Mobility is a complex problem with many actors -both public and private- involved. It has been radically changed by the coming of the so-called Sharing Mobility revolution. Academic and practitioner studies on the topic are proliferating. Among others, benefits, motivations, barriers and substitution rate have been explored for the main sharing mobility programs. Nevertheless, a lack of researches relying on the theory of networks emerges in the field. This paper examines bike and car sharing services in the city of Milan, with the aim of analysing the structure of the networks of sharing mobility modes in the city. To do that, data tracking users’ movements has been collected from BikeMi, Milan’s bike sharing program and the user-centred digital platform Urbi that handles real-time information of car sharing companies such as Enjoy, Car2go and Share’nGo. The study provides information about the role of each Milan’s district or NIL -nucleo di identità locale- in the networks of the mentioned sharing mobility modes. A set of mobility KPIs, each one associated to the adequate stakeholders, has been defined to assess the impact of each mode in terms of convenience, sustainability and health. The outcomes achieved represent interesting insights that can be used as a support tool to decision making processes in the mobility field.
La mobilità rappresenta un problema complesso che coinvolge diversi attori sia del settore pubblico che privato. Questa è radicalmente cambiata dopo la così detta rivoluzione della Sharing Mobility. Gli studi, accademici e non, sull’argomento stanno proliferando. Tra gli altri, i benefici, le motivazioni, le barriere e il tasso di sostituzione sono stati esplorati per i singoli programmi di mobilità condivisa. Nonostante questo, una mancanza di ricerche supportate dalla teoria dei network emerge in questo campo. Questo studio esamina i servizi di bike e car sharing offerti nella città di Milano, con lo scopo di analizzare la struttura dei network delle modalità di trasporto “shared”. Per fare questo, sono stati raccolti dati traccianti i movimenti degli utenti da BikeMi, il programma di bike sharing milanese e dalla piattaforma digitale Urbi che possiede informazioni in tempo reale sullo stato dei servizi di car sharing di compagnie come Enjoy, Car2go e Share’nGo. Il seguente lavoro fornisce informazioni sul ruolo di ogni distretto o NIL (nucleo di identità locale) della città di Milano nei network delle singole sharing modes. Un set di KPIs, ciascuno dei quali associato agli adeguati stakeholders, è stato definito per stimare l’impatto che car sharing e bike sharing hanno in termini di convenienza, sostenibilità e salute. I risultati ottenuti rappresentano interessanti informazioni che possono essere usate a supporto dei processi decisionali nel campo della mobilità.
Analysis of sharing mobility networks : a study of Milan
DIAZ LEMA, MELISA LUCIA;ROBBIANI, ANDREA
2015/2016
Abstract
Mobility is a complex problem with many actors -both public and private- involved. It has been radically changed by the coming of the so-called Sharing Mobility revolution. Academic and practitioner studies on the topic are proliferating. Among others, benefits, motivations, barriers and substitution rate have been explored for the main sharing mobility programs. Nevertheless, a lack of researches relying on the theory of networks emerges in the field. This paper examines bike and car sharing services in the city of Milan, with the aim of analysing the structure of the networks of sharing mobility modes in the city. To do that, data tracking users’ movements has been collected from BikeMi, Milan’s bike sharing program and the user-centred digital platform Urbi that handles real-time information of car sharing companies such as Enjoy, Car2go and Share’nGo. The study provides information about the role of each Milan’s district or NIL -nucleo di identità locale- in the networks of the mentioned sharing mobility modes. A set of mobility KPIs, each one associated to the adequate stakeholders, has been defined to assess the impact of each mode in terms of convenience, sustainability and health. The outcomes achieved represent interesting insights that can be used as a support tool to decision making processes in the mobility field.File | Dimensione | Formato | |
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2016_12_Diaz_Robbiani.pdf
Open Access dal 06/12/2017
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https://hdl.handle.net/10589/129462