Domains and initiatives of smart destinations involved agents and expected effects
| Domains of “Smart Destination” | Agents | Systems (Example) | Effects on visitors’ experience and satisfaction | Potential effects for citizens inclusion/destination cohesion | |
|---|---|---|---|---|---|
| Positive | Negative | ||||
| Smart mobility | Public and PP transit providers’ Transport companies, Parking managers | Flexible routing of public transport according to user demand | Facilitated use of public transport for visitors | Diminished use of public cars by visitors, reduced queues, better internal accessibility | Increased visitor pressure on public transport system in core “tourist areas” |
| Road and access pricing schemes for non-resident vehicles | De-crowding of access roads, easiest circulation | Controlled traffic, revenue to be reinvested in infrastructure and service improvement | Non-tourist commuters affected, especially workers to central tourist facilities | ||
| Public bike rental systems | Availability of cheap bikes to visitors, better mobility experience | Increased use of non-contaminating transport | Heavy tourist occupation of bike lanes and infrastructure used by workers | ||
| Parking space locator services | Easier and faster parking | More ordered traffic, revenue from parking use | Increased substitution of private resident parking with visitor parking | ||
| Tourist information and management systems | DMOs, attraction managers, planning authorities | User-activated personalised recommendations | Increased accessibility of visitor attractions, more time-efficient and tailored visits | More dispersed visitor pressure, promotion of a wider set of attractions | Increased visitor pressure in residential neighbourhoods, everyday spaces |
| Immersive experiences at heritage sites | Increased comprehensibility of heritage, events, etc. | Better capacity of promotion of intangibles, more time/money spent at sites | Capacity of representation out of the hands of citizens | ||
| Crowd control and re-direction systems | Diminished risks from overcrowding, increased safety against robbery or terrorist attacks | Reduced risks, abatement of incidents and related costs, more efficient surveillance | Privacy infringements to vulnerable collectives | ||
| Sharing platforms | Corporate p2p platforms, private providers | “Collaborative” transport (Über, etc.) | Increased accessibility and security of private transport, cheaper taxis | Increased capacity of the taxi system | More and unregulated cabs on the streets, aggravation of precarious labour |
| Hospitality platforms (Airbnb, etc.) | Increased stock of accommodation, better adaptation to demand, better services to families | Flexible expansion of accommodation stock, promotion of “community identity”, revenue to citizens at risk of exclusion | Airbnb’s effects on labour and real estate market | ||
| Free tours and visitor experiences | Opportunities for personalised visits | Promotion and valorisation of personal knowledge | Casualisation of labour, de-professionalisation of guides | ||
| Domains of “Smart Destination” | Agents | Systems (Example) | Effects on visitors’ experience and satisfaction | Potential effects for citizens inclusion/destination cohesion | |
|---|---|---|---|---|---|
| Positive | Negative | ||||
| Smart mobility | Public and PP transit providers’ Transport companies, Parking managers | Flexible routing of public transport according to user demand | Facilitated use of public transport for visitors | Diminished use of public cars by visitors, reduced queues, better internal accessibility | Increased visitor pressure on public transport system in core “tourist areas” |
| Road and access pricing schemes for non-resident vehicles | De-crowding of access roads, easiest circulation | Controlled traffic, revenue to be reinvested in infrastructure and service improvement | Non-tourist commuters affected, especially workers to central tourist facilities | ||
| Public bike rental systems | Availability of cheap bikes to visitors, better mobility experience | Increased use of non-contaminating transport | Heavy tourist occupation of bike lanes and infrastructure used by workers | ||
| Parking space locator services | Easier and faster parking | More ordered traffic, revenue from parking use | Increased substitution of private resident parking with visitor parking | ||
| Tourist information and management systems | DMOs, attraction managers, planning authorities | User-activated personalised recommendations | Increased accessibility of visitor attractions, more time-efficient and tailored visits | More dispersed visitor pressure, promotion of a wider set of attractions | Increased visitor pressure in residential neighbourhoods, everyday spaces |
| Immersive experiences at heritage sites | Increased comprehensibility of heritage, events, etc. | Better capacity of promotion of intangibles, more time/money spent at sites | Capacity of representation out of the hands of citizens | ||
| Crowd control and re-direction systems | Diminished risks from overcrowding, increased safety against robbery or terrorist attacks | Reduced risks, abatement of incidents and related costs, more efficient surveillance | Privacy infringements to vulnerable collectives | ||
| Sharing platforms | Corporate p2p platforms, private providers | “Collaborative” transport (Über, etc.) | Increased accessibility and security of private transport, cheaper taxis | Increased capacity of the taxi system | More and unregulated cabs on the streets, aggravation of precarious labour |
| Hospitality platforms (Airbnb, etc.) | Increased stock of accommodation, better adaptation to demand, better services to families | Flexible expansion of accommodation stock, promotion of “community identity”, revenue to citizens at risk of exclusion | Airbnb’s effects on labour and real estate market | ||
| Free tours and visitor experiences | Opportunities for personalised visits | Promotion and valorisation of personal knowledge | Casualisation of labour, de-professionalisation of guides | ||
Note:
PP: Public-private
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