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Beijing_NP1 currently_RR has_VHZ about_RG two_MC million_NNO autos_NN2 and_CC more_DAR than_CSN eight_MC million_NNO bikes_NN2 ._. 
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This_DD1 will_VM change_VVI in_II the_AT near_JJ future_NN1 as_CSA more_DAR and_CC more_DAR people_NN have_VH0 the_AT income_NN1 to_TO buy_VVI cars_NN2 there_RL ._. 
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Shanghai'_VV0 s_ZZ1 auto_NN1 production_NN1 and_CC purchase_NN1 are_VBR major_JJ contributors_NN2 both_RR to_II the_AT economy_NN1 and_CC problems_NN2 in_II tenus_NN1 of_IO providing_VVG better_RRR and_CC better_JJR transportation_NN1 access_NN1 ._. 
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In_II Yangzhou_NP1 ,_, where_RRQ I_PPIS1 have_VH0 lived_VVN while_CS teaching_VVG in_II China_NP1 ,_, there_EX must_VM be_VBI millions_NNO2 of_IO bikes_NN2 ._. 
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As_CSA people_NN have_VH0 the_AT funds_NN2 to_TO obtain_VVI better_JJR means_NN of_IO transportation_NN1 ,_, with_IW better_JJR roads_NN2 ,_, and_CC stronger_JJR public_JJ transportation_NN1 systems_NN2 ,_, reliance_NN1 on_II bikes_NN2 and_CC motorcycles_NN2 may_VM decrease_VVI ._. 
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Most_DAT autos_NN2 are_VBR taxis_NN2 ,_, but_CCB this_DD1 too_RR will_VM change_VVI in_II a_AT1 short_JJ time_NNT1 as_CSA more_DAR people_NN can_VM buy_VVI their_APPGE own_DA cars_NN2 ._. 
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Yangzhou_NN1 is_VBZ a_AT1 university_NN1 city_NN1 ,_, so_CS it_PPH1 is_VBZ likely_JJ that_CST the_AT thousands_NNO2 of_IO university_NN1 students_NN2 there_EX will_VM continue_VVI to_TO ride_VVI bikes_NN2 ._. 
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However_RR ,_, as_CSA they_PPHS2 become_VV0 employed_JJ adults_NN2 ,_, the_AT economy_NN1 appears_VVZ to_TO improve_VVI steadily_RR ,_, and_CC they_PPHS2 will_VM be_VBI beneficiaries_NN2 of_IO increased_JJ income_NN1 ._. 
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This_DD1 will_VM lead_VVI more_DAR and_CC more_DAR of_IO them_PPHO2 to_TO move_VVI up_RP to_II motorcycles_NN2 ,_, or_CC even_RR to_II car_NN1 ownership_NN1 ._. 
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I_PPIS1 believe_VV0 ,_, however_RR ,_, that_CST bikes_NN2 will_VM continue_VVI to_TO be_VBI a_AT1 very_RG important_JJ part_NN1 of_IO Chinese_JJ life_NN1 for_IF many_DA2 years_NNT2 to_TO come_VVI ._. 
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There_EX are_VBR some_DD problems_NN2 for_IF bike_NN1 riders_NN2 in_II China_NP1 ._. 
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The_AT greatest_JJT of_IO these_DD2 appear_VV0 to_TO be_VBI the_AT sometimes_RT careless_JJ attention_NN1 to_II their_APPGE presence_NN1 by_II taxi_NN1 drivers_NN2 and_CC the_AT drivers_NN2 of_IO private_JJ cars_NN2 ._. 
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A_AT1 second_MD problem_NN1 seems_VVZ to_TO be_VBI the_AT lack_NN1 of_IO awareness_NN1 of_IO the_AT bike_NN1 riders_NN2 themselves_PPX2 to_II the_AT dangers_NN2 posed_VVN by_II approaching_VVG cars_NN2 and_CC motorcycles_NN2 ._. 
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Finally_RR ,_, it_PPH1 is_VBZ a_AT1 surprise_NN1 to_II me_PPIO1 that_CST all_DB bikes_NN2 are_VBR not_XX equipped_VVN with_IW a_AT1 light_NN1 and_CC front_JJ and_CC back_JJ red_JJ reflectors_NN2 for_IF greater_JJR safety_NN1 for_IF the_AT riders_NN2 ._. 
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In_II contrast_NN1 ,_, in_II very_RG large_JJ cities_NN2 in_II the_AT United_NP1 States_NP1 ,_, it_PPH1 is_VBZ often_RR very_RG impractical_JJ and_CC dangerous_JJ to_TO be_VBI a_AT1 bike_NN1 rider_NN1 ._. 
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Public_JJ transportation_NN1 systems_NN2 often_RR solve_VV0 the_AT problem_NN1 of_IO easy_JJ access_NN1 which_DDQ bicycles_NN2 might_VM serve_VVI in_II China_NP1 ._. 
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America_NP1 is_VBZ a_AT1 car_NN1 culture_NN1 ,_, except_CS in_II the_AT very_RG largest_JJT cities_NN2 where_RRQ parking_NN1 is_VBZ prohibitively_RR expensive_JJ ._. 
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With_IW many_DA2 families_NN2 having_VHG two_MC or_CC three_MC autos_NN2 in_II most_DAT medium_JJ sized_JJ cities_NN2 and_CC the_AT suburbs_NN2 ,_, children_NN2 ,_, some_DD teenagers_NN2 ,_, and_CC a_AT1 smaller_JJR number_NN1 of_IO health_NN1 conscious_JJ adults_NN2 ride_VV0 bikes_NN2 ._. 
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Most_DAT American_JJ teenagers_NN2 can_VM gain_VVI their_APPGE driving_JJ license_NN1 when_CS they_PPHS2 are_VBR sixteen_MC ,_, after_II which_DDQ their_APPGE bikes_NN2 become_VV0 less_DAR and_CC less_RGR important_JJ parts_NN2 of_IO their_APPGE lives_NN2 ._. 
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University_NN1 students_NN2 who_PNQS do_VD0 not_XX have_VHI cars_NN2 at_II the_AT campuses_NN2 where_CS they_PPHS2 study_VV0 may_VM ride_VVI bikes_NN2 ._. 
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The_AT general_JJ population_NN1 does_VDZ not_XX ride_VVI bikes_NN2 ,_, as_CSA we_PPIS2 go_VV0 almost_RR everywhere_RL in_II our_APPGE cars_NN2 ._. 
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We_PPIS2 Americans_NN2 all_DB might_VM be_VBI healthier_JJR and_CC have_VH0 much_DA1 less_DAR weight_NN1 if_CS we_PPIS2 rode_VVD bikes_NN2 regularly_RR like_II many_DA2 Chinese_JJ still_RR do_VD0 ._. 
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I_PPIS1 admire_VV0 the_AT lean_JJ ,_, healthy_JJ look_NN1 of_IO the_AT young_JJ Chinese_JJ bike_NN1 riders_NN2 ,_, which_DDQ I_PPIS1 believe_VV0 comes_VVZ in_II large_JJ part_NN1 by_II the_AT vigorous_JJ exercise_NN1 which_DDQ bike_NN1 riding_NN1 provides_VVZ them_PPHO2 ._. 
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For_IF me_PPIO1 ,_, though_CS I_PPIS1 do_VD0 not_XX ride_VVI a_AT1 bike_NN1 in_II China_NP1 ,_, bikes_NN2 seems_VVZ to_II me_PPIO1 a_AT1 very_RG attractive_JJ feature_NN1 of_IO Chinese_JJ life_NN1 which_DDQ I_PPIS1 would_VM not_XX like_VVI to_TO see_VVI destroyed_VVN ._. 
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