Roads of our cities are congested, dangerous and vehicles circulating on them worsen the air quality and affect climate change. So why aren’t bicycles considered as an alternative? Bicycles are a green mode of transport who can drastically reduce congestion, reduce our carbon footprint and increase transportation accessibility due to their low cost. It’s not all, they are not as dangerous as cars for vulnerabe road users and being an active mode of transport they can provide a wide range of health benefits. Yet, their potential remains untapped. The thesis work focused on answering the question, "What factors influence the most the perceived quality of a bike trip?". A review of the literature on bikeability studies and bike users' perceptions of risk was carried out to identify the critical factors presented in the state of the art, then a Revealed Preference (RP) survey was developed to gather socioeconomic data and descriptions of the most recent bike trip, with evaluations of several trip-related Likert scale variables. Data from non-users about perceived bike safety and usefulness was also collected in a separate section. A total of 1,102 respondents participated in the survey, of which 874 were bike users, who described a total of 1,241 trips, and 229 were non-users. To answer the original question, Ordered Logit Models were developed for subsets of trips categorized as commuting, sports-related, and trips for other purposes, identifying critical factors influencing the quality of a bike trip. Exploratory and Confirmatory Factor Analysis were also conducted as a foundation for the development of Hybrid Choice Models. Finally, a Binary Logit Model was developed to investigate which socioeconomic variables influence the probability of being a bike user. The results of this thesis are a preliminary insight in the multifaceted world of bikeability with potential future developments.
Le strade delle nostre città sono congestionate, pericolose e i veicoli che vi circolano peggiorano la qualità dell'aria e influiscono negativamente sul cambiamento climatico. Quindi, perché le biciclette non sono considerate un'alternativa? Le biciclette sono un mezzo di trasporto che può ridurre drasticamente la congestione, ridurre le nostre emissioni e aumentare l'accessibilità ai trasporti grazie al loro basso costo. Non è tutto: non sono pericolose come le auto per gli utenti vulnerabili della strada e, essendo un mezzo di trasporto attivo, possono offrire una vasta gamma di benefici per la salute. Eppure, il loro potenziale rimane inespresso. Il lavoro di tesi si è concentrato nel rispondere alla domanda: "Quali fattori influenzano maggiormente la qualità percepita di un viaggio in bicicletta?". È stata condotta una revisione della letteratura sugli studi di ciclabilità e sulle percezioni degli utenti della bicicletta riguardo ai fattori di rischio, così da identificare i fattori critici presentati nello stato dell'arte. Successivamente, è stato sviluppato un sondaggio Revealed Preference (RP) per raccogliere dati socioeconomici e descrizioni dell'ultimo viaggio in bicicletta, con valutazioni di diverse variabili correlate al viaggio tramite scale Likert. I dati dei non utenti riguardo alla sicurezza percepita e all'utilità della bicicletta sono stati raccolti in una sezione separata. Un totale di 1.102 partecipanti ha risposto al sondaggio, di cui 874 erano ciclisti, che hanno descritto un totale di 1.241 viaggi, e 229 erano non utenti. Per rispondere alla domanda iniziale, sono stati sviluppati modelli Ordered Logit per subset di ciclisti classificati come pendolari, legati allo sport e per altri scopi, identificando i fattori critici che influenzano la qualità di un viaggio in bicicletta. Sono state inoltre condotte Exploratory e Confirmatory Factor Analysis come base per lo sviluppo di Hybrid Choice Models. Infine, è stato sviluppato un Binary Logit Model per indagare quali variabili socioeconomiche hanno un’influenza sulla probabilità di usare la bicicletta. I risultati di questa tesi forniscono una prima visione sul mondo sfaccettato della ciclabilità, con potenziali sviluppi futuri.
Discrete Choice Analysis for bikeability assessment
Baldini, Marco
2023/2024
Abstract
Roads of our cities are congested, dangerous and vehicles circulating on them worsen the air quality and affect climate change. So why aren’t bicycles considered as an alternative? Bicycles are a green mode of transport who can drastically reduce congestion, reduce our carbon footprint and increase transportation accessibility due to their low cost. It’s not all, they are not as dangerous as cars for vulnerabe road users and being an active mode of transport they can provide a wide range of health benefits. Yet, their potential remains untapped. The thesis work focused on answering the question, "What factors influence the most the perceived quality of a bike trip?". A review of the literature on bikeability studies and bike users' perceptions of risk was carried out to identify the critical factors presented in the state of the art, then a Revealed Preference (RP) survey was developed to gather socioeconomic data and descriptions of the most recent bike trip, with evaluations of several trip-related Likert scale variables. Data from non-users about perceived bike safety and usefulness was also collected in a separate section. A total of 1,102 respondents participated in the survey, of which 874 were bike users, who described a total of 1,241 trips, and 229 were non-users. To answer the original question, Ordered Logit Models were developed for subsets of trips categorized as commuting, sports-related, and trips for other purposes, identifying critical factors influencing the quality of a bike trip. Exploratory and Confirmatory Factor Analysis were also conducted as a foundation for the development of Hybrid Choice Models. Finally, a Binary Logit Model was developed to investigate which socioeconomic variables influence the probability of being a bike user. The results of this thesis are a preliminary insight in the multifaceted world of bikeability with potential future developments.File | Dimensione | Formato | |
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2024_10_Baldini_Thesis.pdf
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2024_10_Baldini_Executive_Summary.pdf
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https://hdl.handle.net/10589/226958