Ilil Beyer Bartana
The sur­roun­ding route envi­ron­ment as a pre­dic­tor for bicy­cle tra­vel demand

Pre­sent rese­arch pro­vi­des evi­dence that the route cha­rac­te­ris­tics and aspects of the sur­round-ing envi­ron­ment play an important, alt­hough not an exclu­sive, role in tra­vel choices rela­ted to cycling, and influ­ence the decision to bicy­cle. Accord­ing to cur­rent under­stan­ding of the topic, the cau­sa­lity of fac­tors of the route envi­ron­ment on cycling and non-cycling is not fully ascer­tai­ned. Moreo­ver, tra­vel demand models, which attempt at fore­cas­ting cycling beha­vior, to a great extent do not inte­grate the cycling net­work and its attri­bu­tes. The doc­to­ral pro­ject aims at sur­vey­ing and ana­ly­zing the influ­ence of the route envi­ron­ment on bicy­cle tra­vel demand using Ber­lin and Vienna as its empi­ri­cal cases. More spe­ci­fi­cally, it asks, what is the role of the per­so­nal eva­lua­tion of the route envi­ron­ment in bicy­cle tra­vel demand, and whe­ther the per­so­nal eva­lua­tion can exp­lain mobi­lity decisi­ons rela­ted to cycling.

 

The two rese­arch ques­ti­ons focus on both aspects of bicy­cle tra­vel demand – the mode and the route choice:

  • Which fac­tors of the route envi­ron­ment are decisive for the route choice in bicy­cle trips?
  • What kind of influ­ence does the per­so­nal eva­lua­tion of route alter­na­ti­ves have on the decision (not) to bicy­cle?

 

The rese­arch is desi­gned as a mixed-metho­do­lo­gi­cal study. The mixed-metho­do­lo­gi­cal approach aims to con­nect bet­ween two data collec­tion and ana­ly­sis pha­ses, where pro­blem-cen­te­red inter­views are fol­lo­wed by a sta­ted choice expe­ri­ment. The empha­sis on the sta­tis­ti­cal infe­rence asserts that the results of the study will be app­li­ca­ble in esti­ma­ting future tra­vel demand. Nevertheless, this study design implies an induc­tive rese­arch pro­cess, in which the ante­ce­dence of the qua­li­ta­tive phase demons­tra­tes the need of under­stan­ding the poten­tial of bicy­cle use ahead of asses­sing it. Results of this rese­arch will faci­li­tate future plan­ning efforts for cycling as well as tra­vel demand mode­ling in esti­ma­ting the decision to cycle and the route choices of bicy­c­lists. They will deter­mine fac­tors rele­vant for urban trans­por­ta­tion plan­ning that could faci­li­tate and acces­si­bi­lity with the bicy­cle as a trans­porta-tion mode. The deep inves­ti­ga­tion of fac­tors of the route envi­ron­ment and their mani­fes­ta­tion will help not only in gene­ral plan­ning, but also in the expli­cit design of faci­li­ties which attempt to pro­vide for bicy­cle traf­fic.