Measuring factors influencing valuation of nonmotorized improvement measures |
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| Institution: | 1. Transport Department, School of Civil Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain;2. Gerencia Municipal de Urbanismo, C/ Iris 11 Bajo, 02005 Albacete, Spain;1. Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 Valencia, Spain;2. Department of Mathematics, Faculty of Science, Universidad de Almería, 04120 Almería, Spain;3. Institut Universitari de Matemàtiques i Aplicacions de Castelló (IMAC), Universitat Jaume I, Campus del RiuSec. s/n, 12071 Castelló, Spain;1. DSIC-ELP, Universitat Politècnica de València, Camino de Vera s/n, Apdo 22012, 46071 Valencia, Spain;2. CLIP-Lab, Technical University of Madrid, E-28660, Boadilla del Monte, Madrid, Spain;3. DIMI, Università degli Studi di Udine, Via delle Scienze 206, 33100, Udine, Italy;1. Civil Engineering Department, Universidad de Chile, and Instituto Sistemas Complejos de Ingeniería (ISCI), Chile;2. Department of Economics, Pontificia Universidad Católica de Chile and Instituto Sistemas Complejos de Ingeniería (ISCI), Chile;3. FK Economics, Chile;1. Institute for Transport Planning and Systems (IVT), ETH Zürich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland;2. Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, NSW 2006, Australia |
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| Abstract: | This paper presents the application of a new methodology for data collection based on multiple survey methods to study how drivers and transit users value nonmotorized improvements. This multi-method survey consisted on a combination of user’s willingness to change, stated tolerance and contingent valuation experiments.Random parameter probit models were used to analyze data on willingness to cycle. Willingness to change to cycling is related to travel purpose, transportation mode, travel time and education level. Policies for promoting the use of bicycles should target these profiles so as to be more effective.Random parameter ordered probit models were used to study how different cycling measures were valued by respondents. The protection and maintenance of cycle lanes are significantly more valued than other improvement measures. The design of future cycling facilities should consider increasing safety and travel time reduction. Senior citizen’s willingness to change to cycling value to a lesser extent cycling improvement measures than people traveling to work or study. Strategies to promote cycling in each case are discussed. |
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| Keywords: | Travel data collection method Nonmotorized transportation Cycling improvement measures |
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