doi:10.48130/dts-0024-0026

[1]

Rehman FU, Islam MM, Miao Q. 2023. Environmental sustainability via green transportation: A case of the top 10 energy transition nations. Transport Policy 137:32−44

doi: 10.1016/j.tranpol.2023.04.013

[2]

Nolan J, Sinclair J, Savage J. 2021. Are bicycle lanes effective? The relationship between passing distance and road characteristics. Accident Analysis & Prevention 159:106184

doi: 10.1016/j.aap.2021.106184

[3]

Makarova I, Boyko A, Giniyatullin I, Ahmadeeva A. 2020. Development of transport infrastructure in smart cities. IOP Conference Series: Materials Science and Engineering 786:012073

doi: 10.1088/1757-899x/786/1/012073

[4]

Verhoeven H, Van Hecke L, Van Dyck D, Baert T, Van de Weghe N, et al. 2018. Differences in physical environmental characteristics between adolescents' actual and shortest cycling routes: a study using a Google Street View-based audit. International Journal of Health Geographics 17:15

doi: 10.1186/s12942-018-0135-y

[5]

Aldred R, Woodcock J, Goodman A. 2016. Does more cycling mean more diversity in cycling? Transport Reviews 36:28−44

doi: 10.1080/01441647.2015.1014451

[6]

Prati G, Marín Puchades V, De Angelis M, Fraboni F, Pietrantoni L. 2018. Factors contributing to bicycle-motorised vehicle collisions: a systematic literature review. Transport Reviews 38:184−208

doi: 10.1080/01441647.2017.1314391

[7]

Rowangould GM, Tayarani M. 2016. Effect of bicycle facilities on travel mode choice decisions. Journal of Urban Planning and Development 142:10

doi: 10.1061/(asce)up.1943-5444.0000341

[8]

Harris MA, Reynolds CCO, Winters M, Cripton PA, Shen H, et al. 2013. Comparing the effects of infrastructure on bicycling injury at intersections and non-intersections using a case-crossover design. Injury Prevention 19:303−10

doi: 10.1136/injuryprev-2012-040561

[9]

Boufous S, Beck B, Macniven R, Pettit C, Ivers R. 2021. Facilitators and barriers to cycling in older residents of New South Wales, Australia. Journal of Transport & Health 21:101056

doi: 10.1016/j.jth.2021.101056

[10]

Tay R, Churchill A. 2007. Effect of different median barriers on traffic speed. Canadian Journal of Transportation 1(1):56−66

[11]

Li Y, Zhou WH, Nan SR, Wang F, Chen KM. 2017. Redesign of the cross-section of bicycle lanes considering electric bicycles. Proceedings of the Institution of Civil Engineers-Transport 170(5):255−66

doi: 10.1680/jtran.16.00175

[12]

Lioi A, Hazoor A, Castro M, Bassani M. 2022. Impact on driver behaviour of guardrails of different height in horizontal-vertical coordinated road scenarios with a limited available sight distance. Transportation Research Part F-Traffic Psychology and Behaviour 84:287−300

doi: 10.1016/j.trf.2021.12.008

[13]

Bowie C, Thomas J, Davison A, O'Donnell K, Kortegast P. 2019. Factors affecting cycling levels of service. Research Report 660. www.nzta.govt.nz/resources/research/reports/660

[14]

Ling R, Rothman L, Cloutier MS, MacArthur C, Howard A. 2020. Cyclist-motor vehicle collisions before and after implementation of cycle tracks in Toronto, Canada. Accident Analysis and Prevention 135:7

doi: 10.1016/j.aap.2019.105360

[15]

Li Z, Wang W, Liu P, Schneider R, Ragland DR. 2012. Investigating bicyclists' perception of comfort on physically separated bicycle paths in Nanjing, China. Transportation Research Record 2317:76−84

doi: 10.3141/2317-10

[16]

Kaplan S, Giacomo Prato C. 2015. A spatial analysis of land use and network effects on frequency and severity of cyclist-motorist crashes in the Copenhagen Region. Traffic Injury Prevention 16:724−31

doi: 10.1080/15389588.2014.1003818

[17]

Cicchino JB, McCarthy ML, Newgard CD, Wall SP, DiMaggio CJ, et al. 2020. Not all protected bike lanes are the same: Infrastructure and risk of cyclist collisions and falls leading to emergency department visits in three US cities. Accident Analysis and Prevention 141:105490

doi: 10.1016/j.aap.2020.105490

[18]

Knight A, Charlton SG. 2022. Protected and unprotected cycle lanes' effects on cyclists' behaviour. Accident Analysis and Prevention 171:106668

doi: 10.1016/j.aap.2022.106668

[19]

Fitch DT, Carlen J, Handy SL. 2022. What makes bicyclists comfortable? Insights from a visual preference survey of casual and prospective bicyclists. Transportation Research Part A: Policy and Practice 155:434−49

doi: 10.1016/j.tra.2021.11.008

[20]

Mertens L, Van Cauwenberg J, Ghekiere A, Van Holle V, De Bourdeaudhuij I, et al. 2015. Does the effect of micro-environmental factors on a street's appeal for adults' bicycle transport vary across different macro-environments? An experimental study. Plos One 10:e0136715

doi: 10.1371/journal.pone.0136715

[21]

Karlsen K, Fyhri A. 2020. Is red the new black? A quasi-experimental study comparing perceptions of differently coloured cycle lanes. Frontiers in Psychology 11:554488

doi: 10.3389/fpsyg.2020.554488

[22]

von Stülpnagel R, Binnig N. 2022. How safe do you feel? A large-scale survey concerning the subjective safety associated with different kinds of cycling lanes. Accident Analysis and Prevention 167:106577

doi: 10.1016/j.aap.2022.106577

[23]

Olsson SR, Elldér E. 2023. Are bicycle streets cyclist-friendly? Micro-environmental factors for improving perceived safety when cycling in mixed traffic. Accident Analysis and Prevention 184:107007

doi: 10.1016/j.aap.2023.107007

[24]

Abadi MG, Hurwitz DS. 2018. Bicyclist's perceived level of comfort in dense urban environments: How do ambient traffic, engineering treatments, and bicyclist characteristics relate? Sustainable Cities and Society 40:101−9

doi: 10.1016/j.scs.2018.04.003

[25]

Sanders RL. 2015. Perceived traffic risk for cyclists: the impact of near miss and collision experiences. Accident Analysis & Prevention 75:26−34

doi: 10.1016/j.aap.2014.11.004

[26]

Chen J, Zhang H, Wang H, Wu P. 2021. Understanding plum rain's effects on urban public bicycle unavailability considering both place semantics and riding distance. ISPRS International Journal of Geo-Information 10:18

doi: 10.3390/ijgi10010018

[27]

Blitz A, Busch-Geertsema A, Lanzendorf M. 2020. More cycling, less driving? Findings of a cycle street intervention study in the Rhine-Main Metropolitan Region, Germany. Sustainability 12:805

doi: 10.3390/su12030805

[28]

Fyhri A, Karlsen K, Sundfør HB. 2021. Paint It Red-A Multimethod Study of the Nudging Effect of Coloured Cycle Lanes. Frontiers in Psychology 12:662679

doi: 10.3389/fpsyg.2021.662679

[29]

Sanders RL. 2016. We can all get along: the alignment of driver and bicyclist roadway design preferences in the San Francisco Bay Area. Transportation Research Part A: Policy and Practice 91:120−33

doi: 10.1016/j.tra.2016.06.002

[30]

Vera-Villarroel P, Contreras D, Lillo S, Beyle C, Segovia A, et al. 2016. Perception of safety and liking associated to the colour intervention of bike lanes: contribution from the behavioural sciences to urban design and wellbeing. Plos One 11:e0160399

doi: 10.1371/journal.pone.0160399

[31]

Branion-Calles M, Nelson T, Fuller D, Gauvin L, Winters M. 2019. Associations between individual characteristics, availability of bicycle infrastructure, and city-wide safety perceptions of bicycling: a cross-sectional survey of bicyclists in 6 Canadian and US cities. Transportation Research Part A: Policy and Practice 123:229−39

doi: 10.1016/j.tra.2018.10.024

[32]

Wang C, Zhang W, Feng Z, Wang K, Gao Y. 2020. Exploring factors influencing the risky cycling behaviors of young cyclists aged 15-24 years: a questionnaire-based study in China. Risk Analysis 40:1554−70

doi: 10.1111/risa.13499

[33]

Cobey KD, Stulp G, Laan F, Buunk AP, Pollet TV. 2013. Sex differences in risk taking behavior among Dutch cyclists. Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior 11: 350-64

[34]

Useche SA, Montoro L, Tomas JM, Cendales B. 2018. Validation of the Cycling Behavior Questionnaire: a tool for measuring cyclists' road behaviors. Transportation Research Part F-Traffic Psychology and Behaviour 58:1021−30

doi: 10.1016/j.trf.2018.08.003

[35]

Fonda B, Sarabon N, Li F. 2017. Bicycle rider control skills: expertise and assessment. Journal of Sports Sciences 35:1383−91

doi: 10.1080/02640414.2015.1039049

[36]

Wang L, Ning P, Yin P, Cheng P, Schwebel DC, et al. 2019. Road traffic mortality in China: analysis of national surveillance data from 2006 to 2016. Lancet Public Health 4:E245−E255

doi: 10.1016/S2468-2667(19)30057-X

[37]

Cykelfrämjandet. 2020. Cyklistvelometer 2020. https://cykelframjandet.se/wp-content/uploads/2020/07/cyklistvelometern-2020_huvudrapport.pdf

[38]

Lawson AR, Pakrashi V, Ghosh B, Szeto WY. 2013. Perception of safety of cyclists in Dublin City. Accident; analysis and prevention 50:499−511

doi: 10.1016/j.aap.2012.05.029

[39]

Li J, Feng Z, Zhang W, Zhu D, Huang Z. 2024. Evolution of green travel behaviour on dynamic social networks. Travel Behaviour and Society 37:12

doi: 10.1016/j.tbs.2024.100866

[40]

Feng Z, Gao Y, Zhu D, Chan H, Zhao M, et al. 2024. Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model. Transport Policy 152:71−86

doi: 10.1016/j.tranpol.2024.05.001

[41]

Train K. 2000. Halton Sequence for Mixed Logit. University of California, Berkeley. https://escholarship.org/uc/item/6zs694tp

[42]

Bhat CR. 2003. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transportation Research Part B-Methodological 37:837−55

doi: 10.1016/S0191-2615(02)00090-5

[43]

Lee J, Yasmin S, Eluru N, Abdel-Aty M, Cai Q. 2018. Analysis of crash proportion by vehicle type at traffic analysis zone level: a mixed fractional split multinomial logit modeling approach with spatial effects. Accident Analysis and Prevention 111:12−22

doi: 10.1016/j.aap.2017.11.017

[44]

Zhu D, Sze NN, Feng Z. 2021. The trade-off between safety and time in the red light running behaviors of pedestrians: A random regret minimization approach. Accident Analysis and Prevention 158:106214

doi: 10.1016/j.aap.2021.106214

[45]

Zhu M, Sze NN, Newnam S, Zhu D. 2023. Do footbridge and underpass improve pedestrian safety? A Hong Kong case study using three-dimensional digital map of pedestrian network. Accident Analysis and Prevention 186:107064

doi: 10.1016/j.aap.2023.107064

[46]

Zhu D, Sze NN, Feng Z, Chan HY. 2023. Waiting for signalized crossing or walking to footbridge/underpass? Examining the effect of weather using stated choice experiment with panel mixed random regret minimization approach. Transport Policy 138:144−69

doi: 10.1016/j.tranpol.2023.04.020

[47]

Iraganaboina NC, Bhowmik T, Yasmin S, Eluru N, Abdel-Aty MA. 2021. Evaluating the influence of information provision (when and how) on route choice preferences of road users in Greater Orlando: Application of a regret minimization approach. Transportation Research Part C-Emerging Technologies 122:102923

doi: 10.1016/j.trc.2020.102923

[48]

Leong W, Hensher DA. 2015. Contrasts of relative advantage maximisation with random utility maximisation and regret minimisation. Journal of Transport Economics and Policy (JTEP) 49(1):167−86

[49]

Zhai X, Huang H, Sze NN, Song Z, Hon KK. 2019. Diagnostic analysis of the effects of weather condition on pedestrian crash severity. Accident Analysis and Prevention 122:318−24

doi: 10.1016/j.aap.2018.10.017

[50]

National Bureau of Statistics of China. 2022. China Statistical Yearbook 2022. www.stats.gov.cn/sj/ndsj/2022/indexch.htm

[51]

Falco A, Piccirelli A, Girardi D, Dal Corso L, De Carlo NA. 2013. Risky riding behavior on two wheels: the role of cognitive, social, and personality variables among young adolescents. Journal of Safety Research 46:47−57

doi: 10.1016/j.jsr.2013.03.002

[52]

Winters M, Teschke K. 2010. Route preferences among adults in the near market for bicycling: findings of the cycling in cities study. American Journal of Health Promotion 25:40−47

doi: 10.4278/ajhp.081006-QUAN-236

[53]

Lovelace R, Roberts H, Kellar I. 2016. Who, where, when: the demographic and geographic distribution of bicycle crashes in West Yorkshire. TransportatioN Research Part F: Traffic Psychology and Behaviour 41:277−93

doi: 10.1016/j.trf.2015.02.010

[54]

Kovácsová N, de Winter JCF, Schwab AL, Christoph M, Twisk DAM, et al. 2016. Riding performance on a conventional bicycle and a pedelec in low speed exercises: Objective and subjective evaluation of middle-aged and older persons. Transportation Research Part F: Traffic Psychology and Behaviour 42:28−43

doi: 10.1016/j.trf.2016.06.018

[55]

Schleinitz K, Petzoldt T, Kröling S, Gehlert T, Mach S. 2019. (E-)Cyclists running the red light - The influence of bicycle type and infrastructure characteristics on red light violations. Accident Analysis and Prevention 122:99−107

doi: 10.1016/j.aap.2018.10.002

[56]

Garber MD, Watkins KE, Flanders WD, Kramer MR, Felipe Lobelo RL, et al. 2023. Bicycle infrastructure and the incidence rate of crashes with cars: A case-control study with Strava data in Atlanta. Journal of Transport & Health 32:101669

doi: 10.1016/j.jth.2023.101669

[57]

Thomas B, DeRobertis M. 2013. The safety of urban cycle tracks: a review of the literature. Accident Analysis & Prevention 52:219−27

doi: 10.1016/j.aap.2012.12.017