Lighting for pedestrians: Is facial recognition what matters? , 2011 .

[4]  Cheryl Farr,et al.  The Effects of Lighting on Consumers’ Emotions and Behavioral Intentions in a Retail Environment: A Cross–Cultural Comparison , 2007 .

[5]  Naoya Hara,et al.  Using eye-tracking to identify pedestrians’ critical visual tasks, Part 1. Dual task approach , 2015 .

[6]  Marjukka Puolakka,et al.  Pedestrian way lighting: user preferences and eyefixation measurements , 2013 .

[7]  S. Fotios,et al.  Exploring the nature of visual fixations on other pedestrians , 2018 .

[8]  Basia Belza,et al.  Outdoor built environment barriers and facilitators to activity among midlife and older adults with mobility disabilities. , 2013, The Gerontologist.

[9]  Guizhen Yu,et al.  Specification and calibration of a microscopic model for pedestrian dynamic simulation at signalized intersections: A hybrid approach , 2017 .

[10]  I. Schneider,et al.  Perception of environmental obstacles to commuting physical activity in Brazilian elderly. , 2011, Preventive medicine.

[11]  Steve Fotios,et al.  Using obstacle detection to identify appropriate illuminances for lighting in residential roads , 2013 .

[12]  Anne Vernez Moudon,et al.  Neighbourhood design and physical activity , 2008 .

[13]  Steve Fotios,et al.  Effects of outdoor lighting on judgements of emotion and gaze direction , 2015 .

[14]  J. F. Caminada.  New lighting considerations for residential areas , 1980 .

[15]  Maria Johansson,et al.  Perceived outdoor lighting quality POLQ. A lighting assessment tool , 2014 .

[16]  J Uttley,et al.  Using eye-tracking to identify pedestrians’ critical visual tasks. Part 2. Fixation on pedestrians , 2015 .

[17]  E. d’Orsi,et al.  Safety from Crime and Physical Activity among Older Adults: A Population-Based Study in Brazil , 2012, Journal of Environmental and Public Health.

[18]  P. Ekman.  Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life , 2003 .

[19]  Reid Ewing,et al.  Travel and the Built Environment , 2010 .

[20]  Henrikas Vaitkevicius,et al.  Subjective evaluation of luminance distribution for intelligent outdoor lighting , 2014 .

[21]  Maria Johansson,et al.  Dynamic pedestrian lighting: Effects on walking speed, legibility and environmental perception , 2018 .

[22]  Sungjin Park,et al.  Meso- or micro-scale? Environmental factors influencing pedestrian satisfaction , 2014 .

[23]  Maria Johansson,et al.  Perceived urban design qualities and affective experiences of walking , 2016 .

[24]  Maria Johansson,et al.  Appraising the intention of other people: Ecological validity and procedures for investigating effects of lighting for pedestrians , 2019 .

[25]  J. Vest,et al.  Environmental, Policy, and Cultural Factors Related to Physical Activity in a Diverse Sample of Women: The Women's Cardiovascular Health Network Project–Introduction and Methodology , 2002, Women & health.

[26]  Rikard Küller,et al.  The subterranean work environment. Impact on well-being and health , 1996 .

[27]  Yaojie Sun,et al.  Research on Facial Recognition and Color Identification under CMH and HPS Lamps for Road Lighting , 2009 .

[28]  MS Rea,et al.  Several views of metal halide and high-pressure sodium lighting for outdoor applications , 2009 .

[29]  Maria Johansson,et al.  Individual factors influencing the assessment of the outdoor lighting of an urban footpath , 2011 .

[30]  Thorbjörn Laike,et al.  Residents’ perceptions following retrofitting of residential area outdoor lighting with LEDs , 2013 .

[31]  J Uttley,et al.  Effect of illuminance and spectrum on peripheral obstacle detection by pedestrians , 2017 .

[32]  Yaojie Sun,et al.  Eye movement and pupil size constriction under discomfort glare. , 2015, Investigative ophthalmology & visual science.

[33]  Michico Iwata,et al.  Experiment to Evaluate Visibility with Street Luminaires with Different Upward Light Output Ratios and the Use of Calculated Veiling Luminance to Determine Contrast Performance , 2011 .

[34]  Lighting and recognition of emotion conveyed by facial expressions , 2015 .

[35]  Tom Baranowski,et al.  Observed environmental features and the physical activity of adolescent males. , 2005, American journal of preventive medicine.

[36]  Peter Raynham,et al.  What do pedestrians look at at night? , 2012 .

[37]  Keechoo Choi,et al.  To Walk or Not to Walk: Testing the Effect of Path Walkability on Transit Users' Access Mode Choices to the Station , 2015 .

[38]  J Uttley,et al.  Observing other pedestrians: Investigating the typical distance and duration of fixation , 2015 .

[39]  C. Mandil.  Light's labour's lost : policies for energy-efficient lighting , 2006 .

[40]  J. Vanrie,et al.  As real as it gets: What role does lighting have on consumer's perception of atmosphere, emotions and behaviour? , 2014 .

[41]  Kazunori Hanyu,et al.  VISUAL PROPERTIES AND AFFECTIVE APPRAISALS IN RESIDENTIAL AREAS AFTER DARK , 1997 .

[42]  R. Küller,et al.  Melatonin, cortisol, EEG, ECG and subjective comfort in healthy humans: Impact of two fluorescent lamp types at two light intensities , 1993 .

[43]  Steve Fotios,et al.  Obstacle detection: A pilot study investigating the effects of lamp type, illuminance and age , 2009 .

[44]  S. Fotios,et al.  Investigating the chromatic contribution to recognition of facial expression , 2017 .

[45]  J Uttley,et al.  Illuminance required to detect a pavement obstacle of critical size , 2018 .

[46]  S. Fotios,et al.  Investigating methods for measuring face recognition under lamps of different spectral power distribution , 2015 .

[47]  S. Fotios,et al.  The influence of luminance, observation duration and procedure on the recognition of pedestrians’ faces , 2015 .

[48]  Toshihiko Tanaka,et al.  Psychological Evaluation of Outdoor Pedestrian Lighting Based on Rendered Images by Computer Graphics. , 1992 .

[49]  Hideki Nakamura,et al.  A Modified Social Force Model for Pedestrian Behavior Simulation at Signalized Crosswalks , 2014 .

[50]  Cynthia Owsley,et al.  Aging and dark adaptation , 1999, Vision Research.

[51]  G. A. Mendelsohn,et al.  Affect grid : A single-item scale of pleasure and arousal , 1989 .

[52]  Jae Seung Lee,et al.  Perception-Based Walkability Index to Test Impact of Microlevel Walkability on Sustainable Mode Choice Decisions , 2014 .

[53]  N. Itoh.  Visual guidance of walking: effects of illumination level and edge emphasis , 2006 .

[54]  Dawn K. Wilson,et al.  Associations of perceived social and physical environmental supports with physical activity and walking behavior. , 2004, American journal of public health.

[55]  Jin-Seung Choi,et al.  Differences in gait pattern between the elderly and the young during level walking under low illumination. , 2014, Acta of bioengineering and biomechanics.

[56]  Pr Boyce,et al.  Road lighting and energy saving , 2009 .

[57]  British Standard.  Code of practice for the design of road lighting , 2007 .

[58]  C. Izard,et al.  Stability of emotion experiences and their relations to traits of personality. , 1993, Journal of personality and social psychology.

[59]  Yoshiki Nakamura,et al.  A Study on Affects of Veiling Luminance on Pedestrian Visibility , 2008 .

[60]  C. Knight,et al.  Field surveys of the effect of lamp spectrum on the perception of safety and comfort at night , 2010 .