Adaptation and testing of a microscale audit tool to assess liveability using google street view: MAPS-liveability

نویسندگان

چکیده

Liveability is a complex, multifaceted concept with various definitions, but an agreed core set of features (e.g., safety, walkability). Typically, liveability measured at the macro-level (city or regional-level), and has been used in advocacy by local populations. However, micro-level (street-level) measurements could also/alternatively be to identify modifiable environmental impacting health well-being. To date, no tools exist. This study investigates reliability rater agreement new audit tool designed for use Google Street View (GSV). MAPS-Liveability (GSV), was adapted from Microscale Audit Pedestrian Streetscapes (MAPS). had two phases: 1) development (rapid literature review identifying concepts, focus groups confirming concepts adaptation); 2) investigation (researcher agreement). Assessment made of: total liveability; nine sub-characteristics health); 12 proxy measures behaviour including active travel bicycle racks, presence bicycles racks). Inter-rater sensitivity change were assessed percentage agreement, inter-class correlation coefficients (ICC) Wilcoxon signed-ranked tests ( p < 0.05). excellent (ICC 0.905–0.968) liveability, parked cars number (moving/parked); good 0.754–0.885) health, sustainability, places, rack capacity, racks (time-point 2), cyclists moving pedestrians; moderate 0.550–0.742) inclusivity, education, traffic/transport, pavements, roads, 1), 1). provides reliable assessment features. inter-rater moderate-excellent attributes behavioural indicators. GSV street-level supports safe, large-scale objective data collection, collection historical where primary unavailable. • important outcome transport infrastructure interventions. measuring liveability. score. moderate-good attributes.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity

BACKGROUND Walking for physical activity is associated with substantial health benefits for adults. Increasingly research has focused on associations between walking behaviours and neighbourhood environments including street characteristics such as pavement availability and aesthetics. Nevertheless, objective assessment of street-level data is challenging. This research investigates the reliabi...

متن کامل

Applying Google Maps and Google Street View in criminological research

Online mapping technologies such as Google Maps and Street View have become increasingly accessible. These technologies have many convenient uses in everyday life, but law enforcement agencies have expressed concern that they could be exploited by offenders and might alter existing offending patterns and habits. For environmental criminologists, they have the potential to open up new approaches...

متن کامل

Using Google Street View to audit the built environment: inter-rater reliability results.

BACKGROUND Observational field audits are recommended for public health research to collect data on built environment characteristics. A reliable, standardized alternative to field audits that uses publicly available information could provide the ability to efficiently compare results across different study sites and time. PURPOSE This study aimed to assess inter-rater reliability of built en...

متن کامل

Google Street View and Privacy

The Google Street View technology has proven to be highly controversial. Especially in a lot of European countries – where privacy and data protection laws are far stricter than e.g. in the United States – the launch of Street View has caused many residents and citizens to issues complaints to government officials about the project thereby claiming that it is a massive intrusion upon privacy an...

متن کامل

Accurate Image Localization Based on Google Maps Street View

Finding an image’s exact GPS location is a challenging computer vision problem that has many real-world applications. In this paper, we address the problem of finding the GPS location of images with an accuracy which is comparable to hand-held GPS devices.We leverage a structured data set of about 100,000 images build from Google Maps Street View as the reference images. We propose a localizati...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of transport and health

سال: 2021

ISSN: ['2214-1405', '2214-1413']

DOI: https://doi.org/10.1016/j.jth.2021.101226