Personal and societal impacts of motorcycle ban policy on motorcyclists’ home-to-work morning commute in China

Aamaas, 2017, The climate impact of Norwegians’ travel behavior, Travel Behav. Soc., 6, 10, 10.1016/j.tbs.2016.04.001 Afghari, 2018, A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk, Analytic Methods Accid. Res., 18, 1, 10.1016/j.amar.2018.03.002 Afghari, 2019, Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models, Analytic Methods Accid. Res., 24 Alnawmasi, 2019, A statistical assessment of temporal instability in the factors determining motorcyclist injury severities, Analytic Methods Accid. Res., 22 Anastasopoulos, 2016, Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis, Analytic Methods Accid. Res., 11, 17, 10.1016/j.amar.2016.06.001 Anastasopoulos, 2012, Household automobile and motorcycle ownership analyzed with random parameters bivariate ordered probit model, Transp. Res. Record: J. Transp. Res. Board, 2279, 12, 10.3141/2279-02 Anastasopoulos, 2009, A note on modeling vehicle accident frequencies with random-parameters count models, Accid. Anal. Prev., 41, 153, 10.1016/j.aap.2008.10.005 Anastasopoulos, 2011, An empirical assessment of fixed and random parameter logit models using crash-and non-crash-specific injury data, Accid. Anal. Prev., 43, 1140, 10.1016/j.aap.2010.12.024 Behnood, 2017, Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances, Analytic Methods Accid. Res., 16, 35, 10.1016/j.amar.2017.08.001 Behnood, 2019, Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes, Analytic Methods Accid. Res., 23 Bhat, 2000, Incorporating observed and unobserved heterogeneity in urban work travel mode choice modeling, Transp. Sci., 34, 228, 10.1287/trsc.34.2.228.12306 Bhat, 2006, The impact of stop-making and travel time reliability on commute mode choice, Transp. Res. Part B: Method., 40, 709, 10.1016/j.trb.2005.09.008 Chan, 2007, Misconceptions and complexities in the study of China's cities: definitions, statistics, and implications, Eurasian Geogr. Econ., 48, 383, 10.2747/1538-7216.48.4.383 Chan, 2013, China: internal migration, Encyclopedia Glob. Human Mig., 10.1002/9781444351071.wbeghm124 Chang, 2011, Labor migration and time use patterns of the left-behind children and elderly in rural China, World Dev., 39, 2199, 10.1016/j.worlddev.2011.05.021 Cherry, 2009, Comparative environmental impacts of electric bikes in China, Transp. Res. Part D: Transp. Environ., 14, 281, 10.1016/j.trd.2008.11.003 Deng, 2009, Traffic countermeasures research for Guangzhou City in traffic mode transferring period after “motorcycle forbidden ban” effect, J. Transp. Sys. Eng. Inf. Technol., 9, 145 Ding, 2017, Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance, Transp. Res. Part A: Policy Practice, 100, 65 Dissanayake, 2010, Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region, J. Transp. Geogr., 18, 402, 10.1016/j.jtrangeo.2009.07.003 Du, 2005, Migration and rural poverty in China, J. Comp. Econ., 33, 688, 10.1016/j.jce.2005.09.001 Eker, 2019, An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States, Analytic Methods Accid. Res., 23 Eker, 2020, An exploratory investigation of public perceptions towards key benefits and concerns from the future use of flying cars, Travel Behav. Soc., 19, 54, 10.1016/j.tbs.2019.07.003 Emiogun, 2016, Motorcycle accident mortality in Lagos, Nigeria: impact of a traffic law, Afr. J. Trauma, 5, 43, 10.4103/ajt.ajt_12_16 Feng, 2017, Changing travel behaviour in urban China: evidence from Nanjing 2008–2011, Transp. Policy, 53, 1, 10.1016/j.tranpol.2016.08.011 Foshan Public Security Bureau, 2016. Foshan Public Security Bureau Information for foreigners. http://www.fsga.gov.cn/en/inffn/ Accessed 29 September 2016. Fountas, 2017, A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities, Analytic Methods Accid. Res., 15, 1, 10.1016/j.amar.2017.03.002 Fountas, 2018, Analysis of accident injury-severity outcomes: the zero-inflated hierarchical ordered probit model with correlated disturbances, Analytic Methods Accid. Res., 20, 30, 10.1016/j.amar.2018.09.002 Fountas, 2018, Analysis of stationary and dynamic factors affecting highway accident occurrence: a dynamic correlated grouped random parameters binary logit approach, Accid. Anal. Prev., 113, 330, 10.1016/j.aap.2017.05.018 Fountas, 2018, Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates, Analytic Methods Accid. Res., 18, 57, 10.1016/j.amar.2018.04.003 Fountas, 2018, Analysis of vehicle accident-injury severities: a comparison of segment-versus accident-based latent class ordered probit models with class-probability functions, Analytic Methods Accid. Res., 18, 15, 10.1016/j.amar.2018.03.003 Fountas, 2019, The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: a correlated grouped random parameters bivariate probit approach, Analytic Methods Accid. Res., 22 Frank, 2008, Urban form, travel time, and cost relationships with tour complexity and mode choice, Transportation, 35, 37, 10.1007/s11116-007-9136-6 Greene, 2003, A latent class model for discrete choice analysis: Contrasts with mixed logit, Transp. Res. Part B: Method., 37, 681, 10.1016/S0191-2615(02)00046-2 Guo, 2016, The impacts of property accessibility and neighborhood built environment on single-unit and multi-unit residential property values, Transp. Res. Record: J. Transp. Res. Board No. 2568, 10.3141/2568-15 Guo, 2015, Rail-truck multimodal freight collaboration: truck freight carrier perspectives in the United States, J. Transp. Eng., 141, 1, 10.1061/(ASCE)TE.1943-5436.0000792 Guo, 2020, Impacts of personalized accessibility information on residential location choice and travel behavior, Travel Behav. Soc., 19, 99, 10.1016/j.tbs.2019.12.007 Guo, 2016, Rail-truck multimodal freight collaboration: a statistical analysis of freight-shipper perspective, Transp. Planning Technol., 39, 484, 10.1080/03081060.2016.1174365 Guo, 2017, The impact of walkable environment on single-family residential property values, J. Transp. Land Use, 10, 1 Guo, Y., Wang, J., Peeta, S., 2016c. The impacts of household registration and head of household travel behavior on travel mode choice in China. In: Proceedings of Transportation Research Board 95th Annual Meeting, Washington, D.C., January 2016. Guo, 2018, Impacts of internal population migration, household registration system, and family planning policy on travel mode choice in China, Travel Behav. Soc., 13, 128, 10.1016/j.tbs.2018.07.003 Guo, 2018, Evaluating factors affecting electric bike users’ registration of license plate in China using Bayesian approach, Transp. Res. Part F: Traffic Psychol. Behav., 59, 212, 10.1016/j.trf.2018.09.008 Han, 2018, Investigating varying effect of road-level factors on crash frequency across regions: a Bayesian hierarchical random parameter modeling approach, Analytic Methods Accid. Res., 20, 81, 10.1016/j.amar.2018.10.002 He, 2002, Urban air pollution in China: current status, characteristics, and progress, Annu. Rev. Energy Env., 27, 397, 10.1146/annurev.energy.27.122001.083421 He, 2013, Energy use of and CO2 emissions from China’s urban passenger transportation sector carbon mitigation scenarios upon the transportation mode choices, Transp. Res. Part A: Policy Pract., 53, 53 Heydari, 2018, A flexible discrete density random parameters model for count data: embracing unobserved heterogeneity in highway safety analysis, Analytic Methods Accid. Res., 20, 68, 10.1016/j.amar.2018.10.001 Ji, 2017, Public bicycle as a feeder mode to rail transit in China: the role of gender, age, income, trip purpose, and bicycle theft experience, Int. J. Sustain. Transp., 11, 308, 10.1080/15568318.2016.1253802 Ji, 2018, Exploring spatially varying influences on metro-bikeshare transfer: a geographically weighted poisson regression approach, Sustainability, 10, 1526, 10.3390/su10051526 Kamargianni, 2015, Investigating the subjective and objective factors influencing teenagers’ school travel mode choice: an integrated choice and latent variable model, Transp. Res. Part A: Policy Pract., 78, 473 Kang, 2013, Bicyclist commuters’ choice of on-street versus off-street route segments, Transportation, 40, 887, 10.1007/s11116-013-9453-x Langenbucher, 2001, The validity of self-reported cost events by substance abusers: limits, liabilities, and future directions, Eval. Rev., 25, 184, 10.1177/0193841X0102500204 Liu, F., Yun, M., Liu, G., 2016. Will motorcyclist shift to bus or car in commuting: a case study of Zhongshan, China.In: Proceedings of Transportation Research Board 95th Annual Meeting, Washington, D.C., January 2016. Loo, 2012, Carbon dioxide emissions from passenger transport in China since 1949: implications for developing sustainable transport, Energy Policy, 50, 464, 10.1016/j.enpol.2012.07.044 Ma, 2012, A review of atmospheric chemistry research in China: photochemical smog, haze pollution, and gas-aerosol interactions, Adv. Atmos. Sci., 29, 1006, 10.1007/s00376-012-1188-7 Matthies, 2002, Travel mode choice of women: the result of limitation, ecological norm, or weak habit?, Environ. Behav., 34, 163, 10.1177/0013916502034002001 Marcoux, 2018, Evaluating temporal variability of exogenous variable impacts over 25 years: an application of scaled generalized ordered logit model for driver injury severity, Analytic Methods Accid. Res., 20, 15, 10.1016/j.amar.2018.09.001 McMillan, 2007, The relative influence of urban form on a child’s travel mode to school, Transp. Res. Part A: Policy Pract., 41, 69 McFadden, 1973 Mirbaha, B., Mohajeri, F., 2019. Investigating the Strategies for Reducing Motorcycle Mode Choice in Urban Trips: Case Study of Tehran City, Transportation Research Record, 0361198119842109. National Bureau of Statistics of China (NBSC), 2015. 2014 Population Census. National Development and Reform Commission, 2010. #90 Gasoline price in Guangdong province. http://auto.ifeng.com/news/special/youjia1001/. Accessed 29 September 2016. Pantangi, 2019, A preliminary investigation of the effectiveness of high visibility enforcement programs using naturalistic driving study data: a grouped random parameters approach, Analytic Methods Accid. Res., 21, 1, 10.1016/j.amar.2018.10.003 Paschalidis, 2019, Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behavior, Analytic Methods Accid. Res., 22 Paulssen, 2014, Values, attitudes, and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice, Transportation, 41, 873, 10.1007/s11116-013-9504-3 Pucher, 2007, Urban transport trends and policies in China and India: impacts of rapid economic growth, Transp. Rev., 27, 379, 10.1080/01441640601089988 Qiao, 2016, Modeling deterioration of bridge components with binary probit techniques with random effects, Transp. Res. Rec., 2550, 96, 10.3141/2550-13 Qiao, 2018, Acquiring insights into infrastructure repair policy using discrete choice models, Transp. Res. Part A: Policy Pract., 113, 491 Sarwar, 2017, Simultaneous estimation of discrete outcome and continuous dependent variable equations: a bivariate random effects modeling approach with unrestricted instruments, Analytic Methods Accid. Res., 16, 23, 10.1016/j.amar.2017.05.002 Saxena, 2019, Studying the tastes effecting mode choice behavior of travelers under transit service disruptions, Travel Behav. Soc., 17, 86, 10.1016/j.tbs.2019.07.004 Scheiner, 2007, Travel mode choice: affected by objective or subjective determinants?, Transportation, 34, 487, 10.1007/s11116-007-9112-1 Seraneeprakarn, 2017, Occupant injury severities in hybrid-vehicle-involved crashes: a random parameters approach with heterogeneity in means and variances, Analytic Methods Accid. Res., 15, 41, 10.1016/j.amar.2017.05.003 Shen, 2013, Increasing internal migration in China from 1985 to 2005: institutional versus economic drivers, Habitat Int., 39, 1, 10.1016/j.habitatint.2012.10.004 Simma, 2001, Structures of commitment in mode use: a comparison of Switzerland, Germany, and Great Britain, Transp. Policy, 8, 279, 10.1016/S0967-070X(01)00023-3 Song, 2015, Fuzzy comprehensive evaluation research of goal attainment of green transportation development policy—take Dongguan “motorcycle ban” policy as an example, J. Transp. Technol., 5, 46, 10.4236/jtts.2015.51005 Srinivasan, 2019, Built environment, income and travel behavior: change in the city of Chengdu, China 2005–2016, Int. J. Sust. Transp., 1 Tischer, 2019, Environmental and economic assessment of traffic-related air pollution using aggregate spatial information: a case study of Balneário Camboriú, Brazil, J. Transp. Health, 14, 10.1016/j.jth.2019.100592 Traffic Management Bureau of the Public Security Ministry Train, 2009 Volvo, Environment product declaration - Volvo 8500 low-entry report. Accessed 29 September 2016 2006. Wang, 2006, Integrated studies of a photochemical smog episode in Hong Kong and regional transport in the Pearl River Delta of China, Tellus B, 58, 31, 10.1111/j.1600-0889.2005.00172.x Wang, 2008, On-road vehicle emission inventory and its uncertainty analysis for Shanghai, China, Sci. Total Environ., 398, 60, 10.1016/j.scitotenv.2008.01.038 Washington, 2011 Weinert, 2007, Electric two-wheelers in China: effect on travel behavior, mode shift, and user safety perceptions in a medium-sized city, Transp. Res. Record: J. Transp. Res. Board, 2038, 62, 10.3141/2038-08 Wong, 2008, The resilience of migrant workers in Shanghai China: the roles of migration stress and meaning of migration, Int. J. Soc. Psychiatry, 54, 131, 10.1177/0020764007083877 Xiong, 2013, Impaction analysis of motorcycle forbidden policy's upon resident's traveling time cost, J. Transp. Sys. Eng. Inf. Technol., 13, 203 Xu, J., 2010. Motorcycle Taxi Drivers and Motorcycle Ban Policy in the Pearl River Delta, Doctoral dissertation, The University of Hong Kong. Xu, 2011, Drive-away policing and situational crime prevention in China: an analysis of motorcycle ban (jinmo) policy in Guangzhou, Int. J. Offender Therapy Comparative Criminol. Xu, 2014, Authoritarian policing with Chinese characteristics: a case study of motorcycle bans in the Pearl River Delta, Crime Law Social Change, 61, 439, 10.1007/s10611-013-9495-1 Yang, 2013, Modeling gender-based differences in mode choice considering time-use pattern: analysis of bicycle, public transit, and car use in Suzhou, China, Adv. Mech. Eng., 5, 1, 10.1155/2013/706918 Yang, 2018, Predicting e-bike users’ intention to run the red light: an application and extension of the theory of planned behavior, Transp. Res. Part F: Traffic Psychol. Behav., 58, 282, 10.1016/j.trf.2018.05.027 Ye, 2011, Case study of motorcycle use and policy analysis in Huizhou, China, J. Transp. Eng., 137, 831, 10.1061/(ASCE)TE.1943-5436.0000263 Yu, 2019, A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence, Analytic Methods Accid. Res., 24 Zuo, Z., 2009. guanyu jichu chengshi jinmo de tian (The proposal for the lift of motorcycle ban policy in cities). The proposal in 2009 Chinese People’s Political Consultative Conference, March. Beijing.