Biodiversity and tourism management platform

生物多样性与旅游管理平台

• 批准号: 80533
• 金额: $ 21.95万
• 依托单位: BOOKING LIVE SOFTWARE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=80533
• 关键词: Biodiversity; tourism; management; platform

**Vision**Biodiversity is key to mitigating climate change, and it is also a key engine of tourism. However tourism can also be one of the most destructive forces for biodiversity. Without careful management, visitor activity can degrade green spaces, introduce alien species and damage ecosystems, in turn negatively affecting tourism itself, with both environmental and economic costs. Covid-19 has brought unique pressures to bear. Every time lockdown has been eased, a number of natural spaces have struggled to cope with a sudden influx of visitors. More importantly, established patterns of visitor engagement with biodiverse spaces can no longer be regarded as predictive of behaviour and usage patterns in a post-Covid world.Our existing booking platform is already used to schedule visitors by leading custodians of biodiverse areas, such as the National Trust and local governments. The goal now is to empower these institutions to achieve new breakthroughs by integrating geographical information systems, cutting edge, AI-powered, predictive analytics, and behavioural prompts. This will allow institutions in charge of areas rich in biodiversity to understand, predict and manage visitor behaviour and interaction with natural spaces.**Key Objectives**\* enable institutions to map and understand visitor behaviour, anticipate and identify behavioural patterns, and combine scheduling, geolocation and behavioural prompts to achieve a step change in sustainable behaviour.\* comply strictly with user consent and device availability, ensuring equitable access to facilities and services while providing permissioned access to data where available.\* use beacon technology, WiFi, Bluetooth and phone geolocation data to monitor population density at the micro-level, allow real time population density management, mitigate of overcrowding, track footfall and over/under utilisation of natural resources.\* enable environmental behaviour management through zone-based access scheduling to manage population density and intensity of resource use.\* provide behavioural interventions through notifications, vibrations and messaging enabling incentive programmes to maximise compliance with environmental requirements.\* feed the data into heuristic and machine learning models that can analyse, recognise and predict behavioural patterns to facilitate planning and adaptation.**Areas of Focus**a) local authoritiesb) National Trust and tourism institutionsc) policy makers and research institutionsd) visitors**How it is Innovative**While there exist scheduling systems, geolocation apps, and behavioural nudges, nothing in the market integrates all these functionalities in a way that is usable and respects privacy and consent, while estimated visitor numbers do not operate at the geolocation level. One can estimate how many people have visited a beach or a forest, but not which spots at which times in what densities.Our solution integrates all these aspects to innovate a tool that can go most of the way toward achieving environmentally successful behaviours, and significantly accelerate and improve society's capacity to combat climate change while maintaining economic prosperity.Our innovation will make it easier to reconcile environmental and economic imperatives, and enable public sector and leading charities to progressively arrive at an environmentally sustainable "new normal".

** 愿景 ** 生物多样性是减缓气候变化的关键，也是旅游业的关键引擎。然而，旅游业也可能是对生物多样性最具破坏性的力量之一。如果不加以认真管理，游客的活动会使绿色空间退化，引进外来物种，破坏生态系统，从而对旅游业本身产生不利影响，造成环境和经济损失。新型冠状病毒疫情带来了独特的压力。每当封锁放松时，一些自然空间就难以科普突然涌入的游客。更重要的是，游客与生物多样性空间互动的既定模式不能再被视为后新冠肺炎世界的行为和使用模式的预测。我们现有的预订平台已经被生物多样性领域的主要监护人（如国民信托基金和地方政府）用于安排游客。现在的目标是通过整合地理信息系统、尖端、人工智能、预测分析和行为提示，使这些机构实现新的突破。这将使负责生物多样性丰富地区的机构能够了解、预测和管理游客行为以及与自然空间的互动。主要目标 ** 使机构能够绘制和了解游客行为，预测和识别行为模式，并将联合收割机调度、地理定位和行为提示结合起来，以实现可持续行为的逐步改变。严格遵守用户同意和设备可用性，确保对设施和服务的公平访问，同时提供对可用数据的许可访问。\*使用信标技术、WiFi、蓝牙和电话地理定位数据来监测微观层面的人口密度，允许真实的时间人口密度管理，缓解过度拥挤，跟踪客流量和自然资源的过度/不足利用。* 通过基于区域的出入时间安排管理人口密度和资源使用强度，实现环境行为管理。通过通知、振动和信息传递提供行为干预，从而使激励方案能够最大限度地遵守环境要求。将数据输入启发式和机器学习模型，这些模型可以分析、识别和预测行为模式，以促进规划和适应。关注领域 **a）地方当局b）国家信托和旅游机构c）政策制定者和研究机构d）游客 ** 它是如何创新的 ** 虽然存在调度系统，地理定位应用程序和行为助推，但市场上没有任何东西以可用的方式集成所有这些功能，并尊重隐私和同意，而估计的游客数量并不在地理定位级别上运行。人们可以估计有多少人参观过海滩或森林，但无法估计在什么时间在什么密度下参观过哪个地点。我们的解决方案整合了所有这些方面，创新了一种工具，可以在实现环保成功行为的大部分方面发挥作用，并显著加快和提高社会应对气候变化的能力，同时保持经济繁荣。我们的创新将使环境和这是一个经济上的当务之急，使公共部门和主要慈善机构能够逐步实现环境上可持续的“新常态”。